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Multi-Criteria Decision Making (MCDM) Approach for Selecting Solar Plants Site and Technology: A Review

1Faculty of New Sciences and Technologies, Tehran University, A.C., Tehran, Iran, Islamic Republic of

2Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood,, Iran, Islamic Republic of

3Department of Chemical Engineering, University of Diponegoro Jl. Prof. Sudharto, Tembalang, Semarang, 50239, Indonesia, Indonesia

Published: 2 Feb 2019.
Editor(s): H Hadiyanto

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Renewable energies have many advantages and their importance is rising owing to gravely mounting concerns for environmental issues and lack of fossil fuels in the future. Solar energy, well acknowledged as an inexhaustible source of energy, is developing dramatically for different purposes such as desalination and electricity generation. Appropriate solar power plant is very important factor for power generation due to its cost and other constraints. The applied technology is as important as the solar power plants location.  In this paper, a wide variety multi criteria decision making (MCDM) methods, investigated by various researchers, are presented to obtain effective criteria in selecting solar plants sites and solar plants technologies. There is not any comprehensive research providing all required criteria for decision making for site and technology selection. Based on the reviewed researches, weight of each criterion depends on many factors such as region, economy, accessibility, power network, maintenance costs, operating costs, etc. The important criteria for site selection are represented and investigated thoroughly in this review paper.

© 2019. CBIORE-IJRED. All rights reserved

Article History: Received June 17th 2017; Received in revised form March 7th 2018; Accepted June 16th 2018; Available online

How to Cite This Article: Ghasempour, R., Nazari, M.A., Ebrahimi, M., Ahmadi, M.H. and Hadiyanto, H. (2019) Multi-Criteria Decision Making (MCDM ) Approach for Selecting Solar Plants Site and Technology: A Review. Int Journal of Renewable Energy Development, 8(1), 15-25.

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Keywords: Solar Energy;PV; MCDM;Renewable Energy

