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Evaluation of clear-sky conditions in high altitude sites

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  • Salazar, Germán
  • Raichijk, Carlos

Abstract

The correct assessment of cloud conditions in any site is important for determining the characteristics of solar resource availability. The criterion proposed by Iqbal has been widely used for this purpose, through the classification of the daily clearness index Kt. However, evidence was found to suggest that this criterion may not be applicable to data measured in high altitude sites, because partially cloudy days are incorrectly classified as clear-sky days. This paper analyzes the cloudiness state of the sky by observing the values of the clearness index Kt and the clear-sky index Kc. These indices were obtained from reliable global solar irradiance data measured over a year in three places of Argentina located at different altitudes (25, 1200 and 3700 m.a.s.l). ESRA and ARG-P models were used to estimate daily clear-sky global solar irradiation values Hc. They also reveal that the most probable value of Kc which corresponds to an actual clear-sky day of a particular location and time depends on the model used to estimate the clear-sky global solar radiation values. Thus, it was confirmed that, unlike the index Kc, the Iqbal's criterion does not correctly classify the cloud cover status from data measured in high altitude sites (>1000 m.a.s.l.).

Suggested Citation

  • Salazar, Germán & Raichijk, Carlos, 2014. "Evaluation of clear-sky conditions in high altitude sites," Renewable Energy, Elsevier, vol. 64(C), pages 197-202.
  • Handle: RePEc:eee:renene:v:64:y:2014:i:c:p:197-202
    DOI: 10.1016/j.renene.2013.11.003
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    References listed on IDEAS

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    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. Salazar, Germán A. & Hernández, Alejandro L. & Saravia, Luis R., 2010. "Practical models to estimate horizontal irradiance in clear sky conditions: Preliminary results," Renewable Energy, Elsevier, vol. 35(11), pages 2452-2460.
    3. Liu, Gang & Rasul, M.G. & Amanullah, M.T.O. & Khan, M.M.K., 2012. "Techno-economic simulation and optimization of residential grid-connected PV system for the Queensland climate," Renewable Energy, Elsevier, vol. 45(C), pages 146-155.
    4. Silva, S.B. & Severino, M.M. & de Oliveira, M.A.G., 2013. "A stand-alone hybrid photovoltaic, fuel cell and battery system: A case study of Tocantins, Brazil," Renewable Energy, Elsevier, vol. 57(C), pages 384-389.
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    Cited by:

    1. 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.
    2. Utrillas, M.P. & Marín, M.J. & Esteve, A.R. & Salazar, G. & Suárez, H. & Gandía, S. & Martínez-Lozano, J.A., 2018. "Relationship between erythemal UV and broadband solar irradiation at high altitude in Northwestern Argentina," Energy, Elsevier, vol. 162(C), pages 136-147.
    3. Amrouche, Badia & Le Pivert, Xavier, 2014. "Artificial neural network based daily local forecasting for global solar radiation," Applied Energy, Elsevier, vol. 130(C), pages 333-341.

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