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Measuring and modelling illuminance in the semi-arid Northeast of Brazil

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  • Tíba, C.
  • Leal, S.S.

Abstract

Illuminance measurement do not make up a part of routine measurements in meteorological stations in Brazil, therefore, they are very rare. This information is important for evaluating the potential contribution of natural illumination in commercial buildings, which would significantly reduce the consumption of electric energy that is used for artificial illumination and refrigeration systems.

Suggested Citation

  • Tíba, C. & Leal, S.S., 2012. "Measuring and modelling illuminance in the semi-arid Northeast of Brazil," Renewable Energy, Elsevier, vol. 48(C), pages 464-472.
    • Handle: RePEc:eee:renene:v:48:y:2012:i:c:p:464-472
    DOI: 10.1016/j.renene.2012.05.023
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    References listed on IDEAS

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    1. Singh, M.C. & Garg, S.N., 2010. "Illuminance estimation and daylighting energy savings for Indian regions," Renewable Energy, Elsevier, vol. 35(3), pages 703-711.
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    Cited by:

    1. Beccali, M. & Bonomolo, M. & Ciulla, G. & Lo Brano, V., 2018. "Assessment of indoor illuminance and study on best photosensors' position for design and commissioning of Daylight Linked Control systems. A new method based on artificial neural networks," Energy, Elsevier, vol. 154(C), pages 466-476.
    2. Pattarapanitchai, S. & Janjai, S. & Tohsing, K. & Prathumsit, J., 2015. "A technique to map monthly average global illuminance from satellite data in the tropics using a simple semi-empirical model," Renewable Energy, Elsevier, vol. 74(C), pages 170-175.
    3. Das, Aparna & Paul, Saikat Kumar, 2015. "Artificial illumination during daytime in residential buildings: Factors, energy implications and future predictions," Applied Energy, Elsevier, vol. 158(C), pages 65-85.

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