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Article

GPU-Enabled Shadow Casting for Solar Potential Estimation in Large Urban Areas. Application to the Solar Cadaster of Greater Geneva

Haute école du paysage d’ingénierie et d’architecture de Genève (HEPIA), University of Applied Sciences and Arts, Western Switzerland (HES-SO), CH-1202 Geneva, Switzerland
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Appl. Sci. 2020, 10(15), 5361; https://doi.org/10.3390/app10155361
Received: 18 May 2020 / Revised: 22 July 2020 / Accepted: 25 July 2020 / Published: 3 August 2020
(This article belongs to the Special Issue Solar Radiation: Measurements and Modelling, Effects and Applications)
In the context of encouraging the development of renewable energy, this paper deals with the description of a software solution for mapping out solar potential in a large scale and in high resolution. We leverage the performance provided by Graphics Processing Units (GPUs) to accelerate shadow casting procedures (used both for direct sunlight exposure and the sky view factor), as well as use off-the-shelf components to compute an average weather pattern for a given area. Application of the approach is presented in the context of the solar cadaster of Greater Geneva (2000 km2). The results show that doing the analysis on a square tile of 3.4 km at a resolution of 0.5 m takes up to two hours, which is better than what we were achieving with the previous work. This shows that GPU-based calculations are highly competitive in the field of solar potential modeling. View Full-Text
Keywords: GPU; solar potential modeling; shadow casting; solar cadaster GPU; solar potential modeling; shadow casting; solar cadaster
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MDPI and ACS Style

Stendardo, N.; Desthieux, G.; Abdennadher, N.; Gallinelli, P. GPU-Enabled Shadow Casting for Solar Potential Estimation in Large Urban Areas. Application to the Solar Cadaster of Greater Geneva. Appl. Sci. 2020, 10, 5361. https://doi.org/10.3390/app10155361

AMA Style

Stendardo N, Desthieux G, Abdennadher N, Gallinelli P. GPU-Enabled Shadow Casting for Solar Potential Estimation in Large Urban Areas. Application to the Solar Cadaster of Greater Geneva. Applied Sciences. 2020; 10(15):5361. https://doi.org/10.3390/app10155361

Chicago/Turabian Style

Stendardo, Nabil, Gilles Desthieux, Nabil Abdennadher, and Peter Gallinelli. 2020. "GPU-Enabled Shadow Casting for Solar Potential Estimation in Large Urban Areas. Application to the Solar Cadaster of Greater Geneva" Applied Sciences 10, no. 15: 5361. https://doi.org/10.3390/app10155361

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