Use Smart & Programmable Thermostats

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Summary

We define Use Smart & Programmable Thermostats as reducing energy use and associated GHG emissions from heating and cooling by automatically making adjustments to the set temperature of a residential building. Smart thermostats can be remotely controlled and can adjust indoor temperature settings in response to learned occupancy patterns, while programmable thermostats require a user to manually program a temperature schedule.

Description for Social and Search
Using smart or programmable thermostats to regularly adjust residential temperature settings for energy savings also reduces the emissions from heating and cooling residential buildings.
Overview

Residential buildings directly and indirectly generate GHG emissions through the fuels and electricity used for heating, cooling, and other functions. These emissions accounted for 12.5% of global emissions in 2021 (Ge et al., 2026). Heating is the largest residential source of operational emissions, with cooling being another major contributor (Energy Transitions Commission, 2025).

Smart and programmable thermostats reduce energy use by allowing temperatures to drift when occupants are away or asleep and restoring optimal temperatures in anticipation of occupants returning or waking. Since heating systems often rely on burning fossil fuels for heat (International Energy Agency [IEA], 2023), the emissions affected are primarily CO₂. Similarly, the emissions affected when cooling demands are reduced are primarily CO₂ from the electricity generated to power heat pumps and air conditioners. 

The amount of CO₂ saved with smart and programmable thermostats can vary substantially with occupant behavior, set points, occupancy levels, and climate (Pritoni et al., 2015; Stopps & Touchie, 2021). We used the minimum performance standard for Energy Star–certified smart thermostats, namely 8% run-time reduction for heating and 10% for cooling (Energy Star, n.d.), with run time being used as a proxy for energy savings. This is a conservative value; many studies have measured or modeled higher savings (Alhamayani et al., 2021; Pang et al., 2021). 

Owning a smart or programmable thermostat does not guarantee it will be used to adjust temperatures to save energy (Pritoni et al., 2015; Stopps & Touchie, 2021). For example, while 53% of U.S. homes own a smart or programmable thermostat, only 16% report using a smart or programmable thermostat to automatically adjust temperatures (U.S. Energy Information Administration [U.S. EIA], 2023a). We also assumed that households that do not have a smart or programmable thermostat are not manually adjusting temperatures to save energy. 

As societies electrify, smart and programmable thermostats may play an increasingly important role in shifting demand away from grid peak periods (Stopps & Touchie, 2022). This can reduce emissions even further because grids often depend more on fossil fuel peaker plants during these times. This analysis does not include such emissions reductions. 

Solution in Action

References

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Kini, R. L., Vlachokostas, A., Brambley, M. R., & Rogers, A. (2025). Occupant-centric demand response for thermostatically-controlled home loads. IEEE Transactions on Smart Grid16(3), 2234–2245. Link to source: http://doi.org/10.1109/TSG.2025.3540427  

Lee, Z. E., & Max Zhang, K. (2022). Unintended consequences of smart thermostats in the transition to electrified heating. Applied Energy322, Article 119384. Link to source: https://doi.org/10.1016/j.apenergy.2022.119384  

Lee, Z. E., Sun, Q., Ma, Z., Wang, J., MacDonald, J. S., & Max Zhang, K. (2020). Providing grid services with heat pumps: A review. ASME Journal of Engineering for Sustainable Buildings and Cities1(1), Article 011007. Link to source: https://doi.org/10.1115/1.4045819  

Lu, J., Sookoor, T., Srinivasan, V., Gao, G., Holben, B., Stankovic, J., Field, E., & Whitehouse, K. (2010). The smart thermostat: Using occupancy sensors to save energy in homes. Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems, SenSys ’10, 211–224. Link to source: https://doi.org/10.1145/1869983.1870005

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Pang, Z., Chen, Y., Zhang, J., O’Neill, Z., Cheng, H., & Dong, B. (2021). How much HVAC energy could be saved from the occupant-centric smart home thermostat: A nationwide simulation study. Applied Energy283, Article 116251. Link to source: https://doi.org/10.1016/j.apenergy.2020.116251  

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Pritoni, M., Meier, A. K., Aragon, C., Perry, D., & Peffer, T. (2015). Energy efficiency and the misuse of programmable thermostats: The effectiveness of crowdsourcing for understanding household behavior. Energy Research & Social Science8, 190–197. Link to source: https://doi.org/10.1016/j.erss.2015.06.002  

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Stopps, H., & Touchie, M. F. (2022). Load shifting and energy conservation using smart thermostats in contemporary high-rise residential buildings: Estimation of runtime changes using field data. Energy and Buildings255, Article 111644. Link to source: https://doi.org/10.1016/j.enbuild.2021.111644  

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U.S. Energy Information Administration. (2018a). Table HC6.1 Space heating in U.S. homes, by housing unit type, 2015 [Data set]. Link to source: https://www.eia.gov/consumption/residential/data/2015/  

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Credits

Lead Fellow

  • Heather McDiarmid, Ph.D

Contributors

  • Ruthie Burrows, Ph.D.

  • James Gerber, Ph.D.

  • Daniel Jasper

  • Alex Sweeney

Internal Reviewers

  • Henry Igugu, Ph.D.

  • Amanda D. Smith, Ph.D.

  • Christina Swanson, Ph.D.

Effectiveness

For heating, 0.23 t CO₂‑eq/yr (20- and 100-yr basis) is reduced for every smart or programmable thermostat in use (Table 1a). This is a weighted global average based on the proportion of homes that use different sources of energy for space heating and assumes an 8% reduction in heating energy with a smart or programmable thermostat (Energy Star, n.d.). 

For cooling, 0.091 t CO₂‑eq/yr is reduced for every smart or programmable thermostat in use (100-year basis, 0.092 t CO₂‑eq/yr on a 20-yr basis) (Table 1b). This is a weighted global average based on regional electricity demand for space cooling and regional electricity grid emission factors. The analysis assumes a 10% reduction in cooling energy with a smart or programmable thermostat (Energy Star, n.d.).

The effectiveness of smart or programmable thermostats at reducing emissions will vary based on total heating and cooling demand. This is a function of climate and building performance as well as occupant behaviors (Hendron et al., 2021). Occupants may, for example, differ in how much they allow temperatures to drift while away or at night, how frequently overrides are used, and the schedules on which programming is based (Hendron et al., 2021).

Table 1. Effectiveness at reducing emissions from heating and cooling.

Unit: t CO₂‑eq /smart or programmable thermostat used to save energy for heating/yr, 100-yr basis

Mean 0.23

Unit: t CO₂‑eq )/smart or programmable thermostat used to save energy on cooling/yr, 100-yr basis

Mean 0.091
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Cost

A smart or programmable thermostat for heating will save an average household US$370/t CO₂‑eq reduced (Table 2a). A smart or programmable thermostat for heating has an average initial cost of US$74, and households that adopt and use these thermostats to save on energy will spend on average US$89 less per year on heating. Assuming a 15-year lifespan (EGIA Contractor University, 2025), this results in a net US$84/yr savings.

We assumed that half of adopting households worldwide purchase a smart or programmable thermostat to use in their homes and the other half already own a smart or programmable thermostat and start using them to save energy with programmed setbacks. This is consistent with US statistics that show 55% of households with heating have a smart or programmable thermostat but only 16% use one to adjust heating temperatures, with most using one set temperature most of the time (U.S. EIA, 2023a). 

A smart or programmable thermostat for cooling will save a household US$230/t CO₂‑eq reduced (see Table 2a). The average initial cost for a smart or programmable thermostat for cooling is US$58, and will save a household an average of US$25/yr on cooling. Assuming a 15-year lifespan, this results in a net US$21/yr savings for the household.

For cooling, the initial cost assumes one-third of homes purchase a smart or programmable thermostat for a central air conditioning system, one-third purchase such a thermostat for a window or portable air conditioner, and one third use an existing smart or programmable thermostat but change behaviors to start using the programming feature. Similar to heating, 60% of U.S. households with cooling have a smart or programmable thermostat but only 15% use one to adjust cooling temperatures (U.S. EIA, 2023b). 

Table 2. Cost per unit climate impact for heating and cooling. Negative values reflect cost savings.

Unit: 2023 US$/t CO₂‑eq , 100-year basis

Mean -370

Unit: 2023 US$/t CO₂‑eq , 100-year basis

Mean -230
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Learning Curve

Insufficient data exist to quantify the learning curve for smart or programmable thermostats. 

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.

Use Smart & Programmable Thermostats is a GRADUAL climate solution. It has a steady, linear impact on the atmosphere. 

Caveats

Smart or programmable thermostats may be more difficult to implement in multiunit residential buildings with centralized heating and cooling systems in which units do not have temperature control (Fine & Touchie, 2020). Additionally, some existing space heating systems such as fireplaces and wood stoves may not be compatible with programmable thermostats. 

The Government of Canada (2025) recommends minimizing temperature setbacks for heat pumps or programming the return to normal temperatures in stages to avoid triggering the use of less efficient backup heating systems. 

This solution depends on households programming their thermostat or directing a smart thermostat to save energy. As with any outcome that depends on behavior change, post-intervention persistence can decay over time (Allcott & Rogers, 2014). Comfort concerns, changes to schedules, low perceived benefits, and lack of perceived control over heating and cooling systems are common reasons why households inactivate thermostat programming (Heatherly et al., 2023; Peffer et al., 2013; Pritoni et al., 2015; Stopps & Touchie, 2021). 

