セラミック産業における炭素排出量のデータ駆動評価と炭素排出量削減の最適化
1School of Mathematics and Statistics, Guangdong University of Technology, Guangzhou 510520, China.
Entropy (Basel, Switzerland)
|August 28, 2025
まとめ
この研究は,統計モデルを使用して,陶器産業の炭素排出量を定量化し,
科学分野:
- 環境科学
- 産業エコロジー
- データサイエンス
背景:
- 陶器産業は炭素排出に大きく貢献しています
- 炭素排出量における地域格差の評価は,標的を絞った緩和に不可欠です.
- 炭素排出の要因を理解することは 効果的な削減戦略の開発に不可欠です
研究 の 目的:
- 中国の主要セラミック生産地域の炭素排出量を量的に評価し比較する.
- 陶器産業における炭素排出に影響を与える主要な要因を特定する.
- 低炭素変換と排出削減のための実行可能な経路を提案し,検証する.
主な方法:
- エントロピー重量 炭素排出量の定量評価のためのTOPSISモデル
- XGBoost-SHAPは,炭素排出の主要な要因を特定するために,組み合わせたモデリングを行いました.
- 傾向分析と政策探求のための統計予測とマルチエージェントの炭素取引シミュレーションモデル
主要な成果:
- フォシャンはジンデシェンとジボに比べて 炭素排出量がかなり高い.
- 高いエネルギー消費,原炭への依存 (25.84%の弾性) と環境への投資の不足が重要な問題です.
- 天然ガスの代替を含むエネルギー構造の最適化は,2017年以降の炭素排出量の減少につながる可能性があります.
結論:
- 統計モデリングとデータ分析は,陶器産業の炭素排出量に関する正確な定量的な洞察を提供します.
- エネルギー構造の最適化や二酸化炭素取引を含む 標的型排出量削減の経路は実現可能である.
- この研究は,データベースのモデリングを通じて,セラミック部門におけるグリーン・トランスフォーメーションの実現可能性を検証しています.
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