A review of publicly available data sources for models to study renewables integration in China's power system

Xiaodong Zhang, Dalia Patino-Echeverri, Mingquan Li and Libo Wu

Renewable and Sustainable Energy Reviews, 2022, vol. 159, issue C

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.

Keywords: Power system operation; Renewable energy; Model; Simulation; Data quality; China (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (4)

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DOI: 10.1016/j.rser.2022.112215

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