Public Paper
-
Analysis of Global Solar Radiation Data as Time Series Data for Some Selected Cities of Western Part of Nigeria
ISSN: 2195-1381Publisher: author   
Analysis of Global Solar Radiation Data as Time Series Data for Some Selected Cities of Western Part of Nigeria
View Paper PDF
Abstract
Abstract—Solar radiation is the driving force for a number of solar energy applications such as photovoltaic system for electricity generations. Hence, the determination of solar radiation data through various approaches becomes imperative. In this paper, the Box Jenkins method is applied to global solar radiation data for some western cities of Nigeria. Seasonal autoregressive model of order 1 ARIMA (1,1,0) (1,2,0) and auto regression of order 2 ARIMA (2,1,0) (2,2,0) were tentatively used to model the ground and satellite solar data for Lagos respectively. Like wise ARIMA (0,0,3) (1,1,0) and (2,2,0) (2,1,0) for Ibadan ground & satellite data. ARIMA (2,1,0) (2,2,0) ARIMA (2,0,0) (2,1,0) for Akure ground & satellite data respectively. Ljung- Box statistic, Residual auto-correlation and partial residual autocorrelation plots were used in the diagnostic checking. Using the model it was shown that the model are quiet adequate     Â...
SUBMIT CONCEPT ASK QUESTION
International Category Code (ICC):
ICC-0202
Raji T.a, A.o. Boyo, Mehdi Hedayatshodeh
International Article Address (IAA):
Pending
Paper Profile:
Private
Visitors: 0
Paper Evaluation: Pending
ASI-Factor: 0
Paper Improving: Pending
Paper Flaws: 0
References
Azami: Zaharim, Ahmed M.R, Teep.G and KamaruZZaman Sopian,†Time series Analysis of solar radiation Data in the tropicsâ€, European Journal of Scientific Research, Vol.25 No.4, pp. 672-678, 2009
Almorox, J. & Hontoria, C.,â€Global solar radiation estimation using sunshine duration in Spainâ€, Energy conversion & management, vol45, pp 1529 – 1535, 2004
Bulut, H & Buyiikalaca, O., “Simple model for the generation of daily global solar radiation data in Turkeyâ€, Applied Energy, vol.84,pp 477-491, 2007
Box, G.E.P and Jenkins, G.M,â€Time series Analysis, forecasting and controlâ€, Holden Day, San Francisco, 1970
Box, G.E.P, Jenkins G.M and Reinsel, G.M,†Time series Analysis, forecasting and controlâ€, 3rded., prentice Hall, Englewood Cliffs, 1994.
Bowerman, B.L. O’ Connell, R.T., Koehler A.B., “Forecasting Times Series, and regressionâ€, An Applied Approach 4th Ed., Belmont, C.A: Thomson Learning, 2005.
Chatfield C., “The Analysis of Time Series Theory and practiceâ€, Chapman and Hall, 1975
Chen, R., Lu, S., Kang, E., Yang, J. and Ji, X, “Estimating daily global radiation using two types of revised models in Chinaâ€, Energy Conversion and Management vol.47, pp 865-878, 2006
Diodato, N. & Bellochi, G., “Modelling solar radiation over complex terrains using monthly climatological dataâ€,
Gupta G.B “ An Introduction to Statisticalâ€,Method (9th Revised Edition), (1973).
Grenander U. and Rosenblatt, M.,â€Statistical Analysis of Stationary Time Seriesâ€, John Willey and Sons, New York, 1957.
Agricultural and forest Meteorology vol 144,pp 111-126, 2007
Lam J.C, Wan K.K.W., Lau, C.C.S. and Yang, L.,†Climatic influences on solar modeling inChinaâ€, Renewable Energy. In press, vol .16, 2007.
Paulescu, M., Fara, L. and Tulcan Paulescu, E., “Models for obtaining daily global solar irradiation from air temperature dataâ€. Atmospheric Research ,vol.79, pp27-240, 2006.
Rivington, M., Bellochi, G., Matthews, K.B and Buchan, K., “Evaluation of three model estimations of solar radiation at 24 UK stationsâ€, Agricultural and forest Meteorology, vol. 132, pp228-243, 2005.
Sfetsos, A and Coonick, A.H., “Univariate and multivariate forecasting of hourly solar radiation with artificial intelligence techniquesâ€, Solar Energy vol.68,pp169-178 , 2000.
Tiba, C. and Fraidenraich N. “Analysis of monthly time series of solar radiation and sunshine hour in tropical climatesâ€. Renewable energy vol.29,pp 1147-1160 , 2004.
Thirkettle L- Wheldon’s Business Statistics and Statistical method (9th Edition).
Wu, G. Liu, Y. and Wang T.†Methods and strategy for modeling daily global solar radiation with measured meteorological data- A case study in Nanchang station, Chinaâ€, Energy Conversion and Management vol.48, pp2447-2452, 2007