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A web-based participatory GIS (PGIS) for offshore wind farm suitability within Lake Erie, Ohio

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  • Mekonnen, Addisu D.
  • Gorsevski, Pece V.

Abstract

This study presents the design and implementation of a web-based Participatory Geographic Information System (PGIS) framework intended for offshore wind suitability analysis. The PGIS prototype presented here integrates GIS and decision-making tools that are intended to involve different stakeholders and the public for solving complex planning problems and building consensus. Public involvement from the early planning stage of projects with a spatial nature is very important for future legitimacy and acceptance of these projects. Therefore, developing and executing a system that facilitates effective public involvement for resolving contentious issues can help in fostering long-lasting agreements. The prototype here is a distributed and asynchronous PGIS that combines a discussion forum, a mapping tool and a decision tool. The potential strengths and benefits of this PGIS are demonstrated in a hypothetical case study in Lake Erie, northern Ohio. In the hypothetical case study, participants evaluate the importance of three decision alternatives using different evaluation criteria for expressing their individual preferences. The individual preferences are aggregated by Borda Count (BC) method for generating the group solution, which is used for synthesizing the different evaluation aspects such as the importance of criteria, ranking of the decision alternatives and planning issues related to environmental and socio-economic concerns from the participants.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:rensus:v:41:y:2015:i:c:p:162-177
    DOI: 10.1016/j.rser.2014.08.030
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    1. Haggett, Claire, 2011. "Understanding public responses to offshore wind power," Energy Policy, Elsevier, vol. 39(2), pages 503-510, February.
    2. Mirhosseini, M. & Sharifi, F. & Sedaghat, A., 2011. "Assessing the wind energy potential locations in province of Semnan in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 449-459, January.
    3. Janke, Jason R., 2010. "Multicriteria GIS modeling of wind and solar farms in Colorado," Renewable Energy, Elsevier, vol. 35(10), pages 2228-2234.
    4. Bishop, Ian D. & Stock, Christian, 2010. "Using collaborative virtual environments to plan wind energy installations," Renewable Energy, Elsevier, vol. 35(10), pages 2348-2355.
    5. David Rios Insua & Gregory E. Kersten & Jesus Rios & Carlos Grima, 2008. "Towards Decision Support for Participatory Democracy," International Handbooks on Information Systems, in: Handbook on Decision Support Systems 2, chapter 66, pages 651-685, Springer.
    6. Molina-Ruiz, José & Martínez-Sánchez, María José & Pérez-Sirvent, Carmen & Tudela-Serrano, Mari Luz & García Lorenzo, Mari Luz, 2011. "Developing and applying a GIS-assisted approach to evaluate visual impact in wind farms," Renewable Energy, Elsevier, vol. 36(3), pages 1125-1132.
    7. Möller, Bernd, 2011. "Continuous spatial modelling to analyse planning and economic consequences of offshore wind energy," Energy Policy, Elsevier, vol. 39(2), pages 511-517, February.
    8. Punt, Maarten J. & Groeneveld, Rolf A. & van Ierland, Ekko C. & Stel, Jan H., 2009. "Spatial planning of offshore wind farms: A windfall to marine environmental protection?," Ecological Economics, Elsevier, vol. 69(1), pages 93-103, November.
    9. 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.
    10. Snyder, Brian & Kaiser, Mark J., 2009. "A comparison of offshore wind power development in europe and the U.S.: Patterns and drivers of development," Applied Energy, Elsevier, vol. 86(10), pages 1845-1856, October.
    11. Dutra, Ricardo & Szklo, Alexandre, 2008. "Assessing long-term incentive programs for implementing wind power in Brazil using GIS rule-based methods," Renewable Energy, Elsevier, vol. 33(12), pages 2507-2515.
    12. Yue, Cheng-Dar & Yang, Min-How, 2009. "Exploring the potential of wind energy for a coastal state," Energy Policy, Elsevier, vol. 37(10), pages 3925-3940, October.
    13. Grassi, Stefano & Chokani, Ndaona & Abhari, Reza S., 2012. "Large scale technical and economical assessment of wind energy potential with a GIS tool: Case study Iowa," Energy Policy, Elsevier, vol. 45(C), pages 73-85.
    14. Byrne, John & Zhou, Aiming & Shen, Bo & Hughes, Kristen, 2007. "Evaluating the potential of small-scale renewable energy options to meet rural livelihoods needs: A GIS- and lifecycle cost-based assessment of Western China's options," Energy Policy, Elsevier, vol. 35(8), pages 4391-4401, August.
    15. Landry, Craig E. & Allen, Tom & Cherry, Todd & Whitehead, John C., 2012. "Wind turbines and coastal recreation demand," Resource and Energy Economics, Elsevier, vol. 34(1), pages 93-111.
    16. 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.
    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. 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.
    19. Dvorak, Michael J. & Archer, Cristina L. & Jacobson, Mark Z., 2010. "California offshore wind energy potential," Renewable Energy, Elsevier, vol. 35(6), pages 1244-1254.
    20. Saidur, R. & Rahim, N.A. & Islam, M.R. & Solangi, K.H., 2011. "Environmental impact of wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(5), pages 2423-2430, June.
    21. O’Keeffe, Aoife & Haggett, Claire, 2012. "An investigation into the potential barriers facing the development of offshore wind energy in Scotland: Case study – Firth of Forth offshore wind farm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3711-3721.
    22. 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.
    23. Hurtado, Juan Pablo & Fernández, Joaquín & Parrondo, Jorge L. & Blanco, Eduardo, 2004. "Spanish method of visual impact evaluation in wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(5), pages 483-491, October.
    24. Thomas C. Ratliff, 2002. "A comparison of Dodgson's method and the Borda count," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 20(2), pages 357-372.
    25. 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.
    26. Omitaomu, Olufemi A. & Blevins, Brandon R. & Jochem, Warren C. & Mays, Gary T. & Belles, Randy & Hadley, Stanton W. & Harrison, Thomas J. & Bhaduri, Budhendra L. & Neish, Bradley S. & Rose, Amy N., 2012. "Adapting a GIS-based multicriteria decision analysis approach for evaluating new power generating sites," Applied Energy, Elsevier, vol. 96(C), pages 292-301.
    27. Schillings, Christoph & Wanderer, Thomas & Cameron, Lachlan & van der Wal, Jan Tjalling & Jacquemin, Jerome & Veum, Karina, 2012. "A decision support system for assessing offshore wind energy potential in the North Sea," Energy Policy, Elsevier, vol. 49(C), pages 541-551.
    28. Esteban, M. Dolores & Diez, J. Javier & López, Jose S. & Negro, Vicente, 2011. "Why offshore wind energy?," Renewable Energy, Elsevier, vol. 36(2), pages 444-450.
    29. Adelaja, Adesoji & McKeown, Charles & Calnin, Benjamin & Hailu, Yohannes, 2012. "Assessing offshore wind potential," Energy Policy, Elsevier, vol. 42(C), pages 191-200.
    30. Giuseppe Munda, 2008. "Social Multi-Criteria Evaluation for a Sustainable Economy," Springer Books, Springer, number 978-3-540-73703-2, January.
    31. Gorsevski, Pece V. & Cathcart, Steven C. & Mirzaei, Golrokh & Jamali, Mohsin M. & Ye, Xinyue & Gomezdelcampo, Enrique, 2013. "A group-based spatial decision support system for wind farm site selection in Northwest Ohio," Energy Policy, Elsevier, vol. 55(C), pages 374-385.
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