GIS-Based Multi Criteria Evaluation for Thermal Power Plant Site Selection in Kahnuj County, SE Iran

Document Type : Technical Notes


1 Department of Natural Resources, Isfahan University of Technology, Isfahan 83111-84156, Iran

2 Isfahan University of Technology

3 Soffianian


Choosing a location for a power plant site is a complex task that involves evaluation of multiple factors, which should satisfy a number of economic and environmental requirements. The main aim of this study is to determine the best possible candidates for thermal power plant sites using Multi-criteria Evaluation and Geographic Information System (GIS) in Kahnuj County in the southeast of Iran. First, the affecting factors to find the best sites for power plant establishment were identified including socio-economic and environmental factors. Each criterion was mapped in the GIS environment. Then, the layers were standardized and the relative weights of these layers were determined. Finally, weighted information layers were consolidated by Weighed Linear Combination approaches in GIS environment and the suitable locations were selected and ranked accordingly. The final index maps were grouped in five categories ranging from “no suitability” to “high stability” with an equal interval classification method. As a result the most suitable sites were patches located in the north-west parts of the study area.


Main Subjects

Beheshtifar, S.M., Saadi Mesgari, M.J., Valadan Zoej, M. and Karimi, M. (2010). “Using fuzzy logic in GIS environment for site selection of gas power plan”, Journal of Civil and Surveying Engineering, 44(4), 583-595.
BP Energy Outlook 2030 London. (2012). “Energy outlook 2030”, BP, London, January.
Comber, A., Dickie, J., Jarvis, C., Phillips, M. and Tansey, K. (2015). “Locating bioenergy facilities using a modified GIS-based location–allocation-algorithm: Considering the spatial distribution of resource supply”, Applied Energy, 154, 309-316.
Höhn, J., Lehtonen, E., Rasi, S. and Rintala, J. (2014). “A Geographical Information System (GIS) based methodology for determination of potential biomasses and sites for biogas plants in southern Finland”, Applied Energy, 113, 1-10.
Iran Energy Efficiency Organization (IEEO - SABA).  (2002). “Report of the site selection strategy for new thermal power plants with considering environmental impacts”, Tehran, Iran.
Jabarian, B., (2005). “Environmentally sensitive lands designated for the construction of power plants”, Energy Efficiency Organization, Ministry of Energy, Tehran, Iran
Jafari, H., Karimi, S., Nahavandian, M. and Balist, J. (2015). “Nuclear power plant locating by WLC & GIS (Case study: Iran, Hormozgan province)”, International Journal of Basic and Applied Sciences, 4(1), 132-139.
Jangid, J., Bera, A.K., Joseph, M., Singh, V., Singh, T.P., Pradhan, B.K. and Das, S. (2016). “Potential zones identification for harvesting wind energy resources in desert region of India, a multi criteria evaluation approach using remote sensing and GIS”, Renewable and Sustainable Energy Reviews, 65, 1-10.
Jiuping, X., Xiaoling, S., Yimin, W. and Ziqiang, Z. (2015). “GIS-modeling based coal-fired power plant site identification and selection, Applied Energy, 159, 520-539.
Karimi, H., Soffianian, A., Mirghaffari, N., Soltani, S. (2016). “Determining air pollution potential using Geographic Information Systems and multi-criteria evaluation: A case study in Isfahan province in Iran”, Environmental Processes, 3(1), 229-246.
Khorasani, N., Mehrdadi, N., Darvishsefat, A.A. and Shokraie, A. (2004). “An environmental study toward site selection of landfill for the city of Sari”, Iranian Journal of Natural Resources, 57(2), 275- 284.
Malczewski, J. (1999). GIS and multicriteria decision analysis, John Wiley and Sons, New York.
Mevlut, U. (2013). “GIS-based solar farms site selection using analytic hierarchy process (AHP) in Karapinar region, Konya/Turkey”, Renewable and Sustainable Energy Reviews, 28, 11-17.
Motlagh, Z. and Sayadi, M. (2015). “Siting MSW landfills using MCE methodology in GIS environment (Case study: Birjand plain, Iran)”, Waste Management, 46, 322-337.
Raisi M., Soffianian A. (2013). “Industrial site selection by combining geographic information system and multi criteria decision analysis”, WULFENIA, 20(1), 116-129.
Saaty, T.L. (2008). “Decision making with the analytic hierarchy process”, International Journal of Services Sciences, 1 (1), 83-98.
Sadeghi, A., Danekar, A., Khorasani, N. and Naeimi, B. (2012). “Analysis of land suitability to locate thermal power plant by the use of environmental multi criteria evaluation approach, Case study: Chabahar town ship”, Geography and Development, 9(23), 123-140.
Saeidi, M., Karbasi, A., Sohrab, T. and Samadi, R. (2006). “Environmental management of thermal power plant report”, Iran Energy Efficiency Organization (IEEO - SABA), <>.
Sanchez, J., Teruel, J., Soto, P. and Socorro, M. (2013). “Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: Case study in south eastern Spain”, Renewable and Sustainable Energy Reviews, 24, 544-556.
Thomas, A., Bond, L. and Hiscock, K., (2013). “A GIS based assessment of bioenergy potential in England within existing energy systems”, Biomass and Bioenergy, 55, 107-121.
Yeo, I. and Yee, J. (2014). “A proposal for a site location planning model of environmentally friendly urban energy supply plants using an environment and energy geographical information system (E-GIS) database (DB) and an artificial neural network (ANN)”, Applied Energy, 119, 99-117.
Noorollahi, Y., Yousefi, H. and Mohammadi, M. (2016), “Multi-criteria decision support system for wind farm site selection using GIS”, Sustainable Energy Technologies and Assessments, 13, 38-50.