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FD6317

Deploy Offshore Wind Turbines

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Summary

Offshore wind turbines are ocean-based machines that harness natural wind to generate electricity. These turbines use the relatively strong winds over the water to rotate their blades, which power a generator to make electricity. The electricity travels through underwater cables to reach the land. There are two main types: fixed-bottom turbines, which are attached to the seabed in shallow waters (typically up to 60 meters deep), and floating turbines, which sit on platforms anchored in deeper waters. Offshore wind farms can produce more electricity than land-based wind farms because ocean winds are usually stronger and steadier than winds on land.

Deploying additional offshore wind turbines reduces CO₂ emissions by increasing the availability of renewable energy sources to meet electricity demand, therefore reducing dependence on fossil fuel-based sources in the overall electricity grid mix.

Income & work,Health
Nature protection,Air quality
Description for Social and Search
Deploy Offshore Wind is a Highly Recommended climate solution. It offers immense clean energy potential, but the race to scale it will test our ingenuity against the forces of nature, high costs, and competing uses of the seas.
Overview

Offshore wind turbines generate electricity by converting the energy from rotating turbine blades into electrical energy. The main components of offshore wind turbines include rotor blades, a tower to raise the rotor above the water, a nacelle hub that houses the generator and other key components, and a foundation that stabilizes the structure in the water. Offshore wind farms require additional infrastructure to transport generated energy through undersea cables to transformers and power substations before electricity can be supplied to consumers (Figure 1). To optimize performance, offshore turbines often use advanced control systems (e.g., yaw, pitch, and safety sensors).

Figure 1. Simplified schematic of an offshore wind power system, showing electricity flow from wind turbines through array cables, offshore and onshore substations, and transmission and distribution infrastructure to end users.

Schematic diagram of an offshore wind power system.

Source: Ørsted (n.d.) 

Offshore wind turbines are often placed far from the coast to avoid causing noise pollution or taking up space on land. Foundations can be fixed to the seafloor (fixed-bottom) or floating depending on water depth and other characteristics, such as seabed topography and operational logistics (Afridi et al., 2024). Most offshore wind turbines operating in 2023 were fixed-bottom and limited to seafloor depths around 50 meters. Floating wind farms access wind resources over deeper waters, up to 1,000 meters (de La Beaumelle et al., 2023). 

Wind speeds over water are generally higher and more consistent than over land, which allows for more reliable and increased electricity generation. Potential power generated from offshore wind turbines is directly proportional to the swept area of the rotor blades and the wind speed cubed; a doubling of wind speed corresponds to an eightfold increase in power (U.S. Energy Information Administration [U.S. EIA], 2024). The maximum electrical power a turbine can generate is its capacity in MW. The average installed offshore wind turbine rating grew from 7.7 MW in 2022 to 9.7 MW in 2023 (McCoy et al., 2024), with the total global installed capacity reaching 75.2 gigawatts (GW) in 2023 (Global Wind Energy Council [GWEC], 2024).

The global weighted average capacity factor for offshore wind turbines has reached 41% (International Renewable Energy Agency [IRENA], 2024c) – an increase from 38% a decade earlier – driven by advancements in turbine efficiency, hub height, rotor diameter, and siting optimization. Our analysis assumed an offshore wind turbine capacity factor of 41% (IRENA, 2024c). Offshore wind capacity varies across regions due to differences in policy support, coastal geography, water depths, and infrastructure readiness. Electric power output can be converted to energy generated by multiplying capacity by the time interval and the capacity factor. For annual generation, we multiply by 8,760 hours for one year.

The main siting considerations for offshore wind farms are distance from shore and water depth, but energy output can also be impacted by atmospheric wind conditions as well as the configuration of turbines within a wind farm (de La Beaumelle et al., 2023; IRENA, 2024c). Protected areas are also excluded during siting.

Since wind is a clean and renewable resource, offshore wind turbines do not contribute to GHG emissions or air pollution while generating energy. There are emissions associated with the manufacturing and transportation of turbine components. For this assessment, we did not quantify emissions during the construction of offshore wind farms; these emissions can be addressed with industry-sector solution assessments. Increased deployment of offshore wind turbines contributes to reduced CO₂ emissions when it reduces the need for electricity generation from fossil fuels.

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Afridi, S. K., Koondhar, M. A., Jamali, M. I., Alaas, Z. M., Alsharif, M. H., Kim, M. K., Mahariq, I., Touti, E., Aoudia, M., & Ahmed, M. M. R. (2024). Winds of progress: An in-depth exploration of offshore, floating, and onshore wind turbines as cornerstones for sustainable energy generation and environmental stewardship. IEEE Access, 12, 66147–66166. Link to source: https://doi.org/10.1109/ACCESS.2024.3397243 

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Galparsoro, I., Menchaca, I., Garmendia, J. M., Borja, Á., Maldonado, A. D., Iglesias, G., & Bald, J. (2022). Reviewing the ecological impacts of offshore wind farms. npj Ocean Sustainability, 1, Article 1. Link to source: https://doi.org/10.1038/s44183-022-00003-5 

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Gonyo, S. B., Fleming, C. S., Freitag, A., & Goedeke, T. L. (2021). Resident perceptions of local offshore wind energy development: Modeling efforts to improve participatory processes. Energy Policy, 149, Article 112068. Link to source: https://doi.org/10.1016/J.ENPOL.2020.112068

Haggett, C. (2011). Understanding public responses to offshore wind power. Energy Policy, 39(2), 503–510. Link to source: https://doi.org/10.1016/J.ENPOL.2010.10.014 

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International Energy Agency. (2019). Offshore wind outlook 2019. Link to source: https://www.iea.org/reports/offshore-wind-outlook-2019 

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International Energy Agency. (2024b). World energy outlook 2024. Link to source: https://www.iea.org/reports/world-energy-outlook-2024 

International Energy Agency, & Nuclear Energy Agency. (2020). Projected costs of generating electricity – 2020 edition [Report]. OECD Publishing. Link to source: https://www.oecd-nea.org/upload/docs/application/pdf/2020-12/egc-2020_2020-12-09_18-26-46_781.pdf 

International Renewable Energy Agency. (2024a). Floating offshore wind outlook. Link to source: https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2024/Jul/IRENA_G7_Floating_offshore_wind_outlook_2024.pdf 

International Renewable Energy Agency. (2024b). Renewable energy statistics 2024. Link to source: https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2024/Jul/IRENA_Renewable_Energy_Statistics_2024.pdf 

International Renewable Energy Agency. (2024c). Renewable power generation costs in 2023. Link to source: https://www.irena.org/Publications/2024/Sep/Renewable-Power-Generation-Costs-in-2023 

International Renewable Energy Agency, & Global Wind Energy Council. (2023). Enabling frameworks for offshore wind scale up: Innovations in permitting. Link to source: https://www.energycentral.com/renewables/post/irena-enabling-frameworks-offshore-wind-scale---innovations-permitting-vZRn6mKeZ1hBX0n 

Jansen, M., Staffell, I., Kitzing, L., Quoilin, S., Wiggelinkhuizen, E., Bulder, B., Riepin, I., & Müsgens, F. (2020). Offshore wind competitiveness in mature markets without subsidy. Nature Energy, 5(8), 614–622. Link to source: https://doi.org/10.1038/s41560-020-0661-2 

Kaldellis, J. K., & Apostolou, D. (2017). Life cycle energy and carbon footprint of offshore wind energy. Comparison with onshore counterpart. Renewable Energy, 108, 72–84. Link to source: https://doi.org/10.1016/J.RENENE.2017.02.039 

Lazard. (2023, April). LCOE+ [PowerPoint slides]. Link to source: https://www.lazard.com/media/2ozoovyg/lazards-lcoeplus-april-2023.pdf

Letcher, T. M. (Ed.). (2023). Wind energy engineering : A handbook for onshore and offshore wind turbines (2nd ed.). Academic Press. Link to source: https://www.sciencedirect.com/book/9780323993531/wind-energy-engineering 

Lopez, A., Green, R., Williams, T., Lantz, E., Buster, G., & Roberts, B. (2022). Offshore wind energy technical potential for the contiguous United States [Report]. Link to source: https://docs.nrel.gov/docs/fy22osti/83650.pdf 

McCoy, A., Musial, W., Hammond, R., Mulas Hernando, D., Duffy, P., Beiter, P., Pérez, P., Baranowski, R., Reber, G., & Spitsen, P. (2024). Offshore wind market report: 2024 edition (NREL/TP-5000-90525) [Technical report]. National Renewable Energy Laboratory. Link to source: https://www.nrel.gov/docs/fy24osti/90525.pdf 

Mello, G., Ferreira Dias, M., & Robaina, M. (2020). Wind farms life cycle assessment review: CO2 emissions and climate change. Energy Reports, 6, 214–219. Link to source: https://doi.org/10.1016/J.EGYR.2020.11.104 

Millstein, D., O’Shaughnessy, E., & Wiser, R. (2024). Climate and air quality benefits of wind and solar generation in the United States from 2019 to 2022. Cell Reports Sustainability, 1(6), Article 100105. Link to source: https://doi.org/10.1016/J.CRSUS.2024.100105 

Nagababu, G., Srinivas, B. A., Kachhwaha, S. S., Puppala, H., & Kumar, S. V. V. A. (2023). Can offshore wind energy help to attain carbon neutrality amid climate change? A GIS-MCDM based analysis to unravel the facts using CORDEX-SA. Renewable Energy, 219, Article 119400. Link to source: https://doi.org/10.1016/J.RENENE.2023.119400 

National Oceanic and Atmospheric Administration. (n.d.). Offshore wind energy: Assessing impacts to marine life. National Oceanic and Atmospheric Administration Fisheries. Retrieved August 6, 2025, from Link to source: https://www.fisheries.noaa.gov/topic/offshore-wind-energy/assessing-impacts-to-marine-life 

Ørsted (n.d.) How does offshore wind power work? Retrieved July 8, 2025, from Link to source: https://orsted.com/en/what-we-do/renewable-energy-solutions/offshore-wind/technology

Peach, S. (2021, June 30). What’s the carbon footprint of a wind turbine? Yale Climate Connections. Link to source: https://yaleclimateconnections.org/2021/06/whats-the-carbon-footprint-of-a-wind-turbine/ 

Qiu, M., Zigler, C. M., & Selin, N. E. (2022). Impacts of wind power on air quality, premature mortality, and exposure disparities in the United States. Science Advances, 8(48), Article eabn8762. Link to source: https://www.science.org/doi/10.1126/sciadv.abn8762 

Ren, Z., Zhang, S., Liu, H., Pu, L., Wang, X., Wang, Z., Wu, M., & Chen, Z. (2025). The environmental and public health benefits of offshore wind power deployment in China. Environmental Science & Technology, 59(1), 315–327. Link to source: https://doi.org/10.1021/acs.est.4c06125 

Rubin, E. S., Azevedo, I. M. L., Jaramillo, P., & Yeh, S. (2015). A review of learning rates for electricity supply technologies. Energy Policy, 86, 198–218. Link to source: https://doi.org/10.1016/J.ENPOL.2015.06.011 

Schlömer, S., Bruckner, T., Fulton, L., Hertwich, E., McKinnon, A., Perczyk, D., Roy, J., Schaeffer, R., Sims, R., Smith, P., & Wiser, R. (2014). Annex III: Technology-specific cost and performance parameters. In O. Edenhofer, R. Pichs-Madruga, Y. Sokona, E. Farahani, S. Kadner, K. Seyboth, A. Adler, I. Baum, S. Brunner, P. Eickemeier, B. Kriemann, J. Savolainen, S. Schlömer, C. von Stechow, T. Zwickel, & J. C. Minx (Eds.), Climate change 2014: Mitigation of climate change. Contribution of working group III to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press. Link to source: https://www.ipcc.ch/site/assets/uploads/2018/02/ipcc_wg3_ar5_annex-iii.pdf 

Shawhan, D., Robson, S., & Russell, E. (2025). Offshore wind power examined: Effects, benefits, and costs of offshore wind farms along the US Atlantic and Gulf Coasts (Working Paper No. 24-17). Resources for the Future. Link to source: https://media.rff.org/documents/WP_24-17_2.25_Update.pdf 

Shields, M., Beiter, P., & Nunemaker, J. (2022). A systematic framework for projecting the future cost of offshore wind energy (NREL/TP-5000-81819) [Technical report]. National Renewable Energy Laboratory. Link to source: https://www.nrel.gov/docs/fy23osti/81819.pdf 

Stefek, J., Constant, C., Clark, C., Tinnesand, H., Christol, C., & Baranowski, R. (2022). U.S. offshore wind workforce assessment (NREL/TP-5000-81798) [Technical report]. National Renewable Energy Laboratory. Link to source: https://docs.nrel.gov/docs/fy23osti/81798.pdf 

