Decarbonizing the Indian Power Sector by 2037: Evaluating Different Pathways that Meet Long-Term Emissions Targets

The Indian government is aiming to reduce carbon emissions intensity in the power sector through incentivizing the addition of renewables sources into the grid. India has set the goal that at least 40% of total power capacity must be non-fossil fuel-based by 2030 with more ambitious goals expected to be set for 2040 and 2050. To meet the decarbonization goals by the next decades, the central government is promoting a large-scale development of wind turbines and solar photovoltaic power plants. Achieving long-term decarbonization in the Indian power sector presents several challenges to the current electric grid. For example, the current generation mix relies heavily on coal power plants such that integrating solar and wind plants (i.e., variable renewable energy (VRE) sources) add several layers of economic and technical complexity. Other challenges include improving the national quality of service and reducing local emissions. The overall effect is amplified by India’s rapidly increasing electricity consumption, which has necessitated the build-out of additional capacity to meet the future load. The following thesis analyzes potential pathways to the decarbonization of India’s grid by 2037. The study explores 24 different scenarios, each considering different technology costs (solar, wind, and storage), setting different gas prices, and defining different emissions limits. The analysis uses the capacity expansion model “GenX” developed internally at MIT. GenX is a deterministic capacity expansion planning model. The model optimizes generation, storage, and transmission capacity expansion decisions and dispatch of generation and storage resources on an hourly basis to meet the electricity demand in a year, at the lowest cost possible. The study successfully identifies the trade-offs between system costs, global emissions, and local emissions levels for different scenarios, enabling the assessment of the long-term impact of large infrastructure decisions in the electric power sector.