An Hourly Operational Dataset of Grid-Connected and Islanded Green-Power Chemical Parks for Flexible Production and Safety Power Supply

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.

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Published
2026-07-25
DOI
https://doi.org/10.3390/data11080187
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
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article
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article

An Hourly Operational Dataset of Grid-Connected and Islanded Green-Power Chemical Parks for Flexible Production and Safety Power Supply

Suyang Zhou, Ziniu Li, Chunyan Zhang, Chaoran Fu et al.
Data
Ammonia Synthesis and Nitrogen Reduction
article

An Hourly Operational Dataset of Grid-Connected and Islanded Green-Power Chemical Parks for Flexible Production and Safety Power Supply

Suyang Zhou, Ziniu Li, Chunyan Zhang, Chaoran Fu, Zhenlan Dou
article en

Abstract

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.

DataVol. 11(8)
Southeast University (CN)
Openalex Percentile: Top 24%
Ammonia Synthesis and Nitrogen Reduction
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