IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v77y2015icp115-124.html
   My bibliography  Save this article

Reconstruction of long-term direct solar irradiance data series using a model based on the Cloud Modification Factor

Author

Listed:
  • Pérez-Burgos, Ana
  • Román, Roberto
  • Bilbao, Julia
  • de Miguel, Argimiro
  • Oteiza, Pilar

Abstract

This paper develops a semi-empirical model to calculate direct solar shortwave irradiance on a horizontal surface for any cloudiness condition. The model is based on radiative transfer simulations combined with empirical relationships; it makes use of the global solar irradiance, experimentally measured in most of the radiometric stations, and the Cloud Modification Factor (CMF). A dataset of irradiance from eight Spanish locations is used to tune the model parameters and a part of the data is used to validate the model. By using long-term series of experimental global irradiance data, the corresponding long-term direct irradiances are reconstructed for each location using the proposed model. An evaluation of the model performance is carried out for different solar zenith angles. Following, monthly averages of the hourly data were calculated from the reconstructed values. A high correlation is found when compared with the corresponding measured values. To make use of the obtained results, a characterization of the typical climatic values of the solar direct irradiance in Spain is carried out. The results provide representative values of solar direct radiation and show the availability of this solar resource in the studied areas.

Suggested Citation

  • Pérez-Burgos, Ana & Román, Roberto & Bilbao, Julia & de Miguel, Argimiro & Oteiza, Pilar, 2015. "Reconstruction of long-term direct solar irradiance data series using a model based on the Cloud Modification Factor," Renewable Energy, Elsevier, vol. 77(C), pages 115-124.
    • Handle: RePEc:eee:renene:v:77:y:2015:i:c:p:115-124
    DOI: 10.1016/j.renene.2014.12.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148114008337
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2014.12.007?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. Copper, J.K. & Sproul, A.B., 2012. "Comparative study of mathematical models in estimating solar irradiance for Australia," Renewable Energy, Elsevier, vol. 43(C), pages 130-139.
    2. Zawilska, E. & Brooks, M.J., 2011. "An assessment of the solar resource for Durban, South Africa," Renewable Energy, Elsevier, vol. 36(12), pages 3433-3438.
    3. Ridley, Barbara & Boland, John & Lauret, Philippe, 2010. "Modelling of diffuse solar fraction with multiple predictors," Renewable Energy, Elsevier, vol. 35(2), pages 478-483.
    4. de Vries, Bert J.M. & van Vuuren, Detlef P. & Hoogwijk, Monique M., 2007. "Renewable energy sources: Their global potential for the first-half of the 21st century at a global level: An integrated approach," Energy Policy, Elsevier, vol. 35(4), pages 2590-2610, April.
    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. García, Jesús M. & Padilla, Ricardo Vasquez & Sanjuan, Marco E., 2016. "A biomimetic approach for modeling cloud shading with dynamic behavior," Renewable Energy, Elsevier, vol. 96(PA), pages 157-166.

