Using multi-criteria decision-making methods to select the best location for the construction of a biomass power plant i
- PDF / 1,018,012 Bytes
- 18 Pages / 595.276 x 790.866 pts Page_size
- 43 Downloads / 150 Views
Using multi‑criteria decision‑making methods to select the best location for the construction of a biomass power plant in Iran Reza Shahraki Shahdabadi1 · Akbar Maleki1 · S. Haghighat2 · Mohammad Ghalandari3,4 Received: 8 June 2020 / Accepted: 18 September 2020 © Akadémiai Kiadó, Budapest, Hungary 2020
Abstract Biomass is one of the most convenient types of renewable energy resources around the world. Densely populated areas all over the globe produce a vast amount of mineral and organic wastes which can be perfect candidates for biomass energy generation. Therefore, the location in which a biomass power plant is installed is of utmost importance. In this research, feasibility of biomass energy generations has been studied by implementing the Multi-Criteria Decision-Making Method. In order to perform this study, SAW, TOPSIS, and ELECTRE methods have been implemented using Shannon entropy mass method. Furthermore, sensitivity analysis has been carried out for 6 different criteria mass for all of the applied decision-making methods. In order to test and verify these models, appropriate areas in East and North East of Iran have been chosen. Afterward, selected cities in this area have been prioritized via various criteria, namely waste production per capita, slope, temperature, relative humidity, population, distance from fault, distance from road, distance from city center, precipitation, number of freezing days and altitude. Mass results indicated that population criterion had the highest mass, while altitude had the lowest mass. Additionally, prioritization results via all three methods unanimously showed that city of Mashhad, located in province of Razavi Khorasan, is the most appropriate spot to install a biomass power plant due to its high population. Furthermore, city of Nehbandan, located in Southern Khorasan, is the worst place for biomass power plant due to population index and distance from electrical power substation. TOPSIS showed the least sensitivity to criteria mass among the employed methods. Keywords Biomass · Renewable energy · Multi-criteria decision making · TOPSIS
Introduction Energy has an undeniable impact on societies and economy, thus making it a necessary factor in determining global development strategies [1]. Industrial revolution and rapid development of industrial sector have led to an incremental * Akbar Maleki [email protected]; [email protected] * Mohammad Ghalandari [email protected] 1
Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran
2
Department of Renewable Energies, Faculty of New Science and Technologies, University of Tehran, Tehran, Iran
3
Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam
4
Faculty of Electrical‑Electronic Engineering, Duy Tan University, Da Nang 550000, Vietnam
trend in energy consumption [2, 3]. Consequently, increased rate of fossil fuel consumption has caused vast amount of greenhouse gas emission and environmental issues [4, 5]. As a sol
Data Loading...
