Deploy Utility-Scale Hydropower
Advanced geothermal energy is an emerging clean energy technology that harnesses the Earth’s subsurface heat to generate emissions-free baseload and dispatchable electricity and heat. Unlike traditional geothermal systems that tap naturally occurring hot water or steam reservoirs, advanced geothermal systems (AGS) use a range of technologies, including directional drilling and hydraulic fracturing, to access or create artificial geothermal reservoirs through which they circulate water or other fluids. Accessible geothermal resources suitable for AGS occur across the globe and, if technology improvements continue, advanced geothermal systems could supply around 15% of the world’s electricity by 2050. However, to progress from pilot stage to commercialization, the industry needs more demonstration projects to address high upfront costs, technical challenges, and environmental and safety concerns, and to generate greater policy support to facilitate deployment. Based on our assessment, advanced geothermal energy is a potentially high-impact climate solution that we will “Keep Watching.”
Advanced geothermal systems (AGS) are emerging as one of the most promising technologies for reliable, utility-scale, zero-carbon energy that can complement wind and solar, strengthening grid resilience, and providing heat for district heating and industrial uses. The technology, which is built on an existing base of technical and industrial expertise and capacity, is advancing rapidly through major R&D efforts, pilot projects and, just recently, small scale commercial operations. While large-scale deployment is still in its early stages and challenges remain around cost, execution, and social acceptance, we expect meaningful progress by the 2030s. For now, we will “Keep Watching” this solution.
| Plausible | Could it work? | Yes |
|---|---|---|
| Ready | Is it ready? | No |
| Evidence | Are there data to evaluate it? | Limited |
| 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 |
Advanced geothermal systems (AGS) are a suite of renewable energy technologies that extract heat from deep within the Earth’s crust to generate electricity, provide high-temperature heat for industrial processes or district heating, and enable geothermal energy storage by storing heat underground. Unlike traditional geothermal systems that tap naturally occurring hot water or steam reservoirs, such as geysers or volcanic areas, AGS access geothermal heat by drilling into the earth, injecting and circulating water (or other fluids) through hot, dry rock formations underground, and then recovering the heated fluid or steam to generate electricity before reinjecting it back underground. Circulation of the water between the surface and the geothermal reservoir can be a in closed loop system, where the water or other fluid is contained within pipes throughout the heat exchange circulation cycle, or in an open loop, enhanced geothermal system (EGS) where the subsurface rocks are hydraulically fractured, or “fracked,” to increase permeability and allow water to flow between an injection well and a production well.
Electricity and heat production by an advanced geothermal power plant emits virtually no greenhouse gases. Analysis by the National Renewable Energy Laboratory showed that the median life cycle emissions from enhanced geothermal power plants were 32 g CO₂‑eq/kWh, just 6% of the median life cycle emissions from a natural gas power plant, with most of the emissions generated during construction rather than operation. Geothermal energy has been used for more than a century, but AGS that use the directional and horizontal drilling and hydraulic fracturing techniques developed by the oil and gas industry to access previously inaccessible underground heat resources are relatively new. To date, several small-scale and experimental AGS projects have successfully produced electricity, and in December 2025, the first commercial plant for electricity and heat production delivered electricity to the grid in Germany.
Advanced geothermal energy systems are a potentially transformative climate solution for several reasons. First, they could massively expand clean energy availability. AGS can be deployed in almost any region with hot subsurface rocks. Experts estimate the Earth’s accessible geothermal resources are staggeringly large, and that tapping just 0.1% of the heat under our feet could meet global energy needs for millennia. If technology improvements continue, advanced geothermal could supply around 15% of the world’s electricity by 2050. Second, unlike solar and wind energy, advanced geothermal power plants produce steady baseload power, dispatchable power, and even energy storage. Currently, coal and gas power plants are commonly used to provide stability and backup power to electricity grids around the world. AGS can provide the same energy benefits, complementing wind and solar energy by providing firm capacity and grid stability services to a renewable-heavy electricity grid, without the harmful climate impacts. Third, AGS plants have a relatively small land footprint and can potentially be sited near demand centers (including repurposing old fossil plant sites), improving energy security for regions with limited solar or wind resources.
Recent technological breakthroughs have improved the prospects for AGS. The application of directional drilling and hydraulic fracturing techniques has produced higher fluid flow rates and extended reservoir life. This has dramatically increased the heat extraction per well, overcoming previous limitations and boosting the energy output and economics of AGS. Industry reports show drilling rates in hot rock have increased by 300–500% in the last few years, slashing upfront costs. A recent U.S. Department of Energy report projects that the cost of next-generation geothermal projects, including AGS, will fall below that of other baseload power sources such as nuclear and natural gas with carbon capture and storage (CCS) by 2035. Other projections suggest that geothermal electricity could drop to around US$50/MWh by the 2030s, competitive with other renewables and nuclear. Finally, AGS leverage a skilled workforce and supply chain from the oil and gas sector. The necessary drilling rigs, subsurface imaging, and engineering expertise already exist, which could help scale up AGS faster than entirely new industries.
Despite its promise, AGS face several challenges that temper its near-term prospects. To bridge the gap from pilot stage to commercialization, the industry needs more demonstration projects, case studies of success, and greater public trust. This is challenging because advanced geothermal projects today have high upfront capital costs, primarily due to deep drilling and, for EGS, hydraulic stimulation expenses, as well as high operational costs. Current AGS electricity is also far more expensive than conventional renewables, often hundreds of dollars per MWh. Until these costs decline, the industry may struggle to attract the investment financing needed to scale up. Moreover, the geological uncertainty in any given project is high because limited geophysical data in many regions makes it hard to pinpoint the best spots to drill. Developers must invest in exploration with no guarantee of finding an adequate resource, so early projects carry a significant risk of cost overruns.
Safety and environmental concerns also pose challenges. In some types of geologies, enhanced geothermal systems, which use hydraulic fracturing to create the heat exchange reservoirs and circulate fluid underground, can trigger small earthquakes. Some EGS have been halted after local earthquakes caused alarm and minor damage. Because they use water and circulate hot brines, AGS could pose risks for groundwater contamination or water consumption in arid regions, although geothermal system designs that use closed-loop systems or non-potable water can avoid these problems. Finally, geothermal projects often face regulatory and logistical hurdles and lengthy permitting processes. In many countries, regulatory regimes and incentives have focused on solar, wind, and even nuclear, while geothermal energy (and especially AGS) has received comparatively little support. This means AGS developers may struggle with financing and grid access due to policy gaps or obstacles.
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Akindipe, D. F., Smith, M., Witter, E., et al. (2026). 2025 U.S. Geothermal Market Report. (Technical Report No. NLR/TP-5700-91898). National Laboratory of the Rockies. https://docs.nrel.gov/docs/fy26osti/91898.pdf
Blankenship, D., Gertler, C., Kamaludeen, M., O’Connor, M., & Porse, S. (2024). Pathways to Commercial Liftoff: Next-Generation Geothermal Power. U.S. Department of Energy. Link to source: https://cdn.catf.us/wp-content/uploads/2025/06/09154348/doe-liftoff-nextgen-geothermal.pdf
Boretti, A. (2025). Enhanced geothermal systems: Potential, challenges, and a realistic path to integration in a sustainable energy future. Next Energy, 8, Article 100332. Link to source: https://doi.org/10.1016/J.NXENER.2025.100332
Eberle, A., Heath, G. A., Carpenter Petri, A. C., & Nicholson, S. R. (2017). Systematic review of life cycle greenhouse gas emissions from geothermal electricity. (Technical Report No. NREL/TP-6A20-68474). National Renewable Energy Laboratory. Link to source: https://docs.nrel.gov/docs/fy17osti/68474.pdf
EnergyNews247 (2025). Eavor’s Geothermal System to Come Online in Germany. Link to source: https://energynews247.com/eavors-geothermal-system-to-come-online-in-germany/
Heath, G., O'Donoughue, P., & Whitaker, M. (2012). Life cycle GHG emissions from conventional natural gas power generation: Systematic review and harmonization (Presentation No. NREL/PR-6A20-57229). National Renewable Energy Laboratory. Link to source: https://docs.nrel.gov/docs/fy13osti/57229.pdf
Horne, R., Genter, A., McClure, M., Ellsworth, W., Norbeck, J., & Schill, E. (2025). Enhanced geothermal systems for clean firm energy generation. Nature Reviews Clean Technology, 1(2), 148–160. Link to source: https://doi.org/10.1038/S44359-024-00019-9
International Energy Agency. (2024). The future of geothermal energy. Link to source: https://www.iea.org/reports/the-future-of-geothermal-energy
Kah, M. & Kleinberg, R. (2025, April 7). The potential contribution of enhanced geothermal systems to future power supply: Roundtable summary. Center on Global Energy Policy at Columbia Columbia University SIPA. Link to source: https://www.energypolicy.columbia.edu/publications/the-potential-contribution-of-enhanced-geothermal-systems-to-future-power-supply-roundtable-summary/
Lipton, J. & Seligman. A. (2025). Powering the future: What 50 years of enhanced geothermal teaches us today. Clean Air Task Force. Link to source: https://www.catf.us/wp-content/uploads/2025/08/CATF-EGS-Trend-Analysis-Report.pdf
Kassem, M. A., & Moscariello, A. (2025). Geothermal energy: A sustainable and cost-effective alternative for clean energy production and climate change mitigation. Sustainable Futures, 10, Article 101247. Link to source: https://www.sciencedirect.com/science/article/pii/S2666188825008081
McKasy, M., Yeo, S. K., Zhang, J. S., Cacciatore, M. A., Allen, H. W., & Su, L. Y. F. (2025). Support for regulation of enhanced geothermal systems research: examining the role of familiarity, credibility, and social endorsement. Geothermal Energy, 13(1), 1–21. Link to source: https://doi.org/10.1186/S40517-025-00346-5
Nath, F., Mahmood, M. N., Ofosu, E., & Khanal, A. (2024). Enhanced geothermal systems: A critical review of recent advancements and future potential for clean energy production. Geoenergy Science and Engineering, 243, Article 213370. Link to source: https://doi.org/10.1016/J.GEOEN.2024.213370
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U.S. Department of Energy. (n.d.). Enhanced Geothermal Systems. Retrieved October 20, 2025, from Link to source: https://www.energy.gov/eere/geothermal/enhanced-geothermal-systems
Zastrow, M. (2019, March 22). South Korea accepts geothermal plant probably caused destructive quake. Nature. Link to source: https://doi.org/10.1038/D41586-019-00959-4
Improving district heating for industry involves using low-carbon alternatives, such as electric boilers, heat pumps, and waste heat from other industries, to provide heat to industries for their operations. Currently, most district heating for industry relies heavily on fossil fuels to generate heat (International Energy Agency [IEA], 2026). Low-carbon alternatives have the potential to make a significant dent in the global emissions from industry, but such projects are also challenging to implement due to their scale and complexity, and there is currently a lack of publicly available data that would allow for a deeper analysis. Based on our assessment, we will “Keep Watching” this potential solution.
