Mathematical modelling of green energy storage capacities with different demand scenarios
異なる需要シナリオにおけるグリーンエネルギー貯蔵容量の数学的モデリング (AI 翻訳)
Muhammad Anas Maqbool, Pablo Rosales, Md Jahir Rizvi, Y. Lee
🤖 gxceed AI 要約
日本語
本研究は、英国の洋上風力発電（Hornsea）を利用したグリーン水素・アンモニア貯蔵の最適容量を決定する数学的モデルとGUIを開発した。需要シナリオやエネルギー効率などの変数を入力することで、貯蔵容量を算出し、洋上グリーンエネルギーインフラ計画に貢献する。
English
This study develops a mathematical model and GUI for sizing green hydrogen and ammonia storage capacities using offshore wind power (Hornsea, UK). It considers different demand scenarios and variable inputs, providing graphical and tabular outputs to aid decision-making for offshore green energy infrastructure.
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
洋上風力と水素貯蔵の組み合わせは日本のGX政策（洋上風力推進、水素基本戦略）と関連性が高い。日本での洋上風力計画においても、同様の需要シナリオ分析と容量設計ツールが参考となる。
In the global GX context
This paper's modelling approach for green hydrogen/ammonia storage sizing is globally relevant for countries expanding offshore wind and hydrogen infrastructure. It offers a practical tool for capacity planning, applicable to similar projects worldwide, including those in the UK.
👥 読者別の含意
🔬研究者:Provides a validated mathematical model and GUI for green energy storage sizing that can be adapted or extended for other regions or storage types.
🏢実務担当者:Offers a ready-to-use GUI tool for determining optimal storage capacities based on variable inputs like energy availability and efficiency, useful for project planning.
🏛政策担当者:Demonstrates a decision-support tool that can inform national energy storage strategies and infrastructure investments for renewable hydrogen.
📄 Abstract（原文）
The climate crisis has necessitated immediate and extensive research into sustainable, reliable, and cost-effective energy sources. The global energy shift has accelerated the integration of renewables with various industries and energy storage systems to address the challenges posed by the intermittent nature of renewable energy sources. The UK’s hydrogen strategy and zero-emission shipping mission demonstrate promising progress, including the development of green hydrogen and green ammonia production and storage. However, renewable-hydrogen or ammonia storage systems present challenges, including determining effective storage capacity and meeting extensive energy requirements. The authors of this study have previously explored the prospects and feasibility of renewable-hydrogen and ammonia storage at a massive scale by harnessing offshore wind power from Hornsea wind farms in the UK and analysed three different demand scenarios for this stored green energy, upon which the storage capacity depends. This study aims to report the development of a graphical user interface (GUI) based on an effective mathematical model with variable inputs, designed to inform decisions about the capacity sizing of green energy storage. The GUI and a live script of the model are developed using MATLAB and validated with hypothetical data. It can provide results in both graphical and tabular formats, aiding in determining the optimal storage capacity for green hydrogen and ammonia based on various inputs, such as total energy availability and equipment energy efficiency. The GUI’s efficacy and dependability are demonstrated by its implementation. The implementation of GUI demonstrates the efficacy and dependability of the application. Therefore, this mathematical model may have applications in optimising offshore green energy infrastructure and decision-making for storage sizing. Future planning for offshore green energy storage, including green ammonia and hydrogen, will also be aided by the proposed model in application.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1088/1742-6596/3185/1/012007first seen 2026-05-15 20:03:20
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