EconPapers    
Economics at your fingertips  
 

Location selection for waste-to-energy plants by using fuzzy linear programming

Esra Ilbahar, Cengiz Kahraman and Selcuk Cebi

Energy, 2021, vol. 234, issue C

Abstract: Effective energy management has become more prominent with the population growth and increasing industrialization. In order to provide an effective planning, it is important to use all kinds of renewable energy sources efficiently. The main renewable energy sources are solar, geothermal, biomass, hydropower and wind. Agricultural, forest, animal and municipal solid wastes are considered as potential resources for biomass. However, the uncertainty in the obtained amount of biomass complicates the related facility investment decisions. Fuzzy linear programming is quite useful to handle impreciseness in resource availability constraints. Therefore, in this paper, the most suitable locations for waste-to-energy power plants in Central Anatolia Region of Turkey are investigated by using a fuzzy linear programming model. It is concluded that Ankara, Konya, Kayseri, Eskisehir, Sivas and Aksaray are the most suitable cities for the investment.

Keywords: Location selection; Waste-to-energy; Fuzzy sets; Linear programming (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221014377
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:234:y:2021:i:c:s0360544221014377

DOI: 10.1016/j.energy.2021.121189

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:energy:v:234:y:2021:i:c:s0360544221014377