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POWER BALANCE MODEL FOR GRID-CONNECTED GREEN POWER-TO-HYDROGEN-TO-AMMONIA PARKS

グリーン電力から水素・アンモニア製造パークへの系統接続における電力バランスモデル (AI 翻訳)

YuChang Wang, Fan Zhang, LiHang Luo

World Journal of Engineering Research📚 査読済 / ジャーナル2026-06-30#水素対象セクター: energy
DOI: 10.61784/wjer3111
原典: https://doi.org/10.61784/wjer3111
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🤖 gxceed AI 要約

日本語

グリーン水素・アンモニア産業の発展に伴い、再エネ変動性と産業負荷の硬直性の矛盾から、運航コンプライアンスと経済性が課題となる。本研究は時間単位の精緻な電力バランスモデルを構築し、風力・太陽光出力、一般負荷、電解槽・アンモニア合成の硬直負荷を統合。典型日計算の結果、再エネ発電603.45MWhに対し総消費558.72MWhだが、時間ミスマッチにより系統購入172.04MWh、余剰逆潮流216.77MWhが発生。グリーン電力比率は基準を満たすが、自家消費率と逆潮流比率は政策要件を満たさず、アンモニア製造コストは4,287.78元/トン。時間ミスマッチが核心ボトルネックと確認した。

English

This study addresses the conflict between renewable volatility and rigid industrial loads in green hydrogen/ammonia parks. An hourly power balance model is developed integrating wind/PV, conventional load, electrolyzer, and ammonia synthesis loads. Case results show renewable generation of 603.45 MWh exceeds total consumption of 558.72 MWh, but temporal mismatch causes 172.04 MWh grid purchase and 216.77 MWh surplus feed-in. While green power proportion meets standards, self-consumption and feed-in ratios fail policy requirements; ammonia production cost is 4,287.78 yuan/ton. Time mismatch is identified as the core bottleneck.

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

日本ではグリーン水素・アンモニアの導入拡大が進む中、系統連系型パークの運営最適化とコンプライアンス両立が重要。本モデルは時間単位の精緻な解析を提供し、日本の水素基本戦略や再エネ・水素一体型プロジェクトの設計に示唆を与える。

In the global GX context

Globally, green hydrogen/ammonia projects face challenges in meeting green compliance while ensuring economic viability. This model provides a fine-grained quantitative framework for operational optimization and policy assessment, relevant to international standards for renewable hydrogen certification and grid integration.

👥 読者別の含意

🔬研究者:The hourly power balance model offers a systematic methodology for analyzing green hydrogen/ammonia park operations, advancing the coupling of compliance and economic assessment.

🏢実務担当者:Operators can use the model to optimize renewable self-consumption and grid interaction, potentially reducing costs and meeting green certification requirements.

🏛政策担当者:The findings on time mismatch and policy compliance gaps highlight the need for flexible load or storage incentives to improve renewable utilization in hydrogen/ammonia projects.

📄 Abstract(原文)

Against the background of large-scale development of green hydrogen and ammonia industries, green power directly connected parks face prominent challenges in operational compliance and economic performance, due to the inherent conflict between renewable volatility and rigid industrial loads. Existing studies mostly rely on low-temporal-resolution models or focus on single optimization objectives, lacking a systematic framework that uncovers fine-grained power interaction mechanisms and quantifies the coupling of compliance and economy. To address this gap, this paper establishes a refined hourly power balance model that systematically integrates wind-photovoltaic output, conventional load, and rigid loads of electrolyzers and ammonia synthesis units. The core innovation lies in constructing a unified multi-dimensional quantitative framework that simultaneously realizes hourly power matching, green compliance assessment, and ammonia cost accounting, breaking the limitation of isolated single-objective research. Typical day calculation results show that the park’s renewable generation reaches 603.45 MWh, exceeding the total electricity consumption of 558.72 MWh. However, significant time mismatch between renewable output and rigid load leads to 172.04 MWh grid purchase and 216.77 MWh surplus feed-in. In terms of compliance, the green power proportion meets standards, while self-consumption rate and feed-in ratio fail policy requirements, with ammonia production cost at 4,287.78 yuan per ton. The findings confirm time mismatch as the core bottleneck. The proposed model provides an effective algorithmic tool and reliable quantitative reference for the operation optimization and policy formulation of grid-connected green power-to-hydrogen-to-ammonia parks.

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