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Ozean Journal of Applied Sciences 5(3), 2012<br />

Ozean Journal of Applied Sciences 5(3), 2012<br />

ISSN 1943-2429<br />

© 2012 Ozean Publication<br />

RELATIONSHIP BETWEEN THE GLOBAL SOLAR RADIATION AND THE<br />

SUNSHINE DURATION IN ABUJA, NIGERIA<br />

Yakubu D.* <strong>and</strong> Medugu D. W.**<br />

*Federal Ministry of Power, Abuja<br />

**Department of Pure <strong>and</strong> Applied Physics, Adamawa State University, Mubi.<br />

*E-mail address for correspondence: donald.yakubu@ymail.com<br />

____________________________________________________________________________________________<br />

Abstract: In this paper, Angstroms model have been developed to estimate <strong>global</strong> <strong>solar</strong> <strong>radiation</strong> at Abuja, Nigeria.<br />

Correlation <strong>between</strong> measured <strong>and</strong> estimated values of <strong>global</strong> <strong>solar</strong> <strong>radiation</strong> was determined over <strong>the</strong> period of<br />

fifteen years (1991 – 2005). A good agreement was observed <strong>between</strong> <strong>the</strong> measured <strong>and</strong> <strong>the</strong> predicted values. It was<br />

found that utilizing only <strong>the</strong> relative <strong>sunshine</strong> hours <strong>and</strong> <strong>the</strong> location parameters gave <strong>the</strong> best overall estimate of <strong>the</strong><br />

predicted <strong>solar</strong> <strong>radiation</strong>. The regression coefficient a <strong>and</strong> b were found to be 0.30 <strong>and</strong> 0.53 respectively. The<br />

dependency of <strong>the</strong> developed equation was tested in terms of mean bias error (MBE), <strong>and</strong> root mean square error<br />

(RMSE) which were found to have low error values as expected. From <strong>the</strong> result obtained, <strong>the</strong> <strong>solar</strong> <strong>radiation</strong> in<br />

Abuja varies <strong>between</strong> 16.73 MJm -2 day -1 in August to 25.02 MJm -2 day -1 in March throughout <strong>the</strong> seasons of <strong>the</strong> years<br />

with <strong>the</strong> average value being 20.75 MJm -2 day -1 . This can be utilized very efficiently for predicting <strong>the</strong> performance of<br />

<strong>solar</strong> devices in Abuja- Nigeria.<br />

Keywords: Angstroms Model; Global Solar Radiation; Correlation; Regression Coefficient.<br />

______________________________________________________________________________________________<br />

INTRODUCTION<br />

Renewable energy is considered as a key source for <strong>the</strong> future, not only for Abuja, Nigeria but also for <strong>the</strong> world.<br />

This is primarily due to fact that renewable energy resources have some advantages if compared to fossil fuels. They<br />

are, in fact, complementary to each o<strong>the</strong>r <strong>and</strong> can be used effectively alone or in combinations of two or more<br />

renewable energy sources like wind <strong>and</strong> biomass (Salaymeh, 2006).<br />

All human cultures require <strong>the</strong> production <strong>and</strong> use of energy—that is, resources with <strong>the</strong> capacity to produce work or<br />

power. Energy is used for transportation, heating, cooling, cooking, lighting, <strong>and</strong> industrial production (Offiong<br />

2003). In fact, energy is <strong>the</strong> lifeblood of economies around <strong>the</strong> world <strong>and</strong> <strong>global</strong> economic growth depends on<br />

adequate, reliable <strong>and</strong> affordable supplies of energy (Chineke at el, 2007).<br />

221


Ozean Journal of Applied Sciences 5(3), 2012<br />

Solar energy occupies one of <strong>the</strong> most important places among <strong>the</strong> various possible alternative energy sources. It is<br />

