Measurement of global and direct normal solar energy radiation in Seri Iskandar and comparison with other cities of Malaysia

Measurement of global and direct normal solar energy radiation in Seri Iskandar and comparison with other cities of Malaysia

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Journal Pre-proof Measurement of global and direct normal solar energy radiation in Seri Iskandar and comparison with other cities of Malaysia Sanan T. Mohammad, Hussain H. Al-Kayiem, Mohammed A. Aurybi, Ayad K. Khlief PII:

S2214-157X(19)30431-9

DOI:

https://doi.org/10.1016/j.csite.2020.100591

Reference:

CSITE 100591

To appear in:

Case Studies in Thermal Engineering

Received Date: 27 October 2019 Revised Date:

16 January 2020

Accepted Date: 17 January 2020

Please cite this article as: S.T. Mohammad, H.H. Al-Kayiem, M.A. Aurybi, A.K. Khlief, Measurement of global and direct normal solar energy radiation in Seri Iskandar and comparison with other cities of Malaysia, Case Studies in Thermal Engineering (2020), doi: https://doi.org/10.1016/j.csite.2020.100591. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020 Published by Elsevier Ltd.

Author statement Sanan T. Mohammad: Conceptualization, Methodology, Prof Dr. Hussain H. Al-Kayiem: Writing- Reviewing and Editing, Mohammed A. Aurybi: Data curation, Writing- Original draft preparation. Ayad K. Khlief : Visualization, Investigation.

1

Measurement of global and direct normal solar energy radiation in Seri

2

Iskandar and comparison with other cities of Malaysia

3

Sanan T. Mohammad1, 2, Hussain H. Al-Kayiem1* , Mohammed A. Aurybi1 and Ayad K.

4

Khlief1

5

1

Mechanical Engineering Department, Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak, Malaysia

6 2

7

* [email protected]

8 9

Dura thermal power plant, Iraq Ministry of Electricity, Baghdad *

Abstract

10

Potential solar data are an essential tool for successful solar design and application. However,

11

because of the limited availability of solar radiation stations, spatial resolution is affected

12

whenever an attempt to construct a solar radiation map is made. In this paper, actual solar data

13

were acquired in Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Malaysia

14

(4°24´latitude, 100°58´E longitude, 24 m altitude). The measurements of global solar radiation

15

and direct normal radiation were gathered and analyzed for the whole of 2018. In addition to

16

solar data collection, real-time solar radiation, high accuracy, and related meteorological data

17

were also obtained. With one-minute recorded average values the everyday and monthly solar

18

radiation averages were determined. A record of 1068.10 W/m2 as maximum daily global solar

19

radiation and 915 W/m2 for direct normal radiation was observed on 9 September 2018.

20

Discussions on daily and monthly average clearness index differences are also elaborated in this

21

paper. The acquired data were compared with corresponding data obtained from other selected

22

Malaysian cities and the widely usable data resource, the NASA solar energy model and surface

23

meteorology. Investigation of the data indicated that Seri Iskandar obtains an ample amount of

24

global solar radiation, indicating the strong potential for the use of solar energy.

25

Keywords: clearness index; direct normal irradiation; global radiation; Pyranometer; Solar

26

energy.

27

1

28 29

1- Introduction.

30

Obtaining accurate information on the intensity of solar radiation at a given location is essential

31

for the development of solar energy-based projects. This information is utilized in the design,

32

cost analysis, and calculation of the efficiency of a project. As crucial as the assessment of the

33

humidity and temperature data collection for a specific period, assessment of the clearness index

34

of an area is also essential in the feasibility of a solar-driven project [1, 2]. Studies have also

35

shown that insolation, which refers to the incidental solar radiation measured as irradiance (or

36

energy per time unit area or per unit area) is also an important factor [3, 4]. Solar energy is one

37

of the most valuable sources of energy capable of supplying additional energy to the world in the

38

upcoming decades. A study carried out by [5] stated that the monthly average of daily solar

39

radiation in Malaysia is recorded as 4000–5000 Wh/m2. The monthly average of sunshine ranges

40

from four to eight hours or about 2200 hours of sunshine a year [6]. Malaysia’s geographical

41

position provides the opportunity to have abundant solar energy with rich resources such as

42

natural gas. With respect to developing renewable energy technologies in the Malaysian region,

43

the country has the opportunity to utilize this natural energy resource effectively, while ensuring

44

a clean environment. The usage of photovoltaic devices, which is concentrated solar power

45

(CSP) technology, has become more suitable for rural electrification. Moreover, water pumping

46

from walls forms cathodic protection for the pipelines as well as for telecommunications, and for

47

building facades. Solar thermal devices have multiple uses, including sea-water desalination,

48

crop drying, and water heating. Hence, applying the usage of solar energy in the region has

49

significant potential. Global solar radiation distribution has been measured through various

50

regions of Malaysia. Being one of the developing countries, solar radiation measurements are

51

not easily accessible because of high equipment and maintenance costs and calibration

52

requirements of measurement equipment. Several researchers have suggested that an alternative

53

solution towards the stated difficulties is to use a modeling approach for solar radiation [7-14].