TNO, & BLIX Consultancy. (2021). Pathways to potential cost reductions for offshore wind energy [Technical report]. Link to source: https://topsectorenergie.nl/documents/332/20210125_RAP_Pathways_to_potential_cost_reduction_offshore_wind_energy_F03.pdf 

Tumse, S., Bilgili, M., Yildirim, A., & Sahin, B. (2024). Comparative Analysis of Global Onshore and Offshore Wind Energy Characteristics and Potentials. Sustainability, 16(15), Article 6614. Link to source: https://doi.org/10.3390/SU16156614 

U.S. Energy Information Administration. (2023). Levelized costs of new generation resources in the annual energy outlook 2023. Link to source: https://www.eia.gov/outlooks/aeo/electricity_generation/pdf/AEO2023_LCOE_report.pdf 

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Wilhelmsson, D., Malm, T., & Öhman, M. C. (2006). The influence of offshore windpower on demersal fish. ICES Journal of Marine Science, 63(5), 775–784. Link to source: https://doi.org/10.1016/J.ICESJMS.2006.02.001 

Wiser, R., Rand, J., Seel, J., Beiter, P., Baker, E., Lantz, E., & Gilman, P. (2021). Expert elicitation survey predicts 37% to 49% declines in wind energy costs by 2050. Nature Energy, 6(5), 555–565. Link to source: https://doi.org/10.1038/s41560-021-00810-z 

World Bank Group. (2021). Key factors for successful development of offshore wind in emerging markets. Energy Sector Management Assistance Program, World Bank Group. Link to source: https://documents1.worldbank.org/curated/en/343861632842395836/pdf/Key-Factors-for-Successful-Development-of-Offshore-Wind-in-Emerging-Markets.pdf 

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Yuan, W., Feng, J.-C., Zhang, S., Sun, L., Cai, Y., Yang, Z., & Sheng, S. (2023). Floating wind power in deep-sea area: Life cycle assessment of environmental impacts. Advances in Applied Energy, 9, Article 100122. Link to source: https://doi.org/10.1016/J.ADAPEN.2023.100122 

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Credits

Lead Fellow

  • Michael Dioha, Ph.D.

Contributors

  • Ruthie Burrows, Ph.D.

  • Daniel Jasper

Internal Reviewers

  • James Gerber, Ph.D.

  • Megan Matthews, Ph.D.

  • Amanda Smith, Ph.D.

Effectiveness

Based on data provided by the International Energy Agency (IEA), global emissions from electricity generation accounted for an estimated 530 kg CO₂‑eq /MWh (540 kg CO₂‑eq /MWh, 20-yr basis). To convert from MWh to MW, we used the global weighted average capacity factor for offshore wind turbines of 41% (IRENA, 2024c). We estimated offshore wind turbines to reduce 1,900 t CO₂‑eq /MW (1,900 t CO₂‑eq /MW, 20-yr basis) of installed capacity annually (Table 1).

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Table 1. Effectiveness at reducing emissions.

Unit: t CO₂‑eq /MW installed capacity/yr, 100-yr basis

Estimate 1900
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To estimate the effectiveness of offshore wind turbines, we assumed that electricity generated by newly installed offshore wind displaces an equivalent MWh of the global electricity grid mix. Then, the reduction in emissions from additional offshore wind capacity was equal to emissions (per MWh) from the 2023 global electricity grid mix as per the IEA World Energy Balances (IEA, 2024a). We then used the offshore wind capacity factor to convert to annual emissions per MW of installed capacity.

During operation, offshore wind turbines do not emit GHGs, so we assumed zero emissions per MW of installed capacity. However, emissions arise during the manufacturing of components, transportation, installation, maintenance, and decommissioning (Atilgan Turkmen & Germirli Babuna, 2024; Kaldellis & Apostolou, 2017; Mello et al., 2020; Yuan et al., 2023). Life-cycle analyses estimate that lifetime GHG emissions of offshore wind turbines are approximately 25.76 g CO₂‑eq /kWh of electricity generated (Yuan et al., 2023).

In our analysis, we focused solely on emissions produced during electricity generation, so carbon payback time and embodied life-cycle emissions were not included in our estimates of effectiveness or climate impacts. 

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Cost

We estimated a mean levelized cost of electricity (LCOE) for offshore wind turbines of US$96/MWh based on three industry reports (IEA, 2024b; IRENA, 2024c; Nuclear Energy Agency & IEA, 2020). LCOE is a widely used metric that allows for cost comparison across generation technologies, incorporating installed capital costs, operation and maintenance, project lifespan, and energy output. Between 2010–2023, the global weighted average LCOE for offshore wind fell by 63%, from US$203/MWh to US$75/MWh, reflecting improvements in turbine size, supply chains, and regulatory support (IRENA, 2024c). 

Regional costs vary significantly. Denmark had the lowest LCOE in 2023 at US$48/MWh due to favorable siting conditions and grid cost exemptions. The UK and Germany achieved the largest LCOE reductions since 2010, of 73% and 67%, respectively (IRENA, 2024c). In contrast, recent U.S. estimates exceed US$120/MWh for unsubsidized projects (McCoy et al., 2024), reflecting higher labor costs, permitting challenges, and nascent supply chains. Lazard (2023) reports a broad range of US$72–140/MWh, emphasizing how siting, project size, and technology selection influence cost outcomes.

These values mask substantial variability and project-specific risk factors. LCOEs are highly sensitive to financing terms, interest rates, permitting delays, regional grid integration requirements, and the availability of local supply chains. For context, offshore wind costs are increasingly competitive with fossil fuel–based power generation, which ranges between US$70–176/MWh (IRENA, 2024c). Offshore wind gigawatt-scale potential near load centers makes it a good potential option for decarbonizing coastal grids.

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Learning Curve

Offshore wind turbines exhibit a clear learning curve, with costs declining as deployment scales and the technology matures. Learning rates for offshore wind could vary from 7.2–43%, depending on the type of costs considered, study period, technological advancements, and regional conditions. Most of the cost decline is driven by reductions in capital expenditure, particularly from larger turbines, improved manufacturing, streamlined installation, and economies of scale.

According to IRENA (2024c), the global weighted-average installed cost of offshore wind between 2010–2023 reflects a learning rate of 14.2%. Modeling by the U.S. National Renewable Energy Laboratory (NREL) estimates capital cost reductions per doubling of installed capacity at 8.8% for fixed-bottom turbines and 11.5% for floating turbines (Shields et al., 2022). European forecasts suggest that ongoing innovation and learning by doing could reduce offshore wind’s LCOE by up to 25% by 2030 relative to 2020, with learning rates of 6–12% (TNO & BLIX, 2021).

Earlier meta-analyses found offshore wind learning rates of 5–19% between 1985–2001, driven by improved turbine design and installation methods (Rubin et al., 2015). More recent assessments focused on 2010–2016 suggest capital cost learning rates of 10–12% (Beiter et al., 2021). Looking ahead, global experts project cost reductions of 37–49% by 2050 due to continued technological progress (Wiser et al., 2021).

Learning rates also vary by geography. Mature markets like Europe benefit from robust supply chains and permitting frameworks, leading to faster cost declines. On the other hand, emerging markets face higher initial costs and slower learning trajectories. We estimated a 15.8% median global learning rate for offshore wind, implying a 15.8% reduction in LCOE for each doubling of installed capacity (Table 2).

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Table 2. Learning rate: drop in cost per doubling of the installed solution base.

Unit: %

25th percentile 11.9
mean 15.8
median (50th percentile) 15.8
75th percentile 19.6
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Speed of Action

Speed of action refers to how quickly a climate solution physically affects the atmosphere after it is deployed. This is different from speed of deployment, which is the pace at which solutions are adopted.

At Project Drawdown, we define the speed of action for each climate solution as emergency brake, gradual, or delayed.

Deploy Offshore Wind Turbines is a GRADUAL climate solution. It has a steady, linear impact on the atmosphere. The cumulative effect over time builds as a straight line.

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Caveats

One limitation of our approach is the assumption that each additional MWh generated by offshore wind turbines displaces an equivalent MWh of the existing grid mix. This simplification implies that new offshore wind may, at times, displace other renewables such as onshore wind, rather than fossil-based sources. In reality, the extent of avoided emissions varies based on regional grid dynamics, marginal generation sources, and the timing and location of electricity production. This approach could be refined in the future, as emerging evidence suggests that in some cases, wind generation tends to displace a larger share of fossil-fuel output than assumed in average grid-mix methods (e.g., Millstein et al., 2024). While offshore wind avoids many of the land-use constraints associated with onshore wind, it introduces unique challenges that may limit scaling. These include high up-front capital costs, limited port infrastructure, specialized vessels, and supply-chain constraints for large components such as floating platforms and subsea cables. There is also growing competition for ocean space from fisheries, marine conservation zones, and shipping corridors (IEA, 2019).

Like all large-scale infrastructure, offshore wind systems face some risk of early retirement or component failure, which can affect their life-cycle emissions. However, because offshore wind turbines produce zero emissions during operation, any electricity they generate displaces fossil-based power and avoids associated emissions. These benefits are not reversed if a turbine is decommissioned early. Most offshore wind turbines operate for 25–30 years, with newer designs expected to exceed this lifespan (Bills, 2021; IEA, 2019). The bulk of their life-cycle emissions are front-loaded, arising from manufacturing, transportation, and installation. As a result, early retirement reduces the amount of clean electricity generated over the turbine’s lifetime, but it does not erase the emissions already avoided during its operation.

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Current Adoption

As of 2023, the global installed capacity for offshore wind energy reached approximately 73,000 MW (Table 3; IRENA, 2024b). Although we used 2023 as our baseline for current adoption, in 2024 an additional 10,000 MW of offshore wind capacity was installed, bringing the global total to over 83,000 MW (GWEC, 2025).

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Table 3. Current adoption level, 2023.

Unit: MW installed capacity

total 73,000
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China currently leads in offshore wind deployment, accounting for more than 40 GW, or over half of the global installed capacity. Adoption remains negligible in many countries with several regions – particularly in Africa, Latin America, and parts of Southeast Asia – reporting minimal or no offshore wind installations to date, despite their huge potential (GWEC, 2025). For example, the United States, despite its vast technical potential, had installed only 41 MW by 2023 (IRENA, 2024b).

The global offshore wind market has gained significant momentum in recent years. A record number of new installations occurred in 2021, with continued but slower growth in 2022 and 2023. The most active markets remain concentrated in Asia and Europe, with China, the United Kingdom, Germany, and the Netherlands leading in cumulative capacity. The European Union collectively reached 18.1 GW by 2023 (IRENA, 2024b), driven by favorable policy environments and advanced maritime infrastructure (IRENA, 2024a).

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Adoption Trend

Global offshore wind capacity has grown rapidly, expanding from less than 1 GW in 2000 to about 73 GW by 2023 (Figure 2), reflecting technological progress, supportive policies, and accelerating investment. 

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Figure 2. Global offshore wind turbine installed capacity, 2000–2023. Global offshore wind capacity expanded from less than 1 GW in 2000 to about 73 GW by 2023, reflecting rapid technological progress, supportive policies, and accelerating investment in clean energy.

International Renewable Energy Agency. (2024). Renewable capacity statistics 2024. https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2024/Mar/IRENA_RE_Capacity_Statistics_2024.pdf

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We calculated global adoption for each year 2013–2023 and took the year-to-year difference. The adoption trend of offshore wind energy from 2013–2023 reveals a rapid and accelerating growth trajectory with significant regional disparities. Globally, installed capacity expanded from 7,200 MW in 2013 to 73,000 MW in 2023, reflecting a 10-fold increase over the decade. The most dramatic acceleration occurred in 2020–2021, when global capacity jumped from 34,000 MW to 54,000 MW. Comparing year-to-year global adoption, the mean global adoption trend was adding approximately 6,000 MW of installed capacity per year (Table 4), but expansion was unevenly distributed geographically. 

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Table 4. Adoption trend, 2013–2023.

Unit: MW installed capacity/yr

25th percentile 3,000
mean 6,000
median (50th percentile) 5,000
75th percentile 7,000
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Regionally, Asia demonstrated the most remarkable growth. This growth was particularly pronounced in 2020–2021, when capacity soared from 9,400 MW to 28,000 MW, largely driven by China’s rapid deployment. Meanwhile, Europe also experienced steady growth, with installed capacity increasing from 8,000 MW in 2014 to 33,000 MW in 2023. In contrast, North America lags behind, with only 41 MW of installed capacity recorded as of 2023, indicating slow current adoption trends. The slow adoption of offshore wind technology in North America may be attributed to various factors, including regulatory and social barriers as well as high interest rates (McCoy et al., 2024). 

Looking ahead, according to forecasts from the World Forum Offshore Wind (WFO, 2024), global offshore wind capacity is anticipated to reach 414 GW by 2032. The GWEC projects more than 350 GW of new offshore wind capacity in 2025–2034, with annual additions surpassing 30 GW by 2030 and 50 GW by 2033, bringing total capacity to about 441 GW by 2034 (GWEC, 2025).

