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Low-Carbon Economic Optimization Model for Pre-Scheduling and Re-Scheduling of Park Integrated Energy System Considering Embodied Carbon

組込み炭素を考慮したパーク統合エネルギーシステムの事前・再スケジューリングのための低炭素経済最適化モデル (AI 翻訳)

Yuhua Zhang, Mingxuan Zhang

Energies📚 査読済 / ジャーナル2026-04-09#炭素価格Origin: CN経営インパクト: コスト削減対象セクター: energy
DOI: 10.3390/en19081850
原典: https://doi.org/10.3390/en19081850

🤖 gxceed AI 要約

日本語

本研究は、パーク統合エネルギーシステム（PIES）の低炭素移行において、ライフサイクル段階的炭素取引と低炭素デマンドレスポンス（LCDR）を統合した二層最適スケジューリング手法を提案。新エネルギー設備の製造・輸送に伴う組込み炭素を考慮し、動的炭素排出係数に基づくLCDRモデルを構築。中国南部のパークでのシミュレーションにより、炭素排出を16.7%削減し、LCDRでさらに4.05%削減することを実証。

English

This study proposes a two-layer optimal scheduling method for park integrated energy systems (PIESs) that integrates life-cycle stepwise carbon trading and low-carbon demand response (LCDR). It incorporates embodied carbon from new energy equipment manufacturing and transportation, and constructs dynamic carbon emission factors for power and heating networks. Simulations on a South China park show a 16.7% emission reduction from carbon trading and an additional 4.05% from LCDR, with slight cost increase.

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

日本ではSSBJ開示やカーボンプライシング導入が進む中、ライフサイクル視点の炭素会計と需要応答の統合は、工場・産業団地のエネルギー管理に示唆を与える。特に、再生可能エネルギー導入時の組込み炭素を考慮した排出削減評価は、日本の企業のサプライチェーン排出削減にも応用可能。

In the global GX context

This paper contributes to global GX scholarship by integrating life-cycle carbon accounting with demand response in energy system optimization. It offers a practical framework for industrial parks to balance carbon reduction and economic efficiency, relevant to ISSB-aligned disclosure and transition finance.

👥 読者別の含意

🔬研究者:Provides a novel integrated framework combining life-cycle carbon trading and demand response for PIES optimization, with quantitative emission reduction results.

🏢実務担当者:Offers a scheduling model that can be adapted for industrial park energy management to reduce carbon emissions while controlling costs.

🏛政策担当者:Demonstrates the effectiveness of stepwise carbon trading mechanisms and low-carbon demand response in achieving significant emission reductions in industrial parks.

📄 Abstract（原文）

To address the issues that carbon trading fails to cover the full life cycle and that traditional demand response achieves poor emission reduction due to a lack of accurate carbon-intensity feedback in park integrated energy systems (PIESs) during low-carbon transition, this study proposes a two-layer optimal scheduling method synergizing life-cycle stepwise carbon trading and low-carbon demand response (LCDR) to balance low-carbon performance and economic efficiency. Firstly, based on life cycle theory, embodied carbon from new energy equipment manufacturing and transportation is incorporated into accounting, with a stepwise carbon trading mechanism designed. Secondly, corrected dynamic carbon emission factors for power and heating networks are constructed to quantify real-time carbon intensity. A dual-driven LCDR model (electricity price and carbon factor) is established to coordinate shiftable and sheddable electric-thermal loads and is combined with a two-layer scheduling model (pre-scheduling and re-scheduling) targeting the minimal total operation cost. Simulation results of a South China park show that life-cycle stepwise carbon trading reduces emissions by 16.7%, and LCDR further cuts 4.05%. Their synergy achieves significant carbon reduction with a slight cost increase, while supplementary sensitivity analyses further confirm the scalability and robustness of the proposed framework under varying load levels and demand response capabilities.

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