Based on our analysis, improving district heating for industry by integrating low-carbon heat sources has the potential to significantly reduce the use of fossil fuels and the emissions they generate. However, the lack of data, combined with the complexity of such projects and the growing interest in alternative decarbonization pathways, makes this a potential solution to “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 |
District heating systems consist of a network of underground pipes that distribute heat to a large number of buildings, including industrial buildings. In the industrial sector, district heating is used by light industries and for processes such as drying, paper making, food processing, as well as space heating and even heat-driven refrigeration (Bellevrat & West, 2018; Difs et al., 2009). Industry is well suited to district heating because it typically has steady and predictable heat demand throughout the year. Current district heating systems rely heavily on coal and natural gas for heat generation, often as part of combined heat and power generation (IEA, 2026). Low-carbon alternatives for district heating can include electric boilers, electric heat pumps, solar thermal, deep geothermal, and even waste heat from other industries (IEA, 2026; International Renewable Energy Agency [IRENA] et al., 2020).
Shifting district heating for industry from conventional heat sources to low-carbon heat sources will significantly reduce emissions. Our analysis for district heating use by commercial and residential buildings shows that significant emissions can be avoided by shifting to electric boilers, heat pumps, and the use of waste heat (see Improve District Heating: Buildings). Similar outcomes are likely possible for industrial district heating use, and emissions reductions will increase as more renewables are integrated into the electricity systems used to power electric boilers and heat pumps.
District heating for industry currently produces significant emissions. According to the IEA (2026), district heating and cooling for all applications accounted for roughly 5% of global energy consumption in 2024, and roughly 40% of the heat energy from district heating was delivered to industry IEA, 2022). China is a major adopter of district heating for industries, with the combustion of coal supplying much of that heat (IEA, 2026). The shift to renewable heat sources is likely to increase because both China and the EU have policies targeting the adoption of renewables in district heating (European Commission, 2022; IEA, 2026). Because district heating systems serve multiple buildings, a single project to replace fossil fuels with renewables can have a large impact. Such projects also have the benefit of reducing local air pollution.
Although simple on paper, replacing fossil fuel systems with lower-carbon alternatives in district heating systems can be an extended undertaking involving many stakeholders and years of planning (Lake et al., 2017; Werner, 2017). Some low-carbon options may not be suitable for industrial processes that require higher temperatures than those needed for space heating (Bellevrat et al., 2018). There is also a significant lack of publicly available data about how industry currently uses district heating and the opportunities and challenges involved in shifting to renewables. In the meantime, industrial heat pumps with higher temperature outputs are increasingly available and could become a low-carbon competitor to the use of a conventional district heating system (IEA, 2026).
Bellevrat, E., & West, K. (2018). Clean and efficient heat for industry. IEA. Link to source: https://www.iea.org/commentaries/clean-and-efficient-heat-for-industry
Difs, K., Danestig, M., & Trygg, L. (2009). Increased use of district heating in industrial processes – Impacts on heat load duration. Applied Energy, 86(11), 2327–2334. Link to source: https://doi.org/10.1016/j.apenergy.2009.03.011
European Commission. (2022). Implementing the repower EU action plan: Investment needs, hydrogen accelerator and achieving the bio-methane targets. Link to source: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52022SC0230
IEA. (2026). Renewables in district energy [report]. Link to source: https://iea.blob.core.windows.net/assets/af971612-a456-495e-8c55-5d13bc281962/RenewablesinDistrictEnergy.pdf
IEA. (2022). Global annual heat deliveries to end-use sectors through district heating networks, 2000-2021. Link to source: https://www.iea.org/data-and-statistics/charts/global-annual-heat-deliveries-to-end-use-sectors-through-district-heating-networks-2000-2021
IRENA, IEA, & REN21. (2020). Renewable energy policies in a time of transition: Heating and cooling. Link to source: https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2020/Nov/IRENA_IEA_REN21_Policies_Heating_Cooling_2020.pdf
Lake, A., Rezaie, B., & Beyerlein, S. (2017). Review of district heating and cooling systems for a sustainable future. Renewable and Sustainable Energy Reviews, 67, 417–425. Link to source: https://doi.org/10.1016/j.rser.2016.09.061
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
Waste to energy (WTE) uses high temperature incineration to burn municipal, agricultural, and forest waste to generate electricity and heat. This technology can be used to displace fossil fuels for energy production and, by diverting waste from landfills, it avoids emissions from waste decomposition, including methane. The effectiveness of WTE in reducing GHG emissions is highly variable, depending on waste type and quality, combustion characteristics, air pollution controls, alternative disposal methods, and the type of electricity generation that it displaces. While WTE can reduce waste volumes by up to 90%, it requires a steady supply of waste, which can incentivize waste production or importation. WTE produces significant toxic air pollution, which requires strict standards, advanced air pollution control systems, and continuous monitoring to minimize harmful emissions. In most regions, WTE is the most expensive waste management method, and it can displace other waste treatment technologies, like recycling, that reduce emissions more effectively. Under most circumstances, incinerating waste to produce electricity or heat is not an effective method for reducing GHG emissions; therefore, it is “Not Recommended” as a climate solution.
Because incineration of waste to produce electricity and/or heat does not reduce emissions in most circumstances, and it can displace or disincentivize other, more effective waste treatment practices, Deploying Waste to Energy is “Not Recommended” as a climate solution.
| Plausible | Could it work? | No |
|---|---|---|
| Ready | Is it ready? | Yes |
| Evidence | Are there data to evaluate it? | Yes |
| Effective | Does it consistently work? | No |
| Impact | Is it big enough to matter? | No |
| Risk | Is it risky or harmful? | No |
| Cost | Is it cheap? | No |
Waste to energy (WTE) uses high temperature incineration (above 800oC) of waste, including municipal solid waste (MSW), medical or hazardous waste, and waste biomass from agriculture and forestry, to generate electricity and/or heat. This energy production technology can be used to displace fossil fuel energy sources. However, like fossil fuels, the incineration process produces GHGs during combustion, primarily CO₂ and nitrous oxides, as well as ash and other pollutants as byproducts. WTE also diverts waste from landfills and open dumps, avoiding high-impact methane emissions from decomposing organic materials and pollution and health risks from inorganic or toxic materials. Globally, there are more than 1,700 WTE plants. According to the International Energy Agency (IEA) World Energy Balances, WTE from industrial and municipal waste accounted for less than 0.5% of global energy production in 2022. Around 62% of WTE plants are in Asia, 33% are in Europe, and 4.5% are in North America. Other waste to energy technologies, such as pyrolysis and gasification, which use heat to convert organic materials into various forms of syngas, are evaluated in other Drawdown Explorer solutions and not included here.
