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Method multi-criteria decision-making method for site selection analysis and evaluation of urban integrated energy stations based on geographic information system

Author

Listed:
  • Wang, Yongli
  • Tao, Siyi
  • Chen, Xin
  • Huang, Feifei
  • Xu, Xiaomin
  • Liu, Xiaoli
  • Liu, Yang
  • Liu, Lin

Abstract

As an important carrier of multi-energy coupling of regional integrated energy system, the integrated energy station integrates a variety of energy coupling devices, which can fulfill interconnection and complementarity of energy between regions and enhance the economic and environmental benefits of energy use. In the planning of integrated energy stations, it is necessary to consider the characteristics of regional resource endowments and load energy consumption. In this paper geographic information system (GIS) is introduced into the site selection planning of integrated energy stations, and a location decision model is built based on GIS & improved TOPSIS. In order to verify this for the feasibility of the model, Tianjin, China is selected as a representative case for empirical research. First, according to Chinese national standards and local planning requirements, GIS is adopted to initially screen the distribution and area of exclusion areas and viable areas for construction in the study area. Secondly, a comprehensive evaluation index system is established for nature, economy and society, in which the AHP method is used for calculate the weight of each index to obtain the final optimal alternative with the integration of the GIS geographic layer overlay function. Finally, the improved TOPSIS model is used to rank the alternatives and obtain the ranking results. Sensitivity analysis and comparative analysis is conducted on the ranking results, indicating a higher priority of selecting sites A1, A4, A5 and A11. Analysis result effectively verifies that the improved TOPSIS method can improve the accuracy of the site selection decision for integrated energy stations. This paper can provide support for the site selection and layout of integrated energy stations, effectively improve the decision-making level and work efficiency of decision-makers, and enrich the application space of GIS methods in the energy field.

