In this paper the financial feasibility in the installation of roof-top wind turbines in the territory of the city of Bari (Italy) has been analyzed. The elaborations carried out have allowed to define “wind” maps, in terms of annual mean wind speed and annual energy production, and evaluative maps, in terms of total profit for the investor and land lease values of the flat roofs of existing buildings. The thematic maps generated constitute a primary support for the operators interested in taking advantage of European resources and/or the incentives offered by energy regulations for the installation of roof-top wind turbines and identifying the areas characterized by higher yields. Furthermore, the model obtained provides investors and flat roofs’ owners motivated and contextualized economic values, referred to the local wind power capacities of the areas in which the installation of roof-top wind turbines is financially convenient.

Energy production through roof-top wind turbines. A GIS-based decision support model for planning investments in the city of Bari (Italy) / Morano, Pierluigi; Locurcio, Marco; Tajani, Francesco. - STAMPA. - 9157:(2015), pp. 104-119. [10.1007/978-3-319-21470-2_8]

Energy production through roof-top wind turbines. A GIS-based decision support model for planning investments in the city of Bari (Italy)

Pierluigi Morano;Marco Locurcio;Francesco Tajani
2015-01-01

Abstract

In this paper the financial feasibility in the installation of roof-top wind turbines in the territory of the city of Bari (Italy) has been analyzed. The elaborations carried out have allowed to define “wind” maps, in terms of annual mean wind speed and annual energy production, and evaluative maps, in terms of total profit for the investor and land lease values of the flat roofs of existing buildings. The thematic maps generated constitute a primary support for the operators interested in taking advantage of European resources and/or the incentives offered by energy regulations for the installation of roof-top wind turbines and identifying the areas characterized by higher yields. Furthermore, the model obtained provides investors and flat roofs’ owners motivated and contextualized economic values, referred to the local wind power capacities of the areas in which the installation of roof-top wind turbines is financially convenient.
2015
Computational Science and Its Applications, ICCSA 2015: 15th International Conference, Banff, AB, Canada, June 22-25, 2015, Proceedings, Part III
978-3-319-21469-6
Springer
Energy production through roof-top wind turbines. A GIS-based decision support model for planning investments in the city of Bari (Italy) / Morano, Pierluigi; Locurcio, Marco; Tajani, Francesco. - STAMPA. - 9157:(2015), pp. 104-119. [10.1007/978-3-319-21470-2_8]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/13307
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