The world's energy landscape is undergoing rapid transformation as societies strive towards renewable and sustainable power sources in response to the need for energy security and climate change. Depletion of fossil fuels and increasing focus on environmental sustainability have been significant drivers in this global shift towards renewables. Among the promising solutions, solar-wind hybrid energy systems have gained attention, capitalizing on the complementary nature of solar and wind resources. However, selecting the optimal site for these hybrid plants is crucial for their successful implementation and efficiency. This research introduces a comprehensive methodology for site selection, seamlessly integrating the Delphi method and Analytic Hierarchy Process (AHP). The Delphi method harnesses expert consensus to distil essential criteria, while AHP offers a structured framework to evaluate and prioritize these criteria. The results showed successful utilization of the AHP and Delphi techniques for evaluating the optimal location selection among different cities for solar-wind hybrid energy harnessing in the northwest region of Pakistan. The key factors for selection of optimal location were identified through expert feedback and analysis. Among the selected key main criteria, resource availability and infrastructure and socio-economic factors emerged as the top-ranked criteria in this study. The results of this study hold significant relevance and should be duly considered for solar-wind power project site selection, while also offering opportunities for further enhancements in the future.
multi criteria decision making, site selection, renewable energy, analytic hierarchy process, Delphi method
Abdul Rehman. Corresponding author. Department of Industrial Engineering, UET Taxila, Pakistan. Corresponding email: abdul.r1604@gmail.com
Wasim Ahmad. Department of Industrial Engineering, UET Taxila, Pakistan
Abdullah, Zhou, D., Shah, T., Jebran, K., Ali, S., Ali, A., & Ali, A. (2017). Acceptance and Willingness to Pay for Solar Home System: Survey Evidence from Northern Area of Pakistan. Energy Rep., 3, 54–60.
Acar, I., Özkan, A., & Banar, M. (2003). Evaluation of the Alternative Solid Waste Landfill Sites by Decision Analysis with Multiple Criteria: A Case Study in Eskişehir City/Turkey. 8th Annual International Conference on Industrial Engineering-Theory.
Ali, Y., Butt, M., Sabir, M., Mumtaz, U., & Salman, A. (2018). Selection of suitable site in Pakistan for wind power plant installation using analytic hierarchy process (AHP). Journal of Control and Decision, 5(2), 117-128.
Al-Yahyai, S., Charabi, Y., Gastli, A., & Al-Badi, A. (2012). Wind farm land suitability indexing using multi-criteria analysis. Renewable Energy, 44, 80-87.
Aydin, N. Y., Kentel, E., & Duzgun, H. S. (2013). GIS-based site selection methodology for hybrid renewable energy systems: A case study from western Turkey. Energy conversion and management, 70, 90-106.
Azizi, A., Malekmohammadi, B., Jafari, H. R., Nasiri, H., & Amini Parsa, V. (2014). Land suitability assessment for wind power plant site selection using ANP-DEMATEL in a GIS environment: case study of Ardabil province, Iran. Environmental monitoring and and assessment, 186, 6695-6709.
Baloch, M. H., Chauhdary, S. T., Ishak, D., Kaloi, G. S., Nadeem, M. H., Wattoo, W. A., & Hamid, H. T. (2019). Hybrid energy sources status of Pakistan: An optimal technical proposal to solve the power crises issues. Energy Strategy Reviews, 24, 132-.
Brewer, J., Ames, D. P., Solan, D., Lee, R., & Carlisle, J. (2015). Using GIS analytics and social preference data to evaluate utility-scale solar power site suitability. Renewable energy, 81, 825-836.
Brunelli, M. (2014). Introduction to the analytic hierarchy process. Springer.
Cavallaro, F. (2010). Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (CSP) systems. Applied Energy, 87(2), 496-503.
Dawod, G., & Mandoer, M. S. (2016). Optimum sites for solar energy harvesting in Egypt based on multi-criteria GIS. In the first Future University international conference on new energy and environmental engineering, pp. 11-14.
Farooqui, S. Z. (2014). Prospects of renewables penetration in the energy mix of Pakistan. Renewable and Sustainable Energy Reviews, 29, 693-700.
Gatzert, N., & Kosub, T. (2016). Risks and risk management of renewable energy projects: The case of onshore and offshore wind parks. Renewable and Sustainable Energy Reviews, 60, 982-998.
Gigović, L., Pamučar, D., Božanić, D., & Ljubojević, S. (2017). Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia. Renewable energy, 103, 501-521.
Goh, H.H., Li, C. & Zhang, D. (2022). Application of choosing by advantages to determine the optimal site for solar power plants. Sci Rep 12, 4113 (2022). https://doi.org/10.1038/s41598-022-08193-1
Heo, E., Kim, J., & Boo, K. J. (2010). Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP. Renewable and sustainable energy reviews, 14(8), 2214-2220.
