A new algorithm to improve the energy efficiency of a coal-fired thermal power plant by determining the optimum excavation parameters in an opencast lignite mines

2021 ◽  
Vol 28 (3) ◽  
pp. 374
Author(s):  
Ali Can Ozdemir ◽  
Ahmet Dag
2017 ◽  
Vol 12 (2) ◽  
pp. 191-197 ◽  
Author(s):  
Marko Ristic ◽  
Ljiljana Radovanovic ◽  
Radica Prokic-Cvetkovic ◽  
Goran Otic ◽  
Jasmina Perisic ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Jing-Min Wang ◽  
XiaoJie Ge ◽  
LiLi Zhang ◽  
Hang Zhang

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.


2016 ◽  
Vol 103 ◽  
pp. 501-509 ◽  
Author(s):  
Zarif Aminov ◽  
Nobukazu Nakagoshi ◽  
Tran Dang Xuan ◽  
Osamu Higashi ◽  
Khusniddin Alikulov

Sign in / Sign up

Export Citation Format

Share Document