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[1] Van Boxel, J.H., Modelling Global Radiation for the Portofino Area in Italy, Institute
for Biodiversity and Ecosystem Dynamics IBED, 2002.
[2] Thornton, P.E. & Running, S.W., An improved algorithm for estimating incident daily
solar radiation from measurements of temperature, humidity and precipitation. Agricultural and Forest Meteorology, 93, pp. 211–228, 1999.
[3] Angstrom, A., Solar and terrestrial radiation. Quarterly Journal of the Royal Meteorological Society, 50, pp. 121–125, 1924.
[4] Prescott, J.A., Evaporation from a water surface in relation to solar radiation. Transaction of the Royal Society of South Australia, 64, pp. 114–125, 1940.
[5] Hargreaves, G. & Samani, Z., Estimating potential evapotranspiration. Journal of Irrigation and Drainage Engineering, 108, pp. 225–230, 1982.
[6] Bristow, K. & Campbell, G., On the relationship between incoming solar radiation and
daily maximum and minimum temperature. Agricultural and Forest Meteorology, 31,
[7] Fagbenle, R.O., Estimation of total solar radiation in nigeria using meteorological data.
Nigerian Journal Renewable Energy, 14, pp. 1–10, 1990.
[8] Garcia, J.V., Principios F’isicos de la Climatolog’ia, Ediciones UNALM Universidad
[9] Mahmood, R. & Hubbard, K.G., Effect of time of temperature observation and estimation of daily solar radiation for the northern great plains, USA. Agronomy Journal, 94,
[10] Udo, S.O., Contribution to the relationship between solar radiation and sunshine duration in the topics: a case study of experimental data at Ilorin, Nigeria. Turkish Journal
[11] Akpabio, L.E., Modelling global solar radiation for a tropical location: Onne, Nigeria.
[12] Mubiru, J., Banda, E.J.K.E., D’Ujanga, F. & Senyonga, T., Assessing the performance
of global solar radiation empirical formulations in Kampala, Uganda. Theoretical and
[13] Allen E., Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements, FAO Irrigation and Drainage Paper, 1998.
[14] Folayan, C., Estimation of global solar radiation bound for some nigeria cities. Nigeria
[15] Jacovides, C.P., Statistical procedures for the evaluation of evapotranspiration computing models. Agricultural Water Management, 27, pp. 365–371, 1995.
[16] Almorox, J., Benito, M. & Hontoria, C., Estimation of monthly Angstrom-Prescott
equation coefficients from measured daily data. Renew Energy, 30, pp. 931–936, 2005.
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Open Access
Research article

Estimating Solar Radiation in Ikeja and Port Harcourt via Correlation with Relative Humidity and Temperature

O. T. Kolebaje,
A. Ikusika,
P. Akinyemi
Department of Physics, Adeyemi College of Education, Ondo, Nigeria
International Journal of Energy Production and Management
|
Volume 1, Issue 3, 2016
|
Pages 253-262
Received: N/A,
Revised: N/A,
Accepted: N/A,
Available online: N/A
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Abstract:

Relative humidity and temperature data are more readily available to obtain from observatories than sunshine hour data. In this work, 10 years (1986–1987, 1990–1997) monthly average measurement of relative solar radiation, daily temperature range, relative humidity and the ratio of minimum to maximum temperature were used to establish the coefficient of eight models for estimating solar radiation in Ikeja and Port Harcourt. Coefficient of correlation (R), Mean Bias Error (MBE), Root Mean Square Error (RMSE), Mean Percentage Error (MPE), t-statistic and the rank score were used as performance indicators. In Port Harcourt, the equation producing the best result with MBE, RMSE, MPE and t-statistic value of −0.1078, 0.9850, −0.4373% and 0.3653, respectively, is given by:

$\frac{R_S}{R_0}=3.266-0.306(\overline{R H})^{0.5}$

In Ikeja, the equation producing the best estimation with MBE, RMSE, MPE and t-statistic value of 0.1590, 1.0110, 2.0559% and 0.5281, respectively, is given by:

$\frac{R_S}{{R_0}}=2.042 - 2.136 (ϴ)$

Keywords: Empirical model, Global solar radiation, Relative humidity, Temperature

Data Availability

The data used to support the findings of this study are available from the corresponding author upon request.