<strong>the</strong> energy provided by <strong>the</strong> sun. Nigeria receives abundant <strong>solar</strong> energy that can be usefully harnessed with an annual<br />

average daily <strong>solar</strong> <strong>radiation</strong> of about 5250 Whm -2 day -1 . This varies <strong>between</strong> 3500 Whm -2 day -1 at <strong>the</strong> coastal areas<br />

<strong>and</strong> 7000 Whm -2 day -1 at <strong>the</strong> nor<strong>the</strong>rn boundary. The average amount of <strong>sunshine</strong> hours all over <strong>the</strong> country is about<br />

6.5 hours (Chineke <strong>and</strong> Igwiro, 2008).<br />

The <strong>global</strong> <strong>radiation</strong> is an important parameter necessary for most ecological models <strong>and</strong> an input for different <strong>solar</strong><br />

systems. It is <strong>the</strong> ultimate energy for all ecosystems. Information on <strong>global</strong> <strong>solar</strong> <strong>radiation</strong> received at any site<br />

(preferably gained over a long period) should be useful not only to <strong>the</strong> locality where <strong>the</strong> <strong>radiation</strong> data is collected<br />

but also for <strong>the</strong> wider world community (Akpabio et al, 2002). A <strong>global</strong> study of <strong>the</strong> world distribution of <strong>global</strong><br />

<strong>solar</strong> <strong>radiation</strong> requires knowledge of <strong>the</strong> <strong>radiation</strong> data in various countries <strong>and</strong> for <strong>the</strong> purpose of worldwide<br />

marketing, <strong>the</strong> designers <strong>and</strong> manufacturers of <strong>solar</strong> equipment will need to know <strong>the</strong> average <strong>global</strong> <strong>solar</strong> <strong>radiation</strong><br />

available in different <strong>and</strong> specific regions (Medugu et al, 2011).<br />

Obviously, measured data is <strong>the</strong> best form of this knowledge. Unfortunately, <strong>the</strong>re are very few meteorological<br />

stations that measure <strong>global</strong> <strong>solar</strong> <strong>radiation</strong>, especially in developing countries. For such stations where no measured<br />

data are available, <strong>the</strong> common practice is to estimate <strong>global</strong> <strong>solar</strong> <strong>radiation</strong> from o<strong>the</strong>r measured meteorological<br />

parameters like relative <strong>sunshine</strong> duration. Some works used <strong>the</strong> <strong>sunshine</strong> duration (Menges, 1998) o<strong>the</strong>rs used <strong>the</strong><br />

relative humidity <strong>and</strong> temperature (Layi et al,1994), while o<strong>the</strong>rs used <strong>the</strong> number of rainy days, <strong>sunshine</strong> hours <strong>and</strong><br />

a factor that depends on latitude <strong>and</strong> altitude (Lewiw et al, 1992).There are several correlations available for such<br />

estimation in developing countries (Burari <strong>and</strong> Sambo, 2001).<br />

The objective leading to this paper is to continue in <strong>the</strong> effort to develop predictive techniques for as many regions as<br />

possible to provide a basis for future regional (sub-saharan) iso-<strong>radiation</strong> maps. The correlation developed in this<br />

paper is that suggested by angstroms models type regression equation <strong>and</strong> will <strong>the</strong>n be used to estimate <strong>global</strong> <strong>solar</strong><br />

<strong>radiation</strong> for places where only <strong>sunshine</strong> records are available. Since facilities of recording <strong>global</strong> <strong>solar</strong> <strong>radiation</strong> data<br />

are not easily available probably because of lack of maintenance culture or lack of trained personnel to take<br />

measurements or delay in repair in case of instrument failure. Abuja has been chosen for this paper due to its climatic<br />

condition which varies significantly with <strong>the</strong> season of <strong>the</strong> year.<br />

