Published April 1, 2022 | Version v1
Journal article

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

  • 1. Department of Industrial Engineering, Istanbul Technical University, Macka, 34367, Istanbul (Turkey)
  • 2. Department of Industrial Engineering, Yildiz Technical University, Besiktas, 34349, Istanbul (Turkey)

Description

Highlights: • Renewable energy investment with uncertain information is analyzed. • The investments on waste to energy power plants are examined. • The most suitable locations for waste to energy power plants are determined. • The capacities of the power plants are identified using fuzzy linear programming. • Both comparative and sensitivity analyses are performed in the case study. 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.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2021.121189

Additional details

Identifiers

DOI
10.1016/j.energy.2021.121189;
PII
S0360544221014377;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
234
Journal Page Range
vp.
ISSN
0360-5442
CODEN
ENEYDS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54003457
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY; S09: BIOMASS FUELS;
Descriptors DEI
BIOMASS; ENERGY MANAGEMENT; FUZZY LOGIC; HYDROELECTRIC POWER; INVESTMENT; LINEAR PROGRAMMING; PLANNING; POWER PLANTS; SENSITIVITY ANALYSIS; SOLID WASTES
Descriptors DEC
CALCULATION METHODS; ELECTRIC POWER; ENERGY SOURCES; MANAGEMENT; MATHEMATICAL LOGIC; POWER; RENEWABLE ENERGY SOURCES; WASTES

Optional Information

Copyright
Copyright (c) 2021 Elsevier Ltd. All rights reserved.