7-11 July 2014
Africa/Johannesburg timezone
<a href="http://events.saip.org.za/internalPage.py?pageId=16&confId=34"><font color=#0000ff>SAIP2014 Proceedings published on 17 April 2015</font></a>

Analysis of the temperature models for the evaluation of global solar radiation in the coastal and interior regions of South Africa.

11 Jul 2014, 11:10
20m
D Les 103

D Les 103

Oral Presentation Track F - Applied Physics Applied

Speaker

Dr Eric Maluta (University of Venda)

Apply to be<br> considered for a student <br> &nbsp; award (Yes / No)?

No

Level for award<br>&nbsp;(Hons, MSc, <br> &nbsp; PhD)?

NO

Abstract content <br> &nbsp; (Max 300 words)<br><a href="http://events.saip.org.za/getFile.py/access?resId=0&materialId=0&confId=34" target="_blank">Formatting &<br>Special chars</a>

Solar radiation is a crucial parameter in designing solar power devices, installation of solar technologies systems and studying land surface-processes. These data are usually not available for most areas due to the lack of weather stations especially in developing countries. Estimation of global solar radiation (H) from the daily range of air temperature (ΔT) offers an important alternative in the absence of measured H or sunshine duration because of the wide availability of air temperature data. Hargreaves and Samani developed a temperature based model using maximum (Tmax) and minimum (Tmin) temperature data to estimate the global solar radiation, the model is given as, H=H_0 (k_r √∆T), where H0 is the extra-terrestrial radiation kr is the empirical coefficient and ∆T = Tmax – Tmin. They further proposed that the kr values differ from coastal and inland regions by 0.19 and 0.16 respectively. In the current study the validation of kr value has been performed for the coastal and interior regions of South Africa. The average yearly mean bias error (MBE) and root mean square error (RMSE) have been calculated for different stations over the period of five years. The results will be discussed in the presentation.

Would you like to <br> submit a short paper <br> for the Conference <br> Proceedings (Yes / No)?

Yes

Primary author

Dr Eric Maluta (University of Venda)

Co-authors

Mr Fhulufhelo Nemangwele (University of Venda) Mrs Sophie Mulaudzi (University of Venda) Prof. Vaith Sankaran (University of Venda)

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