METHODOLOGY<br />

Abuja, <strong>the</strong> capital of Nigeria, is located in <strong>the</strong> middle of <strong>the</strong> country. Situated on latitude 8°23'N of <strong>the</strong> Equator,<br />

longitude 6°12‘E of <strong>the</strong> Green witch Meridian <strong>and</strong> elevation of about 70m above sea level. Abuja is in tune with<br />

nature with abundant hills, highl<strong>and</strong>s <strong>and</strong> o<strong>the</strong>r distinguishing features that make it a delight to behold.<br />

The <strong>global</strong> <strong>solar</strong> <strong>radiation</strong> <strong>and</strong> <strong>sunshine</strong> duration data presented in this paper were supplied by <strong>the</strong> Nigerian<br />

Meteorological Agency (NIMET), Abuja, Nigeria for <strong>the</strong> period of fifteen years (1991 – 2005).<br />

Various climatic parameters have been used in developing empirical relations for predicting <strong>the</strong> monthly average<br />

<strong>global</strong> <strong>solar</strong> <strong>radiation</strong> (Massaquoi, 1988). Among <strong>the</strong> existing correlations, <strong>the</strong> following relation is <strong>the</strong> generally<br />

accepted modified form of <strong>the</strong> Angstrom-type regression equation, relating <strong>the</strong> monthly average daily <strong>global</strong><br />

<strong>radiation</strong> to <strong>the</strong> average daily <strong>sunshine</strong> hours (Duffie et al, 1994):<br />

<br />

H<br />

<br />

H<br />

0<br />

a b<br />

<br />

S<br />

<br />

S o<br />

Regression Equation (1) has been found to accurately predict <strong>global</strong> <strong>solar</strong> <strong>radiation</strong> in several locations (Rietveld,<br />

1978). Here, <strong>the</strong> monthly average daily <strong>global</strong> <strong>radiation</strong> on a horizontal surface (MJm -2 day -1 ), is <strong>the</strong><br />

monthly average daily extraterrestrial <strong>radiation</strong> on a horizontal surface (MJm -2 day -1 ),<br />

is <strong>the</strong> monthly average daily<br />

1<br />

222


Ozean Journal of Applied Sciences 5(3), 2012<br />

number of hours of bright <strong>sunshine</strong>,<br />

(or day length) <strong>and</strong> a; b are regression constants to be determined.<br />

is <strong>the</strong> monthly average daily maximum number of hours of possible <strong>sunshine</strong><br />

The extraterrestrial <strong>solar</strong> <strong>radiation</strong> on a horizontal surface was calculated from <strong>the</strong> following equation (Duffie et al,<br />

1994)<br />

H<br />

o<br />

<br />

24x3600<br />

I<br />

<br />

sc<br />

dn <br />

2<br />

s <br />

<br />

1<br />

0.033cos360<br />

<br />

sin<br />

sin cos<br />

cos sin s<br />

<br />

365 <br />

360 <br />

<br />

2<br />

where dn is <strong>the</strong> Julian day number, I SC = 1367 Wm -2 is <strong>the</strong> <strong>solar</strong> constant, is <strong>the</strong> latitude of <strong>the</strong> location, is <strong>the</strong><br />

declination angle given as<br />

<strong>and</strong><br />

284 dn <br />

23.45sin360<br />

<br />

3<br />

365 <br />

is <strong>the</strong> sunset hour angle given as<br />

<br />

<br />

cos 1 tan<br />

tan<br />

The maximum possible <strong>sunshine</strong> duration is given by (Akpabio, 1992):<br />

<br />

2 <br />

2<br />

S cos<br />

1<br />

o<br />

<br />

tan<br />

tan<br />

<br />

5<br />

15<br />

15<br />

In this paper, <strong>and</strong> were computed for each month by using Equations (2) <strong>and</strong> (5), respectively. The regression<br />

coefficients a <strong>and</strong> b in Equation (1) have been calculated from values of <strong>and</strong> . The values of <strong>the</strong> monthly<br />

average daily <strong>global</strong> <strong>radiation</strong><br />

<strong>and</strong> <strong>the</strong> average number of hours of <strong>sunshine</strong> were obtained from daily<br />

measurements covering a period of 15 years. The regression coefficient a <strong>and</strong> b have been obtained from <strong>the</strong><br />

