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Evaluating solar irradiance over facades in high building cities, based on LiDAR technology

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  • Martínez-Rubio, A.
  • Sanz-Adan, F.
  • Santamaría-Peña, J.
  • Martínez, Araceli

Abstract

Arranging a solar irradiation map of the buildings of a city is a valuable tool for sustainable urban planning in regard to non-carbonized criteria in important applications. Such applications may include: selection of materials for the building envelope and insulation according to the irradiation received at each point; monitoring the installation of photovoltaic systems to ensure that they are located in the optimal irradiance zones; or building restoration to improve the energy efficiency and electric generation.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:183:y:2016:i:c:p:133-147
    DOI: 10.1016/j.apenergy.2016.08.163
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    Cited by:

    1. 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.
    2. Gonçalves, Juliana E. & Montazeri, Hamid & van Hooff, Twan & Saelens, Dirk, 2021. "Performance of building integrated photovoltaic facades: Impact of exterior convective heat transfer," Applied Energy, Elsevier, vol. 287(C).
    3. María-Eugenia Polo & Mar Pozo & Elia Quirós, 2018. "Circular Statistics Applied to the Study of the Solar Radiation Potential of Rooftops in a Medium-Sized City," Energies, MDPI, vol. 11(10), pages 1-16, October.
    4. Mohajeri, N. & Gudmundsson, A. & Kunckler, T. & Upadhyay, G. & Assouline, D. & Kämpf, J.H & Scartezzini, J.L., 2019. "A solar-based sustainable urban design: The effects of city-scale street-canyon geometry on solar access in Geneva, Switzerland," Applied Energy, Elsevier, vol. 240(C), pages 173-190.
    5. Wang, C. & Zhu, Y. & Qu, J. & Hu, H.D., 2018. "Automatic air temperature control in a container with an optic-variable wall," Applied Energy, Elsevier, vol. 224(C), pages 671-681.
    6. Alberto Bocca & Luca Bergamasco & Matteo Fasano & Lorenzo Bottaccioli & Eliodoro Chiavazzo & Alberto Macii & Pietro Asinari, 2018. "Multiple-Regression Method for Fast Estimation of Solar Irradiation and Photovoltaic Energy Potentials over Europe and Africa," Energies, MDPI, vol. 11(12), pages 1-17, December.
    7. Ren, Haoshan & Xu, Chengliang & Ma, Zhenjun & Sun, Yongjun, 2022. "A novel 3D-geographic information system and deep learning integrated approach for high-accuracy building rooftop solar energy potential characterization of high-density cities," Applied Energy, Elsevier, vol. 306(PA).
    8. Cheng, Liang & Zhang, Fangli & Li, Shuyi & Mao, Junya & Xu, Hao & Ju, Weimin & Liu, Xiaoqiang & Wu, Jie & Min, Kaifu & Zhang, Xuedong & Li, Manchun, 2020. "Solar energy potential of urban buildings in 10 cities of China," Energy, Elsevier, vol. 196(C).

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