Circular Statistics Applied to the Study of the Solar Radiation Potential of Rooftops in a Medium-Sized City
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- Brito, M.C. & Freitas, S. & Guimarães, S. & Catita, C. & Redweik, P., 2017. "The importance of facades for the solar PV potential of a Mediterranean city using LiDAR data," Renewable Energy, Elsevier, vol. 111(C), pages 85-94.
- Lingfors, D. & Bright, J.M. & Engerer, N.A. & Ahlberg, J. & Killinger, S. & Widén, J., 2017. "Comparing the capability of low- and high-resolution LiDAR data with application to solar resource assessment, roof type classification and shading analysis," Applied Energy, Elsevier, vol. 205(C), pages 1216-1230.
- Lacal Arantegui, Roberto & Jäger-Waldau, Arnulf, 2018. "Photovoltaics and wind status in the European Union after the Paris Agreement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2460-2471.
- Bayrakçı, Hilmi Cenk & Demircan, Cihan & Keçebaş, Ali, 2018. "The development of empirical models for estimating global solar radiation on horizontal surface: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2771-2782.
- Hartner, Michael & Ortner, André & Hiesl, Albert & Haas, Reinhard, 2015. "East to west – The optimal tilt angle and orientation of photovoltaic panels from an electricity system perspective," Applied Energy, Elsevier, vol. 160(C), pages 94-107.
- Martínez-Rubio, A. & Sanz-Adan, F. & Santamaría-Peña, J. & Martínez, Araceli, 2016. "Evaluating solar irradiance over facades in high building cities, based on LiDAR technology," Applied Energy, Elsevier, vol. 183(C), pages 133-147.
- Sarralde, Juan José & Quinn, David James & Wiesmann, Daniel & Steemers, Koen, 2015. "Solar energy and urban morphology: Scenarios for increasing the renewable energy potential of neighbourhoods in London," Renewable Energy, Elsevier, vol. 73(C), pages 10-17.
- Jonathan Corcoran & Prem Chhetri & Robert Stimson, 2009. "Using circular statistics to explore the geography of the journey to work," Papers in Regional Science, Wiley Blackwell, vol. 88(1), pages 119-132, March.
- La Gennusa, Maria & Lascari, Giovanni & Rizzo, Gianfranco & Scaccianoce, Gianluca & Sorrentino, Giancarlo, 2011. "A model for predicting the potential diffusion of solar energy systems in complex urban environments," Energy Policy, Elsevier, vol. 39(9), pages 5335-5343, September.
- Mohajeri, Nahid & Upadhyay, Govinda & Gudmundsson, Agust & Assouline, Dan & Kämpf, Jérôme & Scartezzini, Jean-Louis, 2016. "Effects of urban compactness on solar energy potential," Renewable Energy, Elsevier, vol. 93(C), pages 469-482.
- Hoggett, Richard, 2014. "Technology scale and supply chains in a secure, affordable and low carbon energy transition," Applied Energy, Elsevier, vol. 123(C), pages 296-306.
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- Africa Lopez-Rey & Severo Campinez-Romero & Rosario Gil-Ortego & Antonio Colmenar-Santos, 2019. "Evaluation of Supply–Demand Adaptation of Photovoltaic–Wind Hybrid Plants Integrated into an Urban Environment," Energies, MDPI, vol. 12(9), pages 1-24, May.
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Keywords
solar potential; solar radiation; circular data; statistical analysis; rooftop orientation;All these keywords.
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