<strong>relationship</strong> given as (Tiwari et al, 1997):<br />

a 0.110<br />

0.235cos<br />

0.323( S / S<br />

b 1.449 0.553cos<br />

0.694( S / S<br />

To compute estimated values of <strong>the</strong> monthly average daily <strong>global</strong> <strong>radiation</strong>, e , <strong>the</strong> values of a <strong>and</strong> b were used in<br />

Equation (1).The deviation <strong>between</strong> <strong>the</strong> estimated <strong>and</strong> measured values was determined using <strong>the</strong> following<br />

statistical parameters (Nguyen et al, 1997):<br />

o<br />

)<br />

o<br />

)<br />

H <br />

4<br />

6<br />

Mean Bias Error (MBE);<br />

MBE <br />

Root Mean Bias Error (RMBE);<br />

N<br />

i<br />

1<br />

<br />

<br />

H<br />

<br />

m<br />

<br />

H<br />

N<br />

e<br />

<br />

<br />

<br />

8<br />

9<br />

RMBE<br />

<br />

N<br />

i<br />

1<br />

<br />

<br />

H<br />

<br />

m<br />

<br />

H<br />

N<br />

e<br />

2<br />

<br />

<br />

<br />

223


Ozean Journal of Applied Sciences 5(3), 2012<br />

Where i = 1, 2, 3,……..,N <strong>and</strong> N was <strong>the</strong> total number of observation points;<br />

monthly average daily <strong>global</strong> <strong>radiation</strong> .<br />

H <br />

m<br />

, is <strong>the</strong> measured values of <strong>the</strong><br />

The calculated <strong>and</strong> measured valued of average daily <strong>global</strong> <strong>radiation</strong> on <strong>the</strong> horizontal surface were compared. The<br />

results are as shown in Tables 1.<br />

RESULTS AND DISCUSSION<br />

The average numbers of hours of <strong>sunshine</strong> were obtained from daily measurements covering a period of 15 years.<br />

From Table 1, <strong>the</strong> overall average clear index ( ) was computed <strong>and</strong> substituted into equation 6 to obtained <strong>the</strong><br />

values of <strong>the</strong> regression coefficients a <strong>and</strong> b as 0.30 <strong>and</strong> 0.53 respectively. The values of a <strong>and</strong> b were substituted<br />

into equation 1 which gives <strong>the</strong> model for computing <strong>the</strong> estimated <strong>global</strong> <strong>solar</strong> <strong>radiation</strong> shown in Table 1.<br />

The RMSE, which is a measure of accuracy of estimation, was found to be 3.58% as low as expected. The<br />

correlation <strong>between</strong> measured <strong>and</strong> estimated <strong>global</strong> <strong>solar</strong> <strong>radiation</strong> at Abuja is shown in Table 1. It is indicated that<br />

our model is suitable for <strong>the</strong> estimation of monthly average daily <strong>global</strong> <strong>radiation</strong>, from monthly average daily<br />

<strong>sunshine</strong> hours in <strong>the</strong> guinea savannah climatic zone of Nigeria. It is observed from <strong>the</strong> results that <strong>the</strong> percentage<br />

error <strong>between</strong> <strong>the</strong> measured <strong>and</strong> predicted values rarely exceeds 11.16% <strong>and</strong>, in general, is very low as expected.<br />

