Heilongjiang renewable utilization, GEC prices, and simulation calibration data

This dataset supports the manuscript “Renewable curtailment under China’s mechanism-settled electricity reform: A three-party evolutionary game analysis of green certificate pricing”, submitted to Energy Policy.

The dataset contains the processed inputs and simulation materials used to examine whether green electricity certificate (GEC) prices can contribute to renewable curtailment reduction after China’s Notice No. 136. It includes author-compiled renewable utilization data for Heilongjiang Province in 2025, official monthly GEC price anchors, policy-stage classification, scenario-calibrated model parameters, GEC-price perturbation settings, and simulation outputs for the August transition-stage and October post-implementation experiments.

The renewable utilization data are derived from publicly available official and sectoral sources and are processed into monthly wind, photovoltaic, and composite renewable utilization indicators. The GEC price anchors are based on official monthly green certificate market bulletins. Other model parameters, including mechanism-settlement proxies, market-price proxies, behavioral parameters, and sensitivity ranges, are scenario-calibrated values used for mechanism-testing simulation rather than directly observed market data.

The dataset is intended to improve transparency and reproducibility of the perturbation experiments reported in the manuscript. The accompanying simulation code or pseudocode reproduces the main scenario-calibrated results, including the identification of stage-specific effective GEC-price windows and the comparison between August and October policy environments.