The effectiveness of WTE for reducing GHG emissions when substituting for fossil fuels for heat and energy, while also avoiding landfill emissions, is highly variable. Effectiveness varies with waste type and quality, combustion characteristics, air pollution controls, alternative disposal methods, and the type of electricity generation that it displaces. WTE incineration is less energy efficient than natural gas or coal for producing electricity (20–30% for WTE compared to 40–60%), and relatively more waste must be burned to produce comparable amounts of energy. WTE incineration is also less energy efficient than pyrolysis (40–75%), gasification (40–60%), and even methane digestion (30–40%). In regions that incinerate large proportions of plastic waste, such as South Korea and China, emissions are higher than for landfilling the waste. For some waste streams in some regions, other treatment strategies such as recycling, composting, pyrolysis, gasification, or the production of biochar, bio-oils, or bio-bricks yield greater emissions reductions.
WTE can reduce waste volumes by up to 90%. In high-income regions without available land for sanitary landfills with landfill gas capture systems (see Improve Landfill Management), incineration is a viable alternative for post-recycling, hazardous, industrial, or medical waste. However, incineration of these waste streams requires strict standards, advanced air pollution control systems, and continuous monitoring to minimize harmful emissions of toxic pollutants.
In almost all circumstances, incinerating waste to produce reliable electricity or heat is not an effective method for reducing GHG emissions. WTE plants require a steady stream of waste feedstock to ensure ideal combustion conditions for electricity and heat production. This can incentivize waste production and disincentivize alternative waste treatments that reduce emissions more effectively. For example, in the European Union (EU), where incineration is widely used, some countries need to import waste to maintain energy production. This offsets some or all of the potential climate benefit due to emissions during transport and may divert attention from better waste management solutions, such as regulations on packaging, recycling, and composting. In other countries, high incineration rates of MSW (above 30%) are correlated with declines in recycling rates. For example, in 2018, Japan incinerated over 80% of MSW while only 4.9% was recycled. Recent policy initiatives there now focus on increasing recycling, which effectively and consistently reduces emissions, and decreasing incineration through source separation of waste. According to one study, chemically recycling plastic waste rather than incinerating it saves 0.82 kg CO₂‑eq /kg of feedstock.
WTE is a substantial source of toxic air pollution. Poorly constructed, unregulated incinerators generate air pollution and large amounts of ash that will need further treatment. Advanced air pollution control systems are required to minimize emissions of GHGs and pollutants, including particulate matter, sulfur dioxide, nitrogen oxides, carbon monoxide, other acid gases, heavy metals, and persistent organic pollutants like dioxins. Even in high-income countries with strict air quality standards, polluting incinerators are disproportionately sited in under-resourced communities, which exacerbates environmental justice issues. In the United States, 79% of incinerators are located in low-income or minority communities.
Finally, WTE is the most expensive waste management method in most regions, largely due to high capital costs. In 2018, all countries using industrial incinerators for incinerating more than 10% of MSW were high-income, except China. The addition of necessary emission control and monitoring systems further increases costs, making WTE more expensive than methane digesters or landfills with gas capture systems.
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Megan Matthews, Ph.D.
Christina Swanson, Ph.D.
Heather McDiarmid, Ph.D.
Carbon capture and storage (CCS) reduces the operational GHG emissions from fossil fuel power plants by selectively capturing CO₂ from the plant’s exhaust flue, preventing it from entering the atmosphere. The captured CO₂ is then concentrated, compressed, and permanently stored underground. The carbon capture technology is effective and available, but it is expensive and energy-intensive. Globally, emissions from coal and gas power plants are still increasing, potentially making retrofitting newer plants with CCS an appealing emissions reduction strategy. However, despite 30 years of pilot and commercial projects, most power plant CCS projects have failed. While CCS can cut CO₂ emissions, large-scale deployment of this technology on fossil-fueled power plants will likely drive continued production and use of coal and gas. Based on this risk, as well as the availability of cheaper, clean energy alternatives for power generation, we conclude that using CCS on fossil fuel power plants is “Not Recommended” as a climate solution.
Using CCS on fossil-fueled power plants will reduce electricity production emissions, but it is more expensive, more energy-intensive, and more polluting than readily available, cheaper, and cleaner alternatives like wind, solar, and geothermal. Based on this, and the risk that large-scale deployment of CCS on fossil-fueled power plants could drive continued production and use of coal and gas, we conclude that using CCS on fossil fuel power plants is “Not Recommended” as a climate solution.
| Plausible | Could it work? | Yes |
|---|---|---|
| Ready | Is it ready? | Yes |
| Evidence | Are there data to evaluate it? | Yes |
| Effective | Does it consistently work? | No |
| Impact | Is it big enough to matter? | Yes |
| Risk | Is it risky or harmful? | Yes |
| Cost | Is it cheap? | No |
Carbon capture and storage (CCS) is a technology that reduces GHG emissions from fossil fuel-powered electricity generation facilities by selectively capturing CO₂ from the power plant’s exhaust flue, preventing it from entering the atmosphere. The captured CO₂ is then concentrated, compressed, and permanently stored underground. There are other commercially available CCS technologies, such as pre-combustion capture and oxy-fuel combustion, but these are used almost exclusively for industrial processes like gas processing and cannot be readily retrofitted to existing power plants. CCS can also be applied to capture CO₂ from other industrial facilities that generate emissions from fuel combustion or production processes, like cement or ethanol production plants, or from biomass energy power plants. Instead of permanent storage, captured CO₂ can also be used as a chemical precursor for the manufacture of other products or for enhanced oil recovery, but, compared with geologic storage, these post-capture uses of CO₂ emit GHGs, thereby reducing or eliminating the emissions reduction efficacy of CCS.
The technology and chemistry for the selective capture of CO₂ from the exhaust of a power plant are effective. There are numerous chemical, membrane, and cryogenic methods for capturing CO₂, but monoethanolamine (MEA) is the predominant commercially available chemical absorbent currently in use in power plants with CCS. CO₂ capture efficiency varies with the type of reactive absorbent material and plant operations. Most CCS installations target 90% CO₂ capture rates, although actual capture rates are usually lower. CCS infrastructure is large, and the process of capturing CO₂ from power plant exhaust is complex, expensive, and energy-intensive. CCS requires the flue gas to be pumped to different parts of the power plant, the CO₂ to be captured and then separated from the sorbent material, and the concentrated CO₂ to be compressed for transport and storage. Energy for all these processes comes from the power plant. Various studies estimate CCS consumes at least 15–25% of the plant’s total generation capacity, with most of the energy used to separate the CO₂ and regenerate the sorbent material.
CCS has been used in pilot studies and commercial operations in a few dozen coal and natural gas power plants since the late 1990s. Despite the functional effectiveness of the technology, use of CCS to reduce power plant emissions has not been broadly adopted, and most CCS projects initiated in the past three decades have failed or been discontinued. Based on various assessments and projections, deployment of CCS on power plants has consistently lagged behind its expected contribution to emissions reduction. There are currently only four power plants with CCS in operation in the world, less than 0.05% of the global fossil-fueled power plant fleet. According to a 2021 study, only 10% of proposed CCS projects for power plants have actually been implemented. Based on another study, 78% of all power plant and industrial manufacturing CCS pilot and demonstration plants with a project size greater than 0.3 Mt CO₂ /yr have been cancelled or put on hold.
Globally, emissions from coal- and gas-fired power plants are still increasing, primarily in China and India, where large numbers of new thermal power plants have been built in the last two decades. Given the typical 30- to 45-year operational lifespan for coal and gas power plants, retrofitting these newer plants with CCS could substantially reduce their operational emissions while also allowing plant owners and investors to recover their investments. Installation of CCS to reduce emissions can also be prioritized for power plants located near places with geologic storage and where alternative electricity generation options are limited. There is a large amount of research underway to develop and test alternative carbon capture technologies, most aimed at increasing carbon capture efficiencies and reducing energy demands and costs. Other research on the factors contributing to the failure of most CCS projects to date may lead to the development of regulations and policies that require or incentivize the use of CCS for power plants, which could increase the current low implementation and success rates for this emissions reduction technology.
While CCS can reduce the operational CO₂ emissions from fossil-fueled power plants, large-scale deployment of this technology will likely drive continued production and use of coal and gas. Even before fossil fuels are burned, extraction, transport, and processing generate substantial GHG emissions, particularly for gas. Therefore, in addition to perpetuating the fossil fuel industry, even 90% efficient CCS reduces only a fraction of the life cycle emissions from coal and gas.
Widespread deployment of CCS in the electricity sector could also delay or crowd out deployment of wind, solar, and geothermal energy, slowing the clean energy transition that is already underway. Beyond these risks, the three-decade-long failure of power plant CCS to make the transition from pilot-scale science and technology to large-scale commercial deployment reflects its systemic problems and limitations. Unlike wind and solar energy, which have seen costs decline rapidly with development and deployment, CCS on power plants shows little evidence of a learning curve. It remains very expensive and very energy-intensive. A large-scale CCS demonstration project can cost more than US$1 billion to build and, in addition to its operational costs, CCS consumes at least 15–25% of the energy that the plant could otherwise sell to customers. CCS-related energy requirements could mean that a power company would need to build an additional power plant to compensate for reduced electricity deliveries from every four of its power plants equipped with CCS.
