IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v62y2014icp459-467.html
   My bibliography  Save this article

Enhanced values of global irradiance due to the presence of clouds in Eastern Mediterranean

Author

Listed:
  • Tapakis, R.
  • Charalambides, A.G.

Abstract

During cloudy conditions, the presence of clouds in the sky in relation to the sun's position may result in obscuring the sun's direct irradiance to a Photovoltaic Park, and thus in a reduction in the solar irradiance directly, and in energy production indirectly. Nevertheless, during partially cloudy conditions, diffuse irradiance at the PV park may be enhanced due to the reflection of solar irradiance from the base of the clouds and from the scattering of direct irradiance due to cloud particles. Such periods of enhanced solar irradiance may last from several seconds to some minutes depending on the cloud motion. This paper presents measurements of enhanced global irradiance from data obtained in Cyprus (latitude 34.7° N, longitude 32.6° E), during the spring and summer of 2010. On seven occasions in five different days of May and June, the measured value of global irradiance exceeded 1500 Wm−2 that corresponds to 150% of the theoretical value computed by Bird and Hulstrom clear-sky computational model for those specific occasions. Moreover, it is noteworthy that in more than 20 days of April, May and June, the 1 min and 10-min average global irradiance exceeded 1200 Wm−2 (enhanced by 125% compared to the theoretical ensembled averaged value for those specific occasions) showing a long lasting period of this effect. These long periods of high irradiance values, along with the temperature drop due to the presence of clouds (the ambient temperature in the summer near noon is in the range of 30–40 °C while the measured temperature was in the range of 15–20 °C) might boost the performance of photovoltaic modules and cause irreparable damage to photovoltaic inverters.

Suggested Citation

  • Tapakis, R. & Charalambides, A.G., 2014. "Enhanced values of global irradiance due to the presence of clouds in Eastern Mediterranean," Renewable Energy, Elsevier, vol. 62(C), pages 459-467.
    • Handle: RePEc:eee:renene:v:62:y:2014:i:c:p:459-467
    DOI: 10.1016/j.renene.2013.08.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148113004023
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2013.08.001?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. Badescu, Viorel & Gueymard, Christian A. & Cheval, Sorin & Oprea, Cristian & Baciu, Madalina & Dumitrescu, Alexandru & Iacobescu, Flavius & Milos, Ioan & Rada, Costel, 2013. "Accuracy analysis for fifty-four clear-sky solar radiation models using routine hourly global irradiance measurements in Romania," Renewable Energy, Elsevier, vol. 55(C), pages 85-103.
    2. Piacentini, Rubén D. & Salum, Graciela M. & Fraidenraich, Naum & Tiba, Chigueru, 2011. "Extreme total solar irradiance due to cloud enhancement at sea level of the NE Atlantic coast of Brazil," Renewable Energy, Elsevier, vol. 36(1), pages 409-412.
    3. Muzathik, A.M. & Ibrahim, M.Z. & Samo, K.B. & Wan Nik, W.B., 2011. "Estimation of global solar irradiation on horizontal and inclined surfaces based on the horizontal measurements," Energy, Elsevier, vol. 36(2), pages 812-818.
    4. Demain, Colienne & Journée, Michel & Bertrand, Cédric, 2013. "Evaluation of different models to estimate the global solar radiation on inclined surfaces," Renewable Energy, Elsevier, vol. 50(C), pages 710-721.
    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. Petržala, J. & Kómar, L. & Kocifaj, M., 2017. "An advanced clear-sky model for more accurate irradiance and illuminance predictions for arbitrarily oriented inclined surfaces," Renewable Energy, Elsevier, vol. 106(C), pages 212-221.
    2. Chu, Yinghao & Li, Mengying & Coimbra, Carlos F.M., 2016. "Sun-tracking imaging system for intra-hour DNI forecasts," Renewable Energy, Elsevier, vol. 96(PA), pages 792-799.
    3. Gutiérrez-Trashorras, Antonio J. & Villicaña-Ortiz, Eunice & Álvarez-Álvarez, Eduardo & González-Caballín, Juan M. & Xiberta-Bernat, Jorge & Suarez-López, María J., 2018. "Attenuation processes of solar radiation. Application to the quantification of direct and diffuse solar irradiances on horizontal surfaces in Mexico by means of an overall atmospheric transmittance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 93-106.
    4. Markku Järvelä & Seppo Valkealahti, 2020. "Operation of a PV Power Plant during Overpower Events Caused by the Cloud Enhancement Phenomenon," Energies, MDPI, vol. 13(9), pages 1-15, May.
    5. Chen, Shanlin & Li, Chengxi & Xie, Yuying & Li, Mengying, 2023. "Global and direct solar irradiance estimation using deep learning and selected spectral satellite images," Applied Energy, Elsevier, vol. 352(C).
    6. Vamvakas, Ioannis & Salamalikis, Vasileios & Kazantzidis, Andreas, 2020. "Evaluation of enhancement events of global horizontal irradiance due to clouds at Patras, South-West Greece," Renewable Energy, Elsevier, vol. 151(C), pages 764-771.
    7. 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.
    8. Moreno-Tejera, S. & Ramírez-Santigosa, L. & Silva-Pérez, M.A., 2015. "A proposed methodology for quick assessment of timestamp and quality control results of solar radiation data," Renewable Energy, Elsevier, vol. 78(C), pages 531-537.
    9. Pashiardis, S. & Kalogirou, S.A., 2016. "Quality control of solar shortwave and terrestrial longwave radiation for surface radiation measurements at two sites in Cyprus," Renewable Energy, Elsevier, vol. 96(PA), pages 1015-1033.
    10. Tzoumanikas, P. & Nikitidou, E. & Bais, A.F. & Kazantzidis, A., 2016. "The effect of clouds on surface solar irradiance, based on data from an all-sky imaging system," Renewable Energy, Elsevier, vol. 95(C), pages 314-322.
    11. Kalogirou, S.A. & Pashiardis, S. & Pashiardi, A., 2017. "Statistical analysis and inter-comparison of the global solar radiation at two sites in Cyprus," Renewable Energy, Elsevier, vol. 101(C), pages 1102-1123.

