Document not found! Please try again

Transmittance optimization of solar array encapsulant

0 downloads 0 Views 1MB Size Report
Dec 19, 2017 - where is the solar absorptivity of solar array, is the direct solar radiation .... Kyocera module, which allows the efficiency to be described as a ...
Missing:
Accepted Manuscript Transmittance optimization of solar array encapsulant for high-altitude airship

Weiyu Zhu, Huafei Du, Lanchuan Zhang, Yuanming Xu, Jun Li PII:

S0960-1481(18)30263-5

DOI:

10.1016/j.renene.2018.02.111

Reference:

RENE 9842

To appear in:

Renewable Energy

Received Date:

12 September 2017

Revised Date:

19 December 2017

Accepted Date:

24 February 2018

Please cite this article as: Weiyu Zhu, Huafei Du, Lanchuan Zhang, Yuanming Xu, Jun Li, Transmittance optimization of solar array encapsulant for high-altitude airship, Renewable Energy (2018), doi: 10.1016/j.renene.2018.02.111

This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. 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.

ACCEPTED MANUSCRIPT

Transmittance optimization of solar array encapsulant for

1

high-altitude airship

2 3

Weiyu Zhu a, Huafei Du a, Lanchuan Zhang a, Yuanming Xu a, Jun Li b*

4

a School

of Aeronautic Science and Engineering, Beihang University, 37 Xueyuan Road, Beijing

5

100191, PR China

6

b School

of Aeronautics and Astronautics, Central South University, Changsha 410083, PR China

7 8

Abstract

9

The efficiency of solar cell is a critical problem to the energy management of high-altitude airship.

10

Excessive temperature and solar radiation intensity of solar cell will reduce the cell efficiency. The

11

main purpose of this study is to increase the energy output of solar array through optimizing

12

transmittance of solar array encapsulant. The thermal and heat transfer models of solar array were

13

considered during the investigation of the effect of transmittance on output performance of solar array.

14

And the optimization model of transmittance is presented to obtain the optimum transmittance in

15

different working conditions for the first time. The feasibility of the numerical model is verified by

16

comparison with experimental data of the temperature of solar array during a day. The results indicate

17

that the output performance of solar array is variable under different transmittances and the optimum

18

transmittance of solar array is changing with the working latitude and date. The simulation results show

19

that the maximum increase of output energy can reach up to 0.5 MJ on summer solstice. The

20

optimization study provides both theoretical and practical support for choosing optimal encapsulant

21

materials in the preparation stage of high-altitude airship.

22

Key words:

23

Optimum transmittance; Solar array; Energy; High-altitude airship; Thermal effect Nomenclature A

=

the area, m2

c

=

specific heat capacity

D

=

the maximum diameter of airship, m

* Corresponding authors at: School of Aeronautics and Astronautics, Central South University, Changsha 410083, PR China. E-mail address: [email protected] (J. Li). 1

ACCEPTED MANUSCRIPT Etotal =  = G  = ne

the total energy output of solar array per day, J

hfree

free convection heat transfer coefficient

=

the vector of gravity direction normal vector of a element

hforce =

force convection heat transfer coefficient

Id

=

the direct solar irradiance, W/m 2

If

scattered radiation, W/m 2

ks

= =

ke

=

thermal conductivity of airship envelope

kair l

= =

atmospheric thermal conductivity the axial coordinate of the profile of airship, m

L

=

total length of the airship, m

m

=

the masses, kg

=

the vector of solar direct radiation

=

the normal vector of the element i

 ns  ni

thermal conductivity of solar array

Nuair =

the free convection Nusselt number

P

=

device specific parameters related to the type of solar cell

Q

=

total radiation on solar array, W

Qpow =

output power of solar array, W

QT

=

the heat power of solar array, W

QS

=

solar incident radiation, W

QE

=

radiation from the earth, W

Qinf

=

infrared radiation heat loss, W

Qcon

=

convective and conductive heat transfer loss, W

Qd

=

solar direct radiation, W

Qf

=

diffuse radiation, W

Qsun2 =

incident radiation to the solar cell layer, W

r

=

the equivalent rotary radius of airship, m

re

=

the solar reflectivity

ts

=

the thickness of solar array, m

te

=

the thickness of airship envelope, m

τ

=

time, s

Ts,i

=

the temperature of solar array element, K

Tatm

=

the temperature of atmosphere, K

µair

=

atmospheric dynamic viscosity, m/s

w

=

the relative velocity between the airship and the flowing air, m/s



=

the solar absorptivity of solar array

  ele

=

the rotation angle of the generatrix, degrees

=

solar elevation angle, degrees

i

=

the included angle between the normal vector of the element and the vector of gravity

direction

i

=

the included angle between the normal vector of the element and the vector of solar 2