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  1. Ahammed, F. and Abdullahil, A. (2013). Selection of the most appropriate package of Solar Home System using Analytic Hierarchy Process model in rural areas of Bangladesh. Renewable Energy 55, 6–11
  2. Ahmad, S. and Razman, M.T. (2014). Selection of renewable energy sources for sustainable development of electricity generation system using analytic hierarchy process: A case of Malaysia. Renewable Energy 63, 458–466
  3. Amer, M. and Tugrul, U.D. (2011). Selection of renewable energy technologies for a developing county: A case of Pakistan. Energy for Sustainable Development 15, 420-435
  4. Andresen, I. (2000). A multi-criteria decision-making method for solar building design
  5. Arab, M., Soltanieh, M. and Shafii, M.B. (2012). Experimental investigation of extra-long pulsating heat pipe application in solar water heaters. Experimental Thermal and Fluid Science 42, 6–15
  6. Aragonés-Beltrán, P., Chaparro-González, F., Pastor-Ferrando, J.P. and Pla-Rubio,A. (2014). An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects. Energy 66, 222–238
  7. Asakereh, A., Omid, M., Alimardani, R and Sarmadian, F. (2014). Developing a GIS-based Fuzzy AHP Model for Selecting Solar Energy Sites in Shodirwan Region in Iran. International Journal of Advanced Science and Technology 68, 37-48
  8. Baniasad A, I., Sadegh, M.O and Ameri, M. (2015). Energy management and economics of a trigeneration system Considering the effect of solar PV, solar collector and fuel price. Energy for Sustainable Development 26: 43-55
  9. Cavallaro, F. (2009). Multi-criteria decision aid to assess concentrated solar thermal technologies. Renewable Energy 34 (7), 1678–1685
  10. Cavallaro, F. (2010). Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (CSP) systems. Applied Energy 87 (2), 496–503
  11. Chandrasekhar, V, Marthuvanan, M., Ramkumar,M.M., Shriram,R. Manickavasagam,V.M. and Ramnath, B.V. (2013). MCDM approach for selecting suitable solar tracking system. 7th International Conference on Intelligent Systems and Control (ISCO)
  12. Chatzimouratidis, A.I. and Petros A. Pilavachi, P.A. (2008). Multicriteria evaluation of power plants impact on the living standard using the analytic hierarchy process. Energy Policy 36 (3), 1074–1089
  13. Chatzimouratidis, A. I., and Pilavachi P.A. (2009). Technological, economic and sustainability evaluation of power plants using the Analytic Hierarchy Process. Energy Policy 37 (3), 778–787
  14. Chen, C-R, Huang,C.C and Tsuei, H.J (2014). A Hybrid MCDM Model for Improving GIS-Based Solar Farms Site Selection. International Journal of Photoenergy
  15. Dellosa, JT. (2016). Potential Effect and Analysis of High Residential Solar Photovoltaic (PV) Systems Penetration to an Electric Distribution Utility (DU). Int. Journal of Renewable Energy Development 179-185
  16. García-Cascales, M., Socorro, Lamata, M.T. and Sánchez-Lozano, M.J. (2012). Evaluation of photovoltaic cells in a multi-criteria decision-making process. Annals of Operations Research 199 (1), 373–391
  17. Gupta, N. (2011). Material selection for thin-film solar cells using multiple attribute decision making approach. Materials & Design 32 (3), 1667–1671
  18. Hoque, N., Roy, A., Beg, M.R.A. and Das.B.K. (2016). Techno-Economic Evaluation of Solar Irrigation Plants Installed in Bangladesh. Int. Journal of Renewable Energy Development 73-78
  19. Jahangiri, M S., Gholami, D., Ghiasi, M., Shafii, MB and Shiee.Z. (2014). Experimental investigation of the effect of using thermosyphon heat pipes and vacuum glass on the performance of solar sti. Energy 75, 501–507
  20. Kaa, G, Rezaei, J., Kamp, L and de Winter, A. (2014.) Photovoltaic technology selection: A fuzzy MCDM approach. Renewable and Sustainable Energy Reviews 32, 662–670
  21. Kabak, M and Dağdeviren, M (2014). Prioritization of renewable energy sources for Turkey by using a hybrid MCDM methodology. Energy Conversion and Management 79, 25–33
  22. Kahraman, C., İ Kaya,I and Cebi.S. (2009). A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process. Energy 34 (10), 1603–1616
  23. Kengpol, A., Rontlaong, P. and Tuominen.M. (2013). A Decision Support System for Selection of Solar Power Plant Locations by Applying Fuzzy AHP and TOPSIS: An Empirical Study. Jouranl of Software Engineering and Application 6 (9)
  24. Kumar, R., and Singal. S.K. (2015). Selection of Best Operating Site of SHP Plant based on Performance. Procedia - Social and Behavioral Sciences 189,110-116
  25. Luthra, S., Govindan, K., Ravinder K. K, and Mangla, S.K. (2016). Evaluating the enablers in solar power developments in the current scenario using fuzzy DEMATEL: An Indian perspective. Renewable and Sustainable Energy Reviews 63,379–397