54

A number of studies have reported global solar radiation measurements in Malaysian cities [15-

55

23]. Consequently, several models have been proposed and tested to estimate solar energy

56

potential.

2

57

A study by [16] estimated solar radiation in Malaysia for three major cities: Kuala Lumpur,

58

Penang, and Kota Bharu, while using an Angstorm-type regression equation to estimate clear

59

date radiation at the location stated. Sopian and Othman (1992) [17] used a simplified Angstrom

60

model to calculate the monthly average solar radiation on horizontal surfaces in areas including

61

Kuching, Kota Kinabalu, Kota Bharu, Senai, Bayan Lepas, Kuala Lumpur, Petaling Jaya, and

62

Bandar Baru Bangi. Azhari et al. (2008) [22] used two statistical methods to forecast the monthly

63

average daily solar radiation based on meteorological factors, including sunshine hours, relative

64

humidity, total rainfall, and wind speed at Lapangan Terbang Sultan Abdul Aziz Shah Subang.

65

The study employed satellite images to predict solar energy as an alternative method presented

66

by [23] who used the Box-Jenkins method to provide a prediction of global solar radiation at

67

Bangi. Global solar radiation at University Malaysia Terengganu was measured from the year

68

2004 to 2010 by [24]. The study found that the highest monthly mean global solar radiation

69

values on a 24-hour basis were recorded at 314.9 W/m2 and 7556 Wh/m2/day. In the state of

70

Terengganu, the largest value of hourly average solar radiation intensity was recorded at 1139

71

W/m2.

72

A study by Filho et al. (2016) [25] demonstrated the observational characteristics and empirical

73

modeling to estimate the diffused, global, and direct solar radiation in Rio de Janeiro, whereas

74

Wattan and Janjai (2016) [26] investigated 14 radiation models in two cities in Thailand, namely

75

Nakhon Pathom and Ubon Ratchathani, and conducted an analysis of the predicted diffused sky

76

radiation. Another recent study presented the estimation of solar radiation through satellite

77

pictures processing or horizontal ground-based surface measurements with devices, such as

78

pyranometer, at meteorological stations [27-28].

79

Although solar radiation data have been reported in various regions in Malaysia, reliable

80

and year-long global radiation data are still required for the Perak region. Solar data are required

81

to support a project of solar trough power plant model in UTP. Such solar data are essential for

82

the proper design and implementation of the concentration solar power plant (CSPP) in this

83

region in Malaysia.

84

Hence, the objectives of this paper are as follows:

85

(i) To provide and discuss in-site measured global and direct solar radiation to determine the

86

region’s ability for the establishment of CSPPs. 3

87

(ii) To discuss the measured data and compare the mean of 22-year satellite data from the

88

NASA surface meteorology and solar energy model (http://eosweb.larc.nasa.gov/sse/) [29].

89

(iii) To compare the measured global solar radiation with other cities in Malaysia to demonstrate

90

the solar energy potential of the Seri Iskandar region in Perak state.

91

(iv) To predict and discuss the clearance index.

92 93

2- Climate data of study area.

94

Malaysia is situated in the equatorial region and has a tropical climate that is usually warm and

95

humid during the entire year. The diurnal deviation can differ at various locations. Seri Iskandar

96

is located close to Ipoh City at 4° 24' 0" N 100.58° ' 0" E within the state of Perak. In particular,

97

Seri Iskandar has a tropical rainforest climate and the temperature remains almost the same with

98

negligible change. The average temperature of the city is around 30°C. Seri Iskandar also

99

witnesses a high rate of precipitation during the year with an average monthly rainfall of 200 mm

100

(7.9 in) and an average yearly rainfall of 2,427.9 mm (95.59 in). October has the most rainfall,

101

with an average of 297.2 mm (11.70 in) and January is the driest month, with an average rainfall

102

of 132.3 mm (5.21 in) [30]. According to the measurement of global solar radiation in the solar

103

research center at UTP, Ipoh receives an average of 7.0 h of sunshine per day.

104 105

3-Experimental setup and procedure.