Some studies show little to no change in energy use with programmable thermostats, particularly if the thermostats are not easy to use (Peffer et al., 2013). Energy savings setbacks are more likely to be used with smart thermostats than programmable ones (Stopps & Touchie, 2021; Tamas et al., 2021), likely because of improved ease of use and increased automation. 

Use of smart and programmable thermostats reduces the emissions from operating buildings. However, these reductions pale in comparison to those offered by heat pumps and decarbonizing the electricity sector by adopting solutions such as distributed solar PVutility-scale solar PVonshore wind, and offshore wind.

Current Adoption

We estimated that 140 million households worldwide use smart or programmable thermostats to save energy for heating (Table 3a) and 30 million use them to save energy for cooling (Table 3b). 

The climate impact of this solution depends on households not only adopting the technology, but also using it to regularly adjust temperatures with the goal of saving energy. Where only adoption values exist, we assumed use patterns are similar to those in the United States, where 25–29% households that own a smart or programmable thermostat are using the programming feature (U.S. EIA, 2023a; U.S. EIA, 2023b).

For adoption, we estimated the number of households with smart or programmable thermostats in high-income countries separately from low- and middle-income countries and combined them to get a global total. In each case, we applied the average smart or programmable thermostat use rate for the group of countries to their estimated number of households that require heating or cooling. 

These estimates are based on data from seven studies covering different geographies and spanning 2017–2025. 

Table 3. Current adoption level (2025).

Unit: smart or programmable thermostats used for the purposes of saving energy on heating 

Total 140,000,000

Unit: smart or programmable thermostats used for the purposes of saving energy on cooling

Total 30,000,000
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Adoption Trend

We estimate that globally, each year 1.4 million households start using smart or programmable thermostats to save on heating (Table 4a) and 0.60 million households start using them to save on cooling (Table 4b).

These data are based on surveys for heating and cooling covering 2015–2020 in the United States (U.S. EIA 2018b, 2018a, 2023b, 2023a) and 2007–2023 in Canada (Statistics Canada, 2025). Due to lack of data, we were not able to estimate adoption trends for low- and middle-income countries, and assumed the trend is negligible. 

Table 4. Current adoption trend (2007–2023).

Unit: smart or programmable thermostats put to use for saving energy on heating/yr 

Total 1,400,000

Unit: smart or programmable thermostats put to use for saving energy on cooling/yr

Total 600,000
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Adoption Ceiling

If every household that currently relies on heating were to adopt and use smart or programmable thermostats to save energy, the total adoption would be 650 million households (Table 5a). This is based on the IEA’s estimate that 40% of households worldwide require space heating (World Bank, n.d.), combined with regional population estimates (United Nations, 2024), and estimates for household sizes by region (Pew Research Center, 2019).

Similarly for cooling, if every household that currently uses air conditioning were to adopt and use smart or programmable thermostats to save energy, the total adoption would be 580 million households (Table 5b). This is based on Falchetta et al.’s (2024) estimate that 35% of households worldwide currently have space cooling, combined with population and household size estimates (Pew Research Center, 2019; United Nations, 2024). This analysis does not reflect anticipated growing demand for space cooling with rising populations, rising affluence in low- and middle-income countries, and rising temperatures (Falchetta et al., 2024).

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

Unit: smart or programmable thermostats put to use for saving energy on heating

Total 650,000,000

Unit: smart or programmable thermostats put to use for saving energy on cooling

Total 580,000,000
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Achievable Adoption

For heating, we estimate that use of smart or programmable thermostats to save on energy could reach 290 to 510 million households globally (Table 6a). In high income countries, this assumes 65–100% of households with heating needs adopt and use thermostats to save energy. At the low end, this represents the reported rate of regular setback use for heating homes in the state of New York (Lockheed Martin Energy, 2017), and we assume all heating households could program thermostats to save energy at the high end. In low and middle income countries, we assume 16–48% of households with heating needs adopt and use smart or programmable thermostats to save energy. This is based on today’s estimated smart and programmable thermostat adoption and use rate in the United States and Canada respectively (Statistics Canada, 2025; U.S. EIA, 2023a).

For cooling, we estimate that use of smart or programmable thermostats to save on energy could reach 190–510 million households globally (see Table 6b). In high income countries, this assumes 75–100% of households with cooling systems use thermostats to save energy for cooling. At the low end, this represents the reported rate of regular setback use for cooling homes in the state of New York (Lockheed Martin Energy, 2017) and we assume all households adopt and use smart or programmable thermostats at the high end. In low and middle income countries, we assume households adopt and use smart and programmable thermostats at a rate of 15 and 75%, representing the current rates for the United States and the state of New York, respectively (Lockheed Martin Energy, 2017; U.S. EIA, 2023a).

Table 6. Range of achievable adoption levels. 

Unit: smart or programmable thermostats put to use for saving energy on heating

Current adoption 140,000,000
Achievable – low 290,000,000
Achievable – high 510,000,000
Adoption ceiling 650,000,000

Unit: smart or programmable thermostats put to use for saving energy on cooling

Current adoption 30,000,000
Achievable – low 190,000,000
Achievable – high 510,000,000
Adoption ceiling 580,000,000
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For space heating, current adoption and use of a smart or programmable thermostat to save energy has an estimated climate impact of 0.033 Gt CO₂‑eq/yr globally (100- and 20-year basis; Table 7a). If all households with heating were to adopt and use these thermostats, the estimated climate impact would be 0.15 Gt CO₂‑eq/yr (100- and 20-year basis). We estimate the achievable range to be 0.065–0.12 Gt CO₂‑eq/yr (100- and 20-year basis). 

For space cooling, current adoption and use of a smart or programmable thermostat to save energy has an estimated climate impact of 0.0028 Gt CO₂‑eq/yr globally (100- and 20-year basis;Table 7a). If all households with heating were to adopt and use these thermostats, the estimated climate impact would be 0.052 Gt CO₂‑eq/yr (100-year basis) and 0.053 Gt CO₂‑eq/yr (20-year basis). We estimate the achievable range to be 0.017–0.46 Gt CO₂‑eq/yr (100-year basis) and 0.018–0.47 Gt CO₂‑eq/yr (20-year basis). 

The impact from heating is greater than the impact from cooling because there are more households that use heating and more energy is needed on average per household for heating. 

Table 7. Climate impact at different levels of adoption.

Unit: Gt CO₂‑eq )/yr for heating, 100-yr basis

Current adoption 0.033
Achievable – low 0.065
Achievable – high 0.12
Adoption ceiling 0.15

Unit: Gt CO₂‑eq/yr for cooling, 100-yr basis

Current adoption 0.0028
Achievable – low 0.017
Achievable – high 0.046
Adoption ceiling 0.052
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Additional Benefits

Income and Work

When used as intended, smart and programmable thermostats can save money by saving energy (Blonz et al., 2025; Lu et al., 2010; Wang et al., 2020). The cost savings can vary depending on the type of thermostat, fuel used for heating, geographic location, and sources of energy used to generate electricity. In our estimates, on average, households using smart or programmable thermostats could save US$84/yr on heating and US$21/yr on cooling (see Table 2a). Where time-of-use electricity pricing exists, smart and programmable thermostats can be used to heat or cool a home in advance of peak periods to save even more (Chassin et al., 2015). 

Health

A reduction in energy demand from smart thermostats may lower air pollution and limit exposure to pollutants such as lead and fine particulate matter generated by fossil fuel-based power plants, thereby improving health in nearby communities (Henneman et al., 2023; U.S. Environmental Protection Agency [U.S. EPA], 2024). 

Air Quality

Reducing energy use can reduce climate and air pollutants associated with burning fossil fuels, such as CO₂, nitrogen oxides, methane, lead, and fine particulate matter (U.S. EPA, 2024).

Risks

Smart and programmable thermostats have the potential to increase peak demand for electricity when programmed around common schedules. For example, thermostats may be programmed to raise temperatures in the early morning in winter when electricity grids are already strained (Lee & Max Zhang, 2022). Conversely, grid-integrated thermostats can reduce grid peaks by optimizing when heating or cooling occurs while maintaining occupant comfort (Kini et al., 2025).

Interactions with Other Solutions

Competing

There are diminishing returns as solutions that reduce heating and cooling loads are combined. When smart or programmable thermostats reduce the energy and emissions from heating and cooling, they also reduce the emissions savings these other solutions achieve. 

Consensus
Dashboard

Solution Basics

smart or programmable thermostat programmed to adjust temperatures

t CO₂-eq (100-yr)/unit/yr
0.23
units
Current 1.4×10⁸ 02.9×10¹⁰5.1×10⁸
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.033 0.0650.12
US$ per t CO₂-eq
-370
Gradual

CO₂ , CH₄, N₂O

Solution Basics

smart or programmable thermostat programmed to adjust temperatures

t CO₂-eq (100-yr)/unit/yr
0.091
units
Current 3.0×10⁷ 01.9×10⁸5.1×10⁸
Achievable (Low to High)

Climate Impact

Gt CO₂-eq (100-yr)/yr
Current 0.003 0.0170.046
US$ per t CO₂-eq
-230
Gradual

CO₂ , CH₄, N₂O

Trade-offs

When large numbers of households use smart or programmable thermostats to save energy, it can unintentionally cause spikes in electricity demand when heating systems are simultaneously turned on to return temperatures to normal (Lee & Max Zhang, 2022). These spikes can increase overall grid capacity needs and increase demand from fossil-fueled peaking generation. Grid-interactive smart thermostats can reduce these spikes through grid level energy management (Lee et al., 2020). 

