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.2021.121189Additional 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.