ACCEPTED MANUSCRIPT irradiation, degrees



=

the infrared reflectivity of solar array

 i

=

Stefan–Boltzmann constant value,  = 5.67e-8 W/(m2·K4)

=

view factor to the sky

SC

=

conversion efficiency of solar cell



=

the transmittance of encapsulant material

24 25

1. Introduction

26

As significant potential in the areas of telecommunications, Navigation system and Earth observation

27

sciences, the researches of high-altitude airships have developed rapidly [1-3]. But the challenge of

28

energy supply is a significant limitation to the requirement of long-endurance missions [4]. The flight

29

of high-altitude airship depends almost on solar power during the day, the energy consumption of

30

onboard devices and payload also come from solar array [5, 6]. Therefore, the interest of solar array

31

has grown immensely in the study of energy management of high-altitude airship.

32

In the past decades, the researches about feasibility and viability of solar array used in high-altitude

33

airship have been carried out. Knaupp et al. [7] investigated the high-altitude airship persistence

34

through exploring solar regenerative and non-regenerative power systems and listed several

35

advantageous features of solar powered airship. Naito et al. [8] studied power system requirements of

36

high-altitude airship and the feasibility of the solar power system for the airship. Colozza et al. [9]

37

identified the feasibility of a high-altitude airship combining environmental conditions and state of the

38

power and propulsion technologies.

39

Based on the researches of scholars, it is certain that solar array on the airship can provide enough

40

energy to drive the vehicle. But the performance of solar array is influenced by complex thermal

41

environment during the operation process of high-altitude airship [10]. To investigate the effect of the

42

output performance of solar array, the thermal performances of high-altitude airship were analyzed

43

first by some researchers. Wang and Yang [11] presented an effective and economical approach to

44

analyze thermal state of stratospheric airship considering environmental thermal sources. In that study,

45

a novel computational model for analyzing the airship’s transient thermal performance under different

46

environmental conditions was also developed. Wang and Liu [12] achieved temperature distributing

47

situations of airship taking into account some influential factors such as solar radiation and wind speed 3

ACCEPTED MANUSCRIPT 48

through numerical simulation. Li and Xia [13] conducted experimental investigation of the thermal

49

characteristics of airships and the transient temperature distributions of hull, the results show that solar

50

radiation and airflow have significant influences on the airship envelope temperature.

51

Depending on the efforts have been made on the thermal conditions of high-altitude airship, the

52

thermal characteristic and output performance of solar array on the airship were discussed in a recent

53

study. Wang and Song [14] presented a computation method for solar radiation on solar array of high-

54

altitude airship, and studied the effect of the airship’s attitude on the performance of its energy system.

55

Li et al. [15, 16] investigated the thermal performance of stratospheric airship and the output

56

performance of solar panel with thermal effect through a simplified numerical model. Li and Lv [17]

57

compared the output performance of solar array on stratospheric airship with and without thermal

58

effect, and mentioned the effects of the transmittance of solar array encapsulant on output performance

59

of solar array. It can be seen that these investigations studying various influence factors of the output

60

performance of solar array are propitious to improve the energy management of high-altitude airship in

61

different working conditions. To reduce the required area of solar array of high-altitude airship, Garg et

62

al. [18] proposed an optimization method by maximizing the energy produced per unit square meter of

63

the solar array. Li and Lv [19] obtained the minimum area of solar array on high-altitude airship under

64

the premise of enough output power and analyses the change of minimum area in different effect

65

factors. Except by optimizing the areas of solar array on airship, the solar energy management can also

66

be improved by selecting the suitable component of solar array.

67

Although these investigations involving optimizing the areas of solar array are valuable to

68

improve solar energy management of high-altitude airship, the method of optimizing the transmittance

69

of solar array encapsulant to promote output energy do not receive enough attention. Encapsulant

70

material in a Photovoltaic module is an essential component used for providing protection of cells from

71

moisture, foreign impurities and mechanical damage. In addition, Notteand Polino et al. [20]

72

investigated the influence of encapsulation material and method on the optical and electrical

73

performances of flexible polymer solar cells. Hasan and Arif [21] developed structural, thermal and

74

electrical model to determine efficiency and life of PV module for different encapsulant materials and

75

selected the optimum material based on its properties including light transmittance. Based on these 4

ACCEPTED MANUSCRIPT 76

researches, it can be seen that the encapsulant material was often required to possess certain desirable

77

characteristics high transmittance of light [22]. But considering the effect of temperature and solar

78

radiation intensity of solar cell, the output performance of solar array may not be improved by solely

