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Approach to drawing new global solar irradiation contour maps for Argentina

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  • Righini, R.
  • Grossi Gallegos, H.
  • Raichijk, C.

Abstract

Given the shortage of solar irradiation measured data accurate enough to fulfill statistical conditions to be considered representative in time and space, there appeared alternatives for estimating them on the basis of the existing meteorological information, and one of the values used was the number of hours of bright sunshine.

Suggested Citation

  • Righini, R. & Grossi Gallegos, H. & Raichijk, C., 2005. "Approach to drawing new global solar irradiation contour maps for Argentina," Renewable Energy, Elsevier, vol. 30(8), pages 1241-1255.
    • Handle: RePEc:eee:renene:v:30:y:2005:i:8:p:1241-1255
    DOI: 10.1016/j.renene.2004.10.010
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    References listed on IDEAS

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    1. Tiba, Chigueru, 2001. "Solar radiation in the Brazilian Northeast," Renewable Energy, Elsevier, vol. 22(4), pages 565-578.
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    Cited by:

    1. Sarmiento, Nilsa & Belmonte, Silvina & Dellicompagni, Pablo & Franco, Judith & Escalante, Karina & Sarmiento, Joaquín, 2019. "A solar irradiation GIS as decision support tool for the Province of Salta, Argentina," Renewable Energy, Elsevier, vol. 132(C), pages 68-80.
    2. Juanicó, Luis & Dilalla, Nicolás, 2016. "The pulsed-flow design: A new low-cost solar collector," Renewable Energy, Elsevier, vol. 87(P1), pages 422-429.
    3. Almorox, Javier & Bocco, Mónica & Willington, Enrique, 2013. "Estimation of daily global solar radiation from measured temperatures at Cañada de Luque, Córdoba, Argentina," Renewable Energy, Elsevier, vol. 60(C), pages 382-387.
    4. Yang, Dazhi & Gueymard, Christian A., 2019. "Producing high-quality solar resource maps by integrating high- and low-accuracy measurements using Gaussian processes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    5. Ramirez Camargo, Luis & Dorner, Wolfgang, 2016. "Comparison of satellite imagery based data, reanalysis data and statistical methods for mapping global solar radiation in the Lerma Valley (Salta, Argentina)," Renewable Energy, Elsevier, vol. 99(C), pages 57-68.
    6. Salazar, Germán & Checura Diaz, Miguel S. & Denegri, María J. & Tiba, Chigueru, 2015. "Identification of potential areas to achieve stable energy production using the SWERA database: A case study of northern Chile," Renewable Energy, Elsevier, vol. 77(C), pages 208-216.
    7. Yang, Dazhi & Gu, Chaojun & Dong, Zibo & Jirutitijaroen, Panida & Chen, Nan & Walsh, Wilfred M., 2013. "Solar irradiance forecasting using spatial-temporal covariance structures and time-forward kriging," Renewable Energy, Elsevier, vol. 60(C), pages 235-245.
    8. Ceballos, Juan Carlos & Porfirio, Anthony Carlos Silva & Oricchio, Patricio Alberto & Posse, Gabriela, 2022. "Characterization of the annual regime of surface solar irradiance over Argentine Pampean Region using GL1.2 satellite-based data," Renewable Energy, Elsevier, vol. 194(C), pages 526-537.
    9. 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.
    10. Luis Ramirez Camargo & Judith Franco & Nilsa María Sarmiento Babieri & Silvina Belmonte & Karina Escalante & Raphaela Pagany & Wolfgang Dorner, 2016. "Technical, Economical and Social Assessment of Photovoltaics in the Frame of the Net-Metering Law for the Province of Salta, Argentina," Energies, MDPI, vol. 9(3), pages 1-21, February.
    11. Juanicó, Luis E. & Di Lalla, Nicolás & González, Alejandro D., 2017. "Full thermal-hydraulic and solar modeling to study low-cost solar collectors based on a single long LDPE hose," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 187-195.

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