Distributionally Robust Coordinated Scheduling of Port Integrated Energy Stations Considering Multi-Path Green Hydrogen Utilization
多経路グリーン水素利用を考慮した港湾統合エネルギーシステムの分布ロバスト協調スケジューリング (AI 翻訳)
Zhen Huang, Tao Xiong, Bowen Zhang, Wei Feng, Zinyun Wang, Aoli Huang, Suhua Lou
🤖 gxceed AI 要約
日本語
本論文は、港湾統合エネルギーシステムにおける再生可能エネルギーの不確実性下での協調スケジューリング手法を提案。PEM電解槽や水素貯蔵、燃料電池、メタン化反応器などを統合し、二段階Wasserstein分布ロバスト最適化モデルを構築。ケーススタディにより、グリーン水素の複数利用経路がシステムの柔軟性と低炭素性能を向上させることを実証した。
English
This paper proposes a coordinated scheduling framework for port integrated energy stations considering multi-path green hydrogen utilization under renewable uncertainty. It develops a coupled electricity-hydrogen-heat-gas-carbon model and a two-stage Wasserstein distributionally robust optimization model. Case studies show the strategy improves renewable accommodation, reduces cost and carbon emissions, and enhances robustness.
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
日本では港湾の脱炭素化（カーボンニュートラルポート）が推進されており、本論文のグリーン水素を活用した統合エネルギーシステムの協調スケジューリングは、政策と実務に直結する知見を提供する。特に、不確実性下でのロバスト最適化手法は、日本の港湾が抱える再生可能エネルギー変動への対応策として有用。
In the global GX context
This paper addresses the global challenge of decarbonizing port operations through integrated energy systems with green hydrogen. The distributionally robust optimization approach provides a practical method for handling renewable uncertainties, applicable to ports worldwide aiming for net-zero emissions. It builds on the global trend of hydrogen-based energy hubs.
👥 読者別の含意
🔬研究者:Provides a modeling framework for robust scheduling of multi-energy port systems integrating hydrogen pathways, useful for further optimization and uncertainty studies.
🏢実務担当者:Offers a methodology for port operators to coordinate hydrogen production, storage, and utilization with other energy carriers, potentially reducing operational costs and emissions.
🏛政策担当者:Demonstrates the value of green hydrogen in port decarbonization strategies, informing policy support for hydrogen infrastructure and renewable integration.
📄 Abstract（原文）
With the low-carbon transition of ports and the increasing penetration of renewable energy, port integrated energy stations face significant challenges in coordinating shore power supply, hydrogen refueling demand, and renewable energy accommodation under uncertainty. To address this issue, this paper proposes a coordinated scheduling framework considering multi-path green hydrogen utilization and renewable uncertainty. A coupled electricity-hydrogen-heat-gas-carbon integrated energy model is established by integrating PEM electrolysers, hydrogen storage systems, fuel cells, methanation reactors, combined heat and power units, and carbon capture facilities. Furthermore, a two-stage Wasserstein distributionally robust optimization (W-DRO) model is developed to handle uncertainties in renewable generation and port load demand using limited historical data. Comparative case studies demonstrate that the proposed strategy effectively improves renewable energy accommodation capability, reduces operating cost and carbon emissions, and enhances operational robustness under uncertain conditions. The results verify that coordinated green hydrogen utilization can significantly improve the flexibility and low-carbon performance of port integrated energy systems.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/csac70128.2026.11607649first seen 2026-07-26 06:13:11
🔔 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。