The power sector currently accounts for around 40 percent of annual greenhouse gas emissions to the atmosphere, making it the highest-emitting sector, followed by industry and transportation. Of total worldwide electricity generation, fossil fuels represent 67 percent, nuclear 11 percent, and renewable energy sources just over 24 percent and growing, with the bulk (18 percent) being from large hydropower systems. In the last few years, the competitiveness of renewable sources for electricity generation has continued to increase due to the price evolution and the efficiency improvements of these technologies.
The Drawdown Energy Sector includes solutions for electricity generation both centralized and decentralized—such as onshore wind power and rooftop solar panels, respectively—and enabling technologies such as electricity storage systems that foster large-scale integration of renewable energy sources.
Included in Project Drawdown’s rankings of the 100 most substantive solutions to global warming are 20* of the most impactful solutions for reducing greenhouse gas emissions, or for supporting the adoption and implementation of other solutions, in the electricity generation (or “Energy”) sector.
The solutions included in this sector have significant positive climate and financial impacts in the short, medium, and long term, since they can replace conventional electricity generation technologies such as coal, natural gas, and oil power plants.
*In the Drawdown book, solar water and methane digesters - small are included in this sector, while landfill methane is under the Buildings and Cities Sector for communication reasons. However, landfill methane was accounted under the modeling framework of the Energy Sector due to the common addressable market. The other two solutions were modeled under the Buildings and Cities Sector.
Each solution in the Energy Sector was modeled individually, and then integration was performed to ensure consistency across the sector and with the other sectors. Information gathered and data collected were used to develop solution-specific models that evaluate the potential financial and emission-reduction impacts of each solution when adopted globally from 2020-2050. Models compare a Reference Scenario that assumes current adoption remains at a constant percent of current electricity generation, with high adoption scenarios assuming a reasonably vigorous global adoption path. In doing so, the results reflect the full impact of the solution, i.e. the total 30-year impact of adoption when scaled beyond the solution’s current status.
The Drawdown Energy Sector solutions that generate electricity share a common market for future adoption, i.e. an electricity generation market. The total addressable market for these solutions is supported by the electricity generation results from a combination of models and scenarios from different sources (AMPERE, 2014; Greenpeace, 2015; IEA, 2016).
Three market prognostication scenarios were driven by comparable scenarios from each source, under distinct climate mitigation expectations (Ambitious, Conservative, and Reference). The Ambitious scenario is calculated from the 2ºC Scenario of IEA ETP 2016; the 450 Scenarios of AMPERE (i.e. GEM-E3, MESSAGE-Macro, and IMAGE/TIMER), and the Energy [R]evolution Scenario from Greenpeace. The Conservative scenario follows the average of the 550 Scenarios of AMPERE models and the 4ºC Scenario of IEA ETP. The Reference Scenario is built by the average of the 6°C Scenario of IEA ETP and the Reference Scenarios of AMPERE models and Greenpeace. The Greenpeace Advanced [R]evolution Scenario was excluded from these calculations since it considers a very ambitious scenario, with 100% renewable electricity generation imposed on the energy system. Therefore, it is not comparable to any of the other scenarios, but is considered as a higher benchmark.
Three Project Drawdown Energy Sector scenarios were developed for each solution:
The majority of the electricity generation solutions have published adoption projections (either at a regional or global level), which were used to build our scenarios. From an integration point of view, all the energy solutions interact with each other, since they are all framed within a common total addressable market (Figure 2). If the sum of the total individual solutions adoption exceeded the total addressable market, individual adoptions were revised through a pre-defined priority ranking, following other collected alternative pathways. No-regrets solutions were considered as high priority and were not reduced, while regrets and transitional solution adoptions were assumed to be the first to change, if needed. In the Drawdown and Optimum Scenarios, the adoption of transitional and regrets solutions such as nuclear, cogeneration, waste-to-energy, and other waste-related solutions is reduced, with some, having no market share in the electricity generation portfolio by 2050.
Energy Sector solutions may also interact with other sectors’ solutions both as a whole, since the increased adoption of a solution can increase or reduce the need for electricity, and individually, since solutions in other sectors can influence and constrain the adoption of solutions in this sector. Therefore, through the process of integrating individual solutions with other solutions, the total addressable market for electricity generation technologies was adjusted to account for reduced demand resulting from the growth of more energy-efficient technologies such as LED lighting and heat pumps, as well as increased electrification from other solutions like electric vehicles and high-speed rail. Grid emissions factors were calculated based on the annual mix of different electricity-generating technologies over time. Emissions factors for each technology were determined through a meta-analysis of multiple sources, accounting for direct and indirect emissions.
