IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v119y2018icp375-387.html
   My bibliography  Save this article

Model development and evaluation of global and diffuse luminous efficacy for humid sub-tropical region

Author

Listed:
  • Azad, Abdus Salam
  • Rakshit, Dibakar
  • Patil, K.N.

Abstract

Daylight has a significant role for energy conservation in buildings. Luminous efficacy models have been applied by many researchers to estimate the illuminance level from available irradiance data. In the present study, the characteristics of global (Kg) and diffuse (Kd) luminous efficacies are reported based on measured data for the humid sub-tropical region of New Delhi, India. Four existing efficacy models have been compared based on the measured irradiance and illuminance data. Statistical analysis indicates that the existing models performed poorly for the selected location. The performance of the models was significantly improved when the optimized coefficients were adopted using the measured data. Global and diffuse efficacy under clear, intermediate, overcast and all sky conditions, using existing and developed efficacy models were computed and compared. A good agreement has been exhibited for variation of efficacies with the measured values for different sky conditions from cloud to clear skies. Variation of global and diffuse efficacy for sky (clear, intermediate and overcast) w.r.t. solar altitude angle and sky clearness index has been presented. Finally, mean monthly global (Lg) and diffuse (Ld) illuminance were also estimated using the original and optimized version of efficacy models to provide impression of deviation of the models.

Suggested Citation

  • Azad, Abdus Salam & Rakshit, Dibakar & Patil, K.N., 2018. "Model development and evaluation of global and diffuse luminous efficacy for humid sub-tropical region," Renewable Energy, Elsevier, vol. 119(C), pages 375-387.
    • Handle: RePEc:eee:renene:v:119:y:2018:i:c:p:375-387
    DOI: 10.1016/j.renene.2017.12.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148117312004
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2017.12.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chaiwiwatworakul, Pipat & Chirarattananon, Surapong, 2013. "Luminous efficacies of global and diffuse horizontal irradiances in a tropical region," Renewable Energy, Elsevier, vol. 53(C), pages 148-158.
    2. Fakra, A.H. & Boyer, H. & Miranville, F. & Bigot, D., 2011. "A simple evaluation of global and diffuse luminous efficacy for all sky conditions in tropical and humid climate," Renewable Energy, Elsevier, vol. 36(1), pages 298-306.
    3. Muneer, T. & Gul, M. & Kinghorn, D., 1998. "Development of a meteorological illuminance model for daylight computations," Applied Energy, Elsevier, vol. 59(4), pages 235-260, April.
    4. Cucumo, M. & De Rosa, A. & Ferraro, V. & Kaliakatsos, D. & Marinelli, V., 2008. "Correlations of global and diffuse solar luminous efficacy for all sky conditions and comparisons with experimental data of five localities," Renewable Energy, Elsevier, vol. 33(9), pages 2036-2047.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiraphorn Mahawan & Atthakorn Thongtha, 2021. "Experimental Investigation of Illumination Performance of Hollow Light Pipe for Energy Consumption Reduction in Buildings," Energies, MDPI, vol. 14(2), pages 1-17, January.
    2. Dieste-Velasco, M.I. & Díez-Mediavilla, M. & Alonso-Tristán, C. & González-Peña, D. & Rodríguez-Amigo, M.C. & García-Calderón, T., 2020. "A new diffuse luminous efficacy model for daylight availability in Burgos, Spain," Renewable Energy, Elsevier, vol. 146(C), pages 2812-2826.
    3. Saxena, Rajat & Rakshit, Dibakar & Kaushik, S.C., 2020. "Experimental assessment of Phase Change Material (PCM) embedded bricks for passive conditioning in buildings," Renewable Energy, Elsevier, vol. 149(C), pages 587-599.
    4. Li, Danny H.W. & Aghimien, Emmanuel I. & Tsang, Ernest K.W., 2022. "Application of artificial neural networks in horizontal luminous efficacy modeling," Renewable Energy, Elsevier, vol. 197(C), pages 864-878.
    5. Dieste-Velasco, M.I. & Díez-Mediavilla, M. & Granados-López, D. & González-Peña, D. & Alonso-Tristán, C., 2019. "Performance of global luminous efficacy models and proposal of a new model for daylighting in Burgos, Spain," Renewable Energy, Elsevier, vol. 133(C), pages 1000-1010.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dieste-Velasco, M.I. & Díez-Mediavilla, M. & Alonso-Tristán, C. & González-Peña, D. & Rodríguez-Amigo, M.C. & García-Calderón, T., 2020. "A new diffuse luminous efficacy model for daylight availability in Burgos, Spain," Renewable Energy, Elsevier, vol. 146(C), pages 2812-2826.
    2. Li, Danny H.W. & Aghimien, Emmanuel I. & Tsang, Ernest K.W., 2022. "Application of artificial neural networks in horizontal luminous efficacy modeling," Renewable Energy, Elsevier, vol. 197(C), pages 864-878.
    3. Chaiwiwatworakul, Pipat & Chirarattananon, Surapong, 2013. "Luminous efficacies of global and diffuse horizontal irradiances in a tropical region," Renewable Energy, Elsevier, vol. 53(C), pages 148-158.
    4. Dieste-Velasco, M.I. & Díez-Mediavilla, M. & Granados-López, D. & González-Peña, D. & Alonso-Tristán, C., 2019. "Performance of global luminous efficacy models and proposal of a new model for daylighting in Burgos, Spain," Renewable Energy, Elsevier, vol. 133(C), pages 1000-1010.
    5. Li, Danny H.W. & Lou, Siwei, 2018. "Review of solar irradiance and daylight illuminance modeling and sky classification," Renewable Energy, Elsevier, vol. 126(C), pages 445-453.
    6. Janjai, S. & Prathumsit, J. & Buntoung, S. & Wattan, R. & Pattarapanitchai, S. & Masiri, I., 2014. "Modeling the luminous efficacy of direct and diffuse solar radiation using information on cloud, aerosol and water vapor in the tropics," Renewable Energy, Elsevier, vol. 66(C), pages 111-117.
    7. Hwang Yi & Mi-Jin Kim & Yuri Kim & Sun-Sook Kim & Kyu-In Lee, 2019. "Rapid Simulation of Optimally Responsive Façade during Schematic Design Phases: Use of a New Hybrid Metaheuristic Algorithm," Sustainability, MDPI, vol. 11(9), pages 1-28, May.
    8. 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.
    9. De Rosa, A. & Ferraro, V. & Kaliakatsos, D. & Marinelli, V., 2008. "Calculating diffuse illuminance on vertical surfaces in different sky conditions," Energy, Elsevier, vol. 33(11), pages 1703-1710.
    10. 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.
    11. Reno, Matthew J. & Hansen, Clifford W., 2016. "Identification of periods of clear sky irradiance in time series of GHI measurements," Renewable Energy, Elsevier, vol. 90(C), pages 520-531.
    12. Lillo-Bravo, I. & Larrañeta, M. & Núñez-Ortega, E. & González-Galván, R., 2020. "Simplified model to correct thermopile pyranometer solar radiation measurements for photovoltaic module yield estimation," Renewable Energy, Elsevier, vol. 146(C), pages 1486-1497.
    13. Fakra, A.H. & Boyer, H. & Miranville, F. & Bigot, D., 2011. "A simple evaluation of global and diffuse luminous efficacy for all sky conditions in tropical and humid climate," Renewable Energy, Elsevier, vol. 36(1), pages 298-306.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:119:y:2018:i:c:p:375-387. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.