79

increasing the transmittance of solar array encapsulant. As we known, the energy input of solar cell is

80

proportional to the incident solar irradiation [23-25], but the enhancement of incident solar irradiation

81

will result in the increase of the solar cell temperature, and the photoelectric conversion efficiency of

82

solar cell may be correspondingly decreased [26]. Meanwhile, Khan et al. [27] investigated the effect

83

of solar irradiation intensity on the photoelectric conversion efficiency of a silicon solar cell, theoretical

84

and experimental results indicated that excessive illumination intensity may lead to the decrease of

85

efficiency of cell. Therefore, the transmittance of solar array encapsulant is not always proportional to

86

the energy output, and there is the best balance point between them. The optimization of transmittance

87

of solar array encapsulant is necessary to choose the most appropriate encapsulant to improve the

88

output energy of solar array of high-altitude airship.

89

The aim of this paper is to guide the material selection of solar array encapsulant to obtain maximum

90

output energy of solar array of high-altitude airship by optimizing the transmittance of solar array

91

encapsulant under different working conditions. Based on the thermal model and heat transfer model of

92

solar array laying on the back of high-altitude airship, the variations of temperature and energy output

93

of solar array with the change of transmittance of solar array encapsulant are discussed. In order to

94

calculate the optimum transmittance of encapsulant of solar array, the optimization model of

95

transmittance of solar array encapsulant is built. Finally, the effects of wind velocity of environment

96

and working date and latitude on the optimum transmittance are also analyzed.

97 98

2. Methodology 2.1

Thermal model of solar array

99

Solar array is symmetrically laid on the back of airship. The geometric model of airship is a

100

rotational body, and its profile is decided by a specific quadratic curve. To simplify computation, it is

101

assumed that the deformation of airship profile owing to workload and the change of environment are

102

neglected and solar array is perfectly aligned with the curvature of the surface of airship. The diagram

103

of solar array laying airship is shown in Fig. 1. The profile equation of airship is given as 5

ACCEPTED MANUSCRIPT r  f l 

104

0lL

(1)

105

where l is axial coordinate, r is equivalent rotary radius and L is the length of airship. To analyze the

106

total area of solar array, solar array is divided into a number of elements. An area element i of solar

107

array could be calculated by

108

dAi  f  l   d  dl  1  f (l )

109

where A is area, θ is the rotation angle of the generatrix along the circumferential direction,     , 

110

. Sun

Qinf

(2)

Airship

QS Solar

array

g gas Liftin Inner

Qcon

Inner

 ne

 S

air

i

air Ballonet

QE

i  G

111

An solar array unit

112

Fig. 1 Schematic diagram of the high-altitude airship and solar array.

113

Airship working in the high-altitude atmosphere is exposure to complicated thermal environment. As

114

shown in Fig. 1, the thermal environment of solar array of airship can be simplified as three parts:

115

incident solar radiation from sun and earth; infrared radiation, convective and conductive heat loss; and

116

electric energy and heat energy storing in solar array [15, 28]. The heat-balance equation of a solar

117

array element may be expressed as

118

dQ pow  dQT  dQS  dQE  dQinf  dQcon

119

where Qpow is output power of solar array, QT is the heat power of solar array, QS is solar incident

120

radiation, QE is radiation from the earth, Qinf is infrared radiation heat loss, Qcon is convective and

121

conductive heat transfer loss.

122

The incident solar radiation of an element dQS includes solar direct radiation dQd 6

(3)

and diffuse

ACCEPTED MANUSCRIPT 123

radiation dQ f , it can be defined as dQS  dQd  dQ f

124

 I d cos  i dAi dQd   0 

125

(4)

0   ij   2  ij   2

(5)

126

dQ f   I f (0.5  0.5cosi )dA

127

where  is the solar absorptivity of solar array, I d is the direct solar radiation intensity and I f is the

128

diffuse solar radiation intensity. As shown in Fig. 1,  i is the included angle between the element

129

  normal ne and the solar irradiation S , and i is the included angle between the cell element normal

130

 and the gravity direction G [10, 28].

