Identification of the Sustainable Wind and Solar Potential in Urban Areas Using a GIS Methodology
- 1 Laboratório Nacional de Energia e Geologia—LNEG, Lisboa, Portugal
- 2 Laboratório Nacional de Energia e Geologia—LNEG, Lisboa, Portugal
- 3 Faculdade de Ciências, Universidade de Lisboa, IDL, Lisboa, Portugal
Abstract
In recent years the publication of new legislation in the renewables sector, namely the one related to microgeneration systems, has contributed to an increase in the installation of renewable energy systems in Portugal. Nevertheless, the investment in these systems is still high and the risk of considering sites with reduced resource constitutes a barrier to the development of this sub-sector. In the sequence of the previous work developed in the wind energy planning area, a methodology to identify the sustainable wind and solar potential in urban areas was developed, in order to reduce the pre-installation costs related to a less suitable site selection, and also to identify the real potential of the urban areas. In order to do so, a geographical information system was used and a set of tools was developed. The methodology was structured to enable its replication in other geographical locations and is sufficiently interactive to allow for the variation of the main input data. A case study in two urban environments is presented in this document to illustrate the developed methodology.
- Simoes, T. (2004) Base de Dados do Potencial Energético do Vento em Portugal— Metodologia e Desenvolvimento, Dissertacao para a obtencao do grau de Mestre em ciências e engenharia da Terra. FCUL, Lisboa.
- Costa, P. and Estanqueiro, A. (2006) Building a Wind Atlas for Mainland Portugal Using a Weather Type Classification. Proceedings of the European Wind Energy Conference, Athens.
- Simoes, T., Costa, P. and Estanqueiro, A. (2009) A Methodology for the Identification of the Sustainable Wind Potential. The Portuguese Case Study. Power Systems Conference and Exposition, Seattle, 15-18 March 2009. https://doi.org/10.1109/PSCE.2009.4839951
- Batagan, L. (2012) The Use of Intelligent Solutions in Romanian Cities. Informatica Economica, 16, 37-43.
- McIntyre, J., Lubitz, W. and Stiver, W. (2011) Local Wind Energy Potential for the City of Guelph. Renewable Energy, 36, 1427-1446. https://doi.org/10.1016/j.renene.2010.10.020
- Grassi, S., Chokani, N. and Abhari, R. (2012) Large Scale Technical and Economical Assessment of Wind Energy Potential with a GIS Tool: Case Study Iowa. Energy Policy, 45, 73-85. https://doi.org/10.1016/j.enpol.2012.01.061
- Simoes, T., Costa, P. and Estanqueiro, A. (2009) A Methodology for the Identification of the Sustainable Wind Potential. The Portuguese Case Study. Proceedings of the IEEE PES Conference, Seattle, 15-18 March 2009. https://doi.org/10.1109/PSCE.2009.4839951
- Dagdougui, H., Ouammi, A. and Sacile, R. (2011) A Regional Decision Support System for Onsite Renewable Hydrogen Production from Solar and Wind Energy Sources. International Journal of Hydrogen Energy, 36, 14324-14334. https://doi.org/10.1016/j.ijhydene.2011.08.050
- Charabi, Y. and Gastil, A. (2011) PV Suitability Analysis Using GIS-Based Spatial Fuzzy Multi-Criteria Evaluation. Renewable Energy, 36, 2554-2561. https://doi.org/10.1016/j.renene.2010.10.037
- Amador, J. and Domínguez, J. (2005) Application of Geographical Information Systems to Rural Electrification with Renewable Energy Sources. Renewable Energy, 30, 1897-1912. https://doi.org/10.1016/j.renene.2004.12.007
- Tiba, C., Candeias, A., Fraidenraich, N., Barbosa, E.D.S. and Neto, P.D.C. (2012) A GIS-Based Decision Support Tool for Renewable Energy. Renewable Energy, 35, 2921-2932. https://doi.org/10.1016/j.renene.2010.05.009
- Wiginton, L., Nguyen, H. and Pearce, J. (2010) Quantifying Rooftop Solar Photovoltaic Potential for Regional Renewable Energy Policy. Computers, Environment and Urban Systems, 34, 345-357. https://doi.org/10.1016/j.compenvurbsys.2010.01.001