Volume 4 , Issue 2 , PP: 72-84, 2022 | Cite this article as | XML | Html | PDF | Full Length Article
Abedallah Z. Abualkishik 1 * , Rasha Almajed 2
Doi: https://doi.org/10.54216/IJWAC.040203
Charging points on islands are becoming highly essential due to growing environmental concerns and an increase in the number of electric ships that need to be recharged. Site choice is the first step, but there is not enough research on island photovoltaic charging station site selection (IPVCS). To select the best IPVCS site, a multi-criteria decision-making framework (MCDM) is proposed. As a result of this structure, a new set of criteria for evaluating ships is formed, and current criteria are used to suggest two new ones: "Likelihood of adverse weather" and "Charging distance of the ship." Simultaneously time, the correlation among criteria is shaky at best. Therefore, the weight of the criteria is determined first. Then the rank of the alternatives is computed by the simultaneous evaluation of criteria and alternatives (SECA). Multi-criteria techniques like SECA may be used to objectively and accurately determine the weights of criteria. The best alternative is PVC3 followed by PVC1 then PVC2 then PVC4.
Photovoltaic , MCDM , SECA , IPVCS , decision-making , site selection , Charging
[1] R. Dang, X. Li, C. Li, and C. Xu, “A MCDM framework for site selection of island photovoltaic charging station based on new criteria identification and a hybrid fuzzy approach,” Sustainable Cities and Society, vol. 74, p. 103230, 2021.
[2] C. Yongdao, “Current status and development trend of ship power system [J],” Machinery Manufacturing and Automation, vol. 42, no. 02, pp. 164–166, 2013.
[3] N. M. Silvério, R. M. Barros, G. L. Tiago Filho, M. Redón-Santafé, I. F. S. dos Santos, and V. E. de Mello Valerio, “Use of floating PV plants for coordinated operation with hydropower plants: Case study of the hydroelectric plants of the São Francisco River basin,” Energy Conversion and Management, vol. 171, pp. 339–349, 2018.
[4] H. Khaloie et al., “Coordinated wind-thermal-energy storage offering strategy in energy and spinning reserve markets using a multi-stage model,” Applied Energy, vol. 259, p. 114168, 2020.
[5] H. Khaloie, A. Abdollahi, M. Rashidinejad, and P. Siano, “Risk-based probabilistic-possibilistic self-scheduling considering high-impact low-probability events uncertainty,” International Journal of Electrical Power & Energy Systems, vol. 110, pp. 598–612, 2019.
[6] H. Khaloie, A. Anvari-Moghaddam, N. Hatziargyriou, and J. Contreras, “Risk-constrained self-scheduling of a hybrid power plant considering interval-based intraday demand response exchange market prices,” Journal of Cleaner Production, vol. 282, p. 125344, 2021.
[7] K. Trapani and D. L. Millar, “Proposing offshore photovoltaic (PV) technology to the energy mix of the Maltese islands,” Energy Conversion and Management, vol. 67, pp. 18–26, 2013.
[8] K. Trapani, D. L. Millar, and H. C. M. Smith, “Novel offshore application of photovoltaics in comparison to conventional marine renewable energy technologies,” Renewable energy, vol. 50, pp. 879–888, 2013.
[9] Y. Wu, L. Li, Z. Song, and X. Lin, “Risk assessment on offshore photovoltaic power generation projects in China based on a fuzzy analysis framework,” Journal of Cleaner Production, vol. 215, pp. 46–62, 2019.
[10] M. Dörenkämper, A. Wahed, A. Kumar, M. de Jong, J. Kroon, and T. Reindl, “The cooling effect of floating PV in two different climate zones: A comparison of field test data from the Netherlands and Singapore,” Solar Energy, vol. 219, pp. 15–23, 2021.
[11] G. Singh, P. Baredar, A. Singh, and D. Kurup, “Optimal sizing and location of PV, wind and battery storage for electrification to an island: A case study of Kavaratti, Lakshadweep,” Journal of Energy Storage, vol. 12, pp. 78–86, 2017.
