Stochastic planning for feeding a green hydrogen plant into an isolated network
孤立ネットワークにグリーン水素プラントを供給するための確率計画 (AI 翻訳)
Michael Salcedo, Mario A. Rios
🤖 gxceed AI 要約
日本語
本論文は、孤立した電力網に接続されたグリーン水素プラントの計画手法を提案する。風力発電と蓄電池の容量を確率的に最適化する手法を開発し、ARMAモデルとモンテカルロシミュレーションを用いた。これにより、再生可能エネルギーの変動性を考慮した水素供給の信頼性評価が可能となる。
English
This paper presents a stochastic planning methodology for a green hydrogen plant connected to an isolated grid. It uses an ARMA model and Monte Carlo simulation to size wind power and battery storage, ensuring electrolyzer constraints are met under wind variability. The approach supports reliable green hydrogen production in off-grid settings.
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、再エネ由来水素の導入が進んでおり、特に離島や孤立系統におけるグリーン水素の計画手法は有用である。本手法は、日本の水素社会実現に向けたインフラ設計に貢献する。
In the global GX context
As green hydrogen scales globally, planning tools for isolated grids (e.g., islands, remote industrial sites) are critical. This paper offers a stochastic optimization method that can inform project developers and grid planners, aligning with energy transition goals.
👥 読者別の含意
🔬研究者:This paper contributes a novel stochastic sizing method for green hydrogen systems in isolated grids.
🏢実務担当者:Useful for developers planning off-grid green hydrogen projects to assess wind and battery requirements.
📄 Abstract（原文）
In recent years, an electrochemical process called electrolysis has gained prominence. This process uses water and electricity as its main sources, significantly reducing the carbon footprint of hydrogen production. Additionally, colors have been assigned to represent the source of hydrogen production in a simple way. For example, green refers to hydrogen produced by electrolysis using electricity generated from non-conventional renewable energy sources (NCRES). For plants not connected to the national grid, the connection of a green hydrogen plant requires that NCRES be connected to an isolated electrical grid. In these cases, the power supply will depend on the variability of the source. This paper presents the methodology to plan and size the main components of the wind power plant and the battery energy storage system (BESS) to ensure that the electrolyzer constraints can be met during the studied period. Furthermore, it introduces a novel methodology that uses the autoregressive moving average (ARMA) model to generate a sequential Monte Carlo simulation along with dynamic optimization. This approach allows for the sizing of the wind power plant and BESS, considering the stochastic behavior of the wind.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.11591/ijape.v15.i2.pp744-759first seen 2026-05-26 05:01:36 · last seen 2026-05-27 05:01:54
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