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A GIS-based interactive web decision support system for planning wind farms in Tuscany (Italy)


  • Mari, Riccardo
  • Bottai, Lorenzo
  • Busillo, Caterina
  • Calastrini, Francesca
  • Gozzini, Bernardo
  • Gualtieri, Giovanni


In the framework of regional renewable energy policies, starting from 2008 the Tuscany Regional Authority promoted the “WIND-GIS” project aimed at assessing the large-scale wind potential of Tuscany region, Italy. This goal was achieved by developing an integrated Geographic Information System (GIS) based decision support system (DSS), compliant with Directive 2007/2/EC of European Commission (EC), which was designed to help public operators in the preliminary location of sites eligible for wind harness. To make the system an actually operative tool, it was conceived as a web-oriented interactive system that the public operators may freely access. The DSS was developed by using the MapServer open-source web-GIS application. Furthermore, the “p.mapper” front-end application developed in JavaScript and PHP/Mapscript was used, which enables a user-friendly interface to MapServer to be performed.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:36:y:2011:i:2:p:754-763
    DOI: 10.1016/j.renene.2010.07.005

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    References listed on IDEAS

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    Cited by:

    1. Morano, Pierluigi & Tajani, Francesco & Locurcio, Marco, 2017. "GIS application and econometric analysis for the verification of the financial feasibility of roof-top wind turbines in the city of Bari (Italy)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 999-1010.
    2. 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.
    3. Tayyebi, Amin & Arsanjani, Jamal J. & Tayyebi, Amir H. & Omrani, Hichem & Moghadam, Hossein S., 2016. "Group-based crop change planning: Application of SmartScape™ spatial decision support system for resolving conflicts," Ecological Modelling, Elsevier, vol. 333(C), pages 92-100.
    4. repec:eee:ecomod:v:295:y:2015:i:c:p:163-175 is not listed on IDEAS
    5. repec:eee:appene:v:216:y:2018:i:c:p:709-723 is not listed on IDEAS
    6. Abeer Pervaiz & Christian Lechner, 2019. "Understanding the emergence of an industry through the lens of Social Movements and Entrepreneurial Communities," BEMPS - Bozen Economics & Management Paper Series BEMPS58, Faculty of Economics and Management at the Free University of Bozen.
    7. Yeo, In-Ae & Yee, Jurng-Jae, 2014. "A proposal for a site location planning model of environmentally friendly urban energy supply plants using an environment and energy geographical information system (E-GIS) database (DB) and an artifi," Applied Energy, Elsevier, vol. 119(C), pages 99-117.
    8. Morales, Luis & Lang, Francisco & Mattar, Cristian, 2012. "Mesoscale wind speed simulation using CALMET model and reanalysis information: An application to wind potential," Renewable Energy, Elsevier, vol. 48(C), pages 57-71.
    9. 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.


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