Together, Drawdown’s Energy Sector solutions are ranked second after Food in their global impact on greenhouse gas emissions. They are responsible for 23.41 percent of the mitigation impact in the Plausible Scenario (i.e. 246.14 gigatons of carbon dioxide-equivalent gases from 2020-2050, or 8.2 gigatons per year), 24.97 percent in the Drawdown Scenario (360.21 gigatons, 12.01 gigatons per year), and 21.92 percent in the Optimum Scenario (353.45 gigatons, 11.78 gigatons per year). These impacts include the negative impacts of nuclear and cogeneration adoption reduction in the Drawdown and Optimum Scenarios (Figure 2).
Looking at individual solutions in the Plausible Scenario (Figure 4), wind turbines (onshore) account for 35 percent of total Energy Sector avoided greenhouse gas emissions from 2020-2050, followed by solar farms (15 percent), rooftop solar photovoltaics (10 percent), geothermal (7 percent), nuclear (7 percent), wind turbines (offshore) (6 percent), and concentrated solar power (5 percent). All the other solutions account for the remaining 15 percent, representing less than 5 percent per solution. Enabling solutions such as storage systems, grid flexibility, and micro grids have no emission and financial impact results, since they have complicated system dynamics and their emissions impacts are accounted for in the individual solutions themselves, preventing double counting. Mitigation impacts for all the three studied scenarios by solution are depicted in Table 1.
© 2017 Project Drawdown
|Total Atmospheric Greenhouse Gas Reduction (in Gigatons)|
|Plausible Scenario||Drawdown Scenario||Optimum Scenario|
|Energy storage (distributed)||N/A||N/A||N/A|
|Energy storage (utilities)||N/A||N/A||N/A|
|Methane digesters (large)||8.40||8.10||8.32|
|Methane digesters (small)||1.90||2.6||9.83|
|Wave and tidal||9.20||14.70||13.61|
|Wind turbines (offshore)||14.10||16.00||19.72|
|Wind turbines (onshore)||84.60||146.50||139.31|
© 2017 Project Drawdown
Significant financial benefits are available through the adoption of Drawdown’s Energy Sector solutions, with over US$4,923.36 billion in total net costs but with US$20,958.67 billion in lifetime savings when compared to conventional electricity generation technologies (Table 2).
Net Implementation Costs (Billion US$)
|Net Operational Savings (Billion US$)|
|Energy storage (distributed)||N/A||N/A|
|Energy storage (utilities)||N/A||N/A|
|Methane digesters (large)||201.41||148.83|
|Methane digesters (small)||15.50||13.90|
|Waste to energy||36.00||19.82|
|Wave and tidal||411.84||-1,004.70|
|Wind turbines (offshore)||572.40||274.57|
|Wind turbines (onshore)||1,225.37||7,425.00|
© 2017 Project Drawdown
The International Energy Agency, in their published “Energy Technology Perspectives 2016”, presented the modeling results of three different climate mitigation scenarios for electricity generation and capacity, final energy demand by end use, and total carbon dioxide emissions, among others. These scenarios—6°C, 4°C, and 2°C—are increasingly aggressive for the adoption of renewable energy generation sources and other low-carbon generation technologies such as nuclear, and for efficient technologies in final energy sectors such as buildings and transportation. This technological portfolio induces the compliance with the mitigation goals. The 6°C Scenario (“6 degrees of average temperature increase above pre-industrial levels by 2100”) is closely comparable to the Drawdown Reference Scenario, while the 2°C currently represents their most aggressive scenario. Emissions reduction estimations in the 2°C compared to their 6°C indicate:
Overall, Project Drawdown’s Plausible Scenario analysis for the Energy Sector (only considering the electricity generation technologies) shows an emissions mitigation impact below the IEA's results for a shift from the 6°C to the 2°C Scenario (just over 15.5 gigatons in 2050 compared to the Reference Scenario). The Drawdown Scenario has a similar, but higher impact, with 21.6 gigatons avoided. The Optimum Scenario, with 18.5 gigatons avoided, is below IEA results.
