IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v35y2010i10p2143-2156.html
   My bibliography  Save this article

Correlations of direct solar luminous efficacy for all sky, clear sky and intermediate sky conditions and comparisons with experimental data of five localities

Author

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

Abstract

Many correlations of mean hourly direct luminous efficacy for all sky, clear sky and intermediate sky conditions have been compared with experimental data measured in Arcavacata di Rende (Italy), Geneva (Switzerland), Vaulx-en-Velin (France), Bratislava (Slovakia) and Osaka (Japan). The comparisons show that, for all sky conditions, the correlations developed for one locality predict the luminous efficacy in the other localities with mean errors between −13% and 20% and root mean square errors between 15% and 35%; for clear sky conditions, the correlations developed for one locality predict the luminous efficacy in the other localities with mean errors between −7% and 14% and root mean square errors between 7% and 19%; for intermediate sky conditions, the correlations developed for one locality predict the luminous efficacy in the other localities with mean errors between −17% and 26% and root mean square errors between 20% and 41%.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:35:y:2010:i:10:p:2143-2156
    DOI: 10.1016/j.renene.2010.04.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148110001564
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2010.04.004?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. Robledo, Luis & Soler, Alfonso, 2001. "Luminous efficacy of direct solar radiation for all sky types," Energy, Elsevier, vol. 26(7), pages 669-677.
    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.
    3. Gueymard, Christian A., 2005. "Interdisciplinary applications of a versatile spectral solar irradiance model: A review," Energy, Elsevier, vol. 30(9), pages 1551-1576.
    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. 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.
    2. Bevilacqua, Piero & Benevento, Federica & Bruno, Roberto & Arcuri, Natale, 2019. "Are Trombe walls suitable passive systems for the reduction of the yearly building energy requirements?," Energy, Elsevier, vol. 185(C), pages 554-566.
    3. Barbón, A. & Sánchez-Rodríguez, J.A. & Bayón, L. & Barbón, N., 2018. "Development of a fiber daylighting system based on a small scale linear Fresnel reflector: Theoretical elements," Applied Energy, Elsevier, vol. 212(C), pages 733-745.
    4. Liu, Hongda & Li, Lun & Han, Yang & Lu, Fang, 2019. "Method of identifying the lengths of equivalent clear-sky periods in the time series of DNI measurements based on generalized atmospheric turbidity," Renewable Energy, Elsevier, vol. 136(C), pages 179-192.
    5. 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.
    6. 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.

    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., 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.
    2. 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.
    3. 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.
    4. 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.
    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. 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. 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.
    11. Ridley, Barbara & Boland, John & Lauret, Philippe, 2010. "Modelling of diffuse solar fraction with multiple predictors," Renewable Energy, Elsevier, vol. 35(2), pages 478-483.
    12. Robledo, L. & Soler, A., 2002. "A simple clear skies model for the luminous efficacy of diffuse solar radiation on inclined surfaces," Renewable Energy, Elsevier, vol. 26(2), pages 169-176.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Li, Danny H.W., 2010. "A review of daylight illuminance determinations and energy implications," Applied Energy, Elsevier, vol. 87(7), pages 2109-2118, July.
    18. 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.
    19. 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.
    20. 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.

    More about this item

    Keywords

    Direct luminous efficacy;

    Statistics

    Access and download statistics

    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:35:y:2010:i:10:p:2143-2156. 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.