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An extended mixed-network DEA method to analyze the power supply system with shared resources

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  • Zhang, Qingyu
  • Zhang, Rui

Abstract

Amidst the global push for decarbonization, nations are actively developing new power systems (NPS) with an emphasis on renewable energy sources. Traditional studies have utilized a two-stage DEA model to assess the power industry, typically partitioning it into power generation system (PGS) and power sales system (PSS). However, this approach lacks granularity in capturing the nuances of various power generation sources. In response, this paper proposes an advanced extended mixed-network structure utilizing a slack-based measure (SBM) model with an integrated parallel-serial structure. This model differentiates between fossil energy power generation (FEPG) and non-fossil energy power generation (NFPG), while concurrently addressing generation diversity, resource sharing, input optimization, and undesirable outputs. Empirical findings reveal that China's NPS efficiency averaged 0.620 between 2015 and 2020. The inefficiencies predominantly stem from the PGS stage, particularly in the NFPG substage. Notably, Eastern China exhibits superior performance across both overall and stage-specific metrics among the four regions studied. Through its comprehensive evaluation of China's power system, the study offers valuable insights for optimizing performance and supporting the transition to a sustainable and low-carbon energy future.

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  • Zhang, Qingyu & Zhang, Rui, 2025. "An extended mixed-network DEA method to analyze the power supply system with shared resources," Energy, Elsevier, vol. 324(C).
    • Handle: RePEc:eee:energy:v:324:y:2025:i:c:s0360544225017529
    DOI: 10.1016/j.energy.2025.136110
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