This variation can, in part, by accounted for by the following differences in Project Drawdown and the IEA’s analyses:
The importance of the electricity generation sector is clear for a low-carbon future and for drawdown pathways. In this sector, the cost-effectiveness of emissions reduction is usually higher than in other sectors. Relying on a combination of electricity generation solutions will be of great importance, while acknowledging regional differences in resource potential and the development stages of countries. The three Drawdown scenarios rank the Energy Sector highly among the overall group of solutions. In the Plausible Scenario, 3 Energy solutions are in the top 10; 5 are in the top 20; and 13 are in the top 50. In the Drawdown and Optimum Scenarios, their rankings increase significantly.
The links between this sector and all the others is important, but major interactions occur with energy demand-side sectors like Transport and Buildings and Cities, with energy efficiency and demand reduction solutions affecting the need for increased generation capacity, and with an overall electrification of end uses calling for more electricity generation.
What are regrets solutions?
A regrets solution has a positive impact on overall carbon emissions; however, the social and environmental costs are harmful and high. Examples of this are nuclear and waste-to-energy.
How is the technical potential of each generation technology included?
The Drawdown scenarios of technological adoption are driven by the results of highly reputed sources that already accounted for regional/world level potentials within their energy system models.
Did you model the future impacts of climate change on the electricity generation technologies?
Due to the uncertainties in both the magnitude and location of regional-level effects, we did not account for climate change impacts on electricity generation technologies. The production of electricity from hydroelectric power is potentially the most affected by climate change, since it is dependent on river flow regimes, which in turn are related to variations in precipitation and temperature. Solar power and wind might also be affected due to changes in solar radiation, in the magnitude and variability of wind speed, and more.
Did you consider scenarios of energy prices?
Predicting future global average prices over a thirty-year timeframe is highly uncertain. In the absence of reliable projections of future prices, we evaluate the historical prices for energy: e.g. steam coal (per ton), natural gas (per megawatt-hour), fuel oil (per ton) for electricity generation; liquefied petroleum gas, gasoline, diesel (per liter), electricity for households and industries (per kilowatt-hour), and others, over a 10-year period from 2004-2014 (IEA, 2016b). We use the mean value from this reported data as the fixed input for energy prices throughout the period in question. We recognize that prices will change of time, and there is significant variation in different parts of the world. In some scenarios, it is possible to imagine global average prices increasing substantially; in other scenarios, prices might decline. We expect that prices will fluctuate based on a variety of dynamic factors that we cannot reasonably estimate at this time.
How was future economic development considered in the modeling work?
Economic activity is an important driver of demand for energy services. The Drawdown scenarios of technological adoption are driven by the results of highly reputed sources that consider in their modeling gross domestic product (GDP) trajectories that are common within their studied scenarios. For example, the GDP growth assumptions from IEA ETP (2016a) are used across scenarios and retrieved from the IEA World Energy Outlook (IEA, 2015) and World Economic Outlook Database of the International Monetary Fund (IMF, 2015). The Greenpeace Energy [R]evolution (2015) also use the same economic development projections across scenarios, and are based on the IEA World Energy Outlook projections (IEA, 2014).
These GDP trajectories neglect the expected impact that high average temperature increase (as high as 4-6°C), changes in the economic structure, and redistribution of financial, human, and physical capital would have on the global GDP growth.
How are the possible technological developments of each solution and evolution of investment costs being considered?
Many solutions may become outdated, significantly improved, or supplanted by new technologies or practices within the period under analysis. These developments are not considered in our modeling due to the absence of existing, reliable data. We know that capacity factors are improving over time; we expect embodied energy to decrease with the more efficient manufacturing of equipment; we anticipate technological advances to allow for production with fewer demands on limited natural resources. However, these developments are not in our capacity to model at this time, and we instead focus on technologies and practices that exist now as they are today. This allows us to be more conservative in our assessment.
Why is Carbon Capture and Storage (CCS) not listed as a solution?
We choose not to include CCS in mitigation efforts between now and 2050 because we do not believe it will play a major role in greenhouse gas abatement. In order for CCS to become cost-effective, it would need to be deployed at a large enough scale to drive carbon capture technology down the learning curve. Currently, the extra cost associated with carbon capture and the low commercial value of carbon dioxide has limited the willingness of power generators and other emitters to invest in CCS technology. Additionally, CCS raises concern over the possibility of long-term leakage of gaseous carbon dioxide from underground storage, which would negate the climate benefits of CCS.
To date, there have been several pilot-scale CCS projects, and many more projects that have been canceled or postponed. The impact of CCS is directly tied to the proportion of fossil fuels in the future electricity mix, but its progress will be impeded by the massive projected growth in renewable electricity. Our Plausible Scenario entails reduced reliance on fossil energy, which will minimize both the feasibility and the impact of CCS.
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