Integrated Energy System Framework for Policy Design in Hubei Province, China, 2021–2050

An integrated optimization framework for renewable subsidy policy design, endogenizing subsidy allocation across long-term capacity expansion and high-resolution dispatch. The dataset, created by Xiao Li and shared under CC-BY-4.0, models a hydropower-dominated system in Hubei Province, China, evaluating alternative subsidy portfolios under climate uncertainty from 2021 to 2050. The 11.2 GB dataset was last updated on May 13, 2026.

Use Cases

• Modeling the impact of variable-renewable-only subsidies on hydropower investment based on the described framework.
• Evaluating how rebalanced incentives toward hydropower affect system flexibility and carbon abatement based on the case study.
• Identifying cost-effective subsidy thresholds for near-zero thermal generation emissions based on the described analysis.
• Providing transferable guidance for decarbonization in hydropower-rich electricity systems based on the model's conclusions.

Strengths

• Models a 30-year time horizon (2021–2050) under climate uncertainty.
• Applies an integrated framework combining long-term capacity expansion with high-resolution dispatch.
• Focuses on a specific, hydropower-dominated regional case study (Hubei Province, China).
• The dataset is large at 11.2 GB, suggesting substantial model outputs or supporting data.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description is abstract-focused; detailed data structure requires inspection of the downloaded files.

Provenance

Source

figshare

Collection Method

Likely contains outputs from an integrated optimization framework developed for the study.

Time Range

2021–2050

Freshness

Last updated 2026-05-13 01:23:32; freshness should be verified.

Geography

Hubei Province, China