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Adoption Ceiling

The adoption ceiling for offshore wind turbines (Table 5) is determined by the technology’s global technical potential, representing the theoretical maximum deployment based on physical resource availability. Offshore wind benefits from vast oceanic areas with higher and more consistent wind speeds than onshore sites. However, its realizable potential is shaped by factors such as water depth, distance to shore, seabed conditions, regional wind patterns, and technological limitations.

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Table 5. Adoption ceiling: upper limit for adoption level.

Unit: MW installed capacity

25th percentile 58,000,000
mean 62,000,000
median (50th percentile) 62,000,000
75th percentile 67,000,000
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Estimates of offshore wind’s technical potential vary widely. A meta-analysis by de La Beaumelle et al. (2023) found values of 4.17–626 petawatt-hours (PWh)/year, with a median of 193 PWh/year. The World Bank’s Energy Sector Management Assistance Program (ESMAP) analysis (2019; n.d.) suggests over 71,000 GW of global offshore wind potential, with more than 70% located in deep waters suitable only for floating turbines. Roughly 25% of this resource lies within low- and middle-income countries, offering major opportunities for clean energy expansion.

Technical potential is typically calculated using wind speed maps, turbine power curves, and water depth data. For example, the ESMAP-IFC 2019 study identified 3.1 terawatts (TW) of potential across eight emerging markets using global wind and ocean depth data (ESMAP, 2019). These figures, however, do not reflect constraints such as economics, regulation, infrastructure, or marine uses that would compete with offshore wind (ESMAP, 2019). Challenges like ecological impact, permitting, and grid integration could significantly reduce practical deployment.

Despite these hurdles, offshore wind’s potential remains vast. For this analysis, we defined the adoption ceiling using installable capacity rather than generation output to avoid forecasting uncertainty. Based on the literature, we estimated an adoption ceiling of 62,000,000 MW. The scaling of floating wind turbines, especially in deep waters, will be critical to unlocking this resource, and will require continued innovation and policy support (Tumse et al., 2024).

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Achievable Adoption

The IEA’s World Energy Outlook (WEO) 2024 includes several key scenarios that explore different energy futures based on varying levels of policy intervention, technological development, and market dynamics. We define the adoption achievable range for offshore wind turbines based on the Stated Policies Scenario (STEPS) and Announced Pledges Scenario (APS) (IEA, 2024b).

Achievable – Low

The low achievable adoption level is based on STEPS, which captured the current trajectory for increased adoption of offshore wind energy as well as future projections based on existing and announced policies. Under this scenario, offshore wind capacity is projected to increase more than 13-fold from 73,000 MW to 1,000,000 MW by 2050 (Table 6). This corresponds to an average compound annual growth rate (CAGR) of 10.2%.

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Table 6. Range of achievable adoption levels.

Unit: MW installed capacity

Current Adoption 73,000
Achievable – Low 1,000,000
Achievable – High 1,600,000
Adoption Ceiling 62,000,000
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Achievable – High

The high achievable adoption level is based on APS, which assumes the same policy framework as STEPS, plus full realization of announced national energy and climate targets – including net-zero commitments supported by stronger clean energy investments. Under this scenario, offshore wind capacity is projected to increase by a magnitude of approximately 22, from 73,000 MW to 1,600,000 MW by 2050 (Table 6). This would require a CAGR of roughly 12.1% over the same period.

Using our adoption ceiling of 62 million MW, the current adoption of offshore wind turbines constitutes approximately 0.1% of its technical potential. The achievable adoption range, as calculated, is 1.6–2.6% of this potential.

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Using baseline global adoption and effectiveness, we estimated the current total climate impact of offshore wind turbines to be approximately 0.14 Gt CO₂‑eq (0.14 Gt CO₂‑eq , 20-yr basis) of reduced emissions per year (Table 7). We estimated future climate impacts using the emissions from the 2023 baseline electricity grid. Actual emissions reductions could differ depending on how the emissions intensity of electricity generation changes over time. Assuming global policies on offshore wind power – both existing and announced – are backed with adequate implementation provisions, global adoption could reach 1 million MW by 2050. This would result in an increased emissions reduction of approximately 1.9 Gt CO₂‑eq per year. If every nation’s energy and climate targets (including net-zero commitments backed by stronger clean energy investments) are realized, offshore wind adoption could reach 1.6 million MW by 2050. This would lead to an estimated 3.0 Gt CO₂‑eq of reduced emissions per year. 

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Table 7. Annual climate impact at different levels of adoption.

Unit: Gt CO₂‑eq , 100-yr basis

Current Adoption 0.14
Achievable – Low 1.9
Achievable – High 3.0
Adoption Ceiling 120
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We based the adoption ceiling solely on the technical potential of offshore wind resources, neglecting social and economic constraints. Thus, offshore wind turbines are unlikely to reach an average of 62 million MW of installed capacity in the next 100 years. However, reaching the adoption ceiling would correspond to annual emissions reductions of 120 Gt CO₂‑eq/yr.

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Additional Benefits

Income and Work

Wind power has a strong positive impact on the economy. Wind energy projects have been shown to increase total income and employment in high-income and low- and middle-income countries, although the costs of new projects may be higher in emerging markets until the market develops (Adeyeye et al., 2020; GWEC & Global Wind Organization, 2021; World Bank Group, 2021). As the offshore wind sector expands, so will the demand for workers. A report from NREL estimated that U.S. offshore wind projects between 2024–2030 will require an annual average of 15,000–58,000 full-time workers (Stefek et al., 2022). In California, planned and proposed offshore wind farms would add about 5,750 jobs and US$15 billion in wages and further contribute to the local economy by generating tax revenue (E2, 2023). Offshore wind could also strengthen energy security by diversifying the power mix and reducing dependence on imported fuels.

Health

Reduction in air pollution directly translates into health benefits and avoided premature mortality. Simulations of offshore wind projects in China estimate that reductions in air pollution could prevent about 165,000 premature deaths each year (Ren et al., 2025). Proposed offshore wind farms on the Atlantic and Gulf coasts of the United States could prevent about 2,100 premature deaths annually and save money in health benefits from improved air quality (Buonocore et al., 2016; Shawhan et al., 2024). Because these offshore wind projects would lessen demand for natural gas and coal-powered electricity generation, populated communities downwind from power plants along the East Coast of the United States – such as New York City – would experience health benefits from improved air quality (Shawhan et al., 2024). Although the economic benefits of improved health associated with wind power have already increased rapidly from US$2 billion in 2014 to US$16 billion in 2022, these benefits could be maximized by replacing fossil fuel power plants in regions with higher health damages (Qiu et al., 2022). 

Nature Protection

While there are some risks through increased ship traffic and noise and light pollution, offshore wind may provide some benefits to fish and marine life (National Oceanic and Atmospheric Administration, n.d.; Galparsoro et al., 2022; World Economic Forum, 2025). Once constructed, offshore wind farms can serve as an artificial reef, providing new habitats in the submerged portion of the turbine (Degraer et al., 2020). When these habitats are colonized by marine organisms, this increases availability of food such as zooplankton and algae, which can increase the abundance of small fish nearby (Wilhelmsson et al., 2006).

Air Quality

Offshore wind energy reduces air pollutants released from fossil fuels, thereby reducing the emissions associated with burning coal and natural gas. A recent analysis of 32 planned or proposed offshore wind farms along the U.S. Atlantic and Gulf coasts estimated these projects could reduce emissions of nitrogen oxides by 4%, sulfur dioxide by 5%, and PM 2.5 by 6% (Shawhan et al., 2024). Modeling analyses of offshore wind in China estimate these projects could reduce about 3% of air pollution from electricity by lowering emissions from coal-powered electricity generation (Ren et al., 2025).

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Risks

Implementing offshore wind energy involves several risks. Technically, offshore projects face harsh marine environments that can affect long-term reliability and increase maintenance costs (IRENA, 2024a). These risks can be reduced through advanced materials, corrosion‑resistant designs, predictive maintenance systems, and improved installation practices that extend turbine lifespans and reduce downtime. High capital costs and regulatory uncertainty remain among the most significant barriers, especially in emerging markets where financing, insurance, and investor confidence are limited (ESMAP, 2019). Addressing these challenges often requires stable policy frameworks, innovative financing mechanisms such as Contracts for Difference (CFDs) and blended finance, and public‑private partnerships to de‑risk investments and attract private capital. 

There are also ecological risks associated with offshore wind farms, which can disrupt marine habitats, impact migratory birds and marine mammals, and cause seabed disturbances during installation (Galparsoro et al., 2022). Mitigation strategies such as adaptive siting, seasonal construction limits, and biodiversity offsets are increasingly used to minimize these impacts. Social resistance can arise from local communities due to factors such as visual impact, place attachment, perceived lack of benefits, and competing uses of marine space, such as fisheries and shipping lanes (Gonyo et al., 2021; Haggett, 2011).

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Interactions with Other Solutions

Reinforcing

Increased availability of renewable energy from offshore wind turbines helps reduce emissions from the electricity grid as a whole. Reduced emissions from the electricity grid lead to lower downstream emissions for these solutions that rely on electricity use. Deploying offshore wind turbines also supports increased integration of solar photovoltaic technology by diversifying the renewable energy mix and reducing overreliance on solar variability.

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Electrification of transportation systems will be more beneficial in reducing global emissions if the underlying grid includes a higher proportion of non-emitting power sources. Electric transportation systems can also reduce curtailment of wind energy through controlled-time charging and other load-shifting technologies.

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Competing

Offshore wind could compete for policy attention and funding with onshore wind turbines, potentially slowing deployment in regions where onshore resources are also viable. Also, increased development and installation of offshore wind turbines could potentially compete with the deployment of those onshore, due to competition for raw materials.

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Dashboard

Solution Basics

MW installed capacity

t CO₂-eq (100-yr)/unit/yr
1,900
units
Current 73,000 01×10⁶1.6×10⁶
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.14 1.93.04
Gradual

CO₂ , CH₄, N₂O, BC

Trade-offs

Offshore wind turbines do not emit GHGs during operation, but they are associated with embodied emissions from manufacturing, transport, and installation (Yuan et al., 2023). The Intergovernmental Panel on Climate Change (IPCC) life-cycle assessment estimates indicate that offshore wind energy produces about 8–35 g CO₂‑eq /kWh, compared to about 400–1,000 g CO₂ --eq/kWh for fossil-based electricity generators (Schlömer et al., 2014).

Increasing steel and concrete demand for turbine construction may cause indirect emissions in the industrial sector. These trade‑offs can be mitigated through circular economy approaches such as recycling and repurposing turbine components to cut material demand and emissions. Despite these trade-offs, the emissions saved over a turbine’s 25- to 30-year lifetime greatly exceed the upfront emissions.

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Fixed
Floating

Technical potential for offshore wind

Highlighted areas are suitable for offshore wind development for fixed turbines (those fixed to the seafloor, typically in waters less than 50 meters deep) and floating turbines (those anchored on platforms in waters less than 1,000 meters deep).

Energy Sector Management Assistant Program & The World Bank Group (2021). Global offshore wind technical potential (version 3) [Data set]. The World Bank Group. Link to source: https://datacatalog.worldbank.org/search/dataset/0037787 

Fixed
Floating

Technical potential for offshore wind

Highlighted areas are suitable for offshore wind development for fixed turbines (those fixed to the seafloor, typically in waters less than 50 meters deep) and floating turbines (those anchored on platforms in waters less than 1,000 meters deep).

Energy Sector Management Assistant Program & The World Bank Group (2021). Global offshore wind technical potential (version 3) [Data set]. The World Bank Group. Link to source: https://datacatalog.worldbank.org/search/dataset/0037787 

Maps Introduction

Offshore wind energy is most promising in coastal regions with high wind resources and the physical and regulatory capacity to support utility-scale deployment. It is particularly valuable for countries with limited land availability or high coastal population density, offering a scalable and increasingly cost-effective pathway toward decarbonization. Offshore wind’s effectiveness is underpinned by its strong technical fundamentals, especially its relatively high capacity factor.

We estimated global offshore wind technical potential at around 62,000,000 MW. Notably, more than 70% of the technical potential lies in waters deeper than 50 meters. As of 2023, global installed offshore wind capacity had reached 73 GW, a nearly 20-fold increase since 2010. Europe and Asia account for nearly equal shares of current capacity. Europe remains a global leader with around 30 GW, led by the United Kingdom, Germany, Denmark, and Netherlands. 

