IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v14y2010i1p364-373.html
   My bibliography  Save this article

GIS-based environmental assessment of wind energy systems for spatial planning: A case study from Western Turkey

Author

Listed:
  • Aydin, Nazli Yonca
  • Kentel, Elcin
  • Duzgun, Sebnem

Abstract

Increasing population and life standards causes fossil fuel consumption to increase. Due to this increasing consumption, fossil fuels are being depleted rapidly. In addition to rapid exhaustion, another important problem associated with fossil fuels is that their consumption has major negative impacts on the environment. Therefore, many countries around the world have included renewable energy systems (RES) in their future energy plans so that they can produce reliable and environmentally friendly energy. Parallel to this trend, various RES have been identified and recently integrated into the current energy network of Turkey as well. However, it should be recognized that renewable energy resources are not fully environmentally safe. Different RES are associated with different environmental impacts. In planning the future energy development of a country, evaluation of renewable energy resources potentials together with their associated environmental impacts is critical. The aim of this study is to create a decision support system for site selection of wind turbines using Geographic Information System (GIS) tools. Wind energy potential and environmental fitness/acceptability are used as decision criteria for the site selection process. Potential environmental impacts of wind generation are identified in accordance with Turkish legislations and previous studies; and represented as fuzzy objectives of the decision problem. Wind potential map of Turkey generated by General Directorate of Electrical Power Resources Survey and Development is used to identify economically feasible locations in terms of wind energy generation. A study area composed of Usak, Aydin, Denizli, Mugla, and Burdur provinces in Turkey is selected and divided into 250 m x 250 m grids. Each grid represents an alternative location for a wind turbine or group of wind turbines. Fuzzy environmental objectives such as "Acceptable in terms of noise level", "Acceptable in terms of bird habitat", "Acceptable in terms of safety and aesthetics" and "Safe in terms of natural reserves" associated with wind turbines are identified based on previous research and each of these objectives are represented by a fuzzy set. Individual satisfaction degree of each of these environmental objectives for each grid is calculated. Then these individual satisfactions are aggregated into an overall satisfaction degree using various aggregator operators such as "and", "or", and "order weighted averaging." Thus, an overall satisfaction degree of all the environmental objectives is obtained for each grid in the study area. A map of environmental fitness is developed in GIS environment by using these overall satisfaction degrees. Then this map is utilized together with the wind potential map of Turkey to identify both potentially and environmentally feasible wind turbine locations within the study area.