Action Word
Use
Solution Title
Smart & Programmable Thermostats
Classification
Highly Recommended

Lawmakers and Policymakers

  • Offer one-stop educational resources for thermostats; offer demonstrations for installation and programming through online videos and in-person demos; clearly state benefits of smart and programmable thermostats, highlighting the cost savings, social benefits, and environmental impacts.
  • Set clear and measurable targets for building efficiency, emissions reduction, and deployment of smart and programmable thermostats.
  • Ensure public procurement standards require smart and programmable thermostats for new construction; require retrofits for existing public buildings.
  • Create regulatory standards and building codes that encourage, incentivize, and/or require the use of smart and programmable thermostats, especially in new construction.
  • Periodically update codes, policies, and public guidance to keep pace with adoption and technology advances.
  • Encourage utilities to incentivize smart and programmable thermostat uptake and use for demand management.
  • Consider offering subsidies that allow for flexible implementation or selective applicability within national systems; ensure subsidy programs are designed based on scientific evidence showing they will have a positive impact on adoption for the intended beneficiaries; target subsidies to low- and middle-income households and simultaneously offer incentives for broadband and digital connectivity; ensure financial incentives cover both new installations and retrofits.
  • Focus broader policies on energy efficiency through the use of intelligent control.
  • Create regulatory standards and building codes that encourage, incentivize, and/or require the use of smart and programmable thermostats, especially in new construction.

Practitioners

  • Offer one-stop educational resources for thermostats; offer demonstrations for installation and programming through online videos and in-person demos; clearly state benefits of smart and programmable thermostats highlighting the cost savings, social benefits, and environmental impacts.
  • Offer free or discounted thermostats in electrically heated homes and homes with cooling in exchange for control when the electricity grid is strained. 
  • Ensure customers know they can upgrade their thermostats; provide recommendations to customers on purchasing, installing, and using smart and programmable thermostats; inform customers of public or private incentives for purchases and/or installation; educate customers on the savings, social, and environmental benefits of installation. 
  • Develop or offer easy-to-use smart and programmable thermostat systems; provide scheduled maintenance services for customers; bundle services with heating and cooling system services when possible; ensure customers have the option to review products and services online.
  • Offer thermostats that are compatible with widely used electronic devices such as laptops and smart phones; incorporate Wi-Fi, bluetooth, and the Internet of Things into thermostats, allow for remote control and visibility via smartphone apps.
  • Provide 0% financing options for bundled services, including thermostats and/or related energy efficiency measures.
  • Ease the learning curve for customers by providing clear, concise instructions; ensure elderly customers are comfortable with using the thermostat before leaving after installation.
  • Use customer feedback and work with manufacturers to simplify interface designs and improve functionality. 
  • Advertise for smart and programmable thermostats depicting individual savings on heating and cooling; use social media to reach broader audiences.
  • Create algorithms that can save energy and money for consumers by responding to time of use, customer behavior, and current weather; ensure thermostats have the ability to be updated for future improvements to the software.
  • When installing a thermostat, ensure it is easily accessible and will not be obstructed.
  • Create or join green building certification schemes, green building councils, and/or public-private partnerships that offer information, training, and general support for smart and programmable thermostats.

Business Leaders

  • Help socialize the importance of smart and programmable thermostats by incorporating them into corporate net zero strategies; highlight the use of smart and programmable thermostats in public communications.
  • Invest in or offer grants to start-ups seeking to deploy smart and programmable thermostats; invest in research and development to determine optimal user interfaces and/or algorithms for smart and programmable thermostats.
  • Offer pro bono business advice to nonprofit organizations working to improve building efficiency and deploy smart and programmable thermostats.
  • Offer employees information or benefits for upgrading their thermostats at home.
  • Create or join green building certification schemes, green building councils, and/or public-private partnerships that offer information, training, and general support for smart and programmable thermostats.

Nonprofit Leaders

  • Offer one-stop educational resources for thermostats; offer demonstrations for installation and programming through online videos and in-person demos; clearly state benefits of smart and programmable thermostats highlighting the cost savings, social benefits, and environmental impacts.
  • Help policymakers set clear and measurable targets for building efficiency, emissions reduction, and the deployment of smart and programmable thermostats.
  • Advocate for and help design regulatory standards and building codes that encourage, incentivize, and/or require the use of smart and programmable thermostats, especially in new construction.
  • Assist regulators in periodically updating codes, policies, and public guidance to keep pace with adoption and technology advances.
  • Advocate for subsidies that allow for flexible implementation or selective applicability within national systems; help ensure subsidy programs are designed based on scientific-evidence showing they will have a positive impact on adoption for the intended beneficiaries; recommend that subsidies be targeted to low- and middle-income households and simultaneously offer incentives for broadband and digital connectivity; help ensure financial incentives cover both new installations and retrofits.
  • Help shift policy frameworks to focus on energy efficiency through the use of intelligent control.
  • Conduct research to improve adoption and use of smart and programmable thermostats, paying close attention to how user interfaces impact behavior.
  • Create or join green building certification schemes, green building councils, and/or public-private partnerships that offer information, training, and general support for smart and programmable thermostats.

Investors

  • Finance only new construction and retrofits that use smart or programmable thermostats as well as other energy-efficient heating and cooling technologies and practices.
  • Invest in research and development to improve smart and programmable thermostat design and user interface.
  • Invest in or offer grants to start-ups seeking to deploy smart and programmable thermostats.
  • Issue or buy green bonds to deploy capital to projects that use smart or programmable thermostats and integrate other energy-efficient heating and cooling technologies and practices.
  • Offer preferential loan agreements for developers using smart or programmable thermostats, energy efficient building practices, and other related climate solutions.
  • Create or join green building certification schemes, green building councils, and/or public-private partnerships that offer information, training, and general support for smart and programmable thermostats.

Philanthropists and International Aid Agencies

  • Offer one-stop educational resources for thermostats; offer demonstrations for installation and programming through online videos and in-person demos; clearly state benefits of smart and programmable thermostats, highlighting the cost savings, social benefits, and environmental impacts.
  • Offer grants or access to no-interest financing for retrofits and installations of smart and programmable thermostats; ensure financial support for projects involving building retrofits or new construction require the use of smart or programmable thermostats.
  • Offer grants of financing for research and development to improve smart and programmable thermostat design and user interface.
  • Invest in or offer grants to start-ups seeking to deploy smart or programmable thermostats.
  • Issue or buy green bonds to deploy capital to projects that use smart or programmable thermostats and integrate other energy-efficient heating and cooling technologies and practices.
  • Offer preferential loan agreements for developers using smart or programmable thermostats, energy efficient building practices, and other related climate solutions.
  • Help policymakers set clear and measurable targets for building efficiency, emissions reduction, and deployment of smart and programmable thermostats.
  • Advocate for and help design regulatory standards and building codes that encourage, incentivize, and/or require the use of smart and programmable thermostats, especially in new construction.
  • Help regulators periodically update codes, policies, and public guidance to keep pace with adoption and technology advances.
  • Advocate for subsidies that allow for flexible implementation or selective applicability within national systems; help ensure subsidy programs are designed based on scientific evidence showing they will have a positive impact on adoption for the intended beneficiaries; recommend that subsidies be targeted to low- and middle-income households and simultaneously offer incentives for broadband and digital connectivity; help ensure financial incentives cover both new installations and retrofits.
  • Help shift policy frameworks to focus on energy efficiency through the use of intelligent control.
  • Conduct research to improve adoption and use of smart and programmable thermostats, paying close attention to how user interfaces impact behavior.
  • Create or join green building certification schemes, green building councils, and/or public-private partnerships that offer information, training, and general support for smart and programmable thermostats.

Thought Leaders

  • Help create educational efforts and resources for smart and programmable thermostats; offer demonstrations for installation and programming through online videos and in-person demos; clearly state benefits of smart and programmable thermostats, highlighting the cost savings, social benefits, and environmental impacts.
  • Help policymakers set clear and measurable targets for building efficiency, emissions reduction, and deployment of smart and programmable thermostats.
  • Advocate for and help design regulatory standards and building codes that encourage, incentivize, and/or require the use of smart or programmable thermostats, especially in new construction.
  • Help regulators periodically update codes, policies, and public guidance to keep pace with adoption and technology advances.
  • Advocate for subsidies that allow for flexible implementation or selective applicability within national systems; help ensure subsidy programs are designed based on scientific evidence showing they will have a positive impact on adoption for the intended beneficiaries; recommend that subsidies be targeted to low- and middle-income households and simultaneously offer incentives for broadband and digital connectivity; help ensure financial incentives cover both new installations and retrofits.
  • Help shift policy frameworks to focus on energy efficiency through the use of intelligent control.
  • Conduct research to improve adoption and use of smart and programmable thermostats, paying close attention to how user interfaces impact behavior.
  • Create or join green building certification schemes, green building councils, and/or public-private partnerships that offer information, training, and general support for smart and programmable thermostats.

