• Rohit Sharma

Present research attempts to benchmark the performance of coal fired power plant (CFPPs) by estimating their operational efficiency and its determinants using Data Envelopment analysis (DEA). Data Envelopment Analysis (DEA), a comparative or relative method for calculating output that uses multiple variables to compare certain defined units with each other. This seeks no absolute efficiency metric, but offers a basis for recognizing good performance practices. It helps to create performance targets, optimal operating rates, role models that can mimic dysfunctional coal-fired power plants (CFPPs), and to what degree improvements can be made over time. This technique is applied to 2016-17 coal-fired power plant data (CFPPs) where CFPP performance is measured. The results suggest ways to improve the overall efficiency of many CFPPs. DEAP technologies is used for analytical purposes.

Operational efficiency, Thermal power plants, DEA

"Estimation of operational efficiency and its determinants of Thermal power plants by using DEA ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.1339-1355, April-2019, Available :http://www.jetir.org/papers/JETIREL06199.pdf

"Estimation of operational efficiency and its determinants of Thermal power plants by using DEA ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp1339-1355, April-2019, Available at : http://www.jetir.org/papers/JETIREL06199.pdf