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Power Sector Transition Plan of a Coal-Rich Region in India with High-Resolution Spatio-Temporal Data Based Model
Journal Article
1 December 2024
Abstract
This paper argues that a fit-for-purpose model and datasets are necessary to generate transition pathways for the electricity generation sector at the subnational level. The study presents methodology, data, and results focusing at West Bengal, India. Results show that integrating demand-side flexibility (DSF) leads to transformative outcomes: adopting a thermal mix renewable scenario with intraday load-shifting could reduce 77% of CO2 emissions by 2040 with a 13% increase in total investment.
Summary
Demonstrates how high-quality regional data can help plan a coal-heavy region of India's transition to clean electricity — making the case that national-level models are too coarse and that subnational detail matters for realistic transition planning.
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