Due to these high project risks and costs, as well as the lack of regulations and policies to require or support CCS on power plants, public and private investments in the technology have been falling. Despite all this, recent research shows that the vast majority of lobbying spending for government support of CCS comes from fossil fuel interests, which have publicly stated that they view the technology as a strategy to extend society’s use of fossil fuels. Finally, in contrast to most other climate solutions that provide other benefits to natural systems or human well-being, CCS on power plants does nothing to address or alleviate the current harm from toxic air pollution produced by fossil-fueled power plants.
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Small modular nuclear reactors (SMRs) are advanced reactors designed to produce low-carbon electricity using smaller units that are factory-fabricated. SMRs aim to overcome the safety, cost, and scalability challenges of traditional large-scale nuclear power. They offer benefits such as passive safety systems, lower capital investment, and the potential to be deployed flexibly in remote or underserved regions. However, commercial deployment is limited, the costs remain uncertain, and long-term nuclear waste and proliferation concerns persist. We “Keep Watching” SMRs as a promising climate solution still in development that has not yet proven its readiness for large-scale implementation.
Based on our analysis, SMRs are a plausible and potentially impactful climate solution, but they are not yet ready for widespread deployment. The core technology is credible and carries significant potential for reducing GHG emissions. However, readiness, cost certainty, and deployment evidence are still lacking. For now, we will “Keep Watching” SMRs.
| Plausible | Could it work? | Yes |
|---|---|---|
| Ready | Is it ready? | No |
| 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 |
Small modular nuclear reactors (SMRs) are advanced reactors that produce low-carbon electricity by harnessing the heat from nuclear fission, an established and well-understood physical process. The innovation of SMRs lies primarily in their design. Typically smaller than traditional reactors, with a capacity of less than 300 megawatts (MW), SMRs are factory-built for enhanced quality control. This design allows them to be delivered to installation sites more quickly and potentially at a lower cost compared to conventional reactors, which typically range in capacity from about 700 MW to over 1,600 MW. While SMRs are generally considered "utility-scale" in their capacity, their smaller size makes them a viable option for smaller-scale applications, such as large micro-grids. These reactors can be assembled in a modular fashion, allowing incremental capacity additions. Additionally, some SMR designs boast enhanced safety features, including passive cooling systems that can function without external power sources, reducing the risks associated with reactor overheating or meltdowns. Currently, several countries are planning the deployment of SMRs, particularly China and the United States. Given their modular nature, several African countries, such as Ghana, are also looking toward SMRs to address their energy access deficits. Based on current plans, the International Energy Agency expects several countries to have multiple SMRs installed and operational by around 2030.
The physics behind SMRs is sound, and their potential as low-carbon energy sources is also scientifically valid, as they do not emit GHG emissions during operation. Several pilot SMR projects have also been launched. SMRs have yet to move beyond the demonstration phase to widespread commercial adoption. No SMR is currently deployed at the scale necessary to reduce global emissions measurably. Furthermore, independent, peer-reviewed empirical data on long-term operational performance, scalability, and cost remain sparse. While several countries, including the United States, Hungary, China, and Ghana, have announced plans or are discussing deploying SMRs within the next decade, those plans are still in the preparatory stages.
SMRs have several features that make them appealing as a potential climate solution. If scaled appropriately, they could displace fossil-fuel-based power generation and reduce carbon emissions significantly. Projected deployment scenarios by the Nuclear Energy Agency suggest that by 2050, the global SMR market could reach 375 gigawatts of installed capacity, avoiding up to 15 Gt of cumulative CO₂ emissions. Their smaller size and modular nature reduce financial risk, making them potentially more accessible to developing countries or smaller utilities. They are also flexible in siting and can complement variable renewable energy sources like solar and wind by providing reliable baseload or backup power. Additionally, SMRs could help decarbonize hard-to-electrify sectors like process heat in industry or remote energy systems. These attributes have prompted excitement among proponents who see SMRs as a scalable, flexible, and resilient solution for emissions-free power.
Despite their promise, SMRs face several challenges that limit their readiness for large-scale deployment. Safety remains a concern – not necessarily because of design flaws, but because any nuclear reactor carries inherent risks. Waste disposal and the potential for proliferation of nuclear materials remain persistent issues. Regulatory hurdles are also significant, as existing frameworks are often geared toward conventional reactors and may slow the licensing of newer designs. The cost of SMRs is another outstanding question. Recent analyses by Wood Mackenzie suggest that SMRs could cost US$6,000 to US$8,000 per kilowatt of capacity, which is well above the costs of utility-scale solar (US$1,448) or onshore wind (US$2,098). Deployment timelines also pose a challenge. Given the urgency of climate action, technologies that cannot be deployed at scale within the next 10–15 years may offer limited near-term benefits. A recent study by the Institute for Energy Economics and Financial Analysis opines that SMRs are still too costly, too time-consuming to construct, and too risky to significantly impact the transition away from fossil fuels in the next decade. While peer-reviewed academic studies have been conducted, a comprehensive, independent evaluation of large-scale deployment remains absent.
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Nuclear fusion combines two elements in a nuclear reaction to form a larger element and release energy that can be used to generate electricity. Nuclear fusion has been researched since the 1950s, but there have been no nuclear fusion plants built to date. Globally, electricity production mainly relies on fossil fuels, with an increasing portion being generated by renewable sources such as wind and solar. However, wind and solar alone are unable to provide baseload electricity (the minimum amount of electric power delivered to an electrical grid) due to their intermittent nature, and energy storage is required for grid reliability. Advantages of nuclear fusion include reducing reliance on fossil fuels for electricity generation, producing emission-free electricity during operation, being inherently safer than nuclear fission, generating minimal nuclear waste, and providing baseload power. Disadvantages include technical challenges, high costs, and uncertainty around regulations. We will “Keep Watching” nuclear fusion, but it is currently unproven and extremely expensive.
Based on our analysis, nuclear fusion is a promising alternative form of electricity generation, but it is still at a theoretical stage and will not be ready for large-scale deployment within the next 10–15 years, when it could have the most impact on meeting global climate targets. We will “Keep Watching” this potential climate solution.
| Plausible | Could it work? | Yes |
|---|---|---|
| Ready | Is it ready? | No |
| Evidence | Are there data to evaluate it? | Limited |
| Effective | Does it consistently work? | No |
| Impact | Is it big enough to matter? | Yes |
| Risk | Is it risky or harmful? | No |
| Cost | Is it cheap? | No |
Nuclear fusion is the process by which two individual elements are fused together into a single larger element using high pressure and temperature; this reaction releases large amounts of energy. This is the same reaction that happens in stars such as the sun. The energy from the fusion reaction can then be harnessed to produce electricity without emitting GHGs. Nuclear fusion power plants are best suited for centralized, large-scale generation (500 MW–1.2 GW of electricity output).
Nuclear fusion experiments have been carried out that prove the scientific principle is sound. However, only in recent years have experiments succeeded in producing more energy than was needed to initiate and sustain the fusion reaction. There have been no nuclear fusion power plants built to date, and it is unlikely that nuclear fusion–powered electricity generation will be ready for deployment before 2050.
Nuclear fusion energy offers several advantages as a solution to climate change, including high power density, the ability to deliver “firm” power (i.e., power that can be relied upon to meet demand when needed), and no GHG emissions. In addition, the most commonly used fuel for nuclear fusion – hydrogen – is readily accessible, there is no risk of a nuclear meltdown, and the process produces relatively little nuclear waste, meaning the risk of nuclear proliferation is almost nonexistent. Some research suggests that nuclear fusion could provide up to 15% of total electricity production either by replacing existing centralized power plants (e.g., oil and gas, coal, nuclear fission) that have reached end-of-life or to satisfy growing demand for electricity as access and electrification increase.
Nuclear fusion is not considered remotely close to being ready to deploy as a climate solution. It faces many technical challenges, including uncertainties related to fusion reactor design and optimal fuel types. The costs for nuclear fusion–produced electricity are highly uncertain and are expected to grow compared to existing estimates. Current estimates for nuclear fusion energy costs exceed US$150/MWh, nearly double the 2020 price per MWh for other energy sources. There are also large uncertainties about the policy environment for nuclear fusion plants, which could hinder both development and deployment. Currently, projections suggest that nuclear fusion reactors could be introduced between 2050 and 2060. This means that even under optimistic conditions, nuclear fusion is unlikely to make a significant contribution to meeting 2050 emissions reduction targets.
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Agrivoltaics is the dual use of land for simultaneous solar photovoltaic (PV) power generation and agricultural production. It reduces GHG emissions by shifting electricity production from fossil fuels to renewables. Agrivoltaic systems can be categorized by system type, PV configuration, module tilt, and agricultural activity. These systems operate at both utility and distributed scales. We consider all combinations of system type, PV structure, module tilt, and agricultural activity in this solution.