Conflicts of Interest

Empirical model, Global solar radiation, Relative humidity, Temperature

References
[1] Van Boxel, J.H., Modelling Global Radiation for the Portofino Area in Italy, Institute
for Biodiversity and Ecosystem Dynamics IBED, 2002.
[2] Thornton, P.E. & Running, S.W., An improved algorithm for estimating incident daily
solar radiation from measurements of temperature, humidity and precipitation. Agricultural and Forest Meteorology, 93, pp. 211–228, 1999.
[3] Angstrom, A., Solar and terrestrial radiation. Quarterly Journal of the Royal Meteorological Society, 50, pp. 121–125, 1924.
[4] Prescott, J.A., Evaporation from a water surface in relation to solar radiation. Transaction of the Royal Society of South Australia, 64, pp. 114–125, 1940.
[5] Hargreaves, G. & Samani, Z., Estimating potential evapotranspiration. Journal of Irrigation and Drainage Engineering, 108, pp. 225–230, 1982.
[6] Bristow, K. & Campbell, G., On the relationship between incoming solar radiation and
daily maximum and minimum temperature. Agricultural and Forest Meteorology, 31,
[7] Fagbenle, R.O., Estimation of total solar radiation in nigeria using meteorological data.
Nigerian Journal Renewable Energy, 14, pp. 1–10, 1990.
[8] Garcia, J.V., Principios F’isicos de la Climatolog’ia, Ediciones UNALM Universidad
[9] Mahmood, R. & Hubbard, K.G., Effect of time of temperature observation and estimation of daily solar radiation for the northern great plains, USA. Agronomy Journal, 94,
[10] Udo, S.O., Contribution to the relationship between solar radiation and sunshine duration in the topics: a case study of experimental data at Ilorin, Nigeria. Turkish Journal
[11] Akpabio, L.E., Modelling global solar radiation for a tropical location: Onne, Nigeria.
[12] Mubiru, J., Banda, E.J.K.E., D’Ujanga, F. & Senyonga, T., Assessing the performance
of global solar radiation empirical formulations in Kampala, Uganda. Theoretical and
[13] Allen E., Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements, FAO Irrigation and Drainage Paper, 1998.
[14] Folayan, C., Estimation of global solar radiation bound for some nigeria cities. Nigeria
[15] Jacovides, C.P., Statistical procedures for the evaluation of evapotranspiration computing models. Agricultural Water Management, 27, pp. 365–371, 1995.
[16] Almorox, J., Benito, M. & Hontoria, C., Estimation of monthly Angstrom-Prescott
equation coefficients from measured daily data. Renew Energy, 30, pp. 931–936, 2005.

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Kolebaje, O. T., Ikusika, A., & Akinyemi, P. (2016). Estimating Solar Radiation in Ikeja and Port Harcourt via Correlation with Relative Humidity and Temperature. Int. J. Energy Prod. Manag., 1(3), 253-262. https://doi.org/10.2495/EQ-V1-N3-253-262
O. T. Kolebaje, A. Ikusika, and P. Akinyemi, "Estimating Solar Radiation in Ikeja and Port Harcourt via Correlation with Relative Humidity and Temperature," Int. J. Energy Prod. Manag., vol. 1, no. 3, pp. 253-262, 2016. https://doi.org/10.2495/EQ-V1-N3-253-262
@research-article{Kolebaje2016EstimatingSR,
title={Estimating Solar Radiation in Ikeja and Port Harcourt via Correlation with Relative Humidity and Temperature},
author={O. T. Kolebaje and A. Ikusika and P. Akinyemi},
journal={International Journal of Energy Production and Management},
year={2016},
page={253-262},
doi={https://doi.org/10.2495/EQ-V1-N3-253-262}
}
O. T. Kolebaje, et al. "Estimating Solar Radiation in Ikeja and Port Harcourt via Correlation with Relative Humidity and Temperature." International Journal of Energy Production and Management, v 1, pp 253-262. doi: https://doi.org/10.2495/EQ-V1-N3-253-262
O. T. Kolebaje, A. Ikusika and P. Akinyemi. "Estimating Solar Radiation in Ikeja and Port Harcourt via Correlation with Relative Humidity and Temperature." International Journal of Energy Production and Management, 1, (2016): 253-262. doi: https://doi.org/10.2495/EQ-V1-N3-253-262
KOLEBAJE O T, IKUSIKA A, AKINYEMI P. Estimating Solar Radiation in Ikeja and Port Harcourt via Correlation with Relative Humidity and Temperature[J]. International Journal of Energy Production and Management, 2016, 1(3): 253-262. https://doi.org/10.2495/EQ-V1-N3-253-262