Hosseinzadeh, S., Etemad-Shahidi, A., & Stewart, R. A. (2023). Site Selection of Combined Offshore Wind and Wave Energy Farms: A Systematic Review. Energies, 16(4), 2074. MDPI AG. Retrieved from http://dx.doi.org/10.3390/en16042074
Khazael, S. M. & Al-Bakri, M. (2021). The Optimum Site Selection for Solar Energy Farms using AHP in GIS Environment, A Case Study of Iraq. Iraqi Journal of Science, 62(11), 4571–4587. https://doi.org/10.24996/ijs.2021.62.11(SI).36
Klessmann, C., Held, A., Rathmann, M., & Ragwitz, M. (2011). Status and perspectives of renewable energy policy and deployment in the European Union—What is needed to reach the 2020 targets? Energy policy, 39(12), 7637-7657.
Kocabaldır, C. & Yücel, M. A. (2020). GIS-Based Multi-Criteria Decision Analysis of Site Selection for Photovoltaic Power Plants in Çanakkale Province. International Journal of Environment and Geoinformatics, 7 (3) , 347-355 . DOI: 10.30897/ijegeo.689570
Kollati, H., & Debnath, A. (2021). A short review on different techniques used for site selection of air quality monitoring stations. Journal of Industrial Engineering and Decision Making, 2(1), 27-30.
Latinopoulos, D., & Kechagia, K. (2015). A GIS-Based Multi-Criteria Evaluation for Wind Farm Site Selection. A Regional Scale Application in Greece. Renewable Energy , 78, 550–560.
Lee, A. H., Chen, H. H., & Kang, H. Y. (2009). Multi-criteria decision making on strategic selection of wind farms. Renewable Energy, 34(1), 120-126.
Lee, A. H., Hung, M. C., Kang, H. Y., & Pearn, W. L. (2012). A wind turbine evaluation model under a multi-criteria decision making environment. Energy Conversion and Management, 64, 289-300.
Linstone, H. A. (1975). The delphi method. MA: Addison-Wesley.
List of power stations in Pakistan. (n.d.). Retrieved from wikipedia: https://en.wikipedia.org/wiki/List_of_power_stations_in_Pakistan#cite_note-:0-1
Muhammet Deveci, M., Cali, U. & Pamucar, D. (2021). Evaluation of criteria for site selection of solar photovoltaic (PV) projects using fuzzy logarithmic additive estimation of weight coefficients. Energy Reports. Volume 7, November 2021, Pages 8805-8824. https://doi.org/10.1016/j.egyr.2021.10.104
Noorollahi, Y., Yousefi, H., & Mohammadi, M. (2016). Multi-criteria decision support system for wind farm site selection using GIS. Sustainable Energy Technologies and Assessments, 13, 38-50.
NREL.PakistanResourceMapsandToolkit. (2017, January 1). Retrieved from NREL: https://www.nrel.gov/international/ ra_pakistan.html
PakistanResourceMapsandToolkit—NREL. (2017, January 1). Retrieved from NREL: https://www.nrel.gov/international/ ra_pakistan.html
Pamučar, D., Gigović, L., Bajić, Z., & Janošević, M. (2017). Location selection for wind farms using GIS multi-criteria hybrid model: An approach based on fuzzy and rough numbers. Sustainability, 9(8), 1315.
Rauf, O., Wang, S., Yuan, P., & Tan, J. (2015). An overview of energy status and development in Pakistan. Renewable and Sustainable Energy Reviews, 48, 892-931.
Rediske, G., Siluk, J., Gastaldo, N., Rigo, P. & Rosa, C. (2018). Determinant factors in site selection for photovoltaic projects: A systematic review. International Journal of Energy Research. Volume 43, Issue 5. 1689-1701. https://doi.org/10.1002/er.4321
Renewable Capacity Statistics. (2021). Retrieved from International Renewable Energy Agency (IRENA): https://www.irena.org/publications/2021/Apr/Renewable-Capacity-Statistics-2021
Sánchez-Lozano, J. M., García-Cascales, M. S., & Lamata, M. T. (2016). GIS-based onshore wind farm site selection using Fuzzy Multi-Criteria Decision Making methods. Evaluating the case of Southeastern Spain. Applied Energy, 171, 86-102.
Shaikh, F., Ji, Q., & Fan, Y. (2015). The Diagnosis of an Electricity Crisis and Alternative Energy Development in Pakistan. Renew. Sustain. Energy Rev. , 52, 1172–1185.
Sheikh, M. A. (2010). Energy and renewable energy scenario of Pakistan. Renewable and Sustainable Energy Reviews, 14(1), 354-363.