Electricity generation accounts for an estimated 23% of GHG emissions on a 100-year basis (Clarke et al., 2022), with fossil fuel–based sources supplying more than 60% of electricity generated in 2023 (International Energy Agency [IEA], 2024b). Since solar PV is a clean and renewable resource, agrivoltaics produces electricity without contributing to GHG emissions or air pollution during operation. Unlike conventional utility-scale solar PV, which often competes with agriculture for space, agrivoltaics combines solar PV electricity generation and agricultural production without requiring additional land use change or sacrificing arable land (Trommsdorff et al., 2025).
The primary climate benefit is the reduction of CO₂ emissions and smaller amounts of methane and nitrous oxide from displacing fossil fuel–based electricity from the grid. This solution quantifies only emissions avoided through electricity generation and does not include emissions from agricultural activities beneath or between the solar panels.
Agrivoltaic systems come in several configurations to coexist with different agricultural activities, including crop production, animal husbandry or grazing, ecosystem services, aquaculture, and pollinator habitat (Macknick et al., 2022). As shown in Figure 1, these systems range from standard ground-mounted arrangements – with crops growing between rows or livestock grazing underneath – to more specialized alternative designs such as elevated panels, vertical bifacial mounts, stilt-mounted trackers, and solar-integrated greenhouses. Overhead configurations elevate panels 2–6 meters above ground to allow standard farm operations while providing shade and weather protection for crops or livestock. Interspace (or interrow) configurations leave wide alleys between ground-mounted PV arrays for vegetation. Rooftop and structure-mounted configurations place panels on greenhouses, barns, or other farm infrastructure, using rigid or flexible panels (Campana et al., 2025; Macknick et al., 2022; Solar Power Europe, 2024a; Trommsdorff et al., 2021).
Each configuration involves different trade-offs between energy output, crop performance, land compatibility, and cost (Campana et al., 2025; Horowitz et al., 2020; Trommsdorff et al., 2025). Well-designed systems often achieve higher overall productivity with a land equivalent ratio exceeding 1 (Trommsdorff et al., 2025). Successful implementation typically requires partnerships among farmers, agricultural cooperatives, solar developers, and utilities, supported by government policies such as subsidies, tax credits, or zoning support (Trommsdorff et al., 2025).
Figure 1. Agrivoltaic configurations range from standard ground-mounted arrangements (top row) to more specialized alternative designs (bottom row), including elevated overhead systems, vertical mounts, stilt-mounted trackers, and solar-integrated greenhouses. These systems can support agricultural activities – including crop production, grazing, ecosystem services, and habitats – on the same land.
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Walston, L. J., Mishra, S. K., Hartmann, H. M., Hlohowskyj, I., McCall, J., & Macknick, J. (2018). Examining the potential for agricultural benefits from pollinator habitat at solar facilities in the United States. Environmental Science & Technology, 52(13), 7566–7576. Link to source: https://doi.org/10.1021/acs.est.8b00020
Williams, H. J., Wang, Y., Yuan, B., Wang, H., & Zhang, K. M. (2025). Rethinking agrivoltaic incentive programs: A science-based approach to encourage practical design solutions. Applied Energy, 377, 124272. Link to source: https://doi.org/10.1016/j.apenergy.2024.124272
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Yeligeti, M., Hu, W., Scholz, Y., Stegen, R., & von Krbek, K. (2023). Cropland and rooftops: The global undertapped potential for solar photovoltaics. Environmental Research Letters, 18(5), 054027. Link to source: https://doi.org/10.1088/1748-9326/accc47
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Zubi, G., Parag, Y., & Wald, S. (2024). Implications of large-scale PV integration on grid operation, costs, and emissions: Challenges and proposed solutions. Energies 2025, Vol. 18, Page 130, 18(1), 130. Link to source: https://doi.org/10.3390/EN18010130
Al-Amin Bugaje, Ph.D.
Ruthie Burrows, Ph.D.
James Gerber, Ph.D.
Daniel Jasper
Alex Sweeney
Amanda D. Smith, Ph.D.
Christina Swanson, Ph.D.
Megan Matthews, Ph.D.
We estimate that agrivoltaics reduces GHG emissions by 720 t CO₂‑eq /MW/yr (730 t CO₂‑eq /MW/yr, 20-year basis) (Table 1). This assumes that newly installed agrivoltaics displace an equivalent MWh of the 2023 global electricity grid mix (estimated at 530 kg CO₂‑eq /MWh (540 kg CO₂‑eq /MWh, 20-year basis; IEA, 2024b; see Methodology: Appendix A for calculation details). We used a median capacity factor of 15% based on country-level estimates (Ember, 2024; Ferreira Junior et al., 2025; McCall et al., 2024; Patel et al., 2023; Williams et al., 2024) to convert annual emissions reductions from per MWh to per MW installed capacity.
Actual avoided emissions will depend on local grid conditions and the specific power sources displaced (see Methodology: Appendix A). Studies in the U.S. show that from 2007–2015, solar deployment avoided approximately 0.5 t CO₂ /MWh (613 t CO₂ /MW/yr; Millstein et al., 2017) emissions, and a 15% increase in deployment avoided 8.54 Mt CO₂ /yr (Biswas et al., 2025).
Although solar PV emits negligible GHGs during operations, emissions arise during manufacturing, transportation, installation, maintenance, and decommissioning. However, these embodied emissions are paid back in approximately 1–2 yr (Badza et al., 2023; M. Ahmad et al., 2023; Mehedi et al., 2022; Pincelli et al., 2024; Smith et al., 2024). While total life-cycle emissions remain far below those of fossil fuels (National Renewable Energy Laboratory [NREL], 2021; Smith et al., 2024), decarbonizing industrial supply chains is essential to maximize climate impact (Pehl et al., 2017). In our analysis, we focused solely on emissions avoided during electricity generation. Carbon payback time, embodied life-cycle emissions, and on-farm agricultural emissions from ruminant grazing were excluded from the effectiveness and climate impact estimates.
Table 1. Effectiveness at reducing emissions.
Unit: t CO₂‑eq /MW/yr, 100-yr basis
| Estimate | 720 |
We estimated a mean levelized cost of electricity (LCOE) for agrivoltaics of US$69/MWh based on industry reports and journal articles (Bhatta et al., 2025; Fraunhofer ISE, 2024; Gadhiya & Chakraborty, 2025; Hwang & Lee, 2024; Sojib Ahmed et al., 2022; U.S. Department of Energy [U.S. DOE], n.d.; see Methodology: Appendix A for details). LCOE values represent the average cost of producing one MWh of electricity over the operational lifetime of a power plant, allowing investors to compare their expected revenue to a standard set of costs. This cost metric has been used by international agencies for cost comparison across generation technologies, incorporating installed capital costs, operation and maintenance, project lifespan, and energy output. The agrivoltaics LCOE describes costs to utility-scale generators and does not include agricultural output.
The LCOE for agrivoltaics is generally higher than that for utility-scale solar PV (Trommsdorff et al., 2025), due to higher capital expenditure requirements for overhead configurations and specialized partially see-through PV modules. However, agrivoltaics has a lower LCOE than distributed solar PV. For instance, a study conducted by the U.S. DOE (n.d.) showed that the LCOE of distributed solar PV was US$142/MWh (0.006 MWdc system) compared to agrivoltaics’ US$75/MWh (3 MWdc system). In the same study, a 100 MWdc utility-scale solar PV had an LCOE of US$47/MWh. These costs do not consider any subsidies or revenue.
In practice, revenues and costs will vary based on the ownership model structure. In developer-owned models, farmers receive fixed lease payments of US$250–2,500 per acre, while the solar provider bears the up-front cost (Daniels, 2022; Trommsdorff et al., 2025). In farmer-owned models, the farmers incur the initial investment burden and generate revenue by selling power to the grid or reducing their on-farm energy bills (Pandey et al., 2025).
Agrivoltaics does not have an empirically derived learning rate. The technology has only scaled meaningfully since the early 2010s, and its configurations vary too widely for a clean cost reduction curve to be fitted to the data. However, agrivoltaics is built from several existing technologies with well-understood learning dynamics.
We estimated the current global learning rate for module costs at about 34% (DNV, 2024; Masson, 2024). This high rate is heavily influenced by the accelerated growth of solar PV from 2012–2022; however, this number comes down over a longer period of time. Projections suggest it will slow to around 17% by 2050 as cost components stabilize and the largest gains from scaling are realized (DNV, 2024). Because agrivoltaic systems draw their modules from the same global supply chain as any other solar PV project, we expect that they inherit this curve directly.
What distinguishes agrivoltaics economically from utility-scale solar PV is the cost premium of its elevated or specialized mounting structures, more complex permitting, dual-use legal frameworks, and crop-specific engineering (Trommsdorff et al., 2025). These components follow slower learning curves than electronics, constrained by manufacturing scale-up and standardization of elevated racking/tracking systems. However, hardware innovations such as vertical bifacial or open-source designs, module reuse from decommissioned plants, and policy incentives (feed-in tariffs, grants, regulatory clarity) have potential to accelerate deployment and cross-sector learning (Pandey et al., 2025).
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 Agrivoltaics is a GRADUAL climate solution. It has a steady, linear impact on the atmosphere. As installed capacity of agrivoltaics increases over time, emissions from electricity generation are expected to decrease assuming solar PV displaces fossil fuel sources.
