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An Efficiency Analysis of Combined Cycle Power Plants Using DEA Models, A Case Study in Bangladesh
Author(s) -
Soonhu Soh et al. Soonhu Soh et al.
Publication year - 2019
Publication title -
international journal of mechanical and production engineering research and development
Language(s) - English
Resource type - Journals
eISSN - 2249-6890
pISSN - 2249-8001
DOI - 10.24247/ijmperdfeb201961
Subject(s) - power (physics) , environmental science , physics , quantum mechanics
The purpose of this research was to analyse the operation efficiency of existing combined cycle power plants in Bangladesh and identify potential areas for efficiency improvement. This study proposed the application of data envelopment analysis (DEA). A non-parametric linear programming method to efficiency measurement. Based on the empirical results, efficient and inefficient power plants were determined and ranked by using three variants of DEA models which are CCR, BCC and Super-efficiency. It was also revealed that there existed considerable waste in the production process of power plant and the main source of inefficiency was attributed to the inadequate operating scale. According to the results the suggestions for improving efficiency were provided in the study. The insights gained from the study will contribute to the planning of energy efficiency policies required for electric power plants.

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