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Optimization of the Orientation of Vertical Surfaces Based on Geographic Parameters for Solar Energy Harvesting

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Applied Computer Sciences in Engineering (WEA 2020)

Abstract

The solar energy potential of vertical façades in Building Integrated Photovoltaics (BIPV) systems represents an alternative for a sustainable development that has been analyzed in different countries but not yet in Colombia. This study analyzes the energy potential of vertical surfaces for four cities in Colombia by optimizing the orientation of the vertical panels using a clear sky radiation model. The results highlight the need for positioning vertical surface designs given the variation of optimal azimuthal angles for each city during both morning and afternoon. In addition, the energy generation potential of vertical façades with respect to horizontal solar panels is analyzed considering the maximum energy received and its alignment with the energy demand curve. Angular deviation tolerances with respect to the optimum angle are also found showing Sincelejo City to be more sensitive to changes than Medellin, Rionegro and Bogota.

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Acknowledgements

Authors thank Universidad EAFIT and the alliance “ENERGETICA 2030”, which is a Research Program coded 58667 from the “Colombia Científica” initiative, funded by The World Bank through the call “778-2017 Scientific Ecosystems”. The research program is managed by the Colombian Ministry of Science, Technology and Innovation (Minciencias) with contract No. FP44842-210-2018.

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Correspondence to Cristian C. Ospina-Metaute .

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Ospina-Metaute, C.C., Betancur, E., Medina-Garzón, L.F., Marulanda-Bernal, J.I., Velásquez-López, A. (2020). Optimization of the Orientation of Vertical Surfaces Based on Geographic Parameters for Solar Energy Harvesting. In: Figueroa-García, J.C., Garay-Rairán, F.S., Hernández-Pérez, G.J., Díaz-Gutierrez, Y. (eds) Applied Computer Sciences in Engineering. WEA 2020. Communications in Computer and Information Science, vol 1274. Springer, Cham. https://doi.org/10.1007/978-3-030-61834-6_39

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  • DOI: https://doi.org/10.1007/978-3-030-61834-6_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61833-9

  • Online ISBN: 978-3-030-61834-6

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