Undesirable factors in stochastic DEA cross-efficiency evaluation: An application to thermal power plant energy efficiency

2021 ◽  
Vol 69 ◽  
pp. 613-628
Author(s):  
M. Khodadadipour ◽  
A. Hadi-Vencheh ◽  
M.H. Behzadi ◽  
M. Rostamy-malkhalifeh
Keyword(s):  
Energy Efficiency ◽  
Power Plant ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Efficiency Evaluation ◽  
Stochastic Dea

Increase energy efficiency of thermal power plant Kostolac B by revitalization ventilation mills

2017 ◽  
Vol 12 (2) ◽  
pp. 191-197 ◽  
Author(s):  
Marko Ristic ◽  
Ljiljana Radovanovic ◽  
Radica Prokic-Cvetkovic ◽  
Goran Otic ◽  
Jasmina Perisic ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Power Plant ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Increase Energy Efficiency

Energy Efficiency Evaluation for Steam Turbine and Auxiliary System

2014 ◽  
Vol 472 ◽  
pp. 1017-1021
Author(s):  
Yu Bo Wang ◽  
Jing Liu ◽  
Ping Zhu ◽  
Cheng Bing He
Keyword(s):  
Energy Efficiency ◽  
Power Plant ◽  
Steam Turbine ◽  
Evaluation System ◽  
Thermal Power ◽  
Evaluation Process ◽  
Power Industry ◽  
Auxiliary System ◽  
Efficiency Evaluation ◽  
Energy Efficiency Evaluation

Thermal power industry in China is facing energyshortage , but now there is a lack of a comprehensive energy efficiency evaluation system to promote the energy efficiency ,The energy efficiency evaluation for steam turbine and auxiliary system fills this gap. On account of the fuzziness and randomness of the evaluation process, we propose the AHM-F combination evaluation method.It not only evaluted the energy efficiency level of the steam turbine and auxiliary system,but also point out the direction for further improving of energy efficiency level. The scientificalness and effectiveness of the proposed method is verfied by the example analysis of the 600MW unit in a power plant.

scholarly journals Management Index Systems and Energy Efficiency Diagnosis Model for Power Plant: Cases in China

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Jing-Min Wang ◽  
XiaoJie Ge ◽  
LiLi Zhang ◽  
Hang Zhang
Keyword(s):  
Energy Efficiency ◽  
Power Plant ◽  
Thermal Power Plant ◽  
Power Plants ◽  
Cloud Model ◽  
Thermal Power ◽  
Diagnostic Model ◽  
Data Envelopment ◽  
Qualitative And Quantitative ◽  
Diagnosis Model

In recent years, the energy efficiency of thermal power plant largely contributes to that of the industry. A thorough understanding of influencing factors, as well as the establishment of scientific and comprehensive diagnosis model, plays a key role in the operational efficiency and competitiveness for the thermal power plant. Referring to domestic and abroad researches towards energy efficiency management, based on Cloud model and data envelopment analysis (DEA) model, a qualitative and quantitative index system and a comprehensive diagnostic model (CDM) are construed. To testify rationality and usability of CDM, case studies of large-scaled Chinese thermal power plants have been conducted. In this case, CDM excavates such qualitative factors as technology, management, and so forth. The results shows that, compared with conventional model, which only considered production running parameters, the CDM bears better adaption to reality. It can provide entities with efficient instruments for energy efficiency diagnosis.

Evaluation of the energy efficiency of combined cycle gas turbine. Case study of Tashkent thermal power plant, Uzbekistan

2016 ◽  
Vol 103 ◽  
pp. 501-509 ◽  
Author(s):  
Zarif Aminov ◽  
Nobukazu Nakagoshi ◽  
Tran Dang Xuan ◽  
Osamu Higashi ◽  
Khusniddin Alikulov
Keyword(s):  
Energy Efficiency ◽  
Power Plant ◽  
Gas Turbine ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Combined Cycle
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