Technologists and Researchers

  • Develop smart systems that integrate thermostats into a systems level perspective, allowing thermostats to make adjustments based on household energy consumption; design these systems for automatic adjustments to energy usage depending on price signals, energy spikes, appliance use, charging time (e.g., for EVs), weather patterns, occupancy, and related factors; ensure thermostats can automatically update utility rates, weather forecasts, and other data that support cost- and energy-efficient use.
  • Develop smart thermostats and smart home systems that can be grid-integrated for demand management. 
  • Design software for smart and programmable thermostats that provides detailed feedback and individualized suggestions to consumers on energy usage, costs, and estimated savings.
  • Research how users interact with smart and programmable thermostats; examine impact of user interfaces (UIs) on consumer use; develop simplified UIs to facilitate adoption.
  • Research the relationship between household decision-making and smart or programmable thermostat adoption; highlight recommendations for reaching household decision-makers.

Communities, Households, and Individuals

  • Upgrade to a smart or programmable thermostat, learn how to use its features, set the programming accordingly, and override the system as little as possible.
  • Consult and work with licensed heating and cooling system installers to determine best available options for smart or programmable thermostats, installation, and maintenance.
  • Make sure your thermostat is installed in a position that allows for easy, unobstructed access.
  • Take advantage of public incentives such as subsidies or low-interest financing for installation, retrofits, and/or maintenance.
  • If provided by your smart thermostat or energy provider, opt into alerts that inform you of abnormally high energy usage which can be an early warning of problems with a heating and cooling system.
  • Take time to understand your smart or programmable thermostat; use profile settings and scheduling to optimize energy and money savings.
  • If you own a smart thermostat, opt into demand response programs to lower energy consumption during peak times; turn on notifications for heating and cooling system maintenance.
  • Share your experience with your neighbors, community, and social networks, and offer help in programming a thermostat where appropriate.
  • If possible, regularly schedule heating and cooling system maintenance and upgrades, including for related equipment such as thermostats. 
  • If smart or programmable thermostats are not an option, manually adjust your thermostat to reduce energy consumption when you’re not home, during peak hours, or to reflect weather conditions; consult your energy provider for tips on thermostat adjustments that can save money and energy.

“Take Action” Sources

Evidence Base

Consensus of effectiveness in reducing GHG emissions: High 

There is strong consensus that smart and programmable thermostats will reduce energy use and associated emissions when used to regularly adjust temperatures. 

Numerous studies have demonstrated that energy savings with smart or programmable thermostats can be significant but also vary significantly. For example, Yuan et al.’ (2024)’s review of occupancy-based control studies for heating, air conditioning and ventilation systems found energy savings of 7–44%. (Pang et al., 2021) noted that factors such as climate conditions, building characteristics, occupant behaviors, and setback temperatures can affect energy savings outcomes. 

Pritoni et al. (2016) found that field study outcomes for smart thermostats can differ from the outcomes predicted by models, which are the most common approach to estimating energy savings and, by extension, emissions savings. Factors that can account for some of this discrepancy include comfort preferences, overrides, poor programming, and occupancy (Pritoni et al., 2015; Stopps & Touchie, 2021). 

A major barrier to realizing energy savings with smart or programmable thermostats is getting households to use the programming feature. Bielig et al. (2025) demonstrated that smart thermostat adoption and use are tied to perceived value, usefulness, and ease of use in European Union countries. Meanwhile, Pritoni et al. (2015) highlighted how many U.S. households have a poor understanding of how and when programmed set points save energy, and identified challenges with programming thermostats and comfort concerns as barriers to their use. Smart thermostats that learn occupant behaviors and preferences have shown to be easier to use than programmable thermostats (Tamas et al., 2021) and can achieve higher energy savings with higher thermal comfort (Nägele et al., 2017).

The results presented in this document summarize findings from five original studies, 10 reports, nine databases, two market research reports, and 11 product information web pages. This reflects current evidence from 11 countries, primarily high-income countries, and seven global regions. We recognize this limited geographic scope creates bias, and hope this work inspires research and data sharing on this topic in underrepresented regions.

Updated Date
Coming Soon Label
Coming Soon

Improve Fuel-Burning Cooking Equipment

Sector
Buildings
Image
Image
Peatland
Coming Soon
On
Summary

In low- and middle-income countries, adopting cooking equipment that uses cleaner fuels or is more efficient has the potential to reduce GHG emissions from both cooking and deforestation due to unsustainable biomass use. Such equipment is readily available and inexpensive and provides significant social benefits. Barriers to adoption include cost and cultural practices, particularly in sub-Saharan Africa. Due to limited data to evaluate the emissions impact of improving fuel-burning equipment, we will “Keep Watching” this solution. 

Description for Social and Search
Improve Fuel-Burning Cooking Equipment is a Keep Watching climate solution.
Overview

What is our assessment?

Based on our analysis, improving fuel-burning cooking equipment is an important strategy for reducing GHG emissions from stoves and unsustainable wood harvesting, especially in low-income countries where the additional social and health benefits are significant. However, the lack of quantitative data on the emissions impacts precludes a full analysis. We will “Keep Watching” this potential climate solution. 

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? Yes

What is it?

Improved fuel-burning cooking equipment reduces emissions from combustion and unsustainable biomass harvesting by switching to more efficient cooking equipment or cooking equipment that burn cleaner fuels. In many countries around the world, it is common to cook meals over open fires with solid fuels such as wood, charcoal, dung, and coal or over kerosene stoves Cooking using solid fuels occurs mainly in low-income countries and in rural areas, with one report estimating that 84% of people in sub-Saharan Africa lacked cleaner cooking solutions in 2020 (Stoner et al., 2021). Improved fuel-burning cooking equipment includes more efficient cookstoves and stoves that use cleaner fuels such as liquid petroleum gas, natural gas, biogas, and alcohol. Use of such equipment reduces emissions from combustion and unsustainable biomass harvesting (International Energy Agency [IEA], 2023). Improving fuel-burning cooking equipment is widely seen as a stepping stone toward cooking with electricity in regions lacking reliable and affordable access to electricity (Couture & Jacobs, 2019). Solar-powered cookstoves are not included here, and shifting to electric cooking is addressed in Deploy Electric Cooking Equipment

Does it work?

Improved fuel-burning cooking equipment is widely available, is proven to reduce GHG emissions, and can reduce unsustainable biomass harvesting. This is because cleaner fuels are less carbon intensive and make the cooking equipment more energy efficient, resulting in less emissions per unit of heat delivered (Johnson, 2009; Khavari et al., 2023). Meanwhile, more efficient solid-fuel cookstoves can reduce fuel usage by 25-40% (MacCarty et al., 2010). Using less biomass for cooking also means less unsustainable wood harvesting that can lead to deforestation (Bailis et al., 2015). The IEA (2023) estimates that 0.8 Gt CO₂‑eq/yr could be avoided by 2030 if all households cooked with cleaner cooking fuels or electricity, and a similar amount of emissions could be prevented by avoiding deforestation. 

Why are we excited?

Improving fuel-burning cooking equipment is a low-cost climate solution that has had high rates of adoption in some countries driven in part by the significant additional benefits. Most improved cooking equipment has up-front costs of less than $US100 (Modern Energy Cooking Services & Energy 4 Impact 2021), and there can be operational cost savings because the new equipment is more fuel efficient. China, India, and Indonesia saw 2–4% of their populations gain access to cleaner cooking technologies (including electric appliances) each year between 2010 and 2022 (IEA, 2023), highlighting how adoption can grow with supportive policies and funding. 

Improved cooking equipment provides numerous social benefits. The World Health Organization (2024) estimated that 2.9 million premature deaths occur per year from household air pollution, and inefficient cooking contributes to that. The World Bank (2020) estimated that cooking with solid fuels and kerosene causes US$1.4 trillion/yr in negative health impacts, mainly to women and girls. Women and girls also may be vulnerable to violence and assault when collecting biomass fuel. The IEA (2023) estimates that an average of 5 hours a day are spent on collecting biomass and cooking in some regions when inefficient cooking methods are used, time that might otherwise be spent on schooling or additional employment. Finally, biodiversity loss and deforestation are reduced when less biomass is used for cooking (Pearson et al., 2017). 

Why are we concerned?

Adoption of improved fuel-burning cooking equipment is held back by cost and cultural barriers, while lack of data hinders emissions impact analyses. Despite being low cost, improved fuel-burning cooking equipment and their fuels are financially inaccessible to many households in low-income countries, including half of households in sub-Saharan Africa (World Bank, 2020). Households using improved cooking equipment may revert to old equipment if fuel becomes unaffordable or cookstoves do not support traditional cooking practices (Jewitt et al., 2020). Finally, the full potential of this solution to reduce emissions cannot be assessed due to a lack of studies specific to improvements to fuel-burning equipment and the types of GHGs involved.