In Asia, China dominates the offshore wind space, with more than 30 GW installed and annual additions of nearly 17 GW in 2021 alone. Japan has set targets of 10 GW by 2030 and 30–45 GW by 2040, while South Korea aims for 14.3 GW by 2030 (IRENA, 2024a). The United States has vast offshore wind potential, with NREL estimating 1,476 GW for fixed‑bottom and 2,773 GW for floating installations (Lopez et al., 2022). The United States is beginning to scale up offshore wind through policy support from the Inflation Reduction Act, and large-scale projects are now under development along the East Coast. As of May 31, 2024, the country had 174 MW of offshore wind capacity installed (McCoy et al., 2024). While this installed capacity remains modest compared to Europe or China, it represents an initial step in building the domestic industry. Importantly, the U.S. offshore wind project development and operational pipeline exceeds 80,000 MW, highlighting the scale of development expected in the coming decade. Canada, with 9.3 TW of technical potential (7.2 TW of which is suitable for floating wind), has begun leasing processes in Nova Scotia targeting 5 GW by 2030 and integrating offshore wind into its green hydrogen strategy, while Australia’s Victoria state aims for 9 GW by 2040 (IRENA, 2024a).

Several emerging markets represent strong opportunities for future deployment. Brazil has more than 1,200 GW of estimated technical potential and is currently developing a national framework for offshore wind licensing. India plans to reach 37 GW by 2030, with auctions for 7.2 GW already scheduled (IRENA, 2024a). Other countries such as Vietnam and South Africa are beginning to position themselves as offshore wind markets (IRENA, 2024a).

Action Word
Deploy
Solution Title
Offshore Wind Turbines
Classification
Highly Recommended
Lawmakers and Policymakers
  • Integrate perspectives from key stakeholders into the decision-making process, including fisherfolk, coastal communities, port authorities, and other groups impacted by offshore wind development.
  • Simplify and standardize offshore environmental licensing and marine spatial planning to accelerate project approvals while preserving biodiversity safeguards.
  • Offer subsidies, grants, low-interest loans, preferential tax policies, and other incentives for developing and operating offshore wind farms and specialized port infrastructures.
  • Develop regulations, standards, and codes to ensure quality equipment production and operation – ideally, before development and adoption to prevent accidents.
  • Prioritize expansion of high-voltage subsea and coastal transmission infrastructure.
  • Offer equipment testing and certification systems, market information disclosures, and assistance with onsite supervision.
  • Set quotas for power companies and offer expedited permitting processes for renewable energy production, including offshore wind.
  • Set adjustments for wind power on-grid pricing through mechanisms such as feed-in tariffs, renewable energy auctions, or other guaranteed pricing methods for wind energy.
  • Provide financing for research and development to improve the performance of wind turbines, wind forecasting, and other related technology.
  • Mandate onsite wind power forecasting and set standards for data integrity.
  • Create training programs for engineers, operators, and other personnel.
  • Coordinate voluntary agreements with industry to increase offshore wind capacity and power generation.
  • Initiate public awareness campaigns focusing on wind turbine functionality, benefits, and any public concerns.
  • Implement carbon taxes and use funds to de-risk offshore investments.

Further information:

Practitioners
  • Work with external organizations to enter new markets and identify challenges early in development.
  • Plan integrated offshore logistics to anticipate specialized vessel needs and port upgrades.
  • Engage in marine spatial planning and cross-sector stakeholder dialogues to remove conflicts.
  • Investigate community-led or cooperative offshore business models to improve local acceptance.
  • Partner with academic institutions, technical institutions, vocational programs, and other external organizations to provide workforce development programs.
  • Focus research and development efforts on increasing the productivity and efficiency of turbines, improving offshore design, and supporting technology such as wind forecasting.
  • Utilize and integrate materials and designs that enhance recyclability and foster circular supply chains.
  • Participate in voluntary agreements with government bodies to increase policy support for onshore wind capacity and power generation.
  • Support and participate in public awareness campaigns focusing on wind turbine functionality, benefits, and any public concerns.
  • Stay abreast of changing policies, regulations, zoning laws, tax incentives, and other related developments.

Further information:

Business Leaders
  • Enter into Purchase Power Agreements (PPAs).
  • Purchase high-integrity Renewable Energy Certificates (RECs).
  • Invest in companies that provide offshore wind energy, transmission assets, shared port facilities, component manufacturers, or related technology, such as forecasting.
  • Initiate or join voluntary agreements with national or international bodies and support industry collaboration.
  • Develop workforce partnerships, offer employee scholarships, or sponsor training for careers in offshore wind or related professions such as marine engineering.
  • Support long-term, stable contracts (e.g., power purchase agreements or CFDs) that de-risk investment in floating offshore wind foundation technologies, encouraging their development and deployment.
  • Support community engagement initiatives in areas where you do business to educate and highlight the local economic benefits of offshore wind.

Further information:

Nonprofit Leaders
  • Advocate for favorable policies and incentives for offshore wind energy development, such as financing, preferential tax policies, guaranteed pricing methods, quotas, community engagement, and comanagement models.
  • Advocate for fair and transparent benefit-sharing with coastal communities affected by offshore wind.
  • Help conduct proactive land use planning to avoid infrastructure or development projects that might interfere with protected areas, biodiversity, cultural heritage, or traditional marine uses.
  • Propose or help develop regulations, standards, and codes to ensure quality equipment production and operation.
  • Conduct open-access research to improve the performance of wind turbines, wind forecasting, and other related technology.
  • Operate or assist with equipment testing and certification systems, market information disclosures, and onsite supervision.
  • Create or assist with training programs for engineers, operators, and other personnel.
  • Coordinate voluntary agreements between governments and industry to increase offshore wind capacity and power generation.
  • Initiate public awareness campaigns focusing on wind turbine functionality, benefits, and any public concerns. 

Further information:

Investors
  • Invest in the development of offshore wind farms.
  • Invest in exchange-traded funds (ETFs) and environmental, social, and governance (ESG) funds that hold offshore wind companies in their portfolios.
  • Consider offering flexible and low-interest loans for developing and operating offshore wind farms.
  • Invest in supporting infrastructure such as utility companies, grid development, and access roads.
  • Invest in component technology and related science, such as wind forecasting.
  • Help develop insurance products tailored to marine risks and early-stage offshore projects.
  • Invest in green bonds for companies developing offshore wind energy or supporting infrastructure.
  • Align investments with existing public-private partnerships, voluntary agreements, or voluntary guidance that might apply in the location of the investment (including those that apply to biodiversity).

Further information:

Philanthropists and International Aid Agencies
  • Provide catalytic financing for or help develop offshore wind farms.
  • Award grants to improve supporting infrastructure such as utility companies, grid development, and access roads.
  • Support the development of component technology and related science, such as wind forecasting.
  • Fund updates to high-resolution marine wind atlases and oceanographic data systems.
  • Foster cooperation between low- and middle-income countries for floating wind and deepwater innovation in emerging economies.
  • Advocate for favorable policies and incentives for offshore wind energy development, such as financing, preferential tax policies, guaranteed pricing methods, and quotas.
  • Propose, build capacity for, or help develop regulations, standards, and codes for marine permitting, offshore market design, equipment production, and operation.
  • Initiate public awareness campaigns focusing on wind turbine functionality, benefits, and any public concerns.
  • Facilitate partnerships to share wind turbine technology and best practices between established and emerging markets, promoting energy equity and access.

Further information:

Thought Leaders
  • Advocate for favorable policies and incentives for offshore wind energy development, such as financing, preferential tax policies, guaranteed pricing methods, and quotas.
  • Propose or help develop regulations, standards, and codes to ensure quality equipment production and operation.
  • Conduct research to improve the performance of wind turbines, wind forecasting, and other related technology.
  • Initiate public awareness campaigns focusing on how wind turbines function, benefits, and why they are necessary, addressing any public concerns.
  • Advocate for community engagement, respect for Indigenous rights, and preservation of cultural heritage and traditional ways of life to be included in wind power expansion efforts.

Further information:

Technologists and Researchers
  • Improve the productivity and efficiency of wind turbines.
  • Improve battery capacity for electricity storage.
  • Develop more accurate, timely, and cost-effective means of offshore wind forecasting.
  • Engineer new or improved means of manufacturing towers and components – ideally with locally sourced materials.
  • Enhance design features such as wake steering, bladeless wind power, and quiet wind turbines.
  • Optimize power output, efficiency, and deployment for vertical-axis turbines.
  • Refine methods for retaining power for low-speed winds.
  • Research and develop optimal ways offshore wind can provide habitats for marine species and reduce negative impacts on biodiversity; research total impact of offshore wind on local ecosystems.
  • Develop strategies to minimize the impact of the noise of offshore wind turbines, both under and above water.
  • Develop more accurate forecasting models for the performance of fixed-base and floating offshore wind turbines.
  • Improve the aero-servo-elasticity of floating offshore wind turbines to accommodate more advanced components.
  • Improve existing – or develop new – materials and designs that can withstand marine environments.
  • Help develop designs and operational protocols to facilitate installation, minimize maintenance, improve safety, and reduce overall costs.
  • Develop materials and designs that facilitate recycling and circulate supply chains.
  • Innovate grid connections and transmission infrastructure for offshore and deep-sea wind farms.
  • Improve smart grid connections to manage integrating offshore wind farms.

Further information:

Communities, Households, and Individuals
  • Purchase high-integrity RECs, which track ownership of renewable energy generation.
  • If your utility company offers transparent green pricing, which charges a premium to cover the extra cost of renewable energy, opt into it if possible.
  • Conduct research on the benefits and development of wind energy and share the information with your friends, family, and networks.
  • Stay informed about wind development projects that impact your community and support them when possible.
  • Support the development of community wind co-ops or shared ownership structures that allow local communities to directly benefit from offshore wind projects.
  • Participate in public consultations, licensing hearings, and awareness campaigns focused on offshore wind projects.
  • Advocate for favorable policies and incentives for offshore wind energy development, such as financing, preferential tax policies, guaranteed pricing methods, and quotas.

Further information:

Sources
Evidence Base

Consensus of effectiveness in reducing GHG emissions: High

The scientific literature on offshore wind turbines reflects high consensus regarding their potential to significantly contribute to reducing GHG emissions and supporting the transition to sustainable energy. Technological advancements, decreasing costs, and increasing efficiency have positioned offshore wind as a key player in achieving global climate targets (Jansen et al., 2020; Letcher, 2023). 

Offshore wind turbines reduce GHG emissions by displacing fossil fuel-based electricity generation, thus avoiding the release of CO₂ and other climate pollutants (Akhtar et al., 2024; Nagababu et al., 2023; Shawhan et al., 2025). The strong and consistent wind speeds found over ocean surfaces make offshore turbines especially efficient, with relatively high-capacity factors and increasingly competitive costs (Akhtar et al., 2021; Bosch et al., 2018; Zhou et al., 2022).

The technical potential of offshore wind refers to the maximum electricity generation achievable using available wind resources, constrained only by physical and technological factors. Scientific reviews highlight the significant technical potential of offshore wind to meet global electricity demand many times over, particularly through expansion in deep waters using floating technologies (de La Beaumelle et al., 2023). The World Bank estimates the global technical potential for fixed and floating offshore wind at approximately 71,000 GW globally using current technology (ESMAP, n.d.). With just 83 GW installed so far (GWEC, 2025), this indicates that offshore wind’s potential remains largely untapped. 

The IPCC also sees offshore wind as a key low-emissions technology for achieving net-zero pathways and can be integrated into energy systems at scale with manageable economic and technical challenges (IPCC, 2023). While there is broad scientific agreement on the potential of offshore wind turbines to significantly reduce GHG emissions, there are also growing concerns, including uncertainties around floating platform scalability, ecological impacts, supply chain readiness, and long-term operations. Most of these issues are captured in the Risks & Trade-Offs section of this document.

The results presented in this document summarize findings from 17 peer reviewed academic papers (including 6 reviews and 11 research articles), 2 books and 11 agency or institutional reports, reflecting current evidence from representative regions around the world. We recognize this limited geographic scope creates bias, and hope this work inspires research and data sharing on this topic in underrepresented regions.

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Updated Date

Deploy Onshore Wind Turbines

Submitted by Drawdown Admin on
Sector
Electricity
Mode
Cut Emissions
Cluster
Shift Production
Image
Onshore wind turbines
Coming Soon
On
Description for Social and Search
The Deploy Onshore Wind Turbines solution is coming soon.
m/s
0≥ 10

Mean Wind Speed at 100 meters above surface

This map shows average wind speeds at 100 meters above the surface, roughly the height of modern turbine towers. Wind speeds above 6 meters per second (m/s) are generally suitable for onshore wind farms, while 9–10 m/s and higher are considered excellent for power generation. The color scale highlights differences: lighter areas show weaker winds, while darker areas indicate strong winds that make onshore projects most efficient.

Global Wind Atlas (2025). Mean wind speed (version 4.0) [Data set]. Technical University of Denmark (DTU). Link to source: https://globalwindatlas.info/

m/s
0≥ 10

Mean Wind Speed at 100 meters above surface

This map shows average wind speeds at 100 meters above the surface, roughly the height of modern turbine towers. Wind speeds above 6 meters per second (m/s) are generally suitable for onshore wind farms, while 9–10 m/s and higher are considered excellent for power generation. The color scale highlights differences: lighter areas show weaker winds, while darker areas indicate strong winds that make onshore projects most efficient.