106

The measurement station is located at UTP Seri Iskandar, Perak (4°24´latitude, 100°58´E

107

longitude, 24 m altitude), Malaysia. This study was carried out for an entire year (January–

108

December 2018). The direct normal irradiation (DNI) and global solar radiation measurement

109

instruments were set at 5 m above ground level. An EKO Pyrheliometer was used to measure

110

the direct normal irradiation (DNI). The EKO Pyrheliometer is situated at the solar side zone of

111

UTP as displayed in Fig .1(a). This instrument can record maximum irradiance values up to

112

2,000 W/m2 at a typical accuracy of ±0.005%. Its dimensions are (430(W) x 380(D) x 440(H)

113

mm). A two-CMP 11 Pyranometer was also used to measure global solar radiation as shown in

114

Fig .1(b). It was mounted on the roof to avoid being in the shade. Both devices were cleaned 4

115

periodically to check for differences between their readings. Global solar radiation data from the

116

two devices were compared, but no significant differences were noticed. The CMP 11

117

Pyranometer is highly sensitive and hence, data from this machine were used. From the raw data

118

stored for every minute, the mean, maximum, and minimum hourly values were calculated. From

119

the hourly data set, daily and monthly statistics of the solar radiation data were prepared.

120

(a)

121

(b)

122

Fig. 1. (a) EKO Pyrheliometer sun tracking device, (b) CMP 11 Pyranometer in UTP

123

The monthly average daily clearness index was calculated by taking the ratio of the measured

124

global solar insolation to the calculated extraterrestrial horizontal insolation [31]. The values of

125

the monthly average daily extraterrestrial radiation (Ho) were calculated for days, thereby

126

providing the average for each month.

127

Ho was calculated from the following equation [11]:

128







sin sin

cos cos sin





(1)

129

where Isc is the solar constant (=1367 W m−2),

refers to the latitude of the site,

represents the

130

sun declination and ws refers to the mean sunrise hour angle for the given month.

and ws can be

131

computed by the following equations [11,23]:

132 133

23.45 sin 360

284 /365#

,

(2)

where n is the day number of the year starting from 1 January.

5

$ 1

134 135

0.0033 cos

cos ,- − tan



&'( ) &'*

+

(3)

tan

(4)

136

The clearance index could be predicted as follows:

137

1

138

4. Results and discussion.

139

The data clearly show that the average daily and maximum global radiations are higher during

140

the drier seasons and lower during the high rain season. Fig. 2 describes the daily average and

141

daily maximum global solar radiation for the entire year. The graphs demonstrate that the daily

142

maximum global radiation of 1068 W/m2 was recorded on 9 September 2018, and the highest

143

daily average solar radiation of 399 W/m2 was recorded on 4 April 2018. The average daily

144

energy input for the entire year was 20.29 MJ/m2/day, which is consistent with the global solar

145

map [32]. Fig. 2 also demonstrates the downward excursions throughout the year, especially in

146

October, November, and December. These excursions might be because of rain events and

147

higher air mass during these months. The higher air mass caused a reduction in clear sky data by

148

absorption along the longer path length.



2

(5)

23

Global solar radiation[W/m2]

1200 1000 800 600 400 200 0 0

50

100

150

200

250

300

350

400

Day of the year Average

Max

149 150

Fig. 2. Daily averages and daily recorded peaks of global solar radiations throughout the year

151

2018. 6

152

The daily average and maximum direct normal solar irradiation for 2018 are displayed in Fig 3.

153

The highest 24-hour based daily average direct normal solar irradiation of 298.9W/m2 was

154

recorded on 4 April 2018. Maximum direct normal solar irradiation was recorded around 915

155

W/m2 on 9 September 2018. In addition, the amount of direct normal solar irradiation is

156

considerably high particularly from January to July 2018. However, starting August 2018, the

157

line pattern dropped gradually until January next year. More fluctuations and intra-daily

158

variability characterization are observed to occur in the direct normal beam for all months

159

because of cloud covers in Malaysia.

Direct normal irradiation[W/m2]

1200 1000 800 600 400 200 0 0

50

100

150

200 250 Day of the year

Average

300

350

400

Max

160 161

Fig. 3. Daily averages and daily recorded peaks of direct normal irradiations throughout the year

162

2018.