  26. Miguel Sánchez-Lozano, J., Socorro García-Cascales, M. and Teresa Lamata. M. (2013). Decision Criteria for Optimal Location of Solar Plants: Photovoltaic and Thermoelectric. Assessment and Simulation Tools for Sustainable Energy Systems 129,79-91
  27. Mohsen, Mousa S., and Bilal A. Akash. 1997. "Evaluation of domestic solar water heating system in Jordan using analytic hierarchy process." Energy Conversion and Management 38 (18): 1815–1822
  28. Naick, B.K., Chatterjee,T.K. and Chatterjee, K (2017). Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation. Int. Journal of Renewable Energy Development 65-74
  29. Narei, H., Ghasempour, R. and Noorollahi.Y. (2016). The effect of employing nanofluid on reducing the bore length of a vertical ground-source heat pump. Energy Conversion and Management 123, 581–591
  30. Narei, H., Ghasempour,R. and Noorollahi, Y (2016). The effect of employing nanofluid on reducing the bore length of a vertical ground-source heat pump. Energy Conversion and Management 123, 581–591
  31. Nigim, K., Munier, N.and Green. J. (2004). Pre-feasibility MCDM tools to aid communities in prioritizing local viable renewable energy sources. Renewable Energy 29 (11): 1775–1791
  32. Nixon, J.D., Dey, P.K. and Davies. P.A. (2010). Which is the best solar thermal collection technology for electricity generation in north-west India? Evaluation of options using the analytical hierarchy process. Energy 35 (12),5230–5240
  33. Nixon, J.D., Dey, P.K. and Davies. P.A. (2013). Design of a novel solar thermal collector using a multi-criteria decision-making methodology. Journal of Cleaner Production 59: 150–159
  34. Noorollahi, Y., Ghasempour, R. and Jalilinasrabady, S. (2015). A GIS Based Integration Method for Geothermal Resources Exploration and Site Selection. Energy Exploration & Exploitation 33 (2): 243-257
  35. Olimat, A.N. (2017). Study of Fabricated Solar Dryer of Tomato Slices Under Jordan Climate Condition. Int. Journal of Renewable Energy Development 93-101
  36. Pohekar, S.D., and Ramachandran, M. (2004). Application of multi-criteria decision making to sustainable energy planning—A review. Renewable and Sustainable Energy Reviews 8 (4), 365–381
  37. Sánchez-Lozano, J.M., García-Cascales, M.S. and Lamata M.T. (2015). Evaluation of suitable locations for the installation of solar thermoelectric power plant. Computers & Industrial Engineering 87, 343–355
  38. Şengül, Ü., Miraç,E., Shiraz, S.E., Gezder, V. and Şengül, A.B. (2015). Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey. Renewable Energy 75, 617–625
  39. Shiue, Y.-C. and Lin. C-Y. (2012). Applying analytic network process to evaluate the optimal recycling strategy in upstream of solar energy industry. Energy and Buildings 54, 266–277
  40. Singh, A., Vats, G and Khanduja. D. (2016). Exploring tapping potential of solar energy: Prioritization of Indian states. Renewable and Sustainable Energy Reviews 58, 397–406
  41. Tang, Y., Sun, H., Yao, Q. and Wang. Y. (2014). The selection of key technologies by the silicon photovoltaic industry based on the Delphi method and AHP (analytic hierarchy process): Case study of China. Energy 75, 474–482
  42. Tarwidi, D., Murdiansyah, D.T. and Ginanjar.N (2016). Performance Evaluation of Various Phase Change Materials for Thermal Energy Storage of A Solar Cooker via Numerical Simulation. Int. Journal of Renewable Energy Development 199-210
  43. Toghi E., Amin, R. G., Fatemeh, R. and Fatollah, P. (2015). Evaluation of nanoparticle shape effect on a nanofluid based flat-plate solar collector efficiency. Energy, Exploration & Exploitation 33 (5)
  44. Uyan, M. (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
  45. Vafaeipour, M., Sarfaraz, H. Z., Varzandeh, M.H.M, Derakhti, A. and Eshkalag,M.K. (2014). Assessment of regions priority for implementation of solar projects in Iran: New application of a hybrid multi-criteria decision-making approach. Energy Conversion and Management 86, 653–663
  46. Watson, J. and Malcolm D. H. (2015). Regional Scale wind farm and solar farm suitability assessment using GIS-assisted multi-criteria evaluation. Landscape and Urban Planning 138, 20–31
  47. Zeyuan, Y. (2013). Selection of Solar Cell based on TOPSIS Method. International Conference on Advanced Information Engineering and Education Science (ICAIEES 2013)
  48. Zoghi, M., Amir, H.E., Mahdis, S., Amiri,,M.J and Sepideh, K (2015). Optimization solar site selection by fuzzy logic model and weighted linear combination method in arid and semi-arid region: A case study Isfahan-IRAN. Renewable and Sustainable Energy Reviews

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