Topology optimization and collaborative development planning of electro-hydrogen coupling based on multi-objective solution algorithms
多目的最適化アルゴリズムに基づく電気・水素連携のトポロジー最適化と協調開発計画 (AI 翻訳)
Xiaowei Li, Guoxian Luo, Dandan Li, Peng Yan
🤖 gxceed AI 要約
日本語
電解水素連携システムの立地・容量・トポロジーを統合的に最適化する計画手法を提案。改良NSGA-IIを用いて経済性・環境性・信頼性を多目的最適化し、8760時間のデータに基づき自己消費率を52%から95%以上に向上。追加投資28%で炭素排出54%削減、信頼性55%向上。炭素価格300元/トンで競争力向上。
English
Proposes a collaborative planning method for electro-hydrogen coupling microgrids, optimizing siting, capacity, and topology via improved NSGA-II. Using 8760-hour data, energy self-sufficiency increased from 52% to >95%. With 28% extra investment, carbon emissions fell 54% and reliability rose 55%. Carbon pricing at 300 CNY/ton enhances competitiveness.
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
本論文は水素連携マイクログリッドの多目的最適化手法を提案しており、日本の水素基本戦略やカーボンプライシング政策に示唆を与える。特に、経済性・環境性・信頼性のトレードオフを定量化する手法は、日本の地域エネルギー計画に応用可能。
In the global GX context
This paper advances global GX scholarship by demonstrating a multi-objective optimization framework for electro-hydrogen systems that explicitly incorporates carbon pricing. It offers a replicable methodology for balancing cost, emissions, and reliability in hydrogen-coupled microgrids, relevant to ISSB/TCFD-aligned transitions.
👥 読者別の含意
🔬研究者:Provides a novel multi-objective optimization framework for hydrogen-coupled microgrids with adaptive NSGA-II, useful for further research in integrated energy system planning.
🏢実務担当者:Offers a quantifiable approach to evaluate trade-offs between cost, emissions, and reliability for electro-hydrogen systems, directly applicable to corporate decarbonization planning.
🏛政策担当者:Demonstrates how carbon pricing can incentivize hydrogen infrastructure investment, supporting policy design for clean energy transitions.
📄 Abstract（原文）
INTRODUCTION: Renewable energy microgrids need planning methods to manage volatility and balance performance. OBJECTIVES: Develop a collaborative planning method for electro-hydrogen coupling systems, optimizing economy, environment and reliability. METHODS: Build a unified planning model for siting, capacity and topology. Solve using improved NSGA-II with adaptive operators and constraint handling. RESULTS: Based on 8760-hour data, the system increased energy self-sufficiency from 52% to >95%. With 28% extra investment, carbon emissions fell 54% and reliability rose 55%. Lower electrolyzer cost further cut emissions; carbon price at 300 CNY/ton improved scheme competitiveness. CONCLUSION: Electro-hydrogen coupling enhances microgrid performance. Multi-objective optimization finds the best trade-off. Falling costs and carbon policies will promote system application, aiding low-carbon transformation.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.4108/ew.12030first seen 2026-05-15 17:27:04
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