1. A review of publicly available data sources for models to study renewables integration in China's power system.
- Author
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Zhang, Xiaodong, Patino-Echeverri, Dalia, Li, Mingquan, and Wu, Libo
- Subjects
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ELECTRIC power systems , *DATA modeling , *ELECTRIC power , *PERFORMANCE technology , *ENERGY policy - Abstract
The ongoing transformation of the world's energy system requires detailed power-system models that help plan a cost-effective and reliable integration of variable renewables and demand-side resources. The quality and depth of the results of these models depend on the existence of trustworthy, complete, and high-resolution data on extant electric power assets and the demand they serve, wind and solar resources, and projections on costs and performance of technologies that could be developed during the next three decades. This paper assesses the quality of China's power system's publicly available data compared to the U.S. It concludes that despite growing use of power system models to inform and analyze Chinese energy policy, the availability of necessary data is still a significant barrier that severely limits the transparency, replicability, relevance, and usefulness of their results. • Ongoing energy system transformation requires detailed power-system models. • Usefulness of models' results depends on reliable, complete high-resolution data. • Paper proposes criteria to assess the quality of publicly available data for models. • Publicly available data for China's electric power system is scant and low quality. • Filling data gaps will inform decisions for a sustainable electric power system. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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