インドの石炭火力発電所806基の稼働ステーションの熱率に関するデータセット
Yifu Ding1, Jansen Wong2, Serena Patel1
1MIT Energy Initiative, Massachusetts Institute of Technology, United States.
Data in brief
|August 21, 2025
まとめ
この研究は機械学習を用いて インドの石炭火力発電所の効率性に関する包括的なデータセットを作成した. インドを裏付けています
科学分野:
- エネルギー政策
- 環境科学
- 機械学習
背景:
- インドは2070年までに排出をゼロにし,2030年までに再生可能エネルギーの500GWを目標としています.
- 石炭発電は依然として支配的であり,2025年には発電能力の47%,発電量の70%以上を占める.
- 既存の石炭火力発電所の脱炭素化は インドのエネルギー移行に不可欠です
研究 の 目的:
- インドの石炭火力発電所の稼働率 (SHR) に関する包括的なデータ不足を解決する.
- インドの石炭火力発電所806の最も広範なSHRデータセットを開発する.
- インドの再生可能エネルギー目標のためのエネルギーと環境政策立案を支援する.
主な方法:
- 既存のデータベースを活用して 石炭火力発電所の稼働データを作成しました
- SHRデータセットを作成するために機械学習 (ML) モデルを使用しました.
- 予測の精度を高めるため,水圧や石炭価格などの環境要因を組み込みました.
主要な成果:
- インドの石炭火力発電所806基をカバーする包括的なデータセットを開発しました.
- このデータセットは,熱効率の変動に関する詳細な洞察を提供します.
- 統合された環境要因は,SHRの予測の精度を向上させました.
結論:
- 作成されたSHRデータセットは,インドの石炭火力発電所にとってこれまでで最も包括的なものです.
- このリソースは,石炭工場の効率を理解し,改善するのに役立ちます.
- インドのエネルギーと環境政策の情報に基づいた意思決定を促進します.
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