Solution in Action

References

Cited References

Bailis, R., Drigo, R., Ghilardi, A., & Masera, O. (2015). The carbon footprint of traditional woodfuels. Nature Climate Change5(3), 266–272. Link to source: https://doi.org/10.1038/nclimate2491   

Couture, T. D., & Jacobs, D. (2019). Beyond fire: How to achieve electric cooking [Report]. Hivos and World Future Council. Link to source: https://www.worldfuturecouncil.org/wp-content/uploads/2019/05/Beyond-Fire-How-to-achieve-electric-cooking.pdf 

International Energy Agency. (2023). A vision for clean cooking access for all. Link to source: https://iea.blob.core.windows.net/assets/f63eebbc-a3df-4542-b2fb-364dd66a2199/AVisionforCleanCookingAccessforAll.pdf 

Jewitt, S., Atagher, P., & Clifford, M. (2020). “We cannot stop cooking”: Stove stacking, seasonality and the risky practices of household cookstove transitions in Nigeria. Energy Research & Social Science61, Article 101340. Link to source: https://doi.org/10.1016/j.erss.2019.101340 

Johnson, E. (2009). Charcoal versus LPG grilling: A carbon-footprint comparison. Environmental Impact Assessment Review29(6), 370–378. Link to source: http://dx.doi.org/10.1016/j.eiar.2009.02.004 

Khavari, B., Ramirez, C., Jeuland, M., & Fuso Nerini, F. (2023). A geospatial approach to understanding clean cooking challenges in sub-Saharan Africa. Nature Sustainability6(4), 447–457. Link to source: https://doi.org/10.1038/s41893-022-01039-8 

MacCarty, N., Still, D., & Ogle, D. (2010). Fuel use and emissions performance of fifty cooking stoves in the laboratory and related benchmarks of performance. Energy for Sustainable Development14(3), 161–171. Link to source: https://doi.org/10.1016/j.esd.2010.06.002 

Modern Energy Cooking Services, & Energy 4 Impact. (2021). Clean cooking: Financing appliances for end users [Report]. Link to source: https://www.energy4impact.org/sites/default/files/2024-09/financing_appliances_report_0.pdf 

Pearson, T. R. H., Brown, S., Murray, L., & Sidman, G. (2017). Greenhouse gas emissions from tropical forest degradation: An underestimated source. Carbon Balance and Management, 12(1), Article 3. Link to source: https://doi.org/10.1186/s13021-017-0072-2  

Stoner, O., Lewis, J., Martínez, I. L., Gumy, S., Economou, T., & Adair-Rohani, H. (2021). Household cooking fuel estimates at global and country level for 1990 to 2030. Nature communications12(1), Article 5793. Link to source: https://doi.org/10.1038/s41467-021-26036-x 

World Bank. (2020). The state of access to modern energy cooking services [Report]. Link to source: https://www.worldbank.org/en/topic/energy/publication/the-state-of-access-to-modern-energy-cooking-services

World Health Organization. (n.d.). Proportion of population with primary reliance on clean fuels and technologies. Retrieved May 29, 2026, from Link to source: https://www.who.int/data/gho/data/themes/air-pollution/household-air-pollution 

Additional Resources

Anenberg, S. C., Balakrishnan, K., Jetter, J., Masera, O., Mehta, S., Moss, J., & Ramanathan, V. (2013). Cleaner cooking solutions to achieve health, climate, and economic cobenefits. Environmental Science & Technology, 47(9), 3944–3952. Link to source: https://pubs.acs.org/doi/10.1021/es304942e

Clean Cooking Alliance. (2022). Accelerating clean cooking as a nature-based climate solution [Report]. Link to source: https://cleancooking.org/reports-and-tools/accelerating-clean-cooking-as-a-nature-based-climate-solution/

International Energy Agency. (2025). Universal access to clean cooking in Africa [Report]. Link to source: https://iea.blob.core.windows.net/assets/f0170390-a39b-407e-9ffe-b1cc865d0c5d/UniversalAccesstoCleanCookinginAfrica.pdf 

International Renewable Energy Agency. (2024). Advancing renewables-based clean cooking solutions: Key messages and outcomes [Report]. Link to source: https://cop.impulsouth.org/wp-content/uploads/2025/01/IRENA_Renewables-based_clean_cooking_2024.pdf 

Kaur-Sidhu, M., Ravindra, K., Mor, S., & John, S. (2020). Emission factors and global warming potential of various solid biomass fuel-cook stove combinations. Atmospheric Pollution Research11(2), 252–260. Link to source: https://doi.org/10.1016/j.apr.2019.10.009  

Rosenthal, J., Quinn, A., Grieshop, A. P., Pillarisetti, A., & Glass, R. I. (2018). Clean cooking and the SDGs: Integrated analytical approaches to guide energy interventions for health and environment goals. Energy for Sustainable Development42, 152–159. Link to source: https://doi.org/10.1016/j.esd.2017.11.003 

Sharma, D., Ravindra, K., Kaur, M., Prinja, S., & Mor, S. (2020). Cost evaluation of different household fuels and identification of the barriers for the choice of clean cooking fuels in India. Sustainable Cities and Society52, Article 101825. Link to source: https://doi.org/10.1016/j.scs.2019.101825  

United Nations. (n.d.). Goal 7: Ensure access to affordable, reliable, sustainable and modern energy for all. Retrieved May 29, 2026, from Link to source: https://sdgs.un.org/goals/goal7#progress_and_info 

World Health Organization. (2025). Household air pollution. Link to source: https://www.who.int/news-room/fact-sheets/detail/household-air-pollution-and-health

Credits

Lead Fellow:

Heather McDiarmid, Ph.D.

Internal Reviewers:

Christina Swanson, Ph.D.

Amanda D. Smith, Ph.D.

Speed of Action
Caveats
Risks
Consensus
Trade-offs
Action Word
Improve
Solution Title
Fuel-Burning Cooking Equipment
Classification
Keep Watching

Lawmakers and Policymakers

Practitioners

Business Leaders

Nonprofit Leaders

Investors

Philanthropists and International Aid Agencies

Thought Leaders

Technologists and Researchers

Communities, Households, and Individuals

Updated Date
Coming Soon Label
Coming Soon

Deploy Green Roofs

Image
Image
Roof with vegetation
Coming Soon
Off
Summary

Green roofs sequester carbon through photosynthesis and may reduce energy consumption and emissions from cooling and heating the building thanks to the added insulation and the cooling effects of plants. Carbon sequestration by vegetation on green roofs has been documented, and many reports show energy savings from cooling and heating buildings. The effectiveness varies significantly across projects due to building and roof design, plant types, and climates. Green roofs are an attractive solution because they also provide climate adaptation, human health, environmental, and economic benefits. However, their adoption is hampered by high up-front costs, lack of supportive policies, structural and climate limitations, maintenance requirements, and lack of awareness. With the limited data available today we estimate the total impact to be relatively small, but given the significant additional benefits we conclude that this solution is “Worthwhile.”

Description for Social and Search
Increase Green Roofs & Urban Greenspace
Overview

What is our assessment?

There is strong evidence that green roofs sequester carbon and may reduce building energy consumption, although emissions reduction data are limited and vary with geography, roof design, and other factors. The potential climate impact of increasing green roofs is likely too small to be globally significant (>0.1 Gt CO₂‑eq/yr ). The solution, however, is considered “Worthwhile” because it can reduce energy use in buildings and sequester carbon while helping communities adapt to climate change and benefiting human health, the environment, and building owners.

Plausible Could it work? Yes
Ready Is it ready? Yes
Evidence Are there data to evaluate it? Limited
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? Yes

What is it?

Vegetation planted on specially engineered rooftops sequesters CO₂ through photosynthesis and provides indirect cooling for buildings through evapotranspiration, reflecting heat back to the atmosphere, and shading. This cooling plus the added insulation inherent in the design can reduce the air conditioning loads of the building, particularly compared to dark rooftop surfaces, and therefore reduce emissions from the electricity used to power cooling systems. Green roofs can also reduce heating energy use and corresponding GHG emissions due to the insulation that soils and plant matter provide. Green roofs are in use in all regions of the globe, but concentrated in high-income countries. 

Does it work?

There is strong evidence that green roofs sequester carbon and can reduce the energy consumption and therefore emissions from cooling and heating buildings. Carbon sequestration by vegetation on green roofs has been documented in several studies. A study in Germany found that plants absorbed 141 g carbon/m2/yr (517 g CO₂ /m2/yr) over a 5-year period. However, carbon sequestration rates are difficult to generalize due to variations in design, plant types, and climates. 

Reported building energy savings from green roofs can range from negligible to 60% or more for cooling. For heating the savings can reach 45% or more, but some studies also show a roughly 10% increase in heating energy use with a green roof. The large variability in energy savings outcomes is due to differences in climate; existing insulation and other properties of buildings; green roof design, vegetation and maintenance practices; and measurement and modeling approaches. The highest energy savings potential has been calculated in dry-winter subtropical highlands for cooling and in humid subtropical climates for heating. Areas with short and mild winters are most likely to see heating energy use increase with green roofs, but these areas often have net energy savings when heating and cooling are combined, and most studies of green roofs show a reduction in heating energy use. 

When combined with the carbon sequestration effect of vegetation, green roofs appear to consistently reduce GHG emissions. 

Why are we excited?

Green roofs and other urban green spaces (see Increase Urban Vegetation) provide valuable climate adaptation, human health, environmental, and economic benefits. Green roofs can help cities adapt to climate change because the vegetation reduces heat exposure during extreme heat, while the soil and root systems absorb stormwater – thereby reducing runoff and flooding risks during extreme rainfall. Green roofs improve human health because vegetation filters the air and reduces noise transmission, and interactions with green spaces, including green roofs, have been shown to improve mental well-being. Green roofs can increase biodiversity and habitat and remove water pollution. They also can increase the property value of a building and prolong the longevity of the roof.

Why are we concerned?