Implementing agrivoltaics requires careful site and crop selection to avoid unintended consequences. In temperate climates, excessive shading can reduce yields of shade-intolerant crops such as wheat, corn, and tomatoes (Pandey et al., 2025). Significant yield declines may displace food production to other land, triggering land conversion and emissions that offset climate gains (Agostini et al., 2021; Wagner et al., 2023). The greatest benefits occur when agrivoltaics is deployed on marginal or low-productivity farmland, where dual-use systems can improve efficiency up to 200% without compromising high yield agriculture (Pandey et al., 2025).
Farming activities also increase panel soiling from dust, pollen, or harvest residue, necessitating frequent maintenance to prevent energy losses, especially in arid or high-wind regions (Campana et al., 2025; Chirinda et al., 2024; Jung et al., 2022).
We acknowledge the partial overlap of agrivoltaics with utility-scale and distributed solar PV estimates; to avoid double-counting capacity, we treat it as a complementary pathway that expands solar adoption while mitigating land-use competition (Sorensen et al., 2022; Smith, 2024). Policy frameworks that differentiate dual-use systems through incentives, performance standards, or land-use regulations will determine the extent of overlap (Pandey et al., 2025). While proximity to the grid is essential, deployment is limited by transmission capacity and interconnection queue delays (Campana et al., 2025). Large utility-scale projects often face multi-year queues to connect to regional grids, with transmission costs sometimes approaching 50–100% of total project costs (Daniels, 2023; Macknick et al., 2022)
Our assessment assumed that each additional MWh from agrivoltaics displaces an equivalent MWh of the existing grid mix. In reality, avoided emissions vary by regional grid dynamics, marginal generation sources, and the timing and location of production. New solar generation can sometimes displace other renewables rather than fossil-based sources, especially in grids with high existing renewable, nuclear, or geothermal capacity (Baik et al., 2021; Suri et al., 2025). Because agrivoltaics is constrained to agriculturally suitable land – which is unevenly distributed globally – the degree to which these dynamics affect emissions reductions will vary by region.
As of 2023, the global installed capacity for agrivoltaics reached approximately 140,000 MW (Table 2). China leads global adoption, accounting for roughly 91% of this estimated total. The U.S. represents 8.4%, while Europe accounts for the remainder (Masson et al., 2024; Solar Power Europe, 2024b; Zhang & Ma, 2026).
Table 2. Current adoption level (2023).
Unit: MW installed capacity
| Estimate | 140,000 |
We estimated this global capacity by aggregating data from industry reports, journal papers, and public datasets across these three regions. However, tracking remains challenging because agrivoltaics deployment estimates partially overlap with utility-scale and distributed solar PV totals. Existing databases often count dual-use projects within broader solar capacity figures, particularly when configurations resemble conventional solar PV systems (Daniels, 2023; Smith, 2024; Sorensen et al., 2022; Trommsdorff et al., 2025). The precise degree of overlap cannot yet be quantified, but developers increasingly adopt dual-use designs to minimize land-use conflict (Campana et al., 2025; Masson et al., 2024; Trommsdorff et al., 2025). While agrivoltaics adoption is present in other regions (e.g., Japan, South Korea, and India), consistent and credible datasets to estimate accurate current adoption and growth trends are limited. Consequently, this estimate likely underestimates current global adoption.
We estimated the median global adoption trend for agrivoltaics at 9,800 MW/yr of additional installed capacity (Table 3) by summing regional adoption values for each year from 2010–2023 and taking the year-to-year difference. Because this analysis relied primarily on data from China and the U.S., the results reflect a geographic distribution skewed toward these leading markets.
Table 3. Adoption trend (2010–2023).
Unit: MW installed capacity/yr
| 25th percentile | 2300 |
| Mean | 9400 |
| Median (50th percentile) | 9800 |
| 75th percentile | 15000 |
Estimated global agrivoltaics capacity grew roughly 200-fold from 580 MW in 2010 to approximately 140,000 MW in 2023 (Figure 2). While agrivoltaics adoption is still in its early stages – with global installed capacity roughly five times lower than distributed solar PV and seven times lower than utility-scale solar PV – growth is expected to accelerate. Supportive policies in pioneer regions such as Europe, China, Japan, and Korea have driven recent expansion. These policies address both the need for clean energy and the rising climate stresses on farmlands, including heat and drought (Trommsdorff et al., 2025).
Figure 2. Estimated global adoption of agrivoltaics, 2010–2023.
Sources: Zhang & Ma, 2026; Agrivoltaics Map, n.d.
Market momentum has also strengthened over the past decade. From 2010–2015, global agrivoltaics added an average of about 4,100 MW/yr. Post 2015, that rate jumped to around 14,000 MW/yr, fueled by targeted incentives. For instance, agrivoltaics capacity in the United States. more than doubled from 2020–2024 (National Laboratory of the Rockies [NLR], 2024). In Italy, the government launched a competitive bidding process in 2023 to award contracts and funding for 500 MW of agrivoltaics projects (Masson et al., 2024); the country aims to reach 1,000 MW of capacity by 2026 (United Nations Conference on Trade and Development [UNCTAD], 2023). We expect that continued cost declines of elevated structures and bifacial modules and improved profitability (Pandey et al., 2025; Keiner et al., 2025) will drive future adoption.
We estimated the median technical potential for agrivoltaics to arrive at an adoption ceiling of 250 million MW of installed capacity (Table 4). We determined the adoption ceiling for agrivoltaics by considering the global technical potential of solar PV and the availability of cropland or grazing land suited to shading (Yeligeti et al., 2023).
Table 4. Adoption ceiling.
Unit: MW installed capacity
| 25th percentile | 230,000,000 |
| Mean | 250,000,000 |
| Median (50th percentile) | 250,000,000 |
| 75th percentile | 270,000,000 |
Cropland accounts for only one-third of total agricultural land (Food and Agricultural Organization [FAO], 2023) and global estimates for agrivoltaics across cropland vary depending on assumptions about crop suitability, panel density, and grid access. A global suitability assessment of 18 major crops found approximately 4.64 million km² (464 million ha) of cropland suitable for agrivoltaics in an optimistic scenario, corresponding to a maximum installable capacity of around 217 million MW (Yeligeti et al., 2023). This technological ceiling aligns closely with the analysis of Campana et al. (2025), which projects annual electricity output of 385 PWh (≈ 284 million MW/yr). These optimistic figures assume favorable policy environments, technological advancement in panel design, financing, grid proximity and availability, and adoption of shade-tolerant crop varieties.
Despite the abundant 1.6 billion ha of global arable land (Chirinda et al., 2024), the adoption ceiling is unlikely to be reached due to other constraints (Yeligeti et al., 2023). Considerations for technoeconomic, political, and social effects, including land use changes, economic value of land, and shading effect, determine the actual upper limit for adoption.
In the low achievable scenario, agrivoltaics is projected to grow more than 20-fold, from 140,000 MW in 2023 to 2.5 million MW in 2050 (Table 5). This scenario accounts for real-world constraints, including fragmented land tenure, uneven grid access, regulatory barriers, and high up-front costs.
Table 5. Range of achievable adoption levels.
Unit: MW installed capacity
| Current adoption | 140,000 |
| Achievable – low | 2,500,000 |
| Achievable – high | 5,600,000 |
| Adoption ceiling | 250,000,000 |
In the high achievable scenario, agrivoltaics is projected to grow more than 40-fold, from 140,000 MW in 2023 to 5.6 million MW in 2050 (Table 5). This scenario assumes the continuation of supportive government policies, with adoption primarily constrained by transmission availability.
We estimated the achievable adoption ranges from scenarios reflecting technical limits (Campana et al., 2025; Yeligeti et al., 2023). These scenarios combine crop suitability and geospatial analysis to estimate annual potential electricity supply from agrivoltaics, constrained by electricity infrastructure. We then applied a mean scaling factor of 9.2% from previous work (Beck et al., 2012; Christ & Wagner, 2025; Trommsdorff et al., 2024) to convert these potential estimates to realizable scenarios. This scaling aligns with historical patterns and complementary international assessments.
Our low and high achievable scenarios fall within the observed market trends, reflecting a still nascent industry with significant but unevenly distributed growth potential.
Beyond the technical and financial considerations, achievable adoption is shaped and often superseded by non-quantitative social forces, where cultural norms, agricultural heritage, and local traditions fundamentally shape stakeholder acceptance (Asa’a et al., 2024; Walsh et al., 2026). Rural residents can perceive solar infrastructure as an industrial intrusion that is incompatible with the pastoral identity and landscape ideology of their communities (de Falco et al., 2025; Mahim et al., 2026; Morash & Pavao-Zuckerman, 2026; Swanson et al., 2025;). If agrivoltaics is framed merely as a technological fix without regard for these cultural values, it can lead to a social gap where broad societal approval for renewables fails to translate into local project success (Pascaris et al., 2021; Walsh et al., 2026).
