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GIS based multi-criteria assessment of tidal stream power potential: A case study for Georgia, USA

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  • Defne, Zafer
  • Haas, Kevin A.
  • Fritz, Hermann M.

Abstract

A multi-criteria assessment methodology that accounts for the physical, environmental and socioeconomic constraints is proposed to assist in the selection of the most suitable locations for tidal stream power conversion projects. For this purpose, the tidal stream power resource data are incorporated into a Geographical Information System (GIS) database together with datasets that are related to different aspects of the site selection methodology. The proposed method is applied to the Georgia coast to find and rank the best locations for power conversion. The suitable areas are narrowed down to a subset of the high power density areas that satisfy the constraints of a tidal stream power conversion scheme. A demonstrative ranking procedure with equal weighting factors for all criteria shows that the Savannah, Ogeeche, Canoochee and Medway Rivers and the Cumberland Sound have the best locations for tidal power conversion on the coast of Georgia. This methodology is also applicable to other sites where sufficient geospatial data are available.

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  • Defne, Zafer & Haas, Kevin A. & Fritz, Hermann M., 2011. "GIS based multi-criteria assessment of tidal stream power potential: A case study for Georgia, USA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(5), pages 2310-2321, June.
  • Handle: RePEc:eee:rensus:v:15:y:2011:i:5:p:2310-2321
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    1. Defne, Zafer & Haas, Kevin A. & Fritz, Hermann M., 2011. "Numerical modeling of tidal currents and the effects of power extraction on estuarine hydrodynamics along the Georgia coast, USA," Renewable Energy, Elsevier, vol. 36(12), pages 3461-3471.
    2. Sánchez-Lozano, Juan M. & Teruel-Solano, Jerónimo & Soto-Elvira, Pedro L. & Socorro García-Cascales, M., 2013. "Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: Case study in south-eastern Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 544-556.
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    4. Shao, Meng & Zhao, Yuanxu & Sun, Jinwei & Han, Zhixin & Shao, Zhuxiao, 2023. "A decision framework for tidal current power plant site selection based on GIS-MCDM: A case study in China," Energy, Elsevier, vol. 262(PB).
    5. Sangiuliano, Stephen Joseph, 2017. "Turning of the tides: Assessing the international implementation of tidal current turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 971-989.
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    7. Emilia Lalander & Paul Thomassen & Mats Leijon, 2013. "Evaluation of a Model for Predicting the Tidal Velocity in Fjord Entrances," Energies, MDPI, vol. 6(4), pages 1-21, April.
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    9. Natarajan, Karthikeyan & Latva-Käyrä, Petri & Zyadin, Anas & Pelkonen, Paavo, 2016. "New methodological approach for biomass resource assessment in India using GIS application and land use/land cover (LULC) maps," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 256-268.
    10. Calvert, K. & Pearce, J.M. & Mabee, W.E., 2013. "Toward renewable energy geo-information infrastructures: Applications of GIScience and remote sensing that build institutional capacity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 416-429.
    11. Abaei, Mohammad Mahdi & Arzaghi, Ehsan & Abbassi, Rouzbeh & Garaniya, Vikram & Penesis, Irene, 2017. "Developing a novel risk-based methodology for multi-criteria decision making in marine renewable energy applications," Renewable Energy, Elsevier, vol. 102(PB), pages 341-348.
    12. Shafiullah, Md & Rahman, Syed Masiur & Mortoja, Md. Golam & Al-Ramadan, Baqer, 2016. "Role of spatial analysis technology in power system industry: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 584-595.
    13. Tang, H.S. & Kraatz, S. & Qu, K. & Chen, G.Q. & Aboobaker, N. & Jiang, C.B., 2014. "High-resolution survey of tidal energy towards power generation and influence of sea-level-rise: A case study at coast of New Jersey, USA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 960-982.
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    15. Richardson, Riley Lindsay & Buckham, Bradley & McWhinnie, Lauren Helen, 2022. "Mapping a blue energy future for British Columbia: Creating a holistic framework for tidal stream energy development in remote coastal communities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    16. Defne, Zafer & Haas, Kevin A. & Fritz, Hermann M. & Jiang, Lide & French, Steven P. & Shi, Xuan & Smith, Brennan T. & Neary, Vincent S. & Stewart, Kevin M., 2012. "National geodatabase of tidal stream power resource in USA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3326-3338.
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    18. Hasan Eroğlu, 2021. "Multi-criteria decision analysis for wind power plant location selection based on fuzzy AHP and geographic information systems," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18278-18310, December.
    19. Artal, Osvaldo & Pizarro, Oscar & Sepúlveda, Héctor H., 2019. "The impact of spring-neap tidal-stream cycles in tidal energy assessments in the Chilean Inland Sea," Renewable Energy, Elsevier, vol. 139(C), pages 496-506.
    20. Theodoridou, Ifigeneia & Karteris, Marinos & Mallinis, Georgios & Papadopoulos, Agis M. & Hegger, Manfred, 2012. "Assessment of retrofitting measures and solar systems' potential in urban areas using Geographical Information Systems: Application to a Mediterranean city," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 6239-6261.
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    23. Novosel, T. & Pukšec, T. & Duić, N. & Domac, J., 2020. "Heat demand mapping and district heating assessment in data-pour areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    24. Nicolas Guillou & Georges Chapalain, 2017. "Tidal Turbines’ Layout in a Stream with Asymmetry and Misalignment," Energies, MDPI, vol. 10(11), pages 1-14, November.

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