Global Wind Atlas (2025). Mean wind speed (version 4.0) [Data set]. Technical University of Denmark (DTU). Link to source: https://globalwindatlas.info/

Maps Introduction

China, the United States, and Germany lead the market for installed onshore wind capacity, with 60% of global capacity in the United States and China. Installed capacity in China alone was greater than installed capacity across the rest of the world, excluding the United States (IRENA, 2024b). 

Capacity factors vary geographically. In 2023, Brazil had the sixth-highest installed capacity globally (29,000 MW) and reported the highest capacity factors, 54%, while capacity factors in China were only 34%, below the global median capacity factor of 37% (IRENA, 2024). Higher capacity factors lead to better performance and increased electricity output from clean energy sources.

Regions with fossil fuel–dominated grid mixes use onshore wind turbines to diversify electricity sources and cut emissions from electricity generation. Although China led the onshore wind market in 2023, wind energy from both offshore and onshore turbines only accounted for 6% of electricity generation in Asia and the Pacific, while 56% came from coal (IEA, 2022). Germany and Spain had the highest installed capacity in Europe as of 2023 with combined onshore and offshore energy contributing 14% of total electricity generation, the highest percentage of any regional grid (IEA, 2022b). 

While expanding onshore wind in established markets such as Europe is important, targeting regions with little to no electricity generation from renewables could have a larger impact on emissions reductions by providing a clean energy alternative to fossil fuels. It is also critical to ensure that as wind power expands into low- and middle-income countries, the transition to a more renewable electricity grid is done equitably and benefits local communities (Gorayeb et al., 2018).

In 2023, China, the United States, Brazil, Germany, and India cumulatively made up 82% of new global additions to onshore wind capacity (Global Wind Energy Council, 2024). Across all countries with new onshore wind installations in 2023, the median global trend was adding 39 MW of installed capacity per year, but expansion was unevenly distributed around the world. China and India were examples of rapidly expanding markets, with adoption trends of more than 32,000 MW per year and 2,600 MW per year, respectively. Despite a reduction in installations in 2023 compared with 2022, previous installations in the United States contributed to a high 10-year adoption trend of 8,800 MW per year (IRENA 2024). The slowest expanding countries, Denmark and the Netherlands, were adding 130–430 MW of onshore wind turbine capacity per year, most likely due to highly saturated existing markets for wind power. 

There is ample technical potential for onshore wind adoption in Latin America, Africa, the Middle East, and the Pacific, although current installed capacity is relatively low in those regions (IRENA, 2024b; Wiser et al., 2011). The Global Wind Energy Council highlighted Australia, Azerbaijan, Brazil, China, Egypt, India, Japan, Kenya, the Philippines, Saudi Arabia, South Korea, the United States, and Vietnam as markets to watch for growth (GWEC 2024).

Action Word
Deploy
Solution Title
Onshore Wind Turbines
Classification
Highly Recommended
Updated Date

Deploy LED Lighting

Submitted by Drawdown Admin on
Sector
Electricity
Mode
Cut Emissions
Cluster
Enhance Efficiency
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Office building exterior showing many floors of indoor lit offices
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Summary

We define the Deploy LED Lighting solution as replacing energy-inefficient light sources with light-emitting diodes (LEDs). Lighting accounts for 15–20% of electricity use in buildings. Using LEDs reduces the electricity that building lighting consumes, and thereby cuts GHG emissions from global electricity generation.

Income & work,Health
Water quality,Air quality
Description for Social and Search
Using LEDs reduces the electricity that building lighting consumes, and thereby cuts GHG emissions from global electricity generation.
Overview

LED technology for lighting indoor and outdoor spaces is more energy-efficient than other lighting sources currently on the market (Zissis et al., 2021). This is because LEDs are solid-state semiconductors that emit light generated through a direct conversion of the flow of electricity (electroluminescence) rather than heating a tungsten filament to make it glow. More of the electrical energy goes to producing light in an LED lamp than in less-efficient alternative lighting technologies such as incandescent light bulbs or compact fluorescent lamps (CFLs) (Koretsky, 2021; Nair & Dhoble, 2021a). This difference offers significant energy-efficiency gains (see Figure 1).

Globally, lighting-related electricity consumption can account for as much as 20% of the total annual electricity used in buildings (Gayral, 2017; Pompei et al., 2020; Pompei et al., 2022). In 2022, the IEA estimated that total electricity consumption for lighting buildings globally was 1,736 TWh (Lane, 2023). Schleich et al. (2014) and others have argued that buildings consume more electricity for lighting due to a rebound effect when occupants perceive a lighting source as efficient. However, the growing adoption of LED lighting over the years has significantly optimized electricity consumption from building lighting, especially in residential buildings (Lane, 2023).

According to the Intergovernmental Panel on Climate Change (IPCC, 2006), generating electricity from fossil fuels emits CO₂,  methane, and nitrous oxide. Replacing inefficient lamps with LEDs cuts these emissions by reducing electricity demand. LEDs often have a power rating of 4–10 W, which is 3–10 times lower than alternatives. LEDs also last significantly longer: With a lifespan that can exceed 25,000 hours, they vastly outperform incandescent bulbs (1,000 hours) and CFLs (10,000 hours), as shown in Figure 1. LED’s longevity leads to potential long-term savings due to fewer replacements. The amount of light produced per energy input (luminous efficacy) is up to 10 times greater than alternative lighting sources. This means substantially more lighting for less energy.

Figure 1. A comparison of light sources for building lighting (data from Lane, 2023; Mathias et al., 2023; Nair & Dhoble, 2021b; Xu, 2019).

Light source type Power rating (watts) Luminous efficacy (lumens/watt) Lifespan (hours)
Incandescent 40–100 10–15 1,000
CFL 12–20 60–63 10,000
LED 4–10 110–150 25,000–100,000

The International Energy Agency (IEA) and other international bodies report LED market penetration in terms of percentages of the global lighting market (Lane, 2023). We chose this approach to track the impact of adopting LEDs.

Take Action Intro

Would you like to help deploy LED lighting? Below are some ways you can make a difference, depending on the roles you play in your professional or personal life.

These actions are meant to be starting points for involvement and may or may not be the most important, impactful, or doable actions you can take. We encourage you to explore, get creative, and take a step that is right for you!

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Amann, J. T., Fadie, B., Mauer, J., Swaroop, K., & Tolentino, C. (2022). Farewell to fluorescent lighting: How a phaseout can cut mercury pollution, protect the climate, and save money. https://www.aceee.org/research-report/b2202

Behar-Cohen, F., Martinsons, C., Viénot, F., Zissis, G., Barlier-Salsi, A., Cesarini, J. P.,Enouf, O., Garcia, M., Picaud, S., & Attia, D.. (2011). Light-emitting diodes (LED) for domestic lighting: Any risks for the eye? Progress in Retinal and Eye Research, 30(4), 239–257. Link to source: https://doi.org/10.1016/j.preteyeres.2011.04.002

Booysen, M. J., Samuels, J. A., & Grobbelaar, S. S. (2021). LED there be light: The impact of replacing lights at schools in South Africa. Energy and Buildings, 235, 110736. Link to source: https://doi.org/10.1016/j.enbuild.2021.110736

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Environmental Protection Agency (EPA). (2024). Power sector programs - progress report. https://www.epa.gov/power-sector/progress-report

Forastiere, S., Piselli, C., Silei, A., Sciurpi, F., Pisello, A. L., Cotana, F., & Balocco, C. (2024). Energy efficiency and sustainability in food retail buildings: Introducing a novel assessment framework. Energies, 17(19), 4882. https://www.mdpi.com/1996-1073/17/19/4882

Fu, X., Feng, D., Jiang, X., & Wu, T. (2023). The effect of correlated color temperature and illumination level of LED lighting on visual comfort during sustained attention activities. Sustainability, 15(4), 3826. https://www.mdpi.com/2071-1050/15/4/3826

Gao, W., Sun, Z., Wu, Y., Song, J., Tao, T., Chen, F., Zhang, Y., & Cao, H.(2022). Criticality assessment of metal resources for light-emitting diode (LED) production – a case study in China. Cleaner Engineering and Technology, 6, 100380. Link to source: https://doi.org/10.1016/j.clet.2021.100380

Gasparotto, J., & Da Boit Martinello, K. (2021). Coal as an energy source and its impacts on human health. Energy Geoscience, 2(2), 113–120. Link to source: https://doi.org/10.1016/j.engeos.2020.07.003

Gayral, B. (2017). LEDs for lighting: Basic physics and prospects for energy savings. Comptes Rendus Physique, 18(7), 453–461. Link to source: https://doi.org/10.1016/j.crhy.2017.09.001

Hasan, M. M., Moznuzzaman, M., Shaha, A., & Khan, I. (2025). Enhancing energy efficiency in Bangladesh's readymade garment sector: The untapped potential of LED lighting retrofits. International Journal of Energy Sector Management, 19(3), 569–588. Link to source: https://doi.org/10.1108/ijesm-05-2024-0009

Henneman, L., Choirat, C., Dedoussi, I., Dominici, F., Roberts, J., & Zigler, C. (2023). Mortality risk from United States coal electricity generation. 382(6673), 941–946. https://doi.org/doi:10.1126/science.adf4915

Intergovernmental Panel on Climate Change (IPCC). (2006). 2006 IPCC guidelines for national greenhouse gas inventories volume 2: Energy; Chapter 2: Stationary combustion. https://www.ipcc-nggip.iges.or.jp/public/2006gl/pdf/2_Volume2/V2_2_Ch2_Stationary_Combustion.pdf

International Energy Agency (IEA). (2022). Targeting 100% LED lighting sales by 2025. https://www.iea.org/reports/targeting-100-led-lighting-sales-by-2025

International Energy Agency (IEA). (2023). Global floor area and buildings energy intensity in the net zero scenario, 2010-2030. Retrieved 06 March 2025 from https://www.iea.org/data-and-statistics/charts/global-floor-area-and-buildings-energy-intensity-in-the-net-zero-scenario-2010-2030

International Energy Agency (IEA). (2024). World energy balances. IEA. https://www.iea.org/data-and-statistics/data-product/world-energy-balances

Iskra-Golec, I., Wazna, A., & Smith, L. (2012). Effects of blue-enriched light on the daily course of mood, sleepiness and light perception: A field experiment. 44(4), 506-513. https://doi.org/10.1177/1477153512447528

Kamat, A. S., Khosla, R., & Narayanamurti, V. (2020). Illuminating homes with LEDs in India: Rapid market creation towards low-carbon technology transition in a developing country. Energy Research & Social Science, 66, 101488. Link to source: https://doi.org/10.1016/j.erss.2020.101488

Khan, N., & Abas, N. (2011). Comparative study of energy saving light sources. Renewable and Sustainable Energy Reviews, 15(1), 296–309. Link to source: https://doi.org/10.1016/j.rser.2010.07.072

Koretsky, Z. (2021). Phasing out an embedded technology: Insights from banning the incandescent light bulb in europe. Energy Research & Social Science, 82, 102310. Link to source: https://doi.org/10.1016/j.erss.2021.102310

Lane, K. (2023, 11 July 2023). Lighting. International Energy Agency (IEA). Retrieved 13 December 2024 from https://www.iea.org/energy-system/buildings/lighting

Lee, K., Donnelly, S., & Phillips, G. (2024). 2020 U.S. Lighting market characterization. https://www.osti.gov/biblio/2371534

Lee, K., Nubbe, V., Rego, B., Hansen, M., & Pattison, M. (2021). 2020 LED manufacturing supply chain. U. S. DOE. https://www.energy.gov/sites/default/files/2021-05/ssl-2020-led-mfg-supply-chain-mar21.pdf

Mathias, J. A., Juenger, K. M., & Horton, J. J. (2023). Advances in the energy efficiency of residential appliances in the US: A review. Energy Efficiency, 16(5), 34. https://doi.org/10.1007/s12053-023-10114-8

Miah, M. A. R., & Kabir, R. (2023). Energy savings forecast for solid-state lighting in residential and commercial buildings in Bangladesh. IEEE PES 15th Asia-Pacific Power and Energy Engineering Conference (APPEEC), pp. 1-6, Link to source: https://doi.org/10.1109/APPEEC57400.2023.10561921

Moadab, N. H., Olsson, T., Fischl, G., & Aries, M. (2021). Smart versus conventional lighting in apartments - electric lighting energy consumption simulation for three different households. Energy and Buildings, 244, 111009. Link to source: https://doi.org/10.1016/j.enbuild.2021.111009