The achievable adoption range of 2.5–5.6 million MW represents approximately 1–2.3% of the adoption ceiling of 250 million MW. The current adoption is roughly 0.06% of that ceiling.
The current estimated climate impact of agrivoltaics is approximately 0.1 Gt CO₂‑eq/yr of reduced emissions (Table 6), based on 140,000 MW of global installed capacity and effectiveness of 720 t CO₂‑eq /MW/yr.
Table 6. Climate impact at different levels of adoption.
Unit: Gt CO₂‑eq/yr, 100-yr basis
| Current adoption | 0.1 |
| Achievable – low | 1.80 |
| Achievable – high | 4.10 |
| Adoption ceiling | 180 |
Under the low achievable adoption scenario (2.5 million MW), annual emissions reductions could grow to about 1.8 Gt CO₂‑eq/yr.
In the high achievable scenario (5.6 million MW), reductions could reach approximately 4.1 Gt CO₂‑eq/yr.
We based the adoption ceiling solely on the technical potential of agrivoltaics, while neglecting social and economic constraints and realistic scenarios of future power demand. The electricity sector in 2023 emitted 15.6 Gt CO₂ ‑eq (International Energy Agency [IEA], 2024b); therefore, even if agrivoltaics could meet all current electricity demand, emissions reductions could not surpass this value without increased demand. Consequently, agrivoltaic systems are unlikely to reach 250 million MW of installed capacity in the next 100 years. But if current grid emissions were to remain constant while capacity increases, GHG emission reductions would be approximately 180 Gt CO₂ ‑eq/yr. This maximum is unrealistic as a forward-looking climate impact because it treats grid carbon intensity as permanently fixed at 2023 levels and ignores future decarbonization and corresponding decreases in marginal avoided emissions. Real-world climate impacts will depend on not only grid decarbonization and policy support, but also on system design choices and regional agricultural contexts.
By using only 1% of global agricultural land, agrivoltaics could offset 21 PWh/yr of electricity demand, equivalent to global electricity consumption in 2019 (Adeh et al., 2019). Even as demand grows, reaching ~29 PWh in 2023 (Ember, n.d.), the opportunity remains massive.
Daytime air temperatures surrounding agrivoltaics are lower than traditional utility PV systems that are usually installed over gravel (Pandey et al., 2025). This cooling effect is mostly attributed to evapotranspiration from the crops underneath PV panels (Barron-Gafford et al., 2019).
Agrivoltaics can diversify income sources for farmers (Campana et al., 2025) by allowing them to export excess power to the grid to generate revenue (Dinesh & Pearce, 2016; Trommsdorff et al., 2025). PV revenue often outweighs revenue from agriculture (Malu et al., 2017; Lytle et al., 2021). Because agrivoltaics are more expensive to install than traditional PV systems, they are often installed at larger scales on larger farms (Campana et al., 2025). In these cases, the income and revenue benefits may be shared between the farmer and a third-party investor.
New roles in installation, maintenance, and agrivoltaics management also create rural employment opportunities, particularly in regions where energy poverty and food insecurity overlap (Chirinda et al., 2024).
Because agrivoltaics lower daytime temperatures, they can increase yields of crops that are sensitive to high temperatures, such as fruits and seed-bearing vegetables (Scarano et al., 2025). This is especially pertinent to drought-prone areas, where agrivoltaics have been shown to increase crop yields in water-stressed systems. For example, a study of crop yields in semi-arid southwestern United States found that yields of peppers and cherry tomatoes were double in agrivoltaic systems relative to those under traditional agriculture (Barron-Gafford, 2019). In addition to shade, agrivoltaic systems can protect crops from weather events such as hail and wind (Pandey et al., 2025). Agrivoltaic fields can also be used for livestock grazing, such as cattle and sheep, maintaining meat and dairy production on solar land while panel shading relieves animal heat stress and improves forage digestibility (Andrew et al., 2021).
The efficiency of PV panels starts to decrease as cell temperatures rise above 25 °C (Chirinda et al., 2024). The cooler temperatures surrounding agrivoltaic systems can increase electricity production per panel (Adeh et al., 2019). In many environments, vegetation below the PV panels provides a cooling effect that boosts annual electricity output by 1–3% (Barron-Gafford et al., 2019).
Solar PV reduces the emission of pollutants such as nitrogen oxides, sulfur dioxide, and PM2.5 from fossil-fuel energy generation (Abel et al., 2018; Millstein et al., 2024; Millstein et al., 2017; Wiser et al., 2016). This offers health benefits, including reduced premature mortality. The magnitude and distribution of these benefits depend on the local electricity grid mix, the fuels used to generate electricity, and atmospheric conditions that determine how far pollutants travel (Buonocore et al., 2019). Regions with a higher proportion of coal-powered electricity generation will often see more health benefits (Buonocore et al., 2019). Pollutants can travel long distances after they are emitted, so air pollution benefits can be widespread (Millstein et al., 2024).
These health benefits often translate into cost savings associated with reductions in hospital admissions, improved respiratory and cardiovascular conditions, and work and school days that might have otherwise been missed due to illness (Millstein et al., 2017; Wiser et al., 2016).
Agrivoltaic systems that integrate pollinator-friendly habitats can increase pollination and may even increase crop yields in surrounding farmland (Macknick 2022; Walston et al., 2018).
Shade from the panels can relieve heat stress for livestock when temperatures are high (Maia et al., 2020; Carvalho Fonsêca et al., 2023)
Agrivoltaics can help avoid land use conflicts because the PV panels are placed on land already used for agriculture (Swanson et a., 2025).
Agrivoltaics may reduce water use up to 50% compared to traditional agricultural systems (Scarano et al., 2025). Reduced solar radiation from shading can reduce soil evaporation rates and enhance water savings for crops (Amaducci et al., 2018). Additionally, water used to clean panels and suppress dust can be reused for irrigation (Patel et al., 2019 ).
For air quality benefits, please refer to the “health” section.
Large-scale rollout of agrivoltaics carries several risks. Rapid deployment without adequate storage, grid flexibility, or transmission can elevate curtailment rates. This undermines financial returns and emissions reductions, creating financial risks from high solar deployment and integration (Firoozi et al., 2025; Zubi et al., 2024). Higher up-front capital requirements also expose farmers and developers to revenue risk if crop yields decrease or electricity prices fluctuate (Campana et al., 2025). These financial risks can be mitigated with policy levers, including carbon taxes, though different levers are needed at different adoption levels (Brown & Reichenberg, 2021).
Lack of regulatory clarity regarding dual-use land may stall adoption (Campana et al., 2025). This lack of legal status often leads to reclassification of agricultural land to energy or industrial use, creating ambiguity over property-tax rates and potentially triggering farmland occupation taxes (Chirinda et al., 2024). Furthermore, reclassification can result in the loss of agricultural subsidies, such as the European Union’s Common Agricultural Policy (CAP) payments, and jeopardize eligibility for crop insurance programs (Smith, 2024; Trommsdorff et al., 2025). Without a clear regulatory framework to differentiate agrivoltaics from standard ground-mounted solar, conflicting goals between energy and agricultural ministries can cause substantial administrative delays and financial uncertainty (Chirinda et al., 2024).
Agricultural and environmental risks include soil compaction from construction and machinery traffic, reducing infiltration, root growth, and long-term soil fertility. This effect is amplified where heavy equipment must navigate under elevated panels (Campana et al., 2025; Chirinda et al., 2024). Poorly managed end-of-life PV components also risk chemical pollution (Chirinda et al., 2024).
Finally, social and distributive justice risks can impede adoption. Visual landscape impacts and inequitable benefit-sharing between energy developers and tenant farmers can spark opposition and erode community support. The potential displacement of tenant farmers is a major socioeconomic risk (Campana et al., 2025; Chirinda et al., 2024). Because solar developers offer lease rates that significantly outbid traditional agricultural rents, landowners are increasingly incentivized to prioritize energy production over farming (Morash & Pavao-Zuckerman, 2026 Sorensen et al., 2022; Swanson et al., 2025). Furthermore, high solar leases can drive up overall land prices, making it difficult for new or disadvantaged farmers to access land (Morash & Pavao-Zuckerman, 2026). Without inclusive participatory processes and clear land use agreements, agrivoltaics expansion risks eroding social cohesion and economic viability of the farming communities it is intended to sustain (Campana et al., 2025; Trommsdorff et al., 2025). Ensuring that projects reflect local values, such as community stewardship over simple ownership, is crucial to mitigating the risk of eroding social cohesion of agricultural communities (Seay-Fleming et al., 2025; Trommsdorff et al., 2025).
The microclimate effects of agrivoltaics can reduce the volume of water required to achieve equivalent crop yields, amplifying the impact of farm-level irrigation efficiency improvements. Electricity generated by solar PV can power irrigation pumps.
By reducing evapotranspiration and moderating temperate and water stress on crops, agrivoltaic systems can reduce agricultural water demand. In water-stressed and arid regions, this interaction can improve food system resilience.