163 164

Fig 4 shows the daily averages for each month, and peak daily global solar radiation for the

165

entire year. The highest monthly average of daily radiation was recorded in February 2018 as

166

282 W/m2/day. Meanwhile, the highest peak in solar radiation was recorded as 1068 W/m2

167

during the month of September. November had the lowest monthly average recordings of solar

168

radiation of 209.2 W/m2/day. Lastly, the error bars in the monthly average mean values of

169

global solar radiation are less than 5%, indicating that significant values were observed

170

throughout the seasonal variation. 7

172

radiation. Long sunshine duration with mostly clear skies led to the high availability of solar

173

energy in these months. Minimum global solar radiation is observed during the rainy season

174

months of August–December because of the heavy fog and precipitation that usually occur

175

during these months. 1200

300

1000

250

800

200

600

150

400

100

200

50

0

0 1

2

3

4

5

6

7

8

9

10

11

12

Average global radiation (W/m2/day)

The dry season months of January–July has high solar energy potential in terms of global solar

Global solar radaition (W/m2)

171

Month of the year Max global radiation

Average global radiation

176 177

Fig. 4. Monthly averages and monthly peaks of daily total global solar radiation.

178

Large time-series data comparison carried out using data from the NASA satellite from

179

[29] to measure the monthly daily values of global solar radiation for Seri Iskandar (MJ/m2/day)

180

and (Assadi et al., 2014) [33] can be found in Table 1. The recorded measurements correlated

181

with the 22-year average global solar radiation of the NASA Surface meteorology and Solar

182

Energy (SSE) model. The SSE Web Mapping Application and Services contain geospatially

183

enabled solar-, meteorology-, and cloud-related parameters formulated for assessing and

184

designing renewable energy systems. The measurements are also compared with the three-year

185

average data obtained by [33].

186

representable.

Hence, the measurements recorded in the year 2018 are

187 188 189 8

190

Table 1 Monthly mean daily values of global solar radiation for Seri Iskandar. Months

Global radiation, H (MJ/m2/day)

Relative differences between the measured and NASA (%)

Relative differences between the measured and Assadi et al (%)

9.3

11

Present measurement

NASA SSE model (22-year average)

January

19.33

17.52

Assadi et al (Average 2010– 2012) 17.18

February

21.37

19.72

20.45

7.7

4.3

March

20.23

19.04

19.29

5.8

4.6

April

19.51

18.97

19.88

2.7

1.8

May

19.21

17.74

18.54

7.6

3.4

June

18.59

17.46

18.53

6.4

1

July

18.34

17.31

18.42

5.6

0.43

August

16.36

16.84

18.46

2.9

12

September

17.47

16.81

18.32

3.7

4.8

October

15.20

16.09

17.63

5.8

15

November

15.08

14.79

16.82

1.9

11.5

December

15.13

14.58

15.48

3.6

2.3

Annual

17.98

17.23

18.25

4.1

1.5

191 192

The table shows that the measured values of the ground-based global solar radiation at Seri

193

Iskandar city are slightly higher than those predicted by the NASA SSE elevation model. The

194

highest value was observed for February as 21.37 MJ/m2-day, whereas the minimum value was

195

observed for the month of November as 15.08 MJ/m2-day. In the month of November, ground-

196

based and NASA data show equal values of global solar radiation with relative differences

197

percentage of 1.9%. The annual average value of global solar radiation for ground-based data is

198

17.98 MJ/m2-day, which is higher than NASA measurements at 17.23 MJ/m2-day.

199

The ground-based solar radiation measurement data obtained under the present study was

200

compared with Assadi et al. (2014) [33] as presented in Table 1. The measured values of the

201

ground-based global solar radiation at Seri Iskandar city are slightly lower than those predicted 9

203

ground-based is 17.98 MJ/m2 /day which is lower than the measurements of 18.25 MJ/m2 /day

204

with annual relative difference percentage of 1.5%.

205

The daily averages of each month and peak daily direct normal solar radiations for 2018 are

206

based on data measured at the solar research site (SRS) as shown in Fig 5. The figure shows that

207

August had the lowest monthly average of daily solar radiation of 120W/m2/day. September had

208

the highest daily peak in direct solar radiation at 915 W/m2. Data from February had the highest

209

monthly average of daily radiation of 191 W/m2/day. 1200

250

1000

200

800

150

600 100

400

50

200 0

Average direct normal irradiation(W/m2/day)

by the model of Assadi et al. (2014). The annual average value of global solar radiation for

Direct normal irradiation (W/m2)

202

0 1

2

3

4

5

6

7

8

9

10

11

12

Month of the year Max direct normal irradiation

Average direct normal irradiation

210 211

Fig. 5. Monthly averages and monthly peaks daily total direct normal irradiation DNI.