Increasing green roofs can be challenging due to high up-front cost, lack of supportive policies, structural and climate limitations, maintenance requirements, and lack of awareness. A green roof can cost three to six times more than a conventional roof, and although it can save energy for cooling and heating, the returns on investment can be lengthy and savings may not be enough to fully offset the higher costs. In addition, not all roofs can support vegetation, rooftop plants can struggle to survive in hot and dry climates, and green roofs may increase heating energy use in buildings in climates with short and mild winters. A green roof also requires maintenance such as watering, plant care, weed control, pruning, and regular inspections. Finally, a lack of awareness is a major barrier to greater adoption. We also noted a lack of measured, rather than modeled emissions reduction data and on current and potential green roof adoption globally. 

Solution in Action

References

Addo-Bankas, O., Wei, T., Zhao, Y., Bai, X., Núñez, A. E., & Stefanakis, A. (2024). Revisiting the concept, urban practices, current advances, and future prospects of green infrastructure. Science of The Total Environment954, 176473. Link to source: https://doi.org/10.1016/j.scitotenv.2024.176473

 Getter, K. L., Rowe, D. B., Robertson, G. P., Cregg, B. M., & Andresen, J. A. (2009). Carbon Sequestration Potential of Extensive Green Roofs. Environmental Science & Technology43(19), 7564–7570. Link to source: https://doi.org/10.1021/es901539x

Green roof guide. (n.d.). Green roof maintenance tips. Green Roof Guide. Link to source: https://greenroofguide.com/green-roof-maintenance-tips/

 He, Q., Tapia, F., & Reith, A. (2023). Quantifying the influence of nature-based solutions on building cooling and heating energy demand: A climate specific review. Renewable and Sustainable Energy Reviews186, 113660. Link to source: https://doi.org/10.1016/j.rser.2023.113660

 Knight, T., Price, S., Bowler, D., Hookway, A., King, S., Konno, K., & Richter, R. L. (2021). How effective is ‘greening’ of urban areas in reducing human exposure to ground-level ozone concentrations, UV exposure and the ‘urban heat island effect’? An updated systematic review. Environmental Evidence10(1), 12. Link to source: https://doi.org/10.1186/s13750-021-00226-y

 Konopka, J., Heusinger, J., & Weber, S. (2021). Extensive Urban Green Roof Shows Consistent Annual Net Uptake of Carbon as Documented by 5 Years of Eddy‐Covariance Flux Measurements. Journal of Geophysical Research: Biogeosciences126(2), e2020JG005879. Link to source: https://doi.org/10.1029/2020JG005879 

Mihalakakou, G., Souliotis, M., Papadaki, M., Menounou, P., Dimopoulos, P., Kolokotsa, D., Paravantis, J. A., Tsangrassoulis, A., Panaras, G., Giannakopoulos, E., & Papaefthimiou, S. (2023). Green roofs as a nature-based solution for improving urban sustainability: Progress and perspectives. Renewable and Sustainable Energy Reviews180, 113306. Link to source: https://doi.org/10.1016/j.rser.2023.113306

 Perivoliotis, D., Arvanitis, I., Tzavali, A., Papakostas, V., Kappou, S., Andreakos, G., Fotiadi, A., Paravantis, J. A., Souliotis, M., & Mihalakakou, G. (2023). Sustainable Urban Environment through Green Roofs: A Literature Review with Case Studies. Sustainability15(22), 15976. Link to source: https://doi.org/10.3390/su152215976

 Shafique, M., Xue, X., & Luo, X. (2020). An overview of carbon sequestration of green roofs in urban areas. Urban Forestry & Urban Greening47, 126515. Link to source: https://doi.org/10.1016/j.ufug.2019.126515

 Susca, T. (2019). Green roofs to reduce building energy use? A review on key structural factors of green roofs and their effects on urban climate. Building and Environment162, 106273. Link to source: https://doi.org/10.1016/j.buildenv.2019.106273 

Tan, T., Kong, F., Yin, H., Cook, L. M., Middel, A., & Yang, S. (2023). Carbon dioxide reduction from green roofs: A comprehensive review of processes, factors, and quantitative methods. Renewable and Sustainable Energy Reviews182, 113412. Link to source: https://doi.org/10.1016/j.rser.2023.113412

 Tiago, P., Leal, A. I., & Silva, C. M. (2024). Assessing Ecological Gains: A Review of How Arthropods, Bats and Birds Benefit from Green Roofs and Walls. Environments11(4), 76. Link to source: https://doi.org/10.3390/environments11040076

 US Environmental Protection Agency. (2025, April 2). Using green roofs to reduce heat islands. US Environmental Protection Agency. Link to source: https://www.epa.gov/heatislands/using-green-roofs-reduce-heat-islands

 Zhang, G., & He, B.-J. (2021). Towards green roof implementation: Drivers, motivations, barriers and recommendations. Urban Forestry & Urban Greening58, 126992. Link to source: https://doi.org/10.1016/j.ufug.2021.126992

Zhuo, Z., Ran, K., & Dong, L. (2025). Assessing the Effects of Exposure to Green Rooftop Spaces on Perceived Restorativeness: A Field Study in Xiamen, China. Buildings15(9), 1427. Link to source: https://doi.org/10.3390/buildings15091427

Credits

Lead Fellow

  • Heather McDiarmid, Ph.D.

Internal Reviewer

  • Amanda D. Smith, Ph.D.

  • Christina Swanson, Ph.D.

Speed of Action
Caveats
Risks
Consensus
Trade-offs
Action Word
Deploy
Solution Title
Green Roofs
Classification
Worthwhile

Lawmakers and Policymakers

Practitioners

Business Leaders

Nonprofit Leaders

Investors

Philanthropists and International Aid Agencies

Thought Leaders

Technologists and Researchers

Communities, Households, and Individuals

Updated Date
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Improve Routing & Logistics

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Description for Social and Search
Improve Routing & Logistics
Solution in Action
Speed of Action
Caveats
Risks
Consensus
Trade-offs
Action Word
Improve
Solution Title
Routing & Logistics
Classification
Keep Watching

Lawmakers and Policymakers

Practitioners

Business Leaders

Nonprofit Leaders

Investors

Philanthropists and International Aid Agencies

Thought Leaders

Technologists and Researchers

Communities, Households, and Individuals

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Improve Fishing Vessel Efficiency

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Summary

Improving fishing vessel efficiency cuts CO₂ emissions in wild capture fisheries by lowering fuel use through vessel, gear, or operational modifications. Advantages include the long-term cost savings from fuel use reductions, the ability to implement many of these improvements without reducing fishing effort, and the potential additional benefits for air quality and marine ecosystems. Disadvantages include its limited climate impact due to the sector’s overall small contribution to global GHG emissions and the possibly high up-front costs associated with vessel or gear upgrades. We conclude that, despite its modest emissions impact, Improve Fishing Vessel Efficiency is “Worthwhile,” with likely ecosystem and economic benefits.

Description for Social and Search
Improving fishing vessel efficiency cuts CO2 emissions in wild capture fisheries by lowering fuel use through vessel, gear, or operational modifications.
Overview

What is our assessment?

Based on our analysis, we find that fishing vessel efficiency improvements are ready to deploy and feasible, but probably have limited climate impact because the wild capture fisheries sector contributes a relatively small share of global GHG emissions. These improvements will likely provide long-term cost savings and added benefits for ecosystems and air quality. We conclude this climate solution is “Worthwhile.”

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? ?

What is it?

Improving fishing vessel efficiency reduces CO₂ emissions by using gear, vessel, or operational changes that lower fuel use in wild capture fisheries. Vessel upgrades include propulsion-related changes, such as installation of more efficient engines, and non-propulsion-related alterations, such as modified bows and hulls that reduce drag. Changing to low-fuel-use gear to catch fish, when and where possible, can also reduce CO₂ emissions. Operational changes, such as speed reductions or route optimization, can likewise lead to more efficient fuel use.

Does it work?

Vessel efficiency improvements are expected to deliver substantial fuel savings. An estimated 60–90% of emissions in wild capture fisheries, which emit roughly 0.18 Gt CO₂‑eq/yr in total, likely result from fuel consumption. Speed reductions alone can reduce fuel use by up to 30%. Vessel modifications could provide fuel savings of up to 20% in small fishing vessels, which comprise roughly 86% of all motorized fishing vessels globally. Upgrading engines and other propulsion-related equipment can reduce fuel use by up to 30%. Gear switching, when viable, can also be highly effective at improving fuel use efficiency, particularly if the target species are typically caught using methods such as trawling, which has a high carbon footprint

Why are we excited?

The average emissions per metric ton of landed fish in wild capture fisheries have grown by over 20% since 1990, highlighting the need for efficiency improvements. Many of these improvements can be implemented without sacrificing fishing effort or opportunities, and some operational changes, such as reducing vessel speed, can be done without any new equipment. All changes reduce fuel use, saving fishers money over time and likely resulting in fewer emissions of harmful air pollutants, such as sulfur oxides and black carbon. Some upgrades could deliver additional benefits to air quality and ocean ecosystems. Cleaner engines can further reduce air pollution through more complete combustion of fuel, and gear changes could benefit seafloor ecosystems, which can be damaged from bottom fishing practices, such as trawling and dredging. Additionally, some fishing gear has high bycatch rates, and switching to gear that allows for more exclusive capture of target species can reduce waste.

Why are we concerned?