Table 1: Monthly Mean Values of Daily Global Solar Radiation <strong>and</strong> <strong>the</strong> Meteorological Parameters<br />

for Abuja for <strong>the</strong> Period of ten years (1991 – 2005)<br />

Month (hr) (hr)<br />

Error %<br />

(MJm -2 day -1 ) (MJm -2 day -1 ) (MJm -2 day -1 )<br />

Jan<br />

6.62<br />

11.52<br />

0.57<br />

32.02<br />

21.78<br />

19.35<br />

11.16<br />

Feb<br />

7.71<br />

11.55<br />

0.67<br />

32.13<br />

23.14<br />

21.01<br />

9.2<br />

Mar<br />

9.63<br />

11.69<br />

0.82<br />

33.96<br />

25.61<br />

25.02<br />

2.32<br />

Apr<br />

8.17<br />

11.91<br />

0.69<br />

36.06<br />

23.53<br />

23.93<br />

-1.7<br />

May<br />

7.23<br />

12.15<br />

0.60<br />

37.08<br />

21.67<br />

22.82<br />

-5.31<br />

Jun<br />

6.32<br />

12.35<br />

0.51<br />

36.85<br />

19.46<br />

21.05<br />

-8.17<br />

Jul<br />

4.44<br />

12.47<br />

0.36<br />

36.47<br />

15.74<br />

17.82<br />

-13.21<br />

Aug<br />

3.61<br />

12.45<br />

0.29<br />

36.87<br />

14.92<br />

16.73<br />

-12.13<br />

Sep<br />

4.39<br />

12.30<br />

0.36<br />

37.80<br />

18.04<br />

18.49<br />

-2.49<br />

Oct<br />

5.71<br />

12.08<br />

0.47<br />

37.97<br />

19.69<br />

20.9<br />

-6.15<br />

Nov<br />

6.20<br />

11.84<br />

0.52<br />

37.47<br />

22.43<br />

21.64<br />

3.52<br />

Dec<br />

6.53<br />

11.64<br />

0.56<br />

33.90<br />

21.22<br />

20.25<br />

4.57<br />

224


Ozean Journal of Applied Sciences 5(3), 2012<br />

Figure 1: Monthly Average Global Radiation; Comparison Between <strong>and</strong> for Abuja (1991 – 2005).<br />

Figure 2: Monthly Average Global Radiation; Variation of Estimated Global <strong>radiation</strong> for Abuja (1991 –<br />

2005).<br />

225


Ozean Journal of Applied Sciences 5(3), 2012<br />

Figure 3: Monthly Average Sunshine Duration; Variation of Sunshine Hours for Abuja (1991 – 2005).<br />

Figure 1 shows that in <strong>the</strong> overall average years (1991 - 2005), <strong>the</strong>re were two maxima (major <strong>and</strong> minor) <strong>and</strong> two<br />

corresponding minima (major <strong>and</strong> minor). The major maximum occurred <strong>between</strong> February-April during <strong>the</strong> dry<br />

season <strong>and</strong> <strong>the</strong> minor maximum occurred <strong>between</strong> November-January. In <strong>the</strong> rainy season (May-October), we have<br />

<strong>the</strong> major minima in <strong>the</strong> months of July-August. While <strong>the</strong> minor minima was in <strong>the</strong> month of January due to <strong>the</strong><br />

harmattan dust haze that covers <strong>the</strong> atmosphere at that period of <strong>the</strong> year.<br />

The peak month, March, with of 25.02 MJm -2 day -1 contributed 10.05% <strong>and</strong> <strong>the</strong> least month, August, with of<br />

16.73 MJm -2 day -1 contributed 6.72% of <strong>the</strong> annual total of <strong>the</strong> estimated <strong>global</strong> <strong>radiation</strong>. The result also shows that<br />

<strong>the</strong> <strong>global</strong> <strong>solar</strong> ir<strong>radiation</strong> value for Abuja-Nigeria is <strong>between</strong> 16.73 MJm -2 day -1 <strong>and</strong> 25.02 MJm -2 day -1 as observed<br />

in Figure 2.<br />

Figure 2 also indicates <strong>the</strong> trend of <strong>global</strong> <strong>solar</strong> ir<strong>radiation</strong> at Abuja, with high values during <strong>the</strong> dry season. While<br />

minimum ir<strong>radiation</strong> is obtained during <strong>the</strong> rainy season, as <strong>the</strong> rain bearing clouds pervade <strong>the</strong> sky.<br />