    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. Copper, J.K. & Sproul, A.B., 2013. "Comparative building simulation study utilising measured and estimated solar irradiance for Australian locations," Renewable Energy, Elsevier, vol. 53(C), pages 86-93.
    2. Copper, J.K. & Sproul, A.B. & Jarnason, S., 2016. "Photovoltaic (PV) performance modelling in the absence of onsite measured plane of array irradiance (POA) and module temperature," Renewable Energy, Elsevier, vol. 86(C), pages 760-769.
    3. Lin, Chun-Tin & Chang, Keh-Chin & Chung, Kung-Ming, 2023. "Re-modeling the solar diffuse fraction in Taiwan on basis of a typical-meteorological-year data," Renewable Energy, Elsevier, vol. 204(C), pages 823-835.
    4. Every, Jeremy P. & Li, Li & Dorrell, David G., 2020. "Köppen-Geiger climate classification adjustment of the BRL diffuse irradiation model for Australian locations," Renewable Energy, Elsevier, vol. 147(P1), pages 2453-2469.
    5. Abreu, Edgar F.M. & Canhoto, Paulo & Prior, Victor & Melicio, R., 2018. "Solar resource assessment through long-term statistical analysis and typical data generation with different time resolutions using GHI measurements," Renewable Energy, Elsevier, vol. 127(C), pages 398-411.
    6. Mahtta, Richa & Joshi, P.K. & Jindal, Alok Kumar, 2014. "Solar power potential mapping in India using remote sensing inputs and environmental parameters," Renewable Energy, Elsevier, vol. 71(C), pages 255-262.
    7. Mokri, Alaeddine & Aal Ali, Mona & Emziane, Mahieddine, 2013. "Solar energy in the United Arab Emirates: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 340-375.
    8. Batidzirai, B. & Smeets, E.M.W. & Faaij, A.P.C., 2012. "Harmonising bioenergy resource potentials—Methodological lessons from review of state of the art bioenergy potential assessments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6598-6630.
    9. Bertrand, Cédric & Vanderveken, Gilles & Journée, Michel, 2015. "Evaluation of decomposition models of various complexity to estimate the direct solar irradiance over Belgium," Renewable Energy, Elsevier, vol. 74(C), pages 618-626.
    10. Hernández-Escobedo, Q. & Rodríguez-García, E. & Saldaña-Flores, R. & Fernández-García, A. & Manzano-Agugliaro, F., 2015. "Solar energy resource assessment in Mexican states along the Gulf of Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 216-238.
    11. Schinke-Nendza, A. & von Loeper, F. & Osinski, P. & Schaumann, P. & Schmidt, V. & Weber, C., 2021. "Probabilistic forecasting of photovoltaic power supply — A hybrid approach using D-vine copulas to model spatial dependencies," Applied Energy, Elsevier, vol. 304(C).
    12. Mostafaeipour, Ali, 2010. "Productivity and development issues of global wind turbine industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1048-1058, April.
    13. Silva Herran, Diego & Dai, Hancheng & Fujimori, Shinichiro & Masui, Toshihiko, 2016. "Global assessment of onshore wind power resources considering the distance to urban areas," Energy Policy, Elsevier, vol. 91(C), pages 75-86.
    14. Abhnil Amtesh Prasad & Merlinde Kay, 2020. "Assessment of Simulated Solar Irradiance on Days of High Intermittency Using WRF-Solar," Energies, MDPI, vol. 13(2), pages 1-22, January.
    15. Adenle, Ademola A., 2020. "Assessment of solar energy technologies in Africa-opportunities and challenges in meeting the 2030 agenda and sustainable development goals," Energy Policy, Elsevier, vol. 137(C).
    16. José Luis Míguez & Jacobo Porteiro & Raquel Pérez-Orozco & Miguel Ángel Gómez, 2018. "Technology Evolution in Membrane-Based CCS," Energies, MDPI, vol. 11(11), pages 1-18, November.
    17. Jentsch, Mark F. & James, Patrick A.B. & Bourikas, Leonidas & Bahaj, AbuBakr S., 2013. "Transforming existing weather data for worldwide locations to enable energy and building performance simulation under future climates," Renewable Energy, Elsevier, vol. 55(C), pages 514-524.
    18. Bell, Kendon & Zilberman, David, 2016. "The potential for renewable fuels under greenhouse gas pricing: The case of sugarcane in Brazil," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt03h2850w, Department of Agricultural & Resource Economics, UC Berkeley.
    19. Kis, Zoltán & Pandya, Nikul & Koppelaar, Rembrandt H.E.M., 2018. "Electricity generation technologies: Comparison of materials use, energy return on investment, jobs creation and CO2 emissions reduction," Energy Policy, Elsevier, vol. 120(C), pages 144-157.
    20. Ovando, Paola & Caparrós, Alejandro, 2009. "Land use and carbon mitigation in Europe: A survey of the potentials of different alternatives," Energy Policy, Elsevier, vol. 37(3), pages 992-1003, March.

    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:77:y:2015:i:c:p:115-124. 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.