Even with widespread adoption, efficiency improvements that reduce fuel use are unlikely to have a major climate impact. Efficiency improvements could also inadvertently encourage increases in fishing effort, which would increase fuel use and offset emissions cuts. Initial costs to upgrade can be highly variable, but might be high in some cases and therefore not feasible for some fishers. Gear switching can result in lower fish catches, as some methods might not be as efficient. Some operational changes, such as reducing speeds, could lead to fishers arriving at fishing grounds late.

Solution in Action

References

Althaus, F., Williams, A., Schlacher, T. A., Kloser, R. J., Green, M. A., Barker, B. A., ... & Schlacher-Hoenlinger, M. A. (2009). Impacts of bottom trawling on deep-coral ecosystems of seamounts are long-lasting. Marine Ecology Progress Series, 397, 279–294. Link to source: https://doi.org/10.3354/meps08248

Bastardie, F., Hornborg, S., Ziegler, F., Gislason, H., & Eigaard, O. R. (2022). Reducing the fuel use intensity of fisheries: through efficient fishing techniques and recovered fish stocks. Frontiers in Marine Science9, 817335. Link to source: https://doi.org/10.3389/fmars.2022.817335

Bastardie, F., Feary, D. A., Kell, L., Brunel, T. P. A., Metz, S., Döring, R., ... & van Hoof, L. J. W. (2022). Climate change and the Common Fisheries Policy: adaptation and building resilience to the effects of climate change on fisheries and reducing emissions of greenhouse gases from fishing. European Commission. Link to source: https://doi.org/10.2926/155626

Gilman, E., Perez Roda, A., Huntington, T., Kennelly, S. J., Suuronen, P., Chaloupka, M., & Medley, P. A. H. (2020). Benchmarking global fisheries discards. Scientific Reports, 10(1), 14017. Link to source: https://doi.org/10.1038/s41598-020-71021-x

Gulbrandsen, O. (2012). Fuel savings for small fishing vessels. Food and Agriculture Organization of the United Nations. Link to source: https://www.fao.org/4/i2461e/i2461e.pdf

Gray, C. A., & Kennelly, S. J. (2018). Bycatches of endangered, threatened and protected species in marine fisheries. Reviews in Fish Biology and Fisheries, 28(3), 521–541. Link to source: https://doi.org/10.1007/s11160-018-9520-7

Food and Agriculture Organization of the United Nations. (2018). The state of world fisheries and aquaculture. Food and Agriculture Organization of the United Nations. Link to source: https://openknowledge.fao.org/handle/20.500.14283/i9540en

Food and Agriculture Organization of the United Nations. (2018). Impacts of climate change on fisheries and aquaculture. United Nations’ Food and Agriculture Organization, 12(4), 628-635. Link to source: https://fao.org/3/i9705en/i9705en.pdf

Food and Agriculture Organization of the United Nations. (2024). The State of World Fisheries and Aquaculture 2024 – Blue Transformation in action. Food and Agriculture Organization of the United Nations. Link to source: https://openknowledge.fao.org/handle/20.500.14283/cd0683en

Hilborn, R., Amoroso, R., Collie, J., Hiddink, J. G., Kaiser, M. J., Mazor, T., ... & Suuronen, P. (2023). Evaluating the sustainability and environmental impacts of trawling compared to other food production systems. ICES Journal of Marine Science80(6), 1567–1579. Link to source: https://doi.org/10.1093/icesjms/fsad115

Parker, R. W., Blanchard, J. L., Gardner, C., Green, B. S., Hartmann, K., Tyedmers, P. H., & Watson, R. A. (2018). Fuel use and greenhouse gas emissions of world fisheries. Nature Climate Change8(4), 333–337. Link to source: https://doi.org/10.1038/s41558-018-0117-x

United Nations Global Compact and World Wildlife Fund. (2022). Setting science-based targets in the seafood sector: Best practices to date. Link to source: https://unglobalcompact.org/library/6050

United Nations Conference on Trade and Development (UNCTAD). (2024). Energy Transition of Fishing Fleets: Opportunities and Challenges for Developing Countries (UNCTAD/DITC/TED/2023/5). Geneva: UNCTAD. Link to source: https://unctad.org/system/files/official-document/ditcted2023d5_en.pdf

Credits

Lead Fellow

  • Christina Richardson, Ph.D.

Internal Reviewer

  • Christina Swanson, Ph.D.
Speed of Action
Caveats
Risks
Consensus
Trade-offs
Action Word
Improve
Solution Title
Fishing Vessel Efficiency
Classification
Worthwhile

Lawmakers and Policymakers

Practitioners

Business Leaders

Nonprofit Leaders

Investors

Philanthropists and International Aid Agencies

Thought Leaders

Technologists and Researchers

Communities, Households, and Individuals

Updated Date
Coming Soon Label
Coming Soon

Boost Appliance & Equipment Efficiency

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Washing machines on conveyer belts in a factory
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Summary

Boosting the efficiency of appliances and equipment cuts GHG emissions by reducing the amount of electricity used to operate these devices. Efficiency improvements also lead to reduced peak demand, less strain on the electric grid, and potential utility savings for homeowners due to reduced electricity use. Despite this potential, the increase in the total number of households and average ownership of appliances, especially in low- and middle-income countries, has offset the impact of efficiency gains and resulted in increased electricity consumption from devices globally. We conclude that Boost Appliance & Equipment Efficiency is “Worthwhile” because it functionally reduces the energy consumed by these devices, but significant leaps in efficiency and shifts in user behavior are needed to realize its full potential as a climate solution.

Description for Social and Search
Boosting the efficiency of appliances and equipment cuts GHG emissions by reducing the amount of electricity used to operate these devices.
Overview

What is our assessment?

Based on our analysis, boosting appliance and equipment efficiency is a promising strategy for reducing GHG emissions, but significant leaps in efficiency and shifts in user behavior are needed to counteract the rebound effect and realize its impact. This potential climate solution is “Worthwhile.”

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? Yes

What is it?

Appliance and equipment efficiency typically refers to larger devices in residential buildings that run on electricity, such as refrigerators, freezers, washing machines, dishwashers, dryers, and televisions. Energy-efficient appliances or equipment consume less electricity when operated than do inefficient devices. Therefore, boosting appliance efficiency reduces the CO₂, methane, and nitrous oxide emissions from electricity generation. As of 2022, the energy consumed by household appliances globally was more than twice the total energy used to cool both residential and nonresidential buildings, and about half the energy used for heating. To drive higher efficiency for these devices, various countries have established regional energy efficiency standards, rating systems, and labeling programs. Currently, homeowners can readily access a variety of options on the appliance market, and less efficient devices can easily be replaced. However, income levels, especially in low- and middle-income countries, may affect people’s actual ability to purchase certain appliances, although these devices are increasingly becoming cheaper.

Does it work?

Improving the efficiency of appliances and equipment functionally reduces the energy required to run these devices. Various field studies have demonstrated the effect of efficiency gains on lowering electricity consumption. However, the rise in appliance ownership per household and the growing total number of households have offset the collective climate impact expected from efficiency improvements. Globally, the number of households grew from about 1.5 billion in 2000 to 2.2 billion in 2021. Considering the concurrent increase in the global average units owned per household, the number of appliances in use has essentially doubled over the same period. For example, we estimate that over two decades, the number of televisions owned grew from about 1.4 to 2.8 billion units, refrigerators grew from 0.9 to 1.7 billion units, and washing machines grew from about 0.6 to 1.1 billion units. This growth resulted in rising electricity consumption by appliances annually, from 2,880 TWh in 2000 to 5,734 TWh in 2022, which translates to a 99% global increase, largely driven by the Asia-Pacific region.

Why are we excited?

Boosting appliance and equipment efficiency allows homeowners to realize operational cost savings as a result of lower electricity consumption and utility bills. Compared with less efficient devices, using appliances with higher efficiency ratings functionally reduces peak electricity demand, alleviating strain on the electric grid. The advent of smart devices and the Internet of Things (IoT) also helps to automate the operation of these appliances, optimizing their runtime while minimizing the energy consumed. Initial purchasing costs are also declining, making efficient appliances more accessible and affordable. 

Access to high-efficiency appliances also yields additional benefits. For example, access to energy-efficient refrigerators and freezers means that food waste can be minimized with less energy, leading to better food security. Similarly, multimedia equipment, such as television sets, offers access to critical information. Further cuts in GHG emissions are also possible as the electric grid transitions to renewable energy sources.

Why are we concerned?

Despite the potential benefits, the efficiency improvements in household appliances and equipment have not effectively translated into a positive climate impact. This is largely due to the significant rebound effect, or the increase in appliances owned by households as these devices become cheaper and more efficient. Considering the role of appliances in providing a greater quality of life, limiting the increase in appliance purchases is dismissible. The markets for appliances and equipment in many countries also still consist of pre-owned devices, which are less efficient. Some countries, such as Ghana, have established legislation to prevent the importation of pre-owned devices. This approach ensures that the appliances bought by homeowners will run on the newest, most efficient technologies. Recent findings from regions with stringent energy rating systems also suggest that regulations and programs can lead to a 50% cut in the electricity consumed by appliances. Global initiatives, such as the United for Efficiency (U4E) partnership, which seeks to shift appliance markets in low- and middle-income countries into high-efficiency devices, are increasingly needed for the potential energy savings to be realized as a climate solution.