Moyano, D. B., Moyano, S. B., López, M. G., Aznal, A. S., & Lezcano, R. A. G. (2020). Nominal risk analysis of the blue light from LED luminaires in indoor lighting design. Optik, 223, 165599. Link to source: https://doi.org/10.1016/j.ijleo.2020.165599

Nair, G. B., & Dhoble, S. J. (2021a). 2 - fundamentals of LEDs. In G. B. Nair & S. J. Dhoble (Eds.), The fundamentals and applications of light-emitting diodes (pp. 35–57). Woodhead Publishing. Link to source: https://doi.org/10.1016/B978-0-12-819605-2.00002-1

Nair, G. B., & Dhoble, S. J. (2021b). 6 - general lighting. In G. B. Nair & S. J. Dhoble (Eds.), The fundamentals and applications of light-emitting diodes (pp. 155–176). Woodhead Publishing. Link to source: https://doi.org/10.1016/B978-0-12-819605-2.00006-9

Pattison, M., Hansen, M., Bardsley, N., Elliott, C., Lee, K., Pattison, L., & Tsao, J. (2020). 2019 lighting R&D opportunities. https://www.osti.gov/biblio/1618035

Periyannan, E., Ramachandra, T., & Geekiyanage, D. (2023). Assessment of costs and benefits of green retrofit technologies: Case study of hotel buildings in Sri Lanka. Journal of Building Engineering, 78, 107631. Link to source: https://doi.org/10.1016/j.jobe.2023.107631

Placek, M. (2023). LED lighting in the United States - statistics & facts. Statista. Retrieved 09 February 2025 from https://www.statista.com/topics/1144/led-lighting-in-the-us/#topicOverview

Pompei, L., Blaso, L., Fumagalli, S., & Bisegna, F. (2022). The impact of key parameters on the energy requirements for artificial lighting in Italian buildings based on standard en 15193-1:2017. Energy and Buildings, 263, 112025. Link to source: https://doi.org/10.1016/j.enbuild.2022.112025

Pompei, L., Mattoni, B., Bisegna, F., Blaso, L., & Fumagalli, S. (2020, 9–12 June 2020). Evaluation of the energy consumption of an educational building, based on the uni en 15193–1:2017, varying different lighting control systems. 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Madrid, Spain, 2020, pp. 1-6 https://doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160588.

Sarigiannis, D. A., Karakitsios, S. P., Antonakopoulou, M. P., & Gotti, A. (2012). Exposure analysis of accidental release of mercury from compact fluorescent lamps (CFLs). Science of The Total Environment, 435–436, 306–315. Link to source: https://doi.org/10.1016/j.scitotenv.2012.07.026

Saunders, H. D., & Tsao, J. Y. (2012). Rebound effects for lighting. Energy Policy, 49, 477-478. Link to source: https://doi.org/10.1016/j.enpol.2012.06.050

Schleich, J., Mills, B., & Dütschke, E. (2014). A brighter future? Quantifying the rebound effect in energy efficient lighting. Energy Policy, 72, 35–42. Link to source: https://doi.org/10.1016/j.enpol.2014.04.028

Schratz, M., Gupta, C., Struhs, T. J., & Gray, K. (2016). A new way to see the light: Improving light quality with cost-effective led technology. IEEE Industry Applications Magazine, 22(4), 55–62. https://doi.org/10.1109/MIAS.2015.2459089

United Nations Industrial Development Organization (UNIDO). (2021). SADC member states welcome the introduction of new efficient lighting standards. UNIDO. Retrieved 05 March 2025 from https://www.unido.org/news/sadc-member-states-welcome-introduction-new-efficient-lighting-standards

U.S. Department of Energy. (2016). Solid-state lighting R&D plan. https://www.energy.gov/sites/prod/files/2016/06/f32/ssl_rd-plan_%20jun2016_2.pdf

U.S. Department of Energy (2024). 2020 U.S. lighting market characterization. Link to source: https://www.energy.gov/sites/default/files/2024-08/ssl-lmc2020_apr24.pdf

World Furniture Online (2017). The lighting fixtures market in Australia and New Zealand. Link to source: https://www.worldfurnitureonline.com/report/the-lighting-fixtures-market-in-australia-and-new-zealand/

Xiong, Y., Guo, H., Nor, D. D. M. M., Song, A., & Dai, L. (2023). Mineral resources depletion, environmental degradation, and exploitation of natural resources: Covid-19 aftereffects. Resources Policy, 85, 103907. Link to source: https://doi.org/10.1016/j.resourpol.2023.103907

Xu, Y. (2019). Chapter 2.1 - nature and source of light for plant factory. In M. Anpo, H. Fukuda, & T. Wada (Eds.), Plant factory using artificial light (pp. 47–69). Elsevier. Link to source: https://doi.org/10.1016/B978-0-12-813973-8.00002-6

Zhang, H., Cai, J., & Braun, J. E. (2023). A whole building life-cycle assessment methodology and its application for carbon footprint analysis of U.S. commercial buildings. Journal of Building Performance Simulation, 16(1), 38–56. Link to source: https://doi.org/10.1080/19401493.2022.2107071

Zissis, G., Bertoldi, P., & Serrenho, T. (2021). Update on the status of LED-lighting world market since 2018. Publications Office of the European Union. https://publications.jrc.ec.europa.eu/repository/handle/JRC122760

Credits

Lead Fellow

  • Henry Igugu, Ph.D.

Contributors

  • Ruthie Burrows, Ph.D.

  • James Gerber, Ph.D.

  • Daniel Jasper

  • Alex Sweeney

Internal Reviewers

  • Aiyana Bodi

  • Hannah Henkin

  • Megan Matthews, Ph.D.

  • Ted Otte

  • Amanda D. Smith, Ph.D.

  • Christina Swanson, Ph.D.

Effectiveness

Replacing 1% of the building lighting market with LED lamps avoids approximately 7.09 Mt CO₂‑eq/yr emissions on a 100-yr basis (Table 1) or 7.15 Mt CO₂‑eq/yr on a 20-yr basis.

We estimated this solution’s effectiveness (Table 1) by multiplying the global electricity savings intensity (kWh/%) by an emissions intensity for each GHG emitted (in g/kWh)  due to electricity generation. Using the IEA (2024)’s energy balances data, we estimated emissions intensities of approximately 529 g/kWh for CO₂, 0.07 g/kWh for methane, and 0.01 g/kWh for nitrous oxide. Country-specific data were limited. Therefore, we developed the savings intensity using the IEA’s adoption trend (%/yr) and electricity consumption reduction (kWh/yr) for residential buildings globally (Lane, 2023). We then scaled up the savings intensity to represent all buildings (since LEDs are applicable in all types of buildings), but we could not find global data specifying the energy savings potential of converting the lighting market in nonresidential buildings to LEDs. Notably, artificial lighting’s energy consumption varies across building types (Moadab et al., 2021) and is typically greater in nonresidential buildings (Build Up, 2019). This presents some level of uncertainty, but also suggests that our estimates could be conservative – and that there is potential for even greater savings in nonresidential buildings.

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Table 1. Effectiveness at reducing emissions.

Unit: t CO₂‑eq/% lamps LED/yr, 100-yr basis

Estimate 7090000
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Cost

Our lifetime initial cost estimate of switching 1% of the global building lighting market to LEDs is approximately US$1.5 billion. Because LEDs use less electricity than alternative lamps, they cost less to operate, resulting in operating costs of –US$1.3 billion/yr (i.e., cost savings). Building owners typically are not paid to use LED lighting; therefore, the revenue is zero. After we amortize the initial cost over 30 years, the net annual cost for this solution is –US$1.2 billion/yr globally. Thus, replacing other bulbs with LEDs saves money despite the initial cost.

We estimated the cost (Table 2) by first identifying initial and operating costs from studies that retrofitted buildings with LEDs, such as Periyannan et al. (2023), Hasan et al. (2025), and Forastiere et al. (2024). We then divided the costs by the impact of the LED retrofit on the amount of electricity consumed by lighting in each study and multiplied this by the global electricity savings intensity (kWh/%) we estimated during the effectiveness analysis. The result was the cost per percent of lamps in buildings converted to LED lighting (US$/% lamps LED).

We estimated the cost per unit climate impact by dividing the annual cost savings per adoption unit by the CO₂‑eq emissions reduced yearly per adoption unit (Table 2).

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Table 2. Cost per unit climate impact.

Unit: 2023 US$/t CO₂‑eq, 100-yr basis

median -175.0

Negative values reflect cost savings.

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Learning Curve

As LEDs became more common in building lighting, costs dropped significantly in recent years.

Trends based on LED adoption data (Lane, 2023) and the cost of LED lighting (Pattison et al., 2020) showed a 29.7% drop in cost as LED adoption doubled between 2016 and 2019.

The cost data we used to identify the learning curve for this solution (Table 3) are specific to the United States and limited to pre-2020. More recent LED cost data may show additional benefits with respect to cost, but this value may not be applicable for other countries. However, the cost data we analyzed do provide a useful sample of the broader LED cost-reduction trend.

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Table 3. Learning rate: drop in cost per doubling of the installed solution base

Units: %

Estimate 29.7
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Speed of Action

Speed of action refers to how quickly a climate solution physically affects the atmosphere after it is deployed. This is different from speed of deployment, which is the pace at which solutions are adopted.

At Project Drawdown, we define the speed of action for each climate solution as emergency brake, gradual, or delayed.

Deploy LED Lighting is a GRADUAL climate solution. It has a steady, linear impact on the atmosphere. The cumulative effect over time builds as a straight line.

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Caveats

Our effectiveness analysis is based on the current state of LED technology. If the adoption ceiling is attained, further improvements to the amount of light that LEDs generate per unit electricity could enhance the solution’s impact through further reductions in electricity use.

The rebound effect – where building occupants use more lighting in response to increased energy-efficiency of lamps – is a well-established concern (Saunders and Tsao, 2012; Schleich et al., 2014). We attempted to address this concern by using IEA data on actual electricity consumption originating from building lighting to determine both its effectiveness and cost implications (Lane, 2023).

We did not fully account for the cost savings that potentially arise from fewer bulb replacements, since LEDs may replace various types of lamps. Because LEDs last significantly longer than all alternative lamp technologies, building owners may require fewer replacements when using LED lamps compared with other lighting sources.

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Current Adoption

Lane (2023) found that LED lamps represented 50.5% of the lighting market globally for residential buildings in 2022, but does not provide adoption data specific to nonresidential buildings. Studies that provide global or geographically segmented LED adoption data for all building types are also limited. Therefore, we assume 50.5% to be representative of LED adoption across all buildings globally (Table 4).

Other studies highlight adoption levels across various countries. The data captured in these studies and reports provide context with specific adoption levels from different regions (see Geographic Guidance).

The IEA and U.S. Department of Energy (DOE) report that LEDs are increasingly the preferred choice of homeowners and the general building lighting market. This preference is evident in the growing market share of LED lamps sold and installed annually (Lane, 2023; Lee et al., 2024).

In general, the solution’s current adoption globally is substantial, and we recognize that some countries possess more room for the solution to scale. While adoption barriers vary across regions, many countries are establishing lighting standards to drive LED adoption, especially across Africa [(IEA, 2022; United Nations Industrial Development Organization (UNIDO), 2021].

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Table 4. Current (2022) adoption level.

Units: % lamps LED

Estimate 50.5
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Adoption Trend

Adoption of LEDs has grown approximately 3.75%/yr over the past two decades.

Lane (2023) found that the proportion of lamps sold annually for building lighting that are LEDs grew from 1.1% in 2010 to 50.5% in 2022 (Figure 2). We estimated the adoption trend (Table 5) by determining the percentage growth between successive years, and calculating the variances.

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Figure 2. Trend in LED adoption between 2010 and 2022 (adapted from Lane, 2023).

Source: Lane, K. (2023, 11 July 2023). Lighting. International Energy Agency (IEA). Retrieved 13 December 2024 from https://www.iea.org/energy-system/buildings/lighting

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Data on the growth of LEDs across regional building lighting markets are limited. Lee et al. (2024)’s analysis of the U.S. lighting market found 46.5% growth 2010–2020, which translates to 4.65% annually. Zissis et al. (2021) reported 26% growth for France for 2017–2020, which averages 8.67% annually.

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Table 5. 2010–2022 adoption trend.

Units: % lamps LED market share growth/yr

25th percentile 2.85
mean 4.12
median (50th percentile) 3.75
75th percentile 5.4
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Adoption Ceiling

The adoption ceiling (Table 6) is 100%, meaning all lamps in buildings are LEDs. Lane (2023) projects 100% LED market penetration by 2030. If current adoption trends continue, 100% LED adoption is a practical and achievable upper limit. However, countries will need to overcome challenges such as regulatory enforcement, financial, and technology access issues, while preventing the entrance of inferior quality LEDs into their lighting market (IEA, 2022).