Solangi, Y. A., Tan, Q., Khan, M. W., Mirjat, N. H., & Ahmed, I. (2018). The selection of wind power project location in the Southeastern Corridor of Pakistan: A factor analysis, AHP, and fuzzy-TOPSIS application. Energies, 11(8), 1940.
Soydan, O. Solar power plants site selection for sustainable ecological development in Nigde, Turkey. SN Appl. Sci. 3, 41 (2021). https://doi.org/10.1007/s42452-020-04112-z
Spyridonidou, S. & Vagiona, D.G. (2023). A systematic review of site-selection procedures of PV and CSP technologies. Energy Reports. Volume 9, December 2023, Pages 2947-2979. https://doi.org/10.1016/j.egyr.2023.01.132
Tafula, J.E.; Justo, C.D.; Moura, P.; Mendes, J.; Soares, A. Multicriteria Decision-Making Approach for Optimum Site Selection for Off-Grid Solar Photovoltaic Microgrids in Mozambique. Energies 2023, 16, 2894. https://doi.org/ 10.3390/en16062894
Tahri, M., Hakdaoui, M., & Maanan, M. (2015). The evaluation of solar farm locations applying Geographic Information System and Multi-Criteria Decision-Making methods: Case study in southern Morocco. Renewable and sustainable energy reviews, 51, 1354-1362.
Tegou, L. I., Polatidis, H., & Haralambopoulos, D. A. (2010). Environmental management framework for wind farm siting: Methodology and case study. Journal of environmental management, 91(11), 2134-2147.
Ullah, Z., Ali, S. M., Khan, I., Wahab, F., Ellahi, M., & Khan., B. (2020). Major Prospects of Wind Energy in Pakistan. International Conference on Engineering and Emerging Technologies (ICEET), 2020,, (pp. pp. 1-6).
Van Haaren, R., & Fthenakis, V. (2011). GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the case for New York State. Renewable and sustainable energy reviews, 15(7), 3332-3340.
Vasant, L. G., & Pawar, V. R. (2017). Solar-wind hybrid energy system using MPPT. In 2017 international conference on intelligent computing and control systems (ICICCS), (pp. pp. 595-597).
Wakeel, M., Chen, B., & Jahangir, S. (2016). Overview of energy portfolio in Pakistan. Energy Procedia, 88, 71-75.
Wanderer, T., & Herle, S. (2015). Creating a spatial multi-criteria decision support system for energy related integrated environmental impact assessment. Environmental Impact Assessment Review, 52, 2-8.
Wątróbski, J., Ziemba, P., & Wolski, W. (2015). Methodological aspects of decision support system for the location of renewable energy sources. In 2015 Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 1451-1459.
WIND ENERGY PROJECT. (2017, November 22). Retrieved from PMD : http://www.pmd.gov.pk/wind/Wind_Project_files/ Page767.html
Wissing, T. (2013). “Renewable Ocean Energy Site Selection Using a GIS: Gulf Coast Potential” (2013). Master’s Theses. 524. https://aquila.usm.edu/masters_theses/524
World Energy Outlook. (2020). Retrieved from International Energy Agency (IEA): https://www.iea.org/reports/world-energy-outlook-2020
Wu, Y., Zhang, J., Yuan, J., Geng, S., & Zhang, H. (2016). Study of decision framework of offshore wind power station site selection based on ELECTRE-III under intuitionistic fuzzy environment: A case of China. Energy Conversion and Management, 113, 66-81.
Yeh, T. M., & Huang, Y. L. (2014). Factors in determining wind farm location: Integrating GQM, fuzzy DEMATEL, and ANP. Renewable Energy,, 66, 159-169.
Yunna, W., & Geng, S. (2014). Multi-criteria decision making on selection of solar–wind hybrid power station location: A case of China. Energy Conversion and Management, 81, 527-533.
Yun-na, W., Yi-sheng, Y., Tian-tian, F., Li-na, K., Wei, L., & Luo-jie, F. (2013). Macro-site selection of wind/solar hybrid power station based on Ideal Matter-Element Model. International Journal of Electrical Power & Energy Systems, 50, 76-84.
Zafar, U., Ur Rashid, T., Khosa, A., Khalil, M., & Rahid, M. ( 2018). An Overview of Implemented Renewable Energy Policy of Pakistan. Renew. Sustain. Energy Rev., 82, 654–665.
Cite this article:
Abdul Rehman & Wasim Ahmad (2023). Site selection for sustainable wind-solar hybrid energy harvesting plant. International Journal of Academe and Industry Research, 4 (3), 105-131. https://doi.org/10.53378/353014
License:
This work is licensed under a Creative Commons Attribution (CC BY 4.0) International License.