Increased availability of renewable energy from agrivoltaics helps reduce emissions from the electricity grid as a whole. Reduced emissions from the electricity grid lead to lower downstream emissions for solutions that rely on electricity use. Deploying agrivoltaics also supports increased integration of wind power technologies by diversifying the renewable energy mix and reducing exposure to wind variability.
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 solar energy through controlled-time charging and other load-shifting technologies.
Since wind and solar can generate electricity at the same times of day, deploying agrivoltaics could create competition for grid connections, lower daytime electricity revenues, and suppress adoption of additional wind power.
Use of agricultural land for dedicated bioenergy crop production represents a competing land use, albeit agrivoltaics may offer higher combined energy and food productivity per hectare.
Widespread agrivoltaic deployment on high irradiance agricultural land could reduce the land base available for utility-scale concentrated solar in regions where both are technically viable, albeit the two solutions target different land type and scales.
MW installed capacity
CO₂ , CH₄, N₂O
Agrivoltaics may involve an inherent trade-off between agricultural productivity and energy conversion efficiency. Well-sited and properly designed systems typically cause no significant declines in agricultural productivity and can even stabilize or increase biomass production in certain conditions (Pandey et al., 2025). Poorly designed systems, however, can underperform both stand-alone agriculture and stand-alone PV on key sustainability metrics (Campana et al., 2025; Trommsdorff et al., 2025).
Elevated panels require extra steel and aluminum, increasing embodied emissions by roughly 20% compared with utility-scale solar PV (Busch & Wydra, 2023). These embodied emissions are modest, up to 100 times lower than the operational savings from displacing fossil fuel–based electricity (Pandey et al., 2025).
The net climate benefit is greatest in carbon-intensive grids. It diminishes, however, where grid decarbonization is already rapid or where yield losses on prime farmland shift food production to other land, triggering indirect land use change emissions (Agostini et al., 2021; Campana et al., 2025). Water-use efficiency and microclimate cooling can partially offset yield penalties in hot, dry climates, but gains may be small or negative in temperate or wet climates (Campana et al., 2025; Pandey et al., 2025). Overall benefits depend on careful siting, crop selection, and policies that offset higher installation costs while avoiding land-use competition.
Consensus of overall effectiveness of agrivoltaics: High
A wide range of peer-reviewed studies, meta-analyses, and life-cycle assessments provide strong evidence that agrivoltaics reduce GHG emissions. International organizations such as the Intergovernmental Panel on Climate Change (IPCC) and IEA identify rapid solar PV deployment as a critical component in mitigation pathways and net-zero scenarios. Life-cycle assessments show that, despite 20% higher embodied emissions from elevated structures compared with conventional solar PV, agrivoltaic systems deliver significant net emissions reductions by displacing fossil generation while maintaining agricultural output on the same footprint (Agostini et al., 2021; Barron-Gafford et al., 2019; Campana et al., 2025).
There is sufficient evidence that well-sited agrivoltaic systems increase land-use efficiency, and can provide additional benefits including reduced water stress, avoided land-use conflict, and improved solar PV performance in suitable climates (Barron-Gafford et al., 2019; Campana et al., 2025; Dupraz et al., 2011; Trommsdorff et al., 2025). Meta-analyses show manageable yield responses for shade-tolerant or neutral crops, especially in arid and semi-arid regions (Chirinda et al., 2024; Mamun et al., 2022); however yields for shade-intolerant crops or in temperate and humid climates are less consistent. Higher capital costs, site-specific challenges, and limited long-term data beyond two to three growing seasons create economic uncertainty.
Consensus is mixed regarding net emissions savings of solar PV, given the diurnal nature of solar energy and the need for storage or other energy resources to meet peak evening demand. There is also a lack of global scientific or regulatory consensus regarding the definition of agrivoltaics, with qualification thresholds for which agricultural activities and what level of activity constitutes dual-use land varying substantially across jurisdictions (Trommsdorff et al., 2025).
This summary draws from 5 reviews and meta-analyses, 25 institutional reports, 6 market reports, and 32 original studies covering more than 25 countries, with strongest evidence from Europe, North America, East Asia, and select arid regions. We recognize this limited geographic scope creates bias toward higher-income and temperate-to-arid settings. Further research and data sharing in underrepresented low-income regions is required, where land, water, and energy pressures makes agrivoltaic systems potentially most impactful.
Micro wind turbines harness natural wind to generate electricity. They can operate independently or be connected to a centralized electricity grid, and are useful for small-scale commercial, agricultural, and residential applications. Advantages include reducing reliance on fossil fuels for electricity generation, potential expansion of electrification to rural areas, and improvement in energy equity and independence worldwide. Disadvantages include unpredictable and unreliable electricity generation (especially in urban locations), high cost, and noise pollution. Based on our assessment, we will “Keep Watching” this potential solution.
Based on our analysis, micro wind turbines (MWTs) are a promising technology for reducing emissions, but given the limited potential for global adoption and variable financial viability, they do not meet our threshold for global climate solutions (<0.1 Gt CO₂‑eq/yr ). Despite the low climate impact and high costs, Deploy Micro Wind Turbines is an important solution for achieving energy equity. Based on our assessment, we will “Keep Watching” this potential solution.
| Plausible | Could it work? | Yes |
|---|---|---|
| Ready | Is it ready? | Yes |
| Evidence | Are there data to evaluate it? | Yes |
| Effective | Does it consistently work? | Yes |
| Impact | Is it big enough to matter? | No |
| Risk | Is it risky or harmful? | No |
| Cost | Is it cheap? | No |
MWTs are small-scale turbines that rely on natural wind to generate electricity, charge batteries, or power equipment. Specific definitions for MWTs vary from country to country. Our analysis assessed energy production and GHG emissions reduction potential for wind turbines rated to generate a maximum of 100 kW of electrical power. MWTs are actively used for a variety of applications, including telecommunications, lighting, and agriculture. The total installed capacity for MWTs globally as of 2023 is nearly 1.8 GW or 0.002% of utility-scale onshore wind capacity. MWTs are most commonly used in rural settings.
When connected to a regional or national electricity grid, MWTs can reduce baseline electricity grid emissions by reducing reliance on fossil fuel energy sources. Off-grid MWTs, which accounted for more than 90% of commercial sales in 2019, help electrify industrial and agricultural processes that otherwise may have been powered by fossil fuels, such as diesel or natural gas. Energy production from MWTs is highly dependent on the availability of consistent wind speeds, with the majority of turbines requiring an average wind speed of around 5 m/s to generate electricity. As long as sufficient wind resources are available, MWTs are effective at producing electricity to meet local energy demand and reduce reliance on fossil fuels.
MWTs reduce reliance on fossil fuels for electricity generation, whether they are connected to an electric grid or isolated for local energy use. For grid-connected systems, more available renewable energy sources reduce the need for fossil fuel–based energy generation to meet demand. MWTs isolated from the electricity grid still reduce the local carbon footprint of a household, farm, or commercial building. Globally, the average household consumes approximately 17,000 kWh of electricity annually. Depending on the size of the turbine, local wind energy can produce 1,000–20,000 kWh/yr. Fluctuations in wind speed throughout the day and year can lead to unreliable power output, but this risk can be reduced by integrating batteries or hybrid electricity generation systems, such as combining wind and solar photovoltaics (PV). In addition to emissions reduction, MWTs are crucial tools for expanding electricity access worldwide. Since MWTs can operate independently of an electric grid, they can electrify rural areas where transmission lines are nonexistent or challenging to install. For example, many populations in Africa live in remote areas that could be well-served by installing MWTs to power telecommunications and other local electrification needs. Increasing interest in smart energy systems and Internet of Things technologies presents promising future applications for MWTs.
While MWTs show potential for expanding electrification, they have a number of limitations compared to other small-scale renewable energy technologies, like solar photovoltaics. First, real-world performance due to wind speed variability and turbulence at installation sites can be unpredictable and is often substantially lower than manufacturers’ power ratings. Second, life-cycle emissions from manufacturing and installation can be more than five times higher for small-scale wind than for large, multi-MW turbines. Energy payback times – the time period for the MWT to generate enough clean energy to offset the energy used during manufacturing and installation – can be long, sometimes exceeding the 20– to 25-year lifetime of the turbine. Third, MWTs are expensive, with up-front costs ranging from approximately US$3,000/kW to more than US$10,000/kW. Even after including financial incentives to partially offset high upfront costs, the levelized cost of electricity (LCOE) for residential MWTs in the United States was estimated at US$0.28/kWh. Not only was this higher than average U.S. residential electricity rates (US$0.1–0.24/kWh), but it was also more than double the LCOE for residential solar PV (US$0.12/kWh). Finally, noise pollution and vibration are environmental concerns for the wide-scale adoption of MWTs in urban areas. In addition, MWT performance can be poor in urban and suburban areas because buildings and other obstacles disrupt airflow. There is a general consensus in the scientific community and commercial market that MWTs are worthwhile electricity sources for many agricultural and industrial applications where cost is less prohibitive, but they remain a niche technology due to uncertain global economic viability and lack of reliable power generation in suburban and urban areas.
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