Suggested Citation

  • Aydin, Nazli Yonca & Kentel, Elcin & Duzgun, Sebnem, 2010. "GIS-based environmental assessment of wind energy systems for spatial planning: A case study from Western Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 364-373, January.
  • Handle: RePEc:eee:rensus:v:14:y:2010:i:1:p:364-373
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364-0321(09)00161-0
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ackermann, Thomas & Söder, Lennart, 2000. "Wind energy technology and current status: a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 4(4), pages 315-374, December.
    2. Clarke, Alexi, 1991. "Wind energy progress and potential," Energy Policy, Elsevier, vol. 19(8), pages 742-755, October.
    3. Ramírez-Rosado, Ignacio J. & García-Garrido, Eduardo & Fernández-Jiménez, L. Alfredo & Zorzano-Santamaría, Pedro J. & Monteiro, Cláudio & Miranda, Vladimiro, 2008. "Promotion of new wind farms based on a decision support system," Renewable Energy, Elsevier, vol. 33(4), pages 558-566.
    4. Baban, Serwan M.J & Parry, Tim, 2001. "Developing and applying a GIS-assisted approach to locating wind farms in the UK," Renewable Energy, Elsevier, vol. 24(1), pages 59-71.
    5. Omer, Abdeen Mustafa, 2008. "Green energies and the environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(7), pages 1789-1821, September.
    6. Tsoutsos, Theocharis & Frantzeskaki, Niki & Gekas, Vassilis, 2005. "Environmental impacts from the solar energy technologies," Energy Policy, Elsevier, vol. 33(3), pages 289-296, February.
    7. Nguyen, Khanh Q., 2007. "Wind energy in Vietnam: Resource assessment, development status and future implications," Energy Policy, Elsevier, vol. 35(2), pages 1405-1413, February.
    8. Voivontas, D. & Assimacopoulos, D. & Mourelatos, A. & Corominas, J., 1998. "Evaluation of Renewable Energy potential using a GIS decision support system," Renewable Energy, Elsevier, vol. 13(3), pages 333-344.
    9. Yue, Cheng-Dar & Wang, Shi-Sian, 2006. "GIS-based evaluation of multifarious local renewable energy sources: a case study of the Chigu area of southwestern Taiwan," Energy Policy, Elsevier, vol. 34(6), pages 730-742, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Schallenberg-Rodríguez, Julieta & Notario-del Pino, Jesús, 2014. "Evaluation of on-shore wind techno-economical potential in regions and islands," Applied Energy, Elsevier, vol. 124(C), pages 117-129.
    2. 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.
    3. 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.
    4. Pilar Díaz-Cuevas, 2018. "GIS-Based Methodology for Evaluating the Wind-Energy Potential of Territories: A Case Study from Andalusia (Spain)," Energies, MDPI, vol. 11(10), pages 1-16, October.
    5. Mekonnen, Addisu D. & Gorsevski, Pece V., 2015. "A web-based participatory GIS (PGIS) for offshore wind farm suitability within Lake Erie, Ohio," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 162-177.
    6. Janke, Jason R., 2010. "Multicriteria GIS modeling of wind and solar farms in Colorado," Renewable Energy, Elsevier, vol. 35(10), pages 2228-2234.
    7. Villacreses, Geovanna & Gaona, Gabriel & Martínez-Gómez, Javier & Jijón, Diego Juan, 2017. "Wind farms suitability location using geographical information system (GIS), based on multi-criteria decision making (MCDM) methods: The case of continental Ecuador," Renewable Energy, Elsevier, vol. 109(C), pages 275-286.
    8. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    9. Frank Hanssen & Roel May & Jiska van Dijk & Jan Ketil Rød, 2018. "Spatial Multi-Criteria Decision Analysis Tool Suite for Consensus-Based Siting of Renewable Energy Structures," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 1-28, September.
    10. Baseer, M.A. & Rehman, S. & Meyer, J.P. & Alam, Md. Mahbub, 2017. "GIS-based site suitability analysis for wind farm development in Saudi Arabia," Energy, Elsevier, vol. 141(C), pages 1166-1176.
    11. Harper, Michael & Anderson, Ben & James, Patrick A.B. & Bahaj, AbuBakr S., 2019. "Onshore wind and the likelihood of planning acceptance: Learning from a Great Britain context," Energy Policy, Elsevier, vol. 128(C), pages 954-966.
    12. Qianna Wang & Martin Mwirigi M'Ikiugu & Isami Kinoshita, 2014. "A GIS-Based Approach in Support of Spatial Planning for Renewable Energy: A Case Study of Fukushima, Japan," Sustainability, MDPI, vol. 6(4), pages 1-31, April.
    13. Izadyar, Nima & Ong, Hwai Chyuan & Chong, W.T. & Leong, K.Y., 2016. "Resource assessment of the renewable energy potential for a remote area: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 908-923.
    14. Schallenberg-Rodríguez, Julieta & García Montesdeoca, Nuria, 2018. "Spatial planning to estimate the offshore wind energy potential in coastal regions and islands. Practical case: The Canary Islands," Energy, Elsevier, vol. 143(C), pages 91-103.
    15. McWilliam, M.K. & van Kooten, G.C. & Crawford, C., 2012. "A method for optimizing the location of wind farms," Renewable Energy, Elsevier, vol. 48(C), pages 287-299.
    16. Kumbuso Joshua Nyoni & Anesu Maronga & Paul Gerard Tuohy & Agabu Shane, 2021. "Hydro–Connected Floating PV Renewable Energy System and Onshore Wind Potential in Zambia," Energies, MDPI, vol. 14(17), pages 1-42, August.
    17. Mari, Riccardo & Bottai, Lorenzo & Busillo, Caterina & Calastrini, Francesca & Gozzini, Bernardo & Gualtieri, Giovanni, 2011. "A GIS-based interactive web decision support system for planning wind farms in Tuscany (Italy)," Renewable Energy, Elsevier, vol. 36(2), pages 754-763.
    18. Sajid Ali & Sang-Moon Lee & Choon-Man Jang, 2017. "Determination of the Most Optimal On-Shore Wind Farm Site Location Using a GIS-MCDM Methodology: Evaluating the Case of South Korea," Energies, MDPI, vol. 10(12), pages 1-22, December.
    19. James Griffiths & William Dushenko, 2011. "Effectiveness of GIS suitability mapping in predicting ecological impacts of proposed wind farm development on Aristazabal Island, BC," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 13(6), pages 957-991, December.
    20. Ramírez-Rosado, Ignacio J. & García-Garrido, Eduardo & Fernández-Jiménez, L. Alfredo & Zorzano-Santamaría, Pedro J. & Monteiro, Cláudio & Miranda, Vladimiro, 2008. "Promotion of new wind farms based on a decision support system," Renewable Energy, Elsevier, vol. 33(4), pages 558-566.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:14:y:2010:i:1:p:364-373. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.