低炭素経済に向けた産業団地の電力・水素・熱システム最適化：非線形分極特性と廃熱利用を考慮して
Optimizing Industrial Park Power–Hydrogen–Thermal Systems for Low-Carbon Economy: Accounting for Nonlinear Polarization and Waste-Heat Utilization (原題)
Fengkun Ji, Yu Li, Xuyang Chu, Zhenfeng Wang, Kun Tang, Duowang Xu, Siyuan Liu, Xinning Zhu
🤖 gxceed AI 要約
日本語
産業団地の高炭素排出・高運用コスト・再エネ出力抑制を解決するため、電力・水素・熱統合システムの多目的最適運用手法を提案。水素変換機器の非線形効率を分極特性に基づく負荷依存低次元モデルで表現し、燃料電池廃熱を熱需給に組み込むカスケード利用を導入。NSGA-IIとファジィ理論で運用コストと炭素排出を最小化する妥協解を導出。新疆の化学産業団地のケースで再エネ100%吸収・出力抑制ゼロを達成し、コスト81.5%減・炭素75.3%減、既存再エネ資産のIRRが5.8%から8.3%へ向上した。
English
This paper proposes a multi-objective optimal dispatch method for an integrated electricity–hydrogen–thermal system in industrial parks, using load-dependent reduced-order models to capture nonlinear hydrogen equipment efficiency and cascading fuel-cell waste heat into the thermal balance. A bi-objective model minimizing daily operating cost and carbon emissions is solved via improved NSGA-II and fuzzy set theory. In a Xinjiang chemical park case, it achieves 100% renewable accommodation with zero curtailment, cutting daily cost by 81.5% and emissions by 75.3%, and raising legacy renewable asset IRR from 5.8% to 8.3%.
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
日本では産業部門の脱炭素と再エネ大量導入に伴う出力抑制が課題であり、水素・熱のカスケード利用と廃熱回収による統合運用は、工場団地やコンビナートのGX実装、Scope1/2削減の実務設計に示唆を与える。
In the global GX context
Globally, industrial parks are a key frontier for Scope 1/2 abatement and renewable integration; this work links hydrogen conversion efficiency, waste-heat recovery, and multi-objective dispatch to both emissions and financial returns, informing transition planning and disclosure of operational decarbonization pathways.
👥 読者別の含意
🔬研究者:水素変換の非線形効率と廃熱カスケードを組み込んだ多目的運用モデルの定式化と解法が参考になる。
🏢実務担当者:産業団地・工場での水素・熱統合運用により、再エネ出力抑制回避と運用コスト・炭素削減、既存再エネ資産の収益改善が期待できる。
🏛政策担当者:産業部門の脱炭素と再エネ吸収を両立する統合エネルギー運用の政策的支援（廃熱利用・水素導入）の根拠となり得る。
📄 Abstract（原文）
To address high carbon emissions, high operational costs, and severe renewable-energy curtailment in industrial parks, this paper proposes a multi-objective optimal dispatch method for an integrated electricity–hydrogen–thermal energy system. First, load-dependent reduced-order models informed by polarization characteristics are employed to represent the nonlinear efficiency characteristics of hydrogen conversion equipment, alongside a hydrogen–thermal cascade utilization strategy that incorporates recoverable fuel-cell waste heat into the aggregate industrial thermal-energy balance. On this basis, a bi-objective optimal scheduling model aiming to minimize daily operating costs and daily operational carbon emissions is formulated and solved via an improved NSGA-II algorithm and fuzzy set theory to extract the optimal compromise scheme. In a case study of a typical chemical industrial park in Xinjiang, the proposed framework achieves 100% renewable-energy accommodation, with zero wind and solar curtailment over the studied 24 h scheduling horizon. Compared to the baseline hydrogen-free model, daily operating costs and daily operational carbon emissions drop by 81.5% and 75.3%, respectively, with a 25.23% thermal waste-heat coverage ratio achieved. Concurrently, the internal rate of return for legacy renewable assets rises from 5.8% to 8.3%. These findings provide technical decision support for the low-carbon transformation and multi-energy synergistic utilization of energy-intensive industrial sectors.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/pr14203295first seen 2026-10-16 04:56:41
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