Finally, in Figure 2 <strong>and</strong> 3, <strong>the</strong> monthly variation of <strong>global</strong> <strong>solar</strong> <strong>radiation</strong> <strong>and</strong> <strong>sunshine</strong> duration have same trends<br />

where <strong>the</strong> maximum values each mentioned parameter were observed in March <strong>and</strong> <strong>the</strong> minimum in August. From<br />

Table 1, <strong>the</strong> formulae of empirical models investigated in <strong>the</strong> present paper can be written as follows:<br />

<br />

H<br />

<br />

H<br />

0<br />

0.30 0. 53<br />

<br />

S<br />

<br />

S o<br />

226


Ozean Journal of Applied Sciences 5(3), 2012<br />

CONCLUSION<br />

The Angstrom related form of correlation equations have been developed for Abuja - Nigeria. This equation will in<br />

no small measure help in predicting <strong>the</strong> <strong>solar</strong> <strong>radiation</strong> in this area. It will go a long way in estimating <strong>the</strong> <strong>solar</strong><br />

<strong>radiation</strong> in any part of <strong>the</strong> guinea savannah climatic zone of Nigeria because of its agreement with measured data.<br />

Since facilities of recording <strong>global</strong> <strong>solar</strong> <strong>radiation</strong> data are not easily available probably because of lack of<br />

maintenance culture or lack of trained personnel to take measurements or delay in repair in case of instrument<br />

failure, this equation can be used with ease <strong>and</strong> trust.<br />

The <strong>global</strong> <strong>solar</strong> <strong>radiation</strong> at Abuja exhibits monthly <strong>and</strong> seasonal variation, with two maxima (major <strong>and</strong> minor) in<br />

February, March, April, <strong>and</strong> November <strong>and</strong> December, respectively. While in <strong>the</strong> months of July, August <strong>and</strong><br />

January, we have <strong>the</strong> minima (major <strong>and</strong> minor) variations, respectively.<br />

This gives credence to two types of <strong>global</strong> <strong>solar</strong> <strong>radiation</strong> at <strong>the</strong> location. First, <strong>the</strong> high ir<strong>radiation</strong> values in <strong>the</strong> dry<br />

season associated with long duration of <strong>sunshine</strong> hours (above 6 hours/day) <strong>and</strong> less cloudy skies. Second, <strong>the</strong> low<br />

ir<strong>radiation</strong> values are in <strong>the</strong> rainy season (when <strong>the</strong> rain bearing clouds pervade <strong>the</strong> sky) associated with least<br />

<strong>sunshine</strong> hour (less than 5 hours/day).<br />

Finally <strong>the</strong> monthly average of <strong>global</strong> <strong>solar</strong> <strong>radiation</strong> in Abuja varies <strong>between</strong> 16.73 MJm -2 day -1 in August to 25.02<br />

MJm -2 day -1 in March throughout <strong>the</strong> seasons of <strong>the</strong> years (rainy <strong>and</strong> dry season) with <strong>the</strong> average value being 20.75<br />

MJm -2 day -1 . This can be utilized very efficiently for predicting <strong>the</strong> performance of <strong>solar</strong> devices in Abuja- Nigeria.<br />

REFERENCE<br />

Akpabio, L.E. (1992): Comparison <strong>between</strong> <strong>solar</strong> <strong>radiation</strong> energy <strong>and</strong> <strong>the</strong> characteristic of Wind power calculations<br />

in South eastern Nigeria. Nig. J. Phys., 4, 15{20}.<br />

Burari, F.W., Sambo, A.S., <strong>and</strong> Mshelia, E.D. (2001): ―Estimation of Global Solar Radiation in Bauchi‖. Nigerian<br />

