An Hourly Operational Dataset of Grid-Connected and Islanded Green-Power Chemical Parks for Flexible Production and Safety Power Supply
グリッド接続および島嶼運転のグリーンパワーケミカルパークの時間別運用データセット：柔軟な生産と安全な電力供給のために (AI 翻訳)
Zhenlan Dou, Chunyan Zhang, Chaoran Fu, Ziniu Li, Suyang Zhou
🤖 gxceed AI 要約
日本語
本論文は、中国吉林省のグリーン水素・アンモニア化学パークの多シナリオ運用データセットを提供する。24の気象シナリオに基づき、系統連系モードとオフグリッドモードの時間別データ（再生可能エネルギー発電量、電解槽・合成ユニット消費電力、系統交換、バッテリーSOC、廃熱回収）を含む。物理的制約を検証し、工学実現可能性を保証。容量計画やEMS開発のベンチマークとなる。
English
This paper provides a multi-scenario operational dataset for a green hydrogen-ammonia chemical park in Jilin, China, covering grid-connected and off-grid modes with hourly records of renewable generation, electrolyzer/synthesis power, grid exchange, battery SOC, and waste heat recovery. All states are validated against physical constraints, ensuring engineering feasibility. The dataset serves as a benchmark for capacity planning and EMS development.
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
日本の化学産業の脱炭素化や水素サプライチェーン構築に参考となる。再生可能エネルギー変動下での柔軟生産と安全供給の両立は、日本のグリーン水素戦略や福島等の実証プロジェクトにも示唆を与える。
In the global GX context
This dataset offers a benchmark for integrating volatile renewables into continuous chemical processes, relevant to global efforts on green hydrogen and ammonia as decarbonization vectors. It supports capacity planning and EMS development, aligning with ISSB-aligned transition planning and energy transition finance.
👥 読者別の含意
🔬研究者:Provides a validated operational dataset for modeling green hydrogen-ammonia parks, useful for energy system optimization and flexibility studies.
🏢実務担当者:Offers a benchmark for developing energy management systems and flexible production strategies in chemical parks integrating renewables.
🏛政策担当者:Demonstrates technical feasibility of green hydrogen-ammonia production, informing policy on industrial decarbonization and renewable integration.
📄 Abstract（原文）
The deep decarbonization of high-emission chemical industries requires green hydrogen–ammonia parks that directly integrate volatile renewable energy with continuous synthesis processes. However, high-resolution, physically consistent operational datasets covering the multi-stage evolution from grid-connected economic dispatch to off-grid resilient islanded operation remain scarce. This paper presents a comprehensive, multi-scenario operational dataset for a green-power, directly connected hydrogen–ammonia chemical park in Jilin, Northern China. Derived from 24 typical meteorological scenarios, the dataset covers grid-connected mode with five daily ammonia production targets (72–36 tons/day) and off-grid mode with dynamic yield maximization under a 195 MWh battery energy storage system. Hourly records are provided for renewable generation, electrolyzer and synthesis unit power consumption, grid exchange, battery state-of-charge, and waste heat recovery. All operational states are strictly validated against physical constraints—equipment load limits, energy conservation laws, thermodynamic recovery bounds, and state-of-charge limits—ensuring engineering feasibility. The dataset is publicly available in CSV format and serves as a benchmark for capacity planning, energy management system development, and flexible production strategy validation.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/data11080187first seen 2026-07-31 06:45:25 · last seen 2026-08-01 06:22:01
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