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arXiv · 2410.00016

A Dataset of the Operating Station Heat Rate for 806 Indian Coal Plant Units using Machine Learning

Yifu Ding·Jansen Wong·Serena Patel·Dharik Mallapragada·Guiyan Zang·Robert Stoner
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Abstract

India aims to achieve net-zero emissions by 2070 and has set an ambitious target of 500 GW of renewable power generation capacity by 2030. Coal plants currently contribute to more than 60\% of India's electricity generation in 2022. Upgrading and decarbonizing high-emission coal plants became a pressing energy issue. A key technical parameter for coal plants is the operating station heat rate (SHR), which represents the thermal efficiency of a coal plant. Yet, the operating SHR of Indian coal plants varies and is not comprehensively documented. This study extends from several existing databases and creates an SHR dataset for 806 Indian coal plant units using machine learning (ML), presenting the most comprehensive coverage to date. Additionally, it incorporates environmental factors such as water stress risk and coal prices as prediction features to improve accuracy. This dataset, easily downloadable from our visualization platform, could inform energy and environmental policies for India's coal power generation as the country transitions towards its renewable energy targets.

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Yifu Ding, Jansen Wong, Serena Patel, Dharik Mallapragada, Guiyan Zang, Robert Stoner. 2024-09-14. A Dataset of the Operating Station Heat Rate for 806 Indian Coal Plant Units using Machine Learning. https://arxiv.org/abs/2410.00016

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