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A new methodology to extend the validity of the Hargreaves-Samani model to estimate global solar radiation in different climates: Case study Mexico

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  • Rivero, M.
  • Orozco, S.
  • Sellschopp, F.S.
  • Loera-Palomo, R.

Abstract

This work presents a modification to the model proposed by Hargreaves and Samani, based on daily temperature difference, to estimate daily global solar radiation. This is done by analyzing the relation between daily temperature increments and the fitting parameter in the model. Six different climates and four day types have been considered. Day classification was done in accordance to the daily clearness index. The proposed model was validated on a database that comprises 47 stations distributed in Mexico.

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  • Rivero, M. & Orozco, S. & Sellschopp, F.S. & Loera-Palomo, R., 2017. "A new methodology to extend the validity of the Hargreaves-Samani model to estimate global solar radiation in different climates: Case study Mexico," Renewable Energy, Elsevier, vol. 114(PB), pages 1340-1352.
    • Handle: RePEc:eee:renene:v:114:y:2017:i:pb:p:1340-1352
    DOI: 10.1016/j.renene.2017.08.003
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    Cited by:

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    3. Jiaojiao Feng & Weizhen Wang & Jing Li, 2018. "An LM-BP Neural Network Approach to Estimate Monthly-Mean Daily Global Solar Radiation Using MODIS Atmospheric Products," Energies, MDPI, vol. 11(12), pages 1-14, December.
    4. Bellido-Jiménez, Juan Antonio & Estévez Gualda, Javier & García-Marín, Amanda Penélope, 2021. "Assessing new intra-daily temperature-based machine learning models to outperform solar radiation predictions in different conditions," Applied Energy, Elsevier, vol. 298(C).
    5. Buenfil Román, V. & Espadas Baños, G.A. & Quej Solís, C.A. & Flota-Bañuelos, M.I. & Rivero, M. & Escalante Soberanis, M.A., 2022. "Comparative study on the cost of hybrid energy and energy storage systems in remote rural communities near Yucatan, Mexico," Applied Energy, Elsevier, vol. 308(C).
    6. Hoyos-Gómez, Laura S. & Ruiz-Muñoz, Jose F. & Ruiz-Mendoza, Belizza J., 2022. "Short-term forecasting of global solar irradiance in tropical environments with incomplete data," Applied Energy, Elsevier, vol. 307(C).
    7. Zang, Haixiang & Cheng, Lilin & Ding, Tao & Cheung, Kwok W. & Wang, Miaomiao & Wei, Zhinong & Sun, Guoqiang, 2020. "Application of functional deep belief network for estimating daily global solar radiation: A case study in China," Energy, Elsevier, vol. 191(C).
    8. Dariusz Czekalski & Paweł Obstawski & Tomasz Bakoń, 2020. "Possibilities to Estimate Daily Solar Radiation on 2-Axis Tracking Plane Using a Model Based on Temperature Amplitude," Sustainability, MDPI, vol. 12(23), pages 1-19, November.

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