Suggested Citation

  • Wang, Yongli & Tao, Siyi & Chen, Xin & Huang, Feifei & Xu, Xiaomin & Liu, Xiaoli & Liu, Yang & Liu, Lin, 2022. "Method multi-criteria decision-making method for site selection analysis and evaluation of urban integrated energy stations based on geographic information system," Renewable Energy, Elsevier, vol. 194(C), pages 273-292.
    • Handle: RePEc:eee:renene:v:194:y:2022:i:c:p:273-292
    DOI: 10.1016/j.renene.2022.05.087
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    as
    1. Gherboudj, Imen & Ghedira, Hosni, 2016. "Assessment of solar energy potential over the United Arab Emirates using remote sensing and weather forecast data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1210-1224.
    2. Janke, Jason R., 2010. "Multicriteria GIS modeling of wind and solar farms in Colorado," Renewable Energy, Elsevier, vol. 35(10), pages 2228-2234.
    3. Meryem Tahri & Mustapha Hakdaoui & Mohamed Maanan, 2015. "The evaluation of solar farm locations applying Geographic Information System and Multi-Criteria Decision-Making methods: Case study in southern Morocco," Post-Print hal-01185533, HAL.
    4. Chen, Hsing Hung & Kang, He-Yau & Lee, Amy H.I., 2010. "Strategic selection of suitable projects for hybrid solar-wind power generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 413-421, January.
    5. Singh Doorga, Jay Rovisham & Rughooputh, Soonil D.D.V. & Boojhawon, Ravindra, 2019. "High resolution spatio-temporal modelling of solar photovoltaic potential for tropical islands: Case of Mauritius," Energy, Elsevier, vol. 169(C), pages 972-987.
    6. Amjad, Fahd & Shah, Liaqat Ali, 2020. "Identification and assessment of sites for solar farms development using GIS and density based clustering technique- A case of Pakistan," Renewable Energy, Elsevier, vol. 155(C), pages 761-769.
    7. Anwarzai, Mohammad Abed & Nagasaka, Ken, 2017. "Utility-scale implementable potential of wind and solar energies for Afghanistan using GIS multi-criteria decision analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 150-160.
    8. Tahri, Meryem & Hakdaoui, Mustapha & Maanan, Mohamed, 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, Elsevier, vol. 51(C), pages 1354-1362.
    9. Latinopoulos, D. & Kechagia, K., 2015. "A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece," Renewable Energy, Elsevier, vol. 78(C), pages 550-560.
    10. Perpiña Castillo, Carolina & Batista e Silva, Filipe & Lavalle, Carlo, 2016. "An assessment of the regional potential for solar power generation in EU-28," Energy Policy, Elsevier, vol. 88(C), pages 86-99.
    11. Saraswat, S.K. & Digalwar, Abhijeet K. & Yadav, S.S. & Kumar, Gaurav, 2021. "MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India," Renewable Energy, Elsevier, vol. 169(C), pages 865-884.
    12. Höfer, Tim & Sunak, Yasin & Siddique, Hafiz & Madlener, Reinhard, 2016. "Wind farm siting using a spatial Analytic Hierarchy Process approach: A case study of the Städteregion Aachen," Applied Energy, Elsevier, vol. 163(C), pages 222-243.
    13. Alami Merrouni, Ahmed & Elwali Elalaoui, Fakhreddine & Mezrhab, Ahmed & Mezrhab, Abdelhamid & Ghennioui, Abdellatif, 2018. "Large scale PV sites selection by combining GIS and Analytical Hierarchy Process. Case study: Eastern Morocco," Renewable Energy, Elsevier, vol. 119(C), pages 863-873.
    14. Zhou, Jianli & Wu, Yunna & Tao, Yao & Gao, Jianwei & Zhong, Zhiming & Xu, Chuanbo, 2021. "Geographic information big data-driven two-stage optimization model for location decision of hydrogen refueling stations: An empirical study in China," Energy, Elsevier, vol. 225(C).
    15. Azizkhani, Mostafa & Vakili, Abdullah & Noorollahi, Younes & Naseri, Farzin, 2017. "Potential survey of photovoltaic power plants using Analytical Hierarchy Process (AHP) method in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1198-1206.
    16. Nzotcha, Urbain & Kenfack, Joseph & Blanche Manjia, Marceline, 2019. "Integrated multi-criteria decision making methodology for pumped hydro-energy storage plant site selection from a sustainable development perspective with an application," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 930-947.
    17. Uyan, Mevlut, 2013. "GIS-based solar farms site selection using analytic hierarchy process (AHP) in Karapinar region, Konya/Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 11-17.
    18. Dimitra G. Vagiona & Manos Kamilakis, 2018. "Sustainable Site Selection for Offshore Wind Farms in the South Aegean—Greece," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    19. Ayodele, T.R. & Ogunjuyigbe, A.S.O. & Odigie, O. & Munda, J.L., 2018. "A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria," Applied Energy, Elsevier, vol. 228(C), pages 1853-1869.
    20. Lee, Amy H.I. & Chen, Hsing Hung & Kang, He-Yau, 2009. "Multi-criteria decision making on strategic selection of wind farms," Renewable Energy, Elsevier, vol. 34(1), pages 120-126.
    21. Obane, Hideaki & Nagai, Yu & Asano, Kenji, 2020. "Assessing land use and potential conflict in solar and onshore wind energy in Japan," Renewable Energy, Elsevier, vol. 160(C), pages 842-851.
    22. Giamalaki, Marina & Tsoutsos, Theocharis, 2019. "Sustainable siting of solar power installations in Mediterranean using a GIS/AHP approach," Renewable Energy, Elsevier, vol. 141(C), pages 64-75.
    23. Vasileiou, Margarita & Loukogeorgaki, Eva & Vagiona, Dimitra G., 2017. "GIS-based multi-criteria decision analysis for site selection of hybrid offshore wind and wave energy systems in Greece," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 745-757.
    24. Simsek, Yeliz & Watts, David & Escobar, Rodrigo, 2018. "Sustainability evaluation of Concentrated Solar Power (CSP) projects under Clean Development Mechanism (CDM) by using Multi Criteria Decision Method (MCDM)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 421-438.
    25. Mahdy, Mostafa & Bahaj, AbuBakr S., 2018. "Multi criteria decision analysis for offshore wind energy potential in Egypt," Renewable Energy, Elsevier, vol. 118(C), pages 278-289.
    26. Aly, Ahmed & Jensen, Steen Solvang & Pedersen, Anders Branth, 2017. "Solar power potential of Tanzania: Identifying CSP and PV hot spots through a GIS multicriteria decision making analysis," Renewable Energy, Elsevier, vol. 113(C), pages 159-175.
    27. Indre Siksnelyte-Butkiene & Edmundas Kazimieras Zavadskas & Dalia Streimikiene, 2020. "Multi-Criteria Decision-Making (MCDM) for the Assessment of Renewable Energy Technologies in a Household: A Review," Energies, MDPI, vol. 13(5), pages 1-22, March.
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