Journey of Renewable Energy. 9: 34 – 36.<br />

Chineke, T.C <strong>and</strong> Igwiro, E.C. (2008): Urban And Rural Electrification: Enhancing <strong>the</strong> Energy Sector in Nigeria<br />

Using Photovoltaic Technology. African Jour Science <strong>and</strong> Tech Vol. 9, No. 1, pp. 102 – 108<br />

Chineke, T.C. <strong>and</strong> Nwofor, O.K. (2007): A Solar-Wind-Tide Scheme for Renewable Electricity production in<br />

Nigeria. Advances Science & Tech. 1(2/3): 78-86.<br />

Duffie, J.A. <strong>and</strong> Beckman, W.A. (1994): Solar Engineering of <strong>the</strong>rmal Processes, 2nd Edn. John Wiley, New York.<br />

Layi Fagbenel (1994): ‗Evaluation of Global <strong>and</strong> Diffuse Solar Ir<strong>radiation</strong> in Ibadan from Specific Humidity <strong>and</strong><br />

relative Sunshine‘ International Journal of Ambient Energy, Vol. 15, N°2.<br />

Lewiw, G. (1992): ‗An Empirical Relation for Estimating Global Ir<strong>radiation</strong> for Tennesse‘, Solar Energy<br />

Conversion <strong>and</strong> Management, Vol. 33, N°12.<br />

Massaquoi, J.G.M. (1988): Global <strong>solar</strong> <strong>radiation</strong> in Sierra Leone (West Africa). SolarWind Technol., 5, 281{283}.<br />

Medugu, D.W <strong>and</strong> Yakubu D. (2011): Estimation of Mean Global <strong>solar</strong> Radiation in Yola – Nigeria, Advances in<br />

Applied Science Research, 2 (2): 414-421.<br />

Menges, H.O., Ertekin, C. <strong>and</strong> Sonmete, M.H. (2006): Evaluation of <strong>global</strong> <strong>solar</strong> <strong>radiation</strong> models for Konya,<br />

Turkey. Energ. Convers. Manage., 47:3149-3173.<br />

227


Ozean Journal of Applied Sciences 5(3), 2012<br />

Nguyen, B.T. <strong>and</strong> Pryor, T. L. (1997): The <strong>relationship</strong> <strong>between</strong> <strong>global</strong> <strong>solar</strong> <strong>radiation</strong> <strong>and</strong> <strong>sunshine</strong> duration in<br />

Vietnam. Renewable Energy, II, 47 {60}.<br />

Offiong, A. (2003): Assessing <strong>the</strong> Economic <strong>and</strong> Environmental Prospects of st<strong>and</strong>-By <strong>solar</strong> powered systems in<br />

Nigeria. J. of Applied Sci. <strong>and</strong> Environmental Management, 7(1): 37-42.<br />

Rietveld, M.R. (1978): A new method for estimating <strong>the</strong> regression coe_cients in <strong>the</strong> formula relating <strong>solar</strong> <strong>radiation</strong><br />

to <strong>sunshine</strong> Agricultural Meteorology, 19, 243{252}.<br />

Salaymeh, A., (2006): Modeling of <strong>global</strong> <strong>solar</strong> <strong>radiation</strong> on horizontal surface for Amman. Emirates J. Eng. Res.,<br />

11: 49-56.<br />

Tiwari, R.F <strong>and</strong> Sangeeta, T.H. (1997): Solar Energy. 24(6) pp. 89 – 95.<br />

Turton, S.M. <strong>the</strong> <strong>relationship</strong> <strong>between</strong> total ir<strong>radiation</strong> <strong>and</strong> <strong>sunshine</strong> duration in <strong>the</strong> humid tropics. Solar energy, 38,<br />

(1987), 353 {354}.<br />

228

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