Solution in Action

References

CLASP. (2023). Net zero heroes: Scaling efficient appliances for climate change mitigation, adaptation & resilience. CLASP. Link to source: https://www.clasp.ngo/wp-content/uploads/2024/01/CLASP-COP28-FullReport-V8-012424.pdf

Darshan, A., Girdhar, N., Bhojwani, R., Rastogi, K., Angalaeswari, S., Natrayan, L., & Paramasivam, P. (2022). Energy audit of a residential building to reduce energy cost and carbon footprint for sustainable development with renewable energy sources. Advances in Civil Engineering, 2022(1), 4400874. Link to source: https://doi.org/10.1155/2022/4400874

de Ayala, A., Foudi, S., Solà, M. d. M., López-Bernabé, E., & Galarraga, I. (2020). Consumers’ preferences regarding energy efficiency: A qualitative analysis based on the household and services sectors in Spain. Energy Efficiency, 14(1), 3. Link to source: https://doi.org/10.1007/s12053-020-09921-0

de Ayala, A., & Solà, M. d. M. (2022). Assessing the EU energy efficiency label for appliances: Issues, potential improvements and challenges. Energies, 15(12), 4272. Link to source: https://doi.org/10.3390/en15124272

IEA. (2022, 22 September 2022). Worldwide average household ownership of appliances and number of households in the net zero scenario, 2000–2030. Retrieved April 20, 2025, from Link to source: https://www.iea.org/data-and-statistics/charts/worldwide-average-household-ownership-of-appliances-and-number-of-households-in-the-net-zero-scenario-2000-2030

IEA. (2023). Space cooling: Net zero emissions guide. IEA. Link to source: https://www.iea.org/reports/space-cooling-2

IEA/4E TCP. (2021). Achievements of energy efficiency appliance and equipment standards and labeling programmes. IEA. Link to source: https://www.iea.org/reports/achievements-of-energy-efficiency-appliance-and-equipment-standards-and-labelling-programmes

Lane, K., & Camarasa, C. (2023, 11 July 2023). Appliances and equipment. IEA. Retrieved May 13, 2025, from Link to source: https://www.iea.org/energy-system/buildings/appliances-and-equipment

Stasiuk, K., & Maison, D. (2022). The influence of new and old energy labels on consumer judgements and decisions about household appliances. Energies, 15(4), 1260. Link to source: https://doi.org/10.3390/en15041260

United for Efficiency (U4E). (2025). About the partnership. United Nations Environment Program (UNEP). Retrieved May 15, 2025, from Link to source: https://united4efficiency.org/about-the-partnership/ 

Credits

Lead Fellow

  • Henry Igugu, Ph.D.

Contributors

  • Zoltan Nagy, Ph.D.
  • Amanda D. Smith, Ph.D.

Internal Reviewer

  • Christina Swanson, Ph.D.
Speed of Action
Caveats
Additional Benefits
Risks
Consensus
Trade-offs
Action Word
Boost
Solution Title
Appliance & Equipment Efficiency
Classification
Worthwhile
Updated Date
Coming Soon Label
Coming Soon

Use Low-Flow Fixtures

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Water streaming from shower head
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Summary

Low-flow fixtures reduce GHG emissions by reducing the volume of hot water used and therefore reducing the emissions from the energy used to heat that water. Reduced water usage also leads to fewer emissions from treating and pumping water for domestic use. Low-flow fixtures are low-cost and simple to install. They generate utility bill savings for households and support sustainable water resource management. Modern quality low-flow fixtures have resolved many of the performance issues of earlier versions. Even with significant adoption, however, the total emissions reduction potential for low-flow fixtures is relatively small. We conclude that, despite its modest emissions impact, Use Low Flow Fixtures is “Worthwhile” due to its relative ease, low cost, and additional benefits.

Description for Social and Search
Low-flow fixtures reduce GHG emissions by reducing the volume of hot water that is used and therefore reducing the emissions from the energy used to heat that water.
Overview

What is our assessment?

Based on our analysis, using low-flow fixtures is a cost-effective strategy for reducing water consumption, but has only a modest impact on GHG emissions. Therefore, this climate solution is “Worthwhile.

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? Yes

What is it?

Low-flow fixtures lessen the total consumption of water by reducing flow rates through a household faucet or shower. Less hot water use means fewer emissions from the energy source used to heat the water, and it also means fewer emissions from pumping and treating tap water. Heating water for showers, sinks, and other domestic appliances is often the second largest source of emissions from buildings after space heating. Modern low-flow showerheads can produce comparable pressure and coverage to traditional showerheads through aeration and/or laminar flow. Aerators for faucets and low-flow showerheads are relatively low-cost investments that users can install themselves.

Does it work?

Low-flow fixtures reduce emissions from heating, delivering, and treating water by reducing hot water consumption. There is ample evidence for water savings with low-flow fixtures, as well as for the linkage between quantity and source of energy used for water heating and GHG emissions. Additionally, there is substantial research on the emissions from treating and pumping water, which can be reduced through water conservation. Low-flow fixtures are readily available, and performance labels are available to help consumers select quality products.

Why are we excited?

Low-flow fixtures conserve water, which reduces emissions, reduces energy demand, saves consumers money, and helps with sustainable water resource management. Households that adopt low-flow fixtures can enjoy significant utility bill savings because these fixtures reduce both water consumption and the energy used to heat water in the home. Faucet aerators also produce a smoother water stream with less splashing, and along with low-flow showerheads, are low-cost and simple to install. Household water conservation practices, such as low-flow fixtures, can help with regional sustainable water resource management and defer infrastructure expansion projects. This is particularly important in areas where water resources are increasingly strained due to climate change, growing populations, and other factors. In some regions, community water conservation efforts have had measurable impacts on water treatment costs, resulting in lower water rates for consumers.  

Why are we concerned?

Even with widespread adoption, low-flow fixtures would have a relatively small impact on GHG emissions. Moreover, the low cost and ease of replacement mean that low-flow fixtures can be easily reverted to less efficient fixtures, eliminating the emissions impact and other benefits. Lastly, although modern quality low-flow showerheads are comparable to traditional fixtures, the poor quality of early low-flow showerheads may have contributed to decreasing levels of adoption in some areas.

Solution in Action

References

Alliance for water efficiency. (2017). Conservation keeps rates low in Tucson, Arizona. Link to source: https://allianceforwaterefficiency.org/wp-content/uploads/2017/06/AWE_Tucson_ConsRates_FactSheet_final.pdf

Dieu-Hang, T., Grafton, R. Q., Martínez-Espiñeira, R., & Garcia-Valiñas, M. (2017). Household adoption of energy and water-efficient appliances: An analysis of attitudes, labelling and complementary green behaviours in selected OECD countries. Journal of Environmental Management, 197, 140–150. Link to source: https://doi.org/10.1016/j.jenvman.2017.03.070

Environmental protection agency. (2022). WaterSense performance overview: Showerheads. Link to source: https://www.epa.gov/system/files/documents/2022-05/ws-products-perfomance-showerheads.pdf

Kenway, S. J., Pamminger, F., Yan, G., Hall, R., Lam, K. L., Skinner, R., Olsson, G., Satur, P., & Allan, J. (2023). Opportunities and challenges of tackling Scope 3 “Indirect” emissions from residential hot water. Water Research X, 21, 100192. Link to source: https://doi.org/10.1016/j.wroa.2023.100192

Maas, A., Puri, R., & Goemans, C. (2024). A review of residential water conservation policies and attempts to measure their effectiveness. PLOS Water, 3(8), e0000278. Link to source: https://doi.org/10.1371/journal.pwat.0000278

Paraschiv, S., Paraschiv, L. S., & Serban, A. (2023). An overview of energy intensity of drinking water production and wastewater treatment. Energy Reports, 9, 118–123. Link to source: https://doi.org/10.1016/j.egyr.2023.08.074

Pomianowski, M. Z., Johra, H., Marszal-Pomianowska, A., & Zhang, C. (2020). Sustainable and energy-efficient domestic hot water systems: A review. Renewable and Sustainable Energy Reviews, 128, 109900. Link to source: https://doi.org/10.1016/j.rser.2020.109900

Tomberg, L. (2024). Resource conservation through improved efficiency, behavioral change, or both: Willingness to pay for (smart) efficient shower heads. Resources, Conservation and Recycling, 203, 107387. Link to source: https://doi.org/10.1016/j.resconrec.2023.107387

Yateh, M., Li, F., Tang, Y., Li, C., & Xu, B. (2024). Energy consumption and carbon emissions management in drinking water treatment plants: A systematic review. Journal of Cleaner Production, 437, 140688. Link to source: https://doi.org/10.1016/j.jclepro.2024.140688

Zhou, Y., Essayeh, C., Darby, S., & Morstyn, T. (2024). Evaluating the social benefits and network costs of heat pumps as an energy crisis intervention. iScience, 27(2), Article 2. Link to source: https://doi.org/10.1016/j.isci.2024.108854 

Credits

Lead Fellow

  • Heather McDiarmid, Ph.D.

Internal Reviewer

  • Christina Swanson, Ph.D.
Speed of Action
Caveats
Additional Benefits
Risks
Consensus
Trade-offs
Action Word
Use
Solution Title
Low-Flow Fixtures
Classification
Worthwhile
Updated Date
Coming Soon Label
Coming Soon
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