The Optimal Design of a Renewable Energy Production System Including Green Hydrogen Production to Support a Public Building
公共建築を支えるグリーン水素製造を含む再生可能エネルギー生産システムの最適設計 (AI 翻訳)
Aikaterini Tsoulou, Konstantinos Christodoulou, I. Kookos
🤖 gxceed AI 要約
日本語
本研究は、系統連系された公共建築物における再生可能エネルギーシステムの最適設計を、グリーン水素製造を組み込んで数学的プログラミングで解く。風力、太陽光、バッテリー、水素ユニットを離散容量でモデル化し、年間コストとCO2排出量の最小化を目的とする。ギリシャの大学建物を対象に、水素を車両燃料として販売することで収益と環境改善を図る。高電力料金下では再生可能エネルギーと水素の経済性が向上し、自己充足と深い脱炭素化が促進される。
English
This study optimizes a grid-connected renewable energy system with green hydrogen storage for a public building, using MILP with discrete equipment capacities. Applied to a Greek university building, it minimizes annual cost and CO2 emissions. Results show that higher grid tariffs improve the payback of renewables and hydrogen, shifting toward self-sufficiency and deep decarbonization, with hydrogen replacing fossil fuels in transport.
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、公共施設の脱炭素化と水素利活用が進む中、本モデルは自治体や公共建築のエネルギー計画に示唆を与える。再生可能エネルギーと水素貯蔵の経済性評価は、補助金や電力料金設計の政策検討に有用。
In the global GX context
Globally, this work contributes to the design of decentralized renewable systems with hydrogen storage, relevant for public sector decarbonization. It highlights the role of electricity tariffs in making green hydrogen economically viable, informing policy on renewable integration and hydrogen infrastructure.
👥 読者別の含意
🔬研究者:Provides a MILP framework for discrete sizing of renewable and hydrogen systems, useful for optimizing hybrid energy systems.
🏢実務担当者:Offers a model for designing cost-effective and low-carbon energy systems for public buildings, potentially applicable to corporate facilities.
🏛政策担当者:Demonstrates how tariff structures can incentivize renewable and hydrogen adoption, informing energy policy.
📄 Abstract（原文）
This study presents a mathematical programming approach for the optimal design of a renewable energy system in a grid-connected public building, incorporating green hydrogen production for surplus energy storage. The system includes wind turbines, solar panels, batteries, a hydrogen unit, and a grid connection. Hydrogen can also be sold as vehicle fuel, generating revenue and reducing the environmental impact. Unlike traditional hydrogen smart grid models that rely on continuous capacity variables—which often yield non-commercial fractional unit sizes—our MILP framework strictly enforces discrete equipment capacities matching real-world procurement specifications. The methodology is applied to the Chemical Engineering Department Building at the University of Patras, Greece, with two objectives: minimizing annual cost and minimizing carbon dioxide emissions. While higher grid electricity tariffs increase absolute total energy costs, they significantly enhance the economic competitiveness and payback of local renewable energy and green hydrogen installations, shifting the optimal system configuration toward self-sufficiency and deep decarbonization. Emission minimization achieves substantial reductions with acceptable economic trade-offs, mainly through hydrogen replacing fossil fuels in transport. A GAMS-based model demonstrates that integrating renewables and hydrogen storage can enhance energy security, lower costs, and reduce the environmental impact in public buildings.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://www.mdpi.com/2673-4141/7/3/108/pdf?version=1785649570first seen 2026-08-09 05:38:28
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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。