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Table 6. Adoption ceiling

Units: % lamps LED

Estimate 100
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Achievable Adoption

We estimate a low achievable adoption scenario of 87% based on Statista’s projections about LED lighting market penetration by 2030 (Placek, 2023). The values were similar in Zissis et al. (2021).

For the high achievable scenario, we projected 10 years beyond the 2022 adoption level using the mean adoption trend of 4.12%/yr. This translates to a 41% growth on top of the current adoption level of 50.5%, summing up to a 92% LED adoption level (Table 7).

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Table 7. Range of achievable adoption levels.

Unit: % lamps LED

Current Adoption 50.5
Achievable – Low 87
Achievable – High 92
Adoption Ceiling 100
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We estimated that current adoption cuts about 0.36 Gt CO₂‑eq emissions on a 100-yr basis compared with the previous alternative lighting sources (Table 8). The low achievable adoption scenario of 87% LED lamps could cut emissions 0.62 Gt CO₂‑eq/yr due to reduced electricity consumption, while a high achievable adoption scenario of 92% LED lamps could cut emissions 0.65 Gt CO₂‑eq/yr. If the adoption ceiling of 100% LEDs for lighting buildings is reached, we estimate that 0.71 Gt CO₂‑eq/yr could be avoided (Table 8).

LED lighting could further cut electricity consumption as LED technology continues to improve. However, the technology’s future climate impacts will depend on the emissions of future electricity-generation systems.

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Table 8. Climate impact at different levels of adoption.

Unit: Gt CO₂‑eq/yr, 100-yr basis

Current Adoption 0.36
Achievable – Low 0.62
Achievable – High 0.65
Adoption Ceiling 0.71
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Additional Benefits

Income and Work

Because LEDs use less electricity than fluorescent and incandescent light bulbs (Khan & Abas, 2011), households and businesses using LED technology can save money on electricity costs. The payback period for the initial investment from lower utility bills is about one year for residential buildings and about two months for commercial buildings (Amann et al., 2022). LED lighting can contribute to savings by minimizing energy demand for cooling, since LEDs emit less heat than fluorescent and incandescent bulbs (Albatayneh et al., 2021; Schratz et al., 2016). However, it could also lead to a greater need for space heating in some regions. LED lights also last longer than alternative lighting technologies, which can lead to lower maintenance costs (Schratz et al., 2016).

Health

Reductions in air pollution due to LED lighting’s lower electricity demand decrease exposures to pollutants such as mercury and fine particulate matter generated from fossil fuel-based power plants, improving the health of nearby communities [Environmental Protection Agency (EPA), 2024]. These pollutants have been linked to increased morbidity from cardiovascular and respiratory disease, asthma, infections, and cancer, and to increased risk of mortality (Gasparotto & Martinello, 2021; Henneman et al., 2023). Because LEDs do not contain mercury, they can mitigate small health risks associated with mercury exposure when fluorescent light bulbs break (Bose-O’Reilly et al., 2010; Sarigiannis et al., 2012). Switching to LEDs can also enhance a visual environment and improve occupants’ well-being, visual comfort, and overall productivity when lamps with the appropriate lighting quality and correlated color temperature are selected (Fu et al., 2023; Iskra-Golec et al., 2012; Nair & Dhoble, 2021b).

Air and Water Quality

The lower electricity demand of LEDs could help reduce emissions from power plants and improve air quality (Amann et al., 2022). Additionally, LEDs can mitigate small amounts of mercury found in fluorescent lights (Amann et al., 2022). Mercury contamination from discarded bulbs in landfills can leach into surrounding water bodies and accumulate in aquatic life. LEDs also have longer lifespans than fluorescent and incandescent bulbs (Nair & Dhoble, 2021b) which can reduce the amount of discarded bulbs and further mitigate environmental degradation from landfills. 

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Risks

We found limited data indicating risks with choosing LEDs over other lighting sources. Concerns about eye health raised in the early days of LED adoption (Behar-Cohen et al., 2011) have been allayed by studies that found that LEDs do not pose a greater risk to the eye than comparable lighting sources (Moyano et al., 2020). 

LED manufacturing uses metals like gold, indium, and gallium (Gao et al., 2022). This creates environmental risks due to mining (Xiong et al., 2023) and makes LED supply chains susceptible to macroeconomic uncertainties (Lee et al., 2021). With growing adoption of LED lights, there is also the risk of greater electronic waste at the end of the LED’s lifespan. Therefore, recycling is increasingly important (Cenci et al., 2020). 

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Interactions with Other Solutions

Reinforcing

Other lighting sources such as incandescent lamps are known to produce some heat, thus adding to the cooling load. LEDs are more energy-efficient, and therefore could reduce the cooling requirements of a space. 

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Competing

Some studies demonstrate an increase in the indoor heating requirements when switching to LED lighting from other lighting sources, such as incandescent lamps, that produce more heat than LEDs. The difference is often small, but worth taking into account when adopting LEDs in a building with previously energy-inefficient lighting.

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Dashboard

Solution Basics

% lamps LED

t CO₂-eq (100-yr)/unit/yr
7.09×10⁶
units
Current 50.5 08792
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.36 0.620.65
US$ per t CO₂-eq
-175
Gradual

CO₂, CH₄, N₂O, BC

Trade-offs

LED lamp manufacturing creates more emissions than manufacturing other types of lamps. For example, Zhang et al. (2023) compared the manufacturing emissions of a 12.5W LED lamp with a 14W CFL and a 60W incandescent bulb. These light sources provided similar levels of illumination (850–900 lumens). The production of one LED bulb resulted in 9.81 kg CO₂‑eq emissions, while the CFL and incandescent resulted in 2.29 and 0.73 kg CO₂‑eq emissions, respectively. However, LEDs are preferred because their longevity results in fewer LED lamps required to provide the same amount of lighting over time. LEDs can last 25 times longer than incandescent lamps with an identical lumen output (Nair & Dhoble, 2021b; Xu, 2019; Zhang et al., 2023). 

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% lamps LED
< 20
20–40
40–60
> 60
No data

Percentage of lamps that are LEDs, circa 2020

The percentage of lamps used to light buildings that are LEDs varies around the world, with limited data available on a per-country basis.

Miah, M. A. R., & Kabir, R. (2023). Energy savings forecast for solid-state lighting in residential and commercial buildings in Bangladesh. IEEE PES 15th Asia-Pacific Power and Energy Engineering Conference (APPEEC), pp. 1-6, Link to source: https://doi.org/10.1109/APPEEC57400.2023.10561921

U.S. Department of Energy (2024). 2020 U.S. lighting market characterization. Link to source: https://www.energy.gov/sites/default/files/2024-08/ssl-lmc2020_apr24.pdf

World Furniture Online (2017). The lighting fixtures market in Australia and New Zealand. Link to source: https://www.worldfurnitureonline.com/report/the-lighting-fixtures-market-in-australia-and-new-zealand/

Zissis, G., Bertoldi, P., & Serrenho, T. (2021). Update on the status of LED-lighting world market since 2018. Publications Office of the European Union. Link to source: https://publications.jrc.ec.europa.eu/repository/handle/JRC122760

% lamps LED
< 20
20–40
40–60
> 60
No data

Percentage of lamps that are LEDs, circa 2020

The percentage of lamps used to light buildings that are LEDs varies around the world, with limited data available on a per-country basis.

Miah, M. A. R., & Kabir, R. (2023). Energy savings forecast for solid-state lighting in residential and commercial buildings in Bangladesh. IEEE PES 15th Asia-Pacific Power and Energy Engineering Conference (APPEEC), pp. 1-6, Link to source: https://doi.org/10.1109/APPEEC57400.2023.10561921

U.S. Department of Energy (2024). 2020 U.S. lighting market characterization. Link to source: https://www.energy.gov/sites/default/files/2024-08/ssl-lmc2020_apr24.pdf

World Furniture Online (2017). The lighting fixtures market in Australia and New Zealand. Link to source: https://www.worldfurnitureonline.com/report/the-lighting-fixtures-market-in-australia-and-new-zealand/

Zissis, G., Bertoldi, P., & Serrenho, T. (2021). Update on the status of LED-lighting world market since 2018. Publications Office of the European Union. Link to source: https://publications.jrc.ec.europa.eu/repository/handle/JRC122760

Maps Introduction

The Deploy LED Lighting solution can be equally effective at reducing electricity use across global regions because the efficiency gained by replacing other bulbs with LEDs is functionally identical. However, its climate impact will vary with the emissions intensity of each region’s electricity grid. Secondary considerations associated with uptake of LED lighting also can vary with climate and hence geography. In particular, the decrease in heating associated with LED lighting can reduce demands on air conditioning, leading to increased incentive for solution uptake in warmer climates.

Historically, a few countries typically account for the bulk of LEDs purchased. For example, 30% of the 5 billion LEDs sold globally in 2016 were sold in China. In the same period, North America accounted for 15% while Western Europe, Japan, and India represented 11%, 10%, and 8% of the LEDs sold, respectively (Kamat et al., 2020; U.S. DOE, 2016). Essentially, the growing sales of LEDs drove global adoption levels from 17.6% of the building lighting market in 2016 to 50.5% in 2022 (Lane, 2023). However, current adoption still varies considerably around the world. For instance, Lee et al. (2024) reported that LED market penetration in the U.S. was 47.5% in 2020, compared with 43.3% globally in the same period (Lane, 2023). Meanwhile, LED adoption in France was 35% in 2017, and countries in the Middle East such as the United Arab Emirates, Saudi Arabia, and Turkey had over 70% LED adoption that same year; residential buildings in the United Kingdom had 13% LED adoption in 2018, while Japan had 60% LED adoption as of 2019 (Zissis et al., 2021). This demonstrates potential to scale LED adoption in the future, especially in low- and middle-income countries where the bulk of new building occurs (IEA, 2023).

Action Word
Deploy
Solution Title
LED Lighting
Classification
Highly Recommended
Lawmakers and Policymakers
  • Use regulations to phase out and replace energy-inefficient lighting sources with LEDs.
  • Set regulations that encourage sufficient lighting to limit the overuse of LEDs (or rebound effects).
  • Require that public lighting use LEDs.
  • Use financial incentives such as tax breaks, subsidies, and grants to facilitate the transition to LEDs.
  • Revise building energy-efficiency standards to reflect energy savings of LEDs.
  • Develop production standards and mandate labeling for LEDs.
  • Build sufficient inspection capacity for LED manufacturers and penalize noncompliance with standards.
  • Use energy-efficiency purchase agreements to help support utility companies during the transition to LED lighting.
  • Invest in research and development that improves the cost and efficiency of LED lighting.
  • Develop a certification program for LED lighting.
  • Create exchange programs or buy-back programs for inefficient light bulbs.
  • Start demonstration projects to promote LED lighting.
  • Join, support, or create educational programs that raise public awareness about the cost savings and energy-efficiency gains associated with LEDs.

Further information:

Practitioners
  • Take advantage of or advocate for financial incentives such as tax breaks, subsidies, and grants to facilitate the production of LED lighting.
  • Help develop circular supply chains in renovating, remanufacturing, reusing, and redistributing materials.
  • Invest in research and development to improve efficiency and cost of LEDs.
  • Adhere to, or advocate for, national LED standards.
  • Develop, produce, and sell LED lighting that imitates incandescent or other familiar lighting.
  • Consider bundling services with retrofitting companies and collaborating with utility companies to offer rebates or other incentives.
  • Improve self-service of LEDs by reducing obstacles to installation and ensuring LEDs can be easily replaced.
  • Help create positive perceptions of LED lighting by showcasing usage, cost savings, and emissions reductions.
  • Create feedback mechanisms, such as apps that alert users to real-time benefits such as energy and cost savings.
  • Start demonstration projects to promote LED lighting.
  • Join, support, or create educational programs that raise public awareness about the cost savings and energy-efficiency gains associated with LEDs.

Further information:

Business Leaders
  • Retrofit existing operations for LEDs, replace inefficient bulbs, and purchase only LEDs going forward.
  • Help develop circular supply chains in renovating, remanufacturing, reusing, and redistributing LED lighting materials.
  • Take advantage of financial incentives such as tax breaks, subsidies, and grants to facilitate the transition to LED lighting.
  • Invest in research and development that improves the cost and efficiency of LED lighting.
  • Join, support, or create educational programs that raise public awareness about the cost savings and energy-efficiency gains associated with LEDs.

Further information:

Nonprofit Leaders
  • Retrofit existing operations for LEDs, replace inefficient bulbs, and purchase only LEDs going forward.
  • Help develop circular supply chains in renovating, remanufacturing, reusing, and redistributing LED lighting materials.
  • Take advantage of, or advocate for, financial incentives such as tax breaks, subsidies, and grants to facilitate the transition to LED lighting.
  • Advocate for regulations to phase out and replace energy-inefficient lighting sources with LEDs.
  • Advocate for production standards and labeling for LEDs.
  • Call for regulations that encourage sufficient lighting to limit the overuse of LEDs (or rebound effects).
  • Start demonstration projects to promote LED lighting.
  • Help develop, support, or administer a certification program for LED lighting.
  • Create national catalogs of LED manufacturers, suppliers, and retailers.
  • Join, support, or create educational programs that raise public awareness about the cost savings and energy-efficiency gains associated with LEDs.

