New network data envelopment analysis approaches: an application in measuring sustainable operation of combined cycle power plants

Gholam Reza Faramarzi, Mohsen Khodakarami, Amir Shabani, Reza Farzipoor Saen*, Fatemeh Azad

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

Nowadays, organizations deal with numerous economic, environmental, and social problems. To have sustainable operations, they have begun to incorporate environmental and social concerns into conventional economic objectives. A combined cycle power plant (CCPP) is a good instance of an open system with multistage processes and interconnected activities. Efficiency evaluation of CCPPs is a complex task since there exist a variety of inputs (outputs) which enter into any stages of network. Additionally, there might be intermediate products which are consumed by the same power plants. We call such factors “loop” intermediate measures. To measure efficiency of CCPPs, network data envelopment analysis (NDEA) is used. This paper proposes new NDEA models to evaluate efficiency of CCPPs. The proposed models calculate the efficiency of power plants and their sub-sectors under both CRS (constant returns to scale) and VRS (variable returns to scale) assumptions. This paper provides a comprehensive analysis for returns to scale. We apply the new NDEA models to measure relative efficiency of CCPPs.

Original languageEnglish
Pages (from-to)232-246
Number of pages15
JournalJournal of Cleaner Production
Volume108
DOIs
Publication statusPublished - Dec 1 2015

Keywords

  • Combined cycle power plants
  • Multiple objective linear programming
  • Network data envelopment analysis
  • Returns to scale
  • Sustainability

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Environmental Science(all)
  • Strategy and Management
  • Industrial and Manufacturing Engineering

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