212

Table 2 shows the comparison with the monthly mean of the daily values of direct normal solar

213

irradiation for Seri Iskandar (MJ/m2/day) and the NASA SSE model time-series data [29]. Two

214

differences were observed in the measurements:

215

(1) The NASA SSE model measured values for 22 years while the current study measured values

216

for one year, and

217

(2) Weather conditions that vary from year to year have led to minor differences in

218

measurements related to 22-year average global solar radiation data of the NASA SSE model.

219

The measured values of the direct normal irradiance (DNI) at Seri Iskandar city are slightly

220

higher those predicted by the NASA SSE elevation model as observed from Table 2. The 10

221

minimum value was observed for the month of November at 8.6 MJ/m2-day. The highest value

222

was observed for the month of February at 14.92 MJ/m2-day. In the month of August, ground-

223

based and NASA measurements had equal values of DNI with relative differences percentage of

224

0.09 %. The annual average value of DNI for ground-based is 12.08 MJ/m2-day, which is higher

225

than the NASA measurements at 10.99 MJ/m2-day.

226

Table 2: Monthly mean daily values of direct normal solar radiation for Seri Iskandar. Months

Direct normal irradiation, H

Relative differences

(MJ/m2/day)

between the measured

Present

NASA SSE

measurement

model (22-year

and NASA (%)

average) January

13.67

12.91

5.5

February

14.92

13.972

6.3

March

14.19

12.42

12.4

April

14.02

13.71

2.2

May

13.45

12.88

4.2

June

13.21

11.91

9.8

July

12.71

11.44

9.9

August

10.27

10.26

0.09

September

11.47

8.96

21

October

9.72

7.812

19.6

November

8.60

8.42

2

December

8.79

7.23

17.7

Annual

12.08

10.99

8.9

227 228

The reasons behind the differences in present data and those already available can be

229

attributed to two reasons. First, the present data represent measurement of global and direct

230

normal solar energy radiation for one year only, whereas NASA satellite comprised a 22-year

231

average and that of Assadi et al. (2014) [33] spanned two years (2010–2012). Second, the present

232

data are measurements on the ground. However, NASA satellite elevation on earth provides 11

233

results close to reality with error ratio. Assadi et al. (2014) presented a model prediction by

234

MATLAB program that slightly equal to the present data. These reasons validate the solar

235

radiation measurements and confirm the potential of solar energy for the region. Therefore, the

236

ground-based measurements can be utilized to improve the world solar radiation database.

237

The daily values of the monthly mean of Seri Iskandar global solar radiation were

238

compared with several cities in Malaysia (shown in Table 3) as reported by Sopian and Othman

239

(1992) and Muzathik (2013). The table shows clearly that the average monthly global radiation

240

over the course of the year was comparatively good for Seri Iskandar. The annual mean global

241

radiation for recorded for Seri Iskandar was also close to that obtained for the other cities.

242

The monthly average global radiation over the course of the year is comparatively higher for

243

Kota Kinabalu, although in the dry season months, several Malaysian cities had higher values.

244

The peak radiation month in Kota Kinabalu is April (21.64 MJ/m2 day) and the month with the

245

lowest radiation was in January (17.71 MJ/m2 /day). The annual mean global radiation for Seri

246

Iskandar was good as compared with the Malaysian cities. The total annual global solar radiation

247

received in Seri Iskandar on a horizontal surface is about 17.91 MJ/ m2/day. More than 63% of

248

this total is contributed by the dry season months (January to July) and about 37% in August to

249

December. The global solar radiations in the major cities of Malaysia are approximately the

250

same within 7.5%.

251 252 253 254 255 256 257 258

12

259

Table 3: Monthly mean daily values of global solar radiation for Seri Iskandar and other cities

260

for one year (Muzathik, 2013) [24]. Global radiation (MJ/m2/day)

Months

Relative

Seri

Kuala

Kuching

Kota

Kota

differences

Iskandar

Terengganu

(2013)

Kinabalu

Bharu

Between Seri

(2018)

(2013)

(2013)

(2013)

Iskandar And Kota Kinabalu (%)

January

19.33

17.91

12.02

17.71

16.26

8.3

February

21.37

21.60

13.35

19.36

17.72

9.4

March

20.23

21.40

15.39

20.97

19.72

3.6

April

19.51

23.64

13.07

21.64

19.74

10.7

May

19.21

20.34

13.42

20.16

18.23

4.9

June

18.59

17.42

16.28

19.11

17.10

2.8

July

18.34

19.43

16.57

19.41

17.17

5.5

August

16.36

19.15

15.14

19.44

17.42

18.8

September

17.47

20.20

15.79

18.20

18.12

4.1

October

15.20

16.40

15.23

19.21

17.09

26

November

15.08

16.24

14.92

18.08

13.28

19.8

December

15.13

13.38

12.56

18.00

12.15

18.9

Annual

17.91

18.92

14.48

19.27

17.00

7.5

Average 261 262

The daily variation of the clearness index throughout the year in Seri Iskandar is shown

263

in Fig. 6. The figure shows that the variation is within range from 0.2 and 0.9. A variety of

264

conditions contributed to the fluctuation of values throughout the rainy season and clear skies.