Further information:

Investors
  • Retrofit existing operations for LEDs, replace inefficient bulbs, and purchase only LEDs going forward.
  • Take advantage of financial incentives such as tax breaks, subsidies, and grants to facilitate the transition to LED lighting.
  • Invest in LED manufacturers, supply chains, and supportive industries.
  • Support research and development to improve the efficiency and cost of LEDs.
  • Invest in LED companies.
  • Fund companies that provide retrofitting services (energy service companies).
  • Invest in businesses dedicated to advancing LED use.
  • Ensure portfolio companies do not produce or support non-LED lighting supply chains.
  • Join, support, or create educational programs that raise public awareness about the cost savings and energy-efficiency gains associated with LEDs.

Further information:

Philanthropists and International Aid Agencies
  • Retrofit existing operations for LEDs, replace inefficient bulbs, and purchase only LEDs going forward.
  • Take advantage of financial incentives such as tax breaks, subsidies, and grants to facilitate the transition to LED lighting.
  • Provide financing such as low-interest loans, grants, and micro-grants to help accelerate LED adoption.
  • Fund companies that provide retrofitting services (energy service companies).
  • Advocate for regulations to phase out energy-inefficient lighting sources and replace them with LEDs.
  • Call for regulations that encourage sufficient lighting to limit the overuse of LEDs (or rebound effects).
  • Start demonstration projects to promote LED lighting.
  • Help develop, support, or administer a certification program for LED lighting.
  • Create national catalogs of LED manufacturers, suppliers, and retailers.
  • Join, support, or create educational programs that raise public awareness about the cost savings and energy-efficiency gains associated with LEDs.

Further information:

Thought Leaders
  • Retrofit buildings for LED lighting, replace inefficient bulbs, and purchase only LEDs going forward.
  • Help create positive perceptions of LED lighting by highlighting your personal usage, cost and energy savings, and emissions reductions.
  • Help develop circular supply chains in renovating, remanufacturing, reusing, and redistributing materials.
  • Take advantage of, or advocate for, financial incentives such as tax breaks, subsidies, and grants to facilitate the transition to LED lighting.
  • Advocate for regulations to phase out energy-inefficient lighting sources and replace them with LEDs.
  • Advocate for LED standards.
  • Advocate for regulations that encourage sufficient lighting and guard against overuse of LEDs (or rebound effects).
  • Start demonstration projects to promote LED lighting.
  • Help develop, support, or administer a certification program for LED lighting.
  • Create national catalogs of LED manufacturers, suppliers, and retailers.
  • Join, support, or create educational programs that raise public awareness about the cost savings and energy-efficiency gains associated with LEDs.

Further information:

Technologists and Researchers
  • Develop circular supply chains in renovating, remanufacturing, reusing, and redistributing materials.
  • Improve the efficiency and cost of LEDs.
  • Improve LED lighting to imitate familiar lighting, offer customers settings, and augment color rendering.
  • Improve self-service of LEDs by reducing obstacles to installation and ensuring LEDs can be replaced individually.
  • Help develop standards for LEDs.
  • Create feedback mechanisms, such as apps that alert users to real-time benefits such as energy and cost savings.

Further information:

Communities, Households, and Individuals
  • Retrofit for LEDs, replace inefficient bulbs, and purchase only LEDs going forward.
  • Help create positive perceptions of LED lighting by highlighting your personal usage, cost and energy savings, and emissions reductions.
  • Help develop circular supply chains in renovating, remanufacturing, reusing, and redistributing materials.
  • Take advantage of or advocate for financial incentives such as tax breaks, subsidies, and grants to facilitate the transition to LED lighting.
  • Advocate for regulations to phase out and replace energy-inefficient lighting sources with LEDs.
  • Advocate for LED standards.
  • Advocate for regulations that encourage sufficient lighting to limit the overuse of LEDs (or rebound effects).
  • Join, support, or create educational programs that raise public awareness about the cost savings and energy-efficiency gains associated with LEDs.

Further information:

Sources
Evidence Base

Consensus of effectiveness in reducing GHG emissions from electricity generation: High

Using LEDs significantly minimizes the electricity required to light buildings, thereby reducing GHG emissions from electricity generation. Many countries are phasing out other lighting sources to reduce GHG emissions (Lane, 2023).

The IEA reported that global adoption of LEDs drove a nearly 30% reduction in annual electricity consumption for lighting in homes between 2010 and 2022 (Lane, 2023). Hasan et al. (2025) indicated that LEDs could reduce the lighting energy usage of buildings (and their resulting GHG emissions) in Bangladesh by 50%. Periyannan et al. (2023) recorded significant electricity savings after evaluating the impact of retrofitting hotels in Sri Lanka with LEDs. Forastiere et al. (2024)’s analysis of the retail buildings in Italy showed an 11% reduction in energy consumption from replacing other lamps with LEDs. Booysen et al., (2021) also achieved significant energy reduction with lighting retrofits in South African educational buildings.

The results presented in this document summarize findings from six original studies and three public sector/multilateral agency reports, which collectively reflect current evidence both globally and from six countries on four different continents. We recognize this limited geographic scope creates bias, and hope this work inspires research and data sharing on this topic in underrepresented regions.

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Updated Date

Deploy District Cooling

Submitted by Drawdown Admin on
Sector
Electricity
Mode
Cut Emissions
Cluster
Enhance Efficiency
Image
A large district cooling facility
Coming Soon
Off
Summary

Deploying district cooling is the process of connecting multiple buildings in a dense area to a single, highly efficient source of cooling. The increased energy efficiency and reduction in use of high global warming potential refrigerants can translate into substantial emissions reductions and lower operating expenses. District cooling systems that integrate cool thermal storage have the potential to significantly reduce electricity demand during peaks when demand for cooling can strain electricity grids. However, the high upfront cost, long-term planning, and large number of stakeholders involved make this a challenging solution, especially in low- and middle-income countries where new demand for cooling is growing. Lack of publicly available data also makes this potential solution difficult to explore in greater depth. Based on our assessment, we will “Keep Watching” this potential solution.

Description for Social and Search
District cooling systems that integrate cool thermal storage have the potential to significantly reduce electricity demand during peaks.
Overview

What is our assessment?

Based on our analysis, deploying district cooling is a potentially impactful option for reducing emissions from buildings as demand for cooling continues to grow. However, upfront cost and project complexity are major barriers to deployment, and a lack of data is a barrier to deeper analysis. This potential solution is therefore classified as “Keep Watching.”

Plausible Could it work? Yes
Ready Is it ready? Yes
Evidence Are there data to evaluate it? No
Effective Does it consistently work? Yes
Impact Is it big enough to matter? Yes
Risk Is it risky or harmful? No
Cost Is it cheap? No

What is it?

District cooling consists of a centralized cooling system that distributes chilled water to multiple buildings through a network of insulated underground pipes. The cooled water absorbs heat from the buildings, replacing the need for air conditioners or chillers in each building. District cooling can produce cooled water from a variety of renewable sources, such as renewable electricity, solar cooling, and natural cooling sources, including seawater, lakewater, rivers, and groundwater. It can even use waste heat from industry to generate cooling. Many systems include thermal energy storage facilities where frozen water, cold water, or phase change materials are cooled when electricity prices are low for use during peak hours to save costs and reduce strain on the electricity grid. District cooling is best applied to high-density areas and can be combined with district heating to provide year-round conditioning. 

Does it work?

When district cooling replaces conventional standalone systems in residential and commercial buildings, it can reduce emissions through two main mechanisms. First, many district cooling systems exchange heat with natural sources of cooling such as oceans, deep lakes, and rivers, a process that can be many times more energy efficient than conventional cooling systems. This results in reduced energy use and reduced emissions from the electricity used to operate the system. Second, district cooling systems can reduce the use of refrigerants with high global warming potentials, which can leak at all stages of a cooling system’s lifespan. When replacing standalone systems, district cooling can significantly reduce the total volume of refrigerants used. In addition, some district cooling systems do not use any refrigerants at all (e.g., exchanging heat with ocean or deep lake water), and many are able to use refrigerants with low global warming potentials. For instance, the Zuidas International Business Hub in the Netherlands adopted a district cooling system that uses lake cooling combined with chillers, reducing emissions by 75% compared to conventional cooling systems. 

Why are we excited?

According to the International Energy Agency (IEA), global carbon emissions from cooling buildings reached 1.02 Gt CO₂‑eq in 2022. The majority of emissions associated with cooling are from standalone systems such as window air conditioners and chillers that serve a single building. District cooling systems are relatively rare at this time, with most capacity found in the United States and the Gulf Arab States. While existing district cooling systems can be made less emitting, there may be greater potential for new systems because demand for cooling is increasing by ~4%/yr as global temperatures rise and as standards of living improve in regions that experience high temperatures. This is raising concerns about the new electricity generating capacity needed when demand peaks on very hot days. District cooling systems can reduce overall energy use for cooling relative to standalone systems, and when paired with cool thermal storage, can significantly reduce demand during peak hours and on hot days. Building owners can enjoy less maintenance costs, more reliable cooling, and increased floor space when district cooling systems replace bulkier standalone cooling systems. In dense areas with good access to natural or low-cost cooling sources, district cooling systems can cost less to operate and offer lifetime savings despite the higher upfront costs. 

Why are we concerned?

Deploying district cooling systems has high upfront costs and requires extensive planning and coordination among a wide range of stakeholders. These projects can face challenges in getting financing due to a lack of confidence for both investors and customers, uncertainty about future loads, and regulatory barriers. These can be especially challenging in low- and middle-income countries where demand for cooling is growing rapidly. Many buildings are likely to invest in standalone systems in the near term, locking them into alternatives and weakening the business case for district systems in the area. Meanwhile, the full potential is difficult to assess due to a lack of data on district cooling systems globally.

Al-Nini, A., Ya, H. H., Al-Mahbashi, N., & Hussin, H. (2023). A Review on Green Cooling: Exploring the Benefits of Sustainable Energy-Powered District Cooling with Thermal Energy Storage. Sustainability, 15(6), 5433. Link to source: https://doi.org/10.3390/su15065433  

Delmastro, C., Martinez-Gordon, R., Lane, K., Voswinkel, F., Chen, O., & Sloots, N. (2023). Space cooling. IEA. Link to source: https://www.iea.org/energy-system/buildings/space-cooling  

Energy Sector Management Assistance Program. (2020). Primer for space cooling (Knowledge Series). World Bank. Link to source: https://documents1.worldbank.org/curated/en/131281601358070522/pdf/Primer-for-Space-Cooling.pdf 

Eveloy, V., & Ayou, D. S. (2019). Sustainable District Cooling Systems: Status, Challenges, and Future Opportunities, with Emphasis on Cooling-Dominated Regions. Energies, 12(2), 235. Link to source: https://doi.org/10.3390/en12020235  

IEA. (2018). The future of cooling: Opportunities for energy-efficient air conditioning. Link to source: https://iea.blob.core.windows.net/assets/0bb45525-277f-4c9c-8d0c-9c0cb5e7d525/The_Future_of_Cooling.pdf  

IEA District Heating and Cooling. (2019). Sustainable district cooling guidelines. International Energy Agency. Link to source: https://iea.blob.core.windows.net/assets/a5da464f-8310-4e0d-8385-0d3647b46e30/2020_IEA_DHC_Sustainable_District_Cooling_Guidelines_new_design.pdf  

International district energy association. (2008). District cooling best practice guide, first edition. Link to source: https://higherlogicdownload.s3.amazonaws.com/DISTRICTENERGY/998638d1-8c22-4b53-960c-286248642360/UploadedImages/Conferences/District_Cooling_Best_Practice_Guide.pdf  

Lienard, V. (n.d.). How can we cool our cities? Euroheat and Power. Retrieved August 18, 2025, from Link to source: https://energy-cities.eu/wp-content/uploads/2025/03/District-cooling_Euro-Heat-and-Power.pdf  

Voswinkel, F., Senat, D., Valle, N. D., D’Angiolini, G., & Callioni, F. (2025, July 28). Staying cool without overheating the energy system. IEA. Link to source: https://www.iea.org/commentaries/staying-cool-without-overheating-the-energy-system  

Werner, S. (2017). International review of district heating and cooling. Energy, 137, 617–631. Link to source: https://doi.org/10.1016/j.energy.2017.04.045  

Credits

Lead Fellow

  • Heather McDiarmid, Ph.D.

Internal Reviewers

  • Christina Swanson, Ph.D.
Action Word
Deploy
Solution Title
District Cooling
Classification
Keep Watching
Updated Date
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