Energy Modeling & Pathways
Energy Modeling and Pathways
ETA international researchers have developed and continually refined detailed, bottom-up national energy end-use models to evaluate potential future pathways and road maps for two key countries with fast-growing energy demand: China and India. Begun in 2005 in response to a growing policy focus in the Chinese government on energy efficiency, we developed the China 2050 DREAM model. This was followed by the development of the India 2050 DREAM model, and work is currently underway to develop similar national models for Mexico, Indonesia and South Africa. These models build on detailed stock turnover modeling for end-uses developed in BUENAS.
Our national models have been used to:
- Perform detailed energy and emissions analyses at national, sectoral and technology levels
- Conduct retrospective and prospective sectoral and cross-cutting policy impact evaluation
- Evaluate energy demand and supply options
- Develop medium- and long-term outlooks for low-emissions pathways for greenhouse gases and air pollutants
Modeling Capabilities and Applications
A modernized power grid fueled by renewable energy is at the heart of China’s pledge to reach carbon neutrality by 2060, and a new study by researchers at the U.S. Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) outlines how China can overcome the current logistical challenges of decarbonizing its power system by reforming some key select operational practices.
Key findings from the 2020 China Energy Outlook report — which outlines a path for continuous improvement of energy efficiency and emissions through 2050 in China — were recently highlighted by the American Council for an Energy-Efficient Economy (ACEEE).
India has set ambitious targets for renewable power, with plans to quintuple its current wind and solar energy capacity by 2030. The country’s transition away from fossil fuels will have a significant impact on global climate efforts, since it is the world’s third-largest greenhouse gas emitter – although its per capita emissions are below the global average.