265

Fig 7 shows the monthly average clearness index, which varies between 0.45 and 0.55; based on

266

these data, 0.50 as the average clearness index value was approximately measured. During the

13

267

rainy season, both the clearness index and global solar radiation were recorded to be low. When

268

the clearness index is low, the solar radiation energy is reduced dramatically.

Clearness index [K=H/Ho]

1 0.8 0.6 0.4 0.2 0 0

50

100

150

200

250

300

350

400

Day of the year

269

Fig. 6. Daily average clearness index (K) variation. H is the total solar radiation and Ho is the

271

extraterrestrial solar radiation.

Clearness Index

270

1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 1

2

3

4

5

6

7

8

9

10

11

12

Month of the year

272 273

Fig. 7. Monthly average clearness index.

274

Sopian and Othman (1992) and Muzathik (2013) [17,24] have reported the monthly

275

clearness indices of Malaysian cities, such as Kuala Terengganu, Kuching, Kota Kinabalu, and

276

Kota Bharu and have identified Malaysian cities with higher solar energy potential areas, which 14

277

is why we compared these data with the Seri Iskandar monthly mean clearness index (see Table

278

4). The comparison provides evidence that the monthly average clearness index over the course

279

of the year is good for Seri Iskandar, although Kota Kinabalu experiences higher monthly mean

280

clearness index values at certain months. With respect to the current comparison of the climate

281

conditions in various cities, clearness index, direct normal irradiation, and global radiation, Seri

282

Iskandar has been demonstrated to utilize the greatest solar energy.

283

Table 4: Monthly averaged clearness index of Seri Iskandar and other cities compared with data

284

obtained by [17, 24], and NAS SSE [29]

Months

January

Monthly averaged insolation clearness index, K (0–1) NASA SSE Seri model Kuala Kota Iskandar Kuching (22-year Terengganu Kinabalu (measured) average) 0.52 0.48 0.54 0.35 0.55

Kota Bharu 0.51

February

0.55

0.51

0.62

0.38

0.57

0.52

March

0.54

0.51

0.57

0.41

0.56

0.53

April

0.53

0.51

0.64

0.36

0.59

0.54

May

0.52

0.49

0.54

0.37

0.53

0.48

June

0.51

0.5

0.48

0.48

0.53

0.48

July

0.49

0.49

0.53

0.45

0.51

0.45

August

0.47

0.46

0.53

0.41

0.51

0.46

September

0.48

0.45

0.53

0.43

0.50

0.50

October

0.47

0.44

0.44

0.41

0.53

0.47

November

0.45

0.42

0.49

0.41

0.53

0.39

December

0.46

0.43

0.42

0.36

0.54

0.37

Annual

0.50

0.47

0.53

0.40

0.54

0.47

Average 285 286

Malaysia is a tropical country with one season of weather all around the year. Figure (8) shows

287

the temperature with average global radiation. the average temperature in Malaysia is around 32

288



C in the day and around 26 ⁰C in the night with a very small change around the year. There is an 15

289

agreement on the design temperatures of the HVAC system and other solar systems assuming 32

290



C in the daytime and 26 ⁰C in the night time.

35

350

30

300

25

250

20

200

15

150

10

100

5

50

0

0 0

2

4

6

8

10

12

14

Average global radiation(W/m2/day)

Temperature(⁰C)

291

Month of the year T_amb

Average global radiation

292

Fig. 8. Monthly average temperature

293 294 295

Figure (9) describe wind speed during all seasons. Sometimes the result is high the wind speed

296

and sometimes low the wind speed. Again, it is probably caused by the cloudy sky which clouds

297

sometimes suddenly come and disappears. In the rainy season, normally the intensity of the

298

cloud is higher than the dry season. That is why more high wind speed is observed in the rainy

299

season.

