Correlations among Footprints within Biomass Energy Supply-Chains

Author(s):  
Lidija Čuček ◽  
Jiří J. Klemeš ◽  
Petar S. Varbanov ◽  
Zdravko Kravanja
2019 ◽  
Vol 13 (10) ◽  
pp. 1367-1391 ◽  
Author(s):  
Zhong-Zhong Jiang ◽  
Na He ◽  
Lei Xiao ◽  
Ying Sheng

Energy ◽  
2012 ◽  
Vol 44 (1) ◽  
pp. 135-145 ◽  
Author(s):  
Lidija Čuček ◽  
Petar Sabev Varbanov ◽  
Jiří Jaromír Klemeš ◽  
Zdravko Kravanja

2010 ◽  
Vol 34 (5) ◽  
pp. 782-792 ◽  
Author(s):  
Hon Loong Lam ◽  
Petar Sabev Varbanov ◽  
Jiří Jaromír Klemeš

Author(s):  
Talip Arsu

Electricity generation, one of the renewable energy sources (RES), delivers a solution for various problems such as energy efficiency, energy supply security, reducing foreign dependency, and especially, environmental concerns. However, the solutions provided for these problems bring along the question of which RESs are produced more effectively. Therefore, in this research, RESs used for electricity generation in Turkey were analyzed by using generation data to show which one is more effective. Bi-objective multiple-criteria data envelopment analysis (BiO-MCDEA) method, a goal programming-based efficiency determination method, was used for the efficiency analysis conducted for five years between the years of 2014 and 2018. As a result of the analysis, geothermal energy came into prominence as the most effective RES for all of the years included in the solution. Geothermal energy was followed by biomass energy, wind energy, hydroelectric, and solar energy, respectively.


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