    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. Ayvazoğluyüksel, Özge & Filik, Ümmühan Başaran, 2018. "Estimation methods of global solar radiation, cell temperature and solar power forecasting: A review and case study in Eskişehir," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 639-653.
    2. Kostić, Rastko & Mikulović, Jovan, 2017. "The empirical models for estimating solar insolation in Serbia by using meteorological data on cloudiness," Renewable Energy, Elsevier, vol. 114(PB), pages 1281-1293.
    3. Vamvakas, Ioannis & Salamalikis, Vasileios & Kazantzidis, Andreas, 2020. "Evaluation of enhancement events of global horizontal irradiance due to clouds at Patras, South-West Greece," Renewable Energy, Elsevier, vol. 151(C), pages 764-771.
    4. Bouazza Fekkak & Mustapha Merzouk & Abdallah Kouzou & Ralph Kennel & Mohamed Abdelrahem & Ahmed Zakane & Mostefa Mohamed-Seghir, 2021. "Comparative Study of Experimentally Measured and Calculated Solar Radiations for Two Sites in Algeria," Energies, MDPI, vol. 14(21), pages 1-25, November.
    5. Benkaciali, Saïd & Haddadi, Mourad & Khellaf, Abdellah, 2018. "Evaluation of direct solar irradiance from 18 broadband parametric models: Case of Algeria," Renewable Energy, Elsevier, vol. 125(C), pages 694-711.
    6. Gulin, Marko & Pavlović, Tomislav & Vašak, Mario, 2016. "Photovoltaic panel and array static models for power production prediction: Integration of manufacturers’ and on-line data," Renewable Energy, Elsevier, vol. 97(C), pages 399-413.
    7. 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).
    8. Moldovan, Camelia Liliana & Păltănea, Radu & Visa, Ion, 2020. "Improvement of clear sky models for direct solar irradiance considering turbidity factor variable during the day," Renewable Energy, Elsevier, vol. 161(C), pages 559-569.
    9. Turgut Karahüseyin & Serkan Abbasoğlu, 2022. "Performance Loss Rates of a 1 MWp PV Plant with Various Tilt Angle, Orientation and Installed Environment in the Capital of Cyprus," Sustainability, MDPI, vol. 14(15), pages 1-23, July.
    10. Sharma, Vikrant & Chandel, S.S., 2013. "Performance and degradation analysis for long term reliability of solar photovoltaic systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 753-767.
    11. Jahani, Babak & Dinpashoh, Y. & Raisi Nafchi, Atefeh, 2017. "Evaluation and development of empirical models for estimating daily solar radiation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 878-891.
    12. Akarslan, Emre & Hocaoglu, Fatih Onur & Edizkan, Rifat, 2018. "Novel short term solar irradiance forecasting models," Renewable Energy, Elsevier, vol. 123(C), pages 58-66.
    13. Ayodele, T.R. & Ogunjuyigbe, A.S.O., 2015. "Prediction of monthly average global solar radiation based on statistical distribution of clearness index," Energy, Elsevier, vol. 90(P2), pages 1733-1742.
    14. Zou, Ling & Wang, Lunche & Xia, Li & Lin, Aiwen & Hu, Bo & Zhu, Hongji, 2017. "Prediction and comparison of solar radiation using improved empirical models and Adaptive Neuro-Fuzzy Inference Systems," Renewable Energy, Elsevier, vol. 106(C), pages 343-353.
    15. Salazar, Germán & Raichijk, Carlos, 2014. "Evaluation of clear-sky conditions in high altitude sites," Renewable Energy, Elsevier, vol. 64(C), pages 197-202.
    16. Maria Nunez Munoz & Erica E. F. Ballantyne & David A. Stone, 2023. "Assessing the Economic Impact of Introducing Localised PV Solar Energy Generation and Energy Storage for Fleet Electrification," Energies, MDPI, vol. 16(8), pages 1-27, April.
    17. Lukač, Niko & Seme, Sebastijan & Dežan, Katarina & Žalik, Borut & Štumberger, Gorazd, 2016. "Economic and environmental assessment of rooftops regarding suitability for photovoltaic systems installation based on remote sensing data," Energy, Elsevier, vol. 107(C), pages 854-865.
    18. Zhang, Kai & Wang, Dajiang & Chen, Min & Zhu, Rui & Zhang, Fan & Zhong, Teng & Qian, Zhen & Wang, Yazhou & Li, Hengyue & Wang, Yijie & Lü, Guonian & Yan, Jinyue, 2024. "Power generation assessment of photovoltaic noise barriers across 52 major Chinese cities," Applied Energy, Elsevier, vol. 361(C).
    19. Zagouras, Athanassios & Pedro, Hugo T.C. & Coimbra, Carlos F.M., 2015. "On the role of lagged exogenous variables and spatio–temporal correlations in improving the accuracy of solar forecasting methods," Renewable Energy, Elsevier, vol. 78(C), pages 203-218.
    20. Teke, Ahmet & Yıldırım, H. Başak & Çelik, Özgür, 2015. "Evaluation and performance comparison of different models for the estimation of solar radiation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1097-1107.

    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:62:y:2014:i:c:p:459-467. 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.