16

350

3

300

2.5

250

2

200

1.5

150

1

100

0.5

50

0

0 0

2

4

6

8

10

12

14

Average global radiation(W/m2/day)

Wind speed(m/s)

3.5

Month of the year Wspd

Average global radiation

300

Fig. 9. Monthly average wind speed

301 302 303

4 Conclusions.

304

The Solar Thermal Research Center (STARC) of UTP has decided to implement various solar

305

research projects, hence, this study presents the potential for a project utilizing the global solar

306

radiation and direct normal irradiation of solar energy at Seri Iskandar city, Malaysia. A key for

307

meteorological parameters and its implications is solar radiation and weather conditions. These

308

data are crucial in the design of solar thermal systems (such as solar collectors, desalination

309

systems, and dryers), PV-systems, environment-conscious buildings, and HVAC designs, as well

310

as in the applied aspects of solar radiation, such as human-environment interactions and

311

dynamics of agricultural and biological systems. Data have been used in the design of the CSPP

312

model in STARC. The total solar radiation recorded at Seri Iskandar throughout the period of a

313

year exhibited better potential as compared with other cities in Malaysia. With respect to the

314

data obtained, solar radiation was found to be greater in its average values during the dry season

315

(January to July) as compared with the rainy season (August to December). The current

316

measurement data were compared with NASA SSE model results and are in good agreement. In

317

addition to solar radiation data, the clearness index was also predicted using meteorological data

318

and currently measured data. These data are in good agreement. The predicted clearness index

319

for Seri Iskandar was within values ranging from 0.45–0.55, with yearly average of 0.50. The 17

320

acquired solar data evidently show that Seri Iskandar town gains ample amount of solar radiation

321

and is a good location for solar application and utilization.

322

It is hoped that this study would be of interest to researchers and designers of solar thermal

323

systems. However, further investigations for long term meteorological data from different cities

324

in Malaysia are required to obtain more effective results.

325

Acknowledgment

326

We acknowledge the utmost support from Universiti Teknologi PETRONAS, Malaysia. We also

327

would like to express our appreciation to the Ministry of Higher Education-Malaysia for the

328

financial support of the CSP project under the MyRA grant and utilization of instruments under

329

the [FRGS/1/2015/TK10/UTP/03/2] grant.

330 331 332

References

333

[1] M. Wild, D. Folini, F. Henschel, N. Fischer, B. Muller, Projections of long term changes in

334

solar radiation based on CMIP5 climate models and their influence on energy yields of

335

photovoltaic systems, Sol. Energy 116 (2015) 12-24.

336

[2] L. Cornejo, L. Martín-Pomares, D. Alarcon, J. Blanco, J. Polo, A thorough analysis of solar

337

irradiation measurements in the region of Arica Parinacota, Chile, Renewable Energy 112 (2017)

338

197-208.

339

[3] M. Iqbal, An Introduction to Solar Radiation. Academic Press, New York, 1983.

340

[4] M.D. Islam, I. Kubo, M. Ohadi, A. Alili, Measurement of solar energy radiation in Abu

341

Dhabi, UAE, Applied Energy 86 (2009) 511–515.

342

[5] N. Izadyar, H. Chyuan, W. Tong Chong, J. Mojumder, K. Leong, Investigation of potential

343

hybrid renewable energy at various rural areas in Malaysia, Journal of Cleaner Production 139

344

(2016)139: 61-73.

345

[6] A.M. Muzathik, W.B. Wan Nik, M.Z. Ibrahim and K.B. Samo, Measurement of Global Solar

346

Radiation in Terengganu State, Malaysia. Environmental Science and Technology Conference, 18

347

ESTEC 2009, 7-8 December 2009, Universiti Malaysia Terengganu, Malaysia, Conference

348

Proceeding (2009) 426-431.

349

[7] B. Kadir, Prediction of global solar radiation and comparison with satellite data, Journal of

350

Atmospheric and Solar-Terrestrial Physics 152(2017) 41–49.

351

[8] Mohammad, S. T., Al-Kayiem, H. H., Assadi, M. K., Sabir, O., Khlief, A. K. An integrated

352

program of a stand-alone parabolic trough solar thermal power plant: Code description and test,

353

Case Studies in Thermal Engineering, 12(2018) 26-37.

354

[9] S. Kaplanis, New methodologies to estimate the hourly global solar radiation: comparisons

355

with existing models, Renewable Energy 31(2006) 781-790.

356

[10] S. Kaplanis, A. Kaplain, Model to predict expected mean and stochastic hourly global solar

357

radiation I (h;nj) values, Renewable Energy 32(2007) 1414-1425.

358

[11] S. Zekai, Solar energy fundamentals and modeling techniques: atmosphere, environment,

359

climate change and renewable energy. 1st ed. Springer (2008).

360

[12] Y. Mghouchi, A. El Bouardi, Z. Choulli, T. Ajzoul, Models for obtaining the daily direct,

361

diffuse and global solar radiations, Renewable and Sustainable Energy Reviews 56(2016) 87–99.

