gxceed
← 論文一覧に戻る

Carbon Emission Accounting and Low-Carbon Retrofit Evaluation of Power Grid Projects Based on Improved PSO-DRESN Method

改良PSO-DRESN法に基づく電力系統プロジェクトの炭素排出会計と低炭素改修評価 (AI 翻訳)

Chen Wang, Songyuan Liu, Guoqing Li, Yichuan Jin, Peidong Li, Xiaohui Wang, Lingfeng Tan, Li Tong

Preprints.orgプレプリント2026-07-02#AI×ESG経営インパクト: コスト削減対象セクター: power
DOI: 10.20944/preprints202607.0164.v1
原典: https://doi.org/10.20944/preprints202607.0164.v1

🤖 gxceed AI 要約

日本語

本研究は、電力系統プロジェクト(PGP)を11の標準モジュールに分解し、改良PSO-DRESNモデルを用いてモジュール別の炭素クォータを高精度に決定する枠組みを提案。500kV PGPのライフサイクル排出量は13,569.1 tCO2eで、運用保守段階が54.4%を占める。高容量導体や低損失変圧器が最も炭素弾力的な介入策と特定され、断片的なエンジニアリングデータを標準化されたモジュールクォータに変換することで、系統管理者にライフサイクルベースの炭素ベンチマークと脱炭素戦略最適化のための科学的ツールを提供する。

English

This study proposes a framework that decomposes power grid projects into 11 standard modules and uses an improved PSO-DRESN model to determine modular carbon quotas with high precision. Empirical analysis of a 500kV PGP reveals a lifecycle footprint of 13,569.1 tCO2e, with O&M as the dominant phase (54.4%). High-capacity conductors and low-loss transformers are identified as the most carbon-elastic interventions, transforming fragmented engineering data into standardized modular quotas for utility managers to set lifecycle carbon benchmarks and optimize decarbonization strategies.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

本論文は、系統プロジェクトの炭素排出量をモジュール単位で精緻に評価する手法を提供し、日本の電力事業者がSSBJ対応やGHG排出量の見える化を進める上で参考になる。特に、運用段階が排出の過半を占める点は、日本の既存インフラの長寿命化・効率化を検討する際に重要である。

In the global GX context

This paper presents a modular lifecycle accounting framework for power grid projects, relevant to global TCFD/ISSB-aligned carbon disclosure and transition finance. The finding that O&M phase dominates emissions highlights the need for asset management strategies that extend beyond construction, offering a benchmark for utilities worldwide to identify carbon-elastic retrofit measures.

👥 読者別の含意

🔬研究者:The modular accounting method and IPSO-DRESN model provide a novel approach for carbon quantification in infrastructure projects, applicable to other sectors.

🏢実務担当者:Utility managers can use the modular quotas and identified carbon-elastic interventions (e.g., high-capacity conductors) to prioritize low-carbon retrofits.

🏛政策担当者:The framework supports setting lifecycle-based carbon benchmarks for grid infrastructure, informing national decarbonization policy and grid modernization plans.

📄 Abstract(原文)

Power Grid Projects (PGPs) are pivotal to energy transition, yet their complex engineering structures hinder precise carbon quantification. This study proposes a modular carbon emission accounting and evaluation framework for different types of PGPs. By deconstructing projects into 11 typical modules, we establish a modular-lifecycle that aligns physical engineering logic with carbon characteristic extraction. The research develops an automated method-matching engine and utilizes an Improved Particle Swarm Optimization-Deep Reservoir Echo State Network (IPSO-DRESN) model to determine modular carbon quotas with high precision. Empirical analysis reveals that the total lifecycle footprint of 500kV PGP is 13,569.1 tCO2e. The Operation and Maintenance (O&M) phase is the dominant emission source (54.4%), while the Production and Construction (P&C) phase (38.2%) is characterized by intense mechanical energy consumption. This research further establishes a low-carbon retrofit evaluation system, identifying high-capacity conductors and low-loss transformers as the most “carbon-elastic” interventions. By transforming fragmented engineering data into standardized modular quotas, this study provides a rigorous scientific tool for utility managers to implement lifecycle-based carbon benchmarks and optimize decarbonization strategies in the power sector.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。