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.