The Location of Thermal Power Plants by Using an Integrated Models of AHP and TOPSIS

Document Type : Original Article


1 Department of Environment, Islamic Azad University, Tehran-North Branch,Tehran, Iran

2 Department of Environment, Islamic Azad University, Shahrood, Iran


Selecting optimal location of gas power plants is one of challenging issues in the environmental assessment of development projects. This article aimed to study the optimal location for the construction of a thermal power plant in Sirjan, Iran based in environmental criteria using an integrated method (AHP1 and TOPSIS2). In this research, we studied the certain regional features. Delphi was used to identify the environment, power plant-related parameters affecting the location process. AHP was employed to prioritize and determine the weights of criteria and sub-criteria in Expert Choice. Then, TOPSIS and prioritized criteria by AHP were employed to form the decision matrix for 6 sites based on 13 macro indices and 36 sub-criteria. In this study, combined components were taken into account including power plant factors; environmental, physical, and biological factors, technical-economic factor, and background contamination. The results showed that Technical-Economic Factor with the weight of 0.4830 was prioritized first followed by Physical and Biological Index with weights of 0.272 and 0.157, respectively. Then, expert judgments were used in TOPSIS decision-making process in order to form the initial matrix. Once this stage was complete, the matrices were weighted using the weights of criteria. The distance of each option was estimated from the Positive Ideal Solution and Negative Ideal Solution. Accordingly, Closeness Coefficient was calculated. Eventually, the best site scenario was determined. Among the six proposed sites, Site II was found to be the best option in terms of environmental, economic, and technical factors.


Al- Najjar, B.; Alsyouf, I., Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making. Int. J. Prod. Econ.2003; 84 (1): 85-100.
Amelia, L.; Wahab, D.A..; Che Haron, C.H.; Muhamad, N.; Azhari, C.H., Initiating automotive component reuse in Malaysia. J. Clean. Prod.,2009; 17 (3): 1572- 1579.
Awasthi, A.; Chauhan, S.;, Goyal, S.K., A fuzzy multicriteria approach for evaluating
the environmental performance of suppliers. Int. J. Prod. Econ.,2010 . 126(2): 370-378.
Charles, J.C.; Pan, J.N., Evaluation environmental performance using statistical process control techniques. Eur. J. Oper. Res .,2002;139 (3): 68-83.
Chang, B.; Chang, C.W.; Wu, C.H., Fuzzy TOPSIS method for developing supplier selection criteria. Expert. Syst. Appl.,2011; 38 (2): 1850- 1858.
Christmann, P.; Taylor, G., Globalization and the environment: determinants of firm self-regulation in China. J. Int. Bus. Stud.,2011; 32 (3): 439- 458.
Claver, E.; Lopez, M. D.; Molina, J.F.; Tari, J.J., Environmental management and firm performance: A case study. J. Environ.Manage.,2007; 84 (2): 606- 619.
Chang, B.; Chang, C.W.; Wu, C.H.; Fuzzy TOPSIS method for developing supplier selection criteria. Expert. Syst. Appl.,2007;38 (2): 1850- 1858.
Diabat, A.; Govindan, K., An analysis of the drivers affecting the implementation of green supply chain management. Resour. Conserv. Recy.,2010; 55 (6): 659–667.
Eltayeb, T.K.; Zailani, S.; Ramayah, T., Green supply chain initiatives among certified companies in Malaysia and environmental sustainability: Investigating the outcomes.Resour. Conserv. Recy.,2011; 55 (5): 495- 506.
Gerrard, J.;Kandlikar, M., Is European end of life vehicle legislation living up to expectation? Assessing the impact of the ELV directive on “green” innovation and vehicle recovery. J. Clean. Prod.,2010; 15 (3): 17-27.
Hervani, A.A.; Helms, M.M.; Sarkis, J. , Performance measurement for green supply chain management. Benchmarking: An Int. J. l.,2005; 12(4): 330-353.
Hori, S.; Shimizu, Y., Designing methods of human interface for supervisory control systems. Contr. Eng. Pract.,1999; 7(11): 1413-1419.
Jassbi, J.; Mohamadnejad, F.; Nasrollahzadeh, H., A fuzzy TOPSIS framework for modeling cause and effect relationships of strategy map Expert. Syst. Appl.,2011;38 (4): 5967- 5973.
Kumar, R.S.; Bala Subrahmanya, M.H., Influence of subcontracting on innovation and economic performance of SMEs in Indian automobile
  • Receive Date: 17 January 2019
  • Revise Date: 05 June 2019
  • Accept Date: 12 July 2019
  • First Publish Date: 22 August 2019