IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v33y2008i9p2036-2047.html
   My bibliography  Save this article

Correlations of global and diffuse solar luminous efficacy for all sky conditions and comparisons with experimental data of five localities

Author

Listed:
  • Cucumo, M.
  • De Rosa, A.
  • Ferraro, V.
  • Kaliakatsos, D.
  • Marinelli, V.

Abstract

Some simplified correlations of mean hourly global and diffuse luminous efficacy on the horizontal plane for all sky conditions have been obtained for Arcavacata di Rende (Italy) and have been compared with other literature models and other experimental data measured in Geneva (Switzerland), Vaulx-en-Velin (France), Bratislava (Slovakia) and Osaka (Japan). The comparisons show that, for global efficacy, the differences among the various models are not significant, and the use of a model with a constant value of efficacy gives good predictions of global illuminance. For the prediction of diffuse illuminance the differences among the models are larger, but the use of a constant diffuse efficacy provides a good first estimate of diffuse illuminance.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:33:y:2008:i:9:p:2036-2047
    DOI: 10.1016/j.renene.2007.11.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148107003801
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2007.11.015?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. Gueymard, Christian A., 2005. "Interdisciplinary applications of a versatile spectral solar irradiance model: A review," Energy, Elsevier, vol. 30(9), pages 1551-1576.
    2. Gueymard, Christian A., 2005. "Importance of atmospheric turbidity and associated uncertainties in solar radiation and luminous efficacy modelling," Energy, Elsevier, vol. 30(9), pages 1603-1621.
    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.

    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. Cucumo, M. & De Rosa, A. & Ferraro, V. & Kaliakatsos, D. & Marinelli, V., 2010. "Correlations of direct solar luminous efficacy for all sky, clear sky and intermediate sky conditions and comparisons with experimental data of five localities," Renewable Energy, Elsevier, vol. 35(10), pages 2143-2156.
    2. Chen, Chenshun & Duan, Qiuhua & Feng, Yanxiao & Wang, Julian & Ghaeili Ardabili, Neda & Wang, Nan & Hosseini, Seyed Morteza & Shen, Chao, 2023. "Reconstruction of narrowband solar radiation for enhanced spectral selectivity in building-integrated solar energy simulations," Renewable Energy, Elsevier, vol. 219(P2).
    3. Psiloglou, B.E. & Kambezidis, H.D. & Kaskaoutis, D.G. & Karagiannis, D. & Polo, J.M., 2020. "Comparison between MRM simulations, CAMS and PVGIS databases with measured solar radiation components at the Methoni station, Greece," Renewable Energy, Elsevier, vol. 146(C), pages 1372-1391.
    4. Xiao, Gang & Guo, Kaikai & Xu, Weiping & Ni, Mingjiang & Luo, Zhongyang & Cen, Kefa, 2014. "An improved method of Lambertian CCD-camera radiation flux measurement based on SMARTS (simple model of the atmospheric radiative transfer of sunshine) to reduce spectral errors," Energy, Elsevier, vol. 67(C), pages 74-80.
    5. Liu, Jiandong & Linderholm, Hans & Chen, Deliang & Zhou, Xiuji & Flerchinger, Gerald N. & Yu, Qiang & Du, Jun & Wu, Dingrong & Shen, Yanbo & Yang, Zhenbin, 2015. "Changes in the relationship between solar radiation and sunshine duration in large cities of China," Energy, Elsevier, vol. 82(C), pages 589-600.
    6. Sun, Xixi & Bright, Jamie M. & Gueymard, Christian A. & Bai, Xinyu & Acord, Brendan & Wang, Peng, 2021. "Worldwide performance assessment of 95 direct and diffuse clear-sky irradiance models using principal component analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    7. Alonso, J. & Batlles, F.J., 2014. "Short and medium-term cloudiness forecasting using remote sensing techniques and sky camera imagery," Energy, Elsevier, vol. 73(C), pages 890-897.
    8. Wang, Lunche & Salazar, Germán Ariel & Gong, Wei & Peng, Simao & Zou, Ling & Lin, Aiwen, 2015. "An improved method for estimating the Ångström turbidity coefficient β in Central China during 1961–2010," Energy, Elsevier, vol. 81(C), pages 67-73.
    9. Ruiz-Arias, José A., 2022. "Spectral integration of clear-sky atmospheric transmittance: Review and worldwide performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    10. Ridley, Barbara & Boland, John & Lauret, Philippe, 2010. "Modelling of diffuse solar fraction with multiple predictors," Renewable Energy, Elsevier, vol. 35(2), pages 478-483.
    11. Jangwon Suh & Yosoon Choi, 2017. "Methods for Converting Monthly Total Irradiance Data into Hourly Data to Estimate Electric Power Production from Photovoltaic Systems: A Comparative Study," Sustainability, MDPI, vol. 9(7), pages 1-19, July.
    12. Escrig, H. & Batlles, F.J. & Alonso, J. & Baena, F.M. & Bosch, J.L. & Salbidegoitia, I.B. & Burgaleta, J.I., 2013. "Cloud detection, classification and motion estimation using geostationary satellite imagery for cloud cover forecast," Energy, Elsevier, vol. 55(C), pages 853-859.
    13. Kambezidis, H.D. & Psiloglou, B.E. & Karagiannis, D. & Dumka, U.C. & Kaskaoutis, D.G., 2017. "Meteorological Radiation Model (MRM v6.1): Improvements in diffuse radiation estimates and a new approach for implementation of cloud products," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 616-637.
    14. Kambezidis, H.D. & Psiloglou, B.E. & Karagiannis, D. & Dumka, U.C. & Kaskaoutis, D.G., 2016. "Recent improvements of the Meteorological Radiation Model for solar irradiance estimates under all-sky conditions," Renewable Energy, Elsevier, vol. 93(C), pages 142-158.
    15. Kudish, Avraham I. & Evseev, Efim G., 2012. "UVB irradiance and atmospheric optical depth at the Dead Sea basin, Israel: Measurements and modeling," Renewable Energy, Elsevier, vol. 48(C), pages 344-349.
    16. Marzo, Aitor & Ferrada, Pablo & Beiza, Felipe & Besson, Pierre & Alonso-Montesinos, Joaquín & Ballestrín, Jesús & Román, Roberto & Portillo, Carlos & Escobar, Rodrigo & Fuentealba, Edward, 2018. "Standard or local solar spectrum? Implications for solar technologies studies in the Atacama desert," Renewable Energy, Elsevier, vol. 127(C), pages 871-882.
    17. Larrañeta, M. & Reno, M.J. & Lillo-Bravo, I. & Silva-Pérez, M.A., 2017. "Identifying periods of clear sky direct normal irradiance," Renewable Energy, Elsevier, vol. 113(C), pages 756-763.
    18. Polo, J. & Antonanzas-Torres, F. & Vindel, J.M. & Ramirez, L., 2014. "Sensitivity of satellite-based methods for deriving solar radiation to different choice of aerosol input and models," Renewable Energy, Elsevier, vol. 68(C), pages 785-792.
    19. Rouhollahi, Mina & Whaley, David & Behrend, Monica & Byrne, Josh & Boland, John, 2022. "The role of residential tree arrangement: A scoping review of energy efficiency in temperate to subtropical climate zones," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    20. Gueymard, Christian A. & Ruiz-Arias, José Antonio, 2015. "Validation of direct normal irradiance predictions under arid conditions: A review of radiative models and their turbidity-dependent performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 379-396.

    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:33:y:2008:i:9:p:2036-2047. 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.