[12] A. Aljanad, A. Mohamed, H. Shareef, and T. Khatib, “A novel method for optimal placement of vehicle-to-grid charging stations in distribution power system using a quantum binary lightning search algorithm,” Sustainable Cities and Society, vol. 38, pp. 174–183, 2018.
[13] L. Gong, W. Cao, K. Liu, and J. Zhao, “Optimal charging strategy for electric vehicles in residential charging station under dynamic spike pricing policy,” Sustainable Cities and Society, vol. 63, p. 102474, 2020.
[14] C. Zhang and P. Chen, “Economic benefit analysis of battery charging and swapping station for pure electric bus based on differential power purchase policy: a new power trading model,” Sustainable Cities and Society, vol. 64, p. 102570, 2021.
[15] S. Ozdemir and G. Sahin, “Multi-criteria decision-making in the location selection for a solar PV power plant using AHP,” Measurement, vol. 129, pp. 218–226, 2018.
[16] G. F. Nemet, “Beyond the learning curve: factors influencing cost reductions in photovoltaics,” Energy policy, vol. 34, no. 17, pp. 3218–3232, 2006.
[17] M. A. Jenifer and M. K. Jha, “Comparison of analytic hierarchy process, catastrophe and entropy techniques for evaluating groundwater prospect of hard-rock aquifer systems,” Journal of Hydrology, vol. 548, pp. 605–624, 2017.
[18] X. Chuansheng, D. Dapeng, H. Shengping, X. Xin, and C. Yingjie, “Safety evaluation of smart grid based on AHP-entropy method,” Systems Engineering Procedia, vol. 4, pp. 203–209, 2012.
[19] Y. Wu et al., “Location selection of seawater pumped hydro storage station in China based on multi-attribute decision making,” Renewable energy, vol. 139, pp. 410–425, 2019.
[20] F. Ma, J. He, J. Ma, and S. Xia, “Evaluation of urban green transportation planning based on central point triangle whiten weight function and entropy-AHP,” Transportation Research Procedia, vol. 25, pp. 3634–3644, 2017.
[21] M. Uyan, “GIS-based solar farms site selection using analytic hierarchy process (AHP) in Karapinar region, Konya/Turkey,” Renewable and Sustainable Energy Reviews, vol. 28, pp. 11–17, 2013.
[22] S. C. Rana and J. N. Patel, “Selection of best location for small hydro power project using AHP, WPM and TOPSIS methods,” ISH Journal of Hydraulic Engineering, vol. 26, no. 2, pp. 173–178, 2020.
[23] D. Jun, F. Tian-Tian, Y. Yi-Sheng, and M. Yu, “Macro-site selection of wind/solar hybrid power station based on ELECTRE-II,” Renewable and Sustainable Energy Reviews, vol. 35, pp. 194–204, 2014.
[24] W. Yun-na, Y. Yi-sheng, F. Tian-tian, K. Li-na, L. Wei, and F. Luo-jie, “Macro-site selection of wind/solar hybrid power station based on Ideal Matter-Element Model,” International Journal of Electrical Power & Energy Systems, vol. 50, pp. 76–84, 2013.
[25] Y. Wu, B. Zhang, C. Xu, and L. Li, “Site selection decision framework using fuzzy ANP-VIKOR for large commercial rooftop PV system based on sustainability perspective,” Sustainable cities and society, vol. 40, pp. 454–470, 2018.
[26] A. Stamatakis, M. Mandalaki, and T. Tsoutsos, “Multi-criteria analysis for PV integrated in shading devices for Mediterranean region,” Energy and Buildings, vol. 117, pp. 128–137, 2016.
[27] Y. Wu et al., “Optimal location selection for offshore wind-PV-seawater pumped storage power plant using a hybrid MCDM approach: a two-stage framework,” Energy Conversion and Management, vol. 199, p. 112066, 2019.
[28] S. Opricovic and G.-H. Tzeng, “Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS,” European journal of operational research, vol. 156, no. 2, pp. 445–455, 2004.
[29] M. Keshavarz-Ghorabaee, M. Amiri, E. K. Zavadskas, Z. Turskis, and J. Antucheviciene, “Simultaneous evaluation of criteria and alternatives (SECA) for multi-criteria decision-making,” Informatica, vol. 29, no. 2, pp. 265–280, 2018.