362

[13] I. Raptis, S. Kazadzis, B. Psiloglou, N. Kouremeti, P. Kosmopoulos, A. Kazantzidis,

363

Measurements and model simulations of solar radiation at tilted planes, towards the

364

maximization of energy capture, Energy 130 (2017) 570-580.

365

[14] Al-Kayiem. H. H, Aurybi. M. A, Gilani. S.I.U, Ismaeel. A. A, Mohammad. S.T,

366

Performance Evaluation of Hybrid Solar Chimney for Uninterrupted Power Generation, Energy

367

166 (2019) 490-505.

368

[15] D. Chuah, S. Lee, Solar radiation estimate in Malaysia, Solar Energy 26(1981) 33-40.

369

[16] D. Chuah, S. Lee, Solar radiation estimate in peninsula Malaysia - statistical representation,

370

Energy Conversion and Management 22 (1982) 71-84.

371

[17] K. Sopian, M. Othman, Estimates of monthly average daily global solar radiation in

372

Malaysia, Renewable Energy 2 (1992) 319-325.

19

373

[18] H. Li, C. Lam, Solar heat gain factors and the implications for building designs in

374

subtropical regions, Energy and Building 32(2000) 47-55.

375

[19] L. Wong, W. Chow, Solar radiation model, Applied Energy 69 (2001) 191-224.

376

[20] M. Abdul Karim, A. Razali, Forecasting global solar radiation using statistical method,

377

Sains Malaysian 31(2002) 149-158.

378

[21] C. Hu, J. Tick Lim, Solar and net radiation in Peninsular Malaysia, International Journal of

379

Climatology 3(2006) 271-283.

380

[22] A. Azhari, K. Sopian, A. Zaharim, M. Al Ghoul, A new approach for predicting solar

381

radiation in tropical environment using satellite images-case study of Malaysia, WSEAS

382

Transactions on Environment and Development 4(2008) 373-378.

383

[23] A. Zaharim, A. Razali, T. Gim, K. Sopian, Time series analysis of solar radiation data in the

384

tropics, European journal of Scientific Research 25(2009) 672-678.

385

[24] A. Muzathik, Potential of Global Solar Radiation in Terengganu, Malaysia, International

386

Journal of Energy Engineering 3 (2013) 130-136.

387

[25] E. Filho, A. Oliveira, W. Vita, F. Mesquita, G. Codato, J. Escobedo, M. Cassol, J. França,

388

Global, diffuse and direct solar radiation at the surface in the city of Rio de Janeiro:

389

observational characterization and empirical modeling, Renew Energy 91(2016) 64–74.

390

[26] R. Wattan, S. Janjai, An investigation of the performance of 14 models for estimating

391

hourly diffuse irradiation on inclined surfaces at tropical sites, Renew Energy 93(2016)667-74.

392

[27] S. Chaiyapinunt, P. Ruttanasupa, V. Ariyapoonpong, K. Duanmeesook, A shadowing device

393

for measuring diffuse solar radiation on a vertical surface in a tropical zone, Solar Energy

394

136(2016) 629–38.

395

[28] B. Kariuki, T. Sato, Interannual and spatial variability of solar radiation energy potential in

396

Kenya using Meteosat satellite, Renewable Energy 116 (2018) 88-96.

397

[29] http://eosweb.larc.nasa.gov/sse/.

20

398

[30] J. Engel-Cox1, N. Nair, J. Ford, Evaluation of Solar and Meteorological Data Relevant to

399

Solar Energy Technology Performance in Malaysia, Journal of Sustainable Energy &

400

Environment 3(2012) 115-124.

401

[31] R. Kumar, L. Umanand, Estimation of global radiation using clearness index model for

402

sizing photovoltaic system, Renewable Energy 30 (2005) 2221-2233.

403

[32] http://www.solar4power.com/map13-global-solar-power.html

404

[33] M.K. Assadi, A. Abdul Razak, K. Khairul Habib, Solar Energy Potential Estimation in

405

Perak Using Clearness Index and Artificial Neural Network, MATEC Web of Conferences 13

406

(2014) 02015.

407 408

Nomenclature monthly mean extraterrestrial horizontal solar radiation (MJ/m2-day)

409 410 411

is the global solar insolation on a horizontal surface at any location on any given day(MJ/m2day) .

412

solar constant (=1367 W m−2)

413

latitude of the site (degrees)

414

angle of declination (degrees)

415

day of the year

416

mean monthly sunset hour angle (degrees)

21

Declaration of interests ☒ The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.