MILP-Based Optimal Sizing of a Hybrid Battery-Hydrogen Energy Storage in a Grid-Connected Photovoltaic System
MILPに基づく系統連系太陽光発電システムにおけるハイブリッドバッテリー・水素エネルギー貯蔵の最適規模決定 (AI 翻訳)
Zakaria A. Souleymane, A. Mpanda Mabwe, H. Augendre, J. Fortin
🤖 gxceed AI 要約
日本語
本論文は、パリ・ボーベ空港の大規模脱炭素化の一環として、太陽光発電、バッテリー、水素貯蔵を組み合わせたハイブリッドシステムの最適規模をMILPモデルで決定する。3年間の実負荷データと気象データに基づき、バッテリーが短期変動を、水素が長期・季節変動を補完することを示し、グリッド依存度を低減する。
English
This study presents a MILP-based optimal sizing framework for a hybrid battery-hydrogen energy storage system integrated with PV at Paris-Beauvais Airport. Using three years of hourly load and PV data, the results demonstrate that batteries handle short-term fluctuations while hydrogen enables long-duration and seasonal balancing, reducing grid dependency compared to battery-only systems.
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
日本でも空港や大規模施設での再生可能エネルギー導入と水素活用が進んでおり、本手法はそれらの最適設計に応用可能。特に、季節間変動の大きい日本において水素貯蔵の役割は重要。
In the global GX context
This work provides a method for sizing hybrid storage in large energy-consuming infrastructures like airports, relevant for global decarbonization efforts. The complementarity of battery and hydrogen storage offers insights for integrating renewables in systems with high seasonal variability.
👥 読者別の含意
🔬研究者:The MILP optimization approach for hybrid storage sizing can be adapted to other renewable integration studies.
🏢実務担当者:Airport operators and facility managers can use the framework to design cost-effective renewable energy systems with reduced grid reliance.
🏛政策担当者:The case study supports investment in hydrogen storage as part of national decarbonization strategies for transport infrastructure.
📄 Abstract（原文）
This study is part of a large-scale decarbonization initiative for Paris-Beauvais Airport (PBA). The focus is the integration of renewable energy sources (RES) with the aim of decreasing grid dependency by enhancing local energy autonomy. The system under scrutiny comprises a photovoltaic (PV) generator, a Battery Energy Storage System (BESS), and a hydrogen energy storage subsystem (𝐇𝟐𝐒𝐒) consisting of an electrolyzer (ELZ), a hydrogen tank, and a fuel cell (FC). The global system supplies electrical loads and is connected to the utility grid. The sizing of the battery and hydrogen subsystems is determined by using a Mixed-Integer Linear Programming (MILP) model under realistic operational constraints. The system's operation is then evaluated through an explicit rule-based dispatch strategy, thereby enabling a clear interpretation of storage utilization over time. The assessment of the framework employs three years of hourly load data, meticulously measured, and PV generation estimated from meteorological data. The results demonstrate the complementary roles of storage technologies: the battery mitigates short-term fluctuations, while hydrogen storage supports long duration and seasonal balancing, and reduces grid dependency compared to a BESS-only configuration. The proposed approach provides a realistic and interpretable basis for the design of hybrid storage systems in renewable-based infrastructures characterized by significant seasonal variability. Key words. Optimal sizing, hybrid storage, battery, hydrogen, Mixed-Integer Linear Programming (MILP).
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.24084/reepqj26-354first seen 2026-07-21 05:24:11
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