131 132

(6)

The radiation from the Earth dQE is given by 0.5  re  I d sin  ele   I f   1  cosi  dAij 0  i   2 dQE   0 i   2 

(7)

133

where re is the reflectivity that can be approximately adopted as 0.18 for clear sky and 0.57 for

134

overcast sky [29], and  ele is solar elevation angle. The infrared radiation heat loss to external

135

atmosphere can be shown as

136

4 dQinf   [(Ts4,i  Tatm )i ]dAi

137

where  is infrared reflectivity of solar array,  is Stefan–Boltzmann constant value of 5.67e-8

138

W/(m2·K4), i is view factor to the sky [30], Ts ,i and Tatm is the temperature of solar array element i

139

and atmosphere. The convection and conductive heat loss can be defined as [31]

(8)

140

dQcon  dQconv  d Qcond

(9)

141

dQconv  ( h 3free  h 3forced )1/3 (Ts ,i  Tatm )dAi

(10)

142

d Qcond  (Ts ,i  Te ) / (t s / k s  te / k e )dAi

(11)

143

where t is thickness, k is thermal conductivity, and the subscript e means airship envelope. The

144

convection heat transfer coefficient includes two kinds: free and force, it can be defined respectively as

h free 

145

146 147

h force 

k air Nuair D

 v D k air (2  0.41 w  D  air 

(12) 0.55

)

(13)

where k air is atmospheric thermal conductivity, Nuair is the free convection Nusselt number [32], D is 7

ACCEPTED MANUSCRIPT 148 149

the diameter of airship, vw is the wind velocity, and air is atmospheric dynamic viscosity [33]. 2.2

Heat transfer Model

150

In the previous studies, solar array used in the airship hull was divided into three layers: the first

151

layer covers glass and encapsulant which is often seen as transparent to solar radiation; the second

152

layer consists of the solar cells and electric interconnections; and the third layer is the substrate [15,

153

34]. However, as shown in Table 1, the transmittance of encapsulant material defined as  may not

154

reach 100 % and it is variable when the material of encapsulant is different.

Encapsulant film

Solar cell panel

155 156

Fig. 2 Sample diagram of thin film solar cell.

157

Table 1 The transmittance of encapsulant material of solar array [22]. Encapsulant material

Transmittance /%

EVA (Ethylene-vinyl Acetate

>91

PVB (Polyvinyl butyral) Copolymer)[35]

94

TPU (Thermoplastic Poly-urethane)

93.5

PDMS

94.5

FEP

95

Parafilm Epoxy res

88

Flexoskin Epoxy resin Epoxy Resin

85 >82

158

In this paper, the effect of heat insulation structure of solar array is not considered. As shown in Fig.

159

3, the mechanism of heat transfer of the solar array may be described as follows: The first layer

160

transmits a large part of solar flux to be absorbed by the solar cells layer. Another part of solar flux is

161

reflected to the outer space [15, 34]. The first layer conducts heat to the atmosphere and solar cell. And

162

the solar cell layer conducts heat to the substrates layer; the substrate layer conducts heat to airship

163

envelope or thermal insulation layer connecting airship and solar array.

8

ACCEPTED MANUSCRIPT

dQcon

dQS

dQinf

dQT1

Encapsulant Material

dQ1,2

dQsun2

Solar Cell

dQele, dQT2

dQ2,3 Substrate Layer

dQT3

dQ3,e

164 165

Fig. 3 Heat transfer mechanism of the solar array.

166

The mechanism of the heat transfer of the solar array is given by the following differential time-

167

dependent equations: ms1cs1dT1  dQS  dQsun 2  dQinf  dQ1,2  dQcon

168 169

(14)

where Qsun 2 is incident radiation to the solar cell layer, which can also be defined as

170

dQsun 2    dQS

(15)

171

ms 2 cs 2 dT2  dQsun 2  dQ1,2  dQ2,3  dQele

(16)

172

ms 3cs 3 dT3  dQ2,3  dQ3,e

(17)

174

dQ1,2  dAs (T1  T2 ) /  t1 / k1  t2 / k 2 

(18)

175

dQ2,3  dAs (T2  T3 ) /  t2 / k 2  t3 / k3 

(19)

176

dQ3,e  dAs (T3  Te ) /  t3 / k3  te / k e 

(20)

173

177 178

where

Therefore, the output power of a solar cell element can be given by dQpow   sc dQsun 2   sc dQS

(21)

179

where  is transmittance of encapsulant of solar array, and  sc is conversion efficiency of solar

180

cells [36]. The empirical correlations for the efficiency as a function of cell temperature, irradiance and

181

air mass were derived by several scholars [37]. A five-parameter correlation could be developed for the

182

Kyocera module, which allows the efficiency to be described as a function of the cell temperature,

183

irradiance and air mass in the entire measured range via Eq.(22):

184

 I  P2  I   T   AM    sc  P1    P3    1  P4  s ,i   P5    I 0   I 0     T0   AM 0  

185

where P1 ,P2, P3, P4 and P5 are device specific parameters which are related to the type of solar cell, I is 9

(22)

ACCEPTED MANUSCRIPT 186

the sum of direct solar radiation intensity and the diffuse solar radiation intensity, I0 is 1000 W/m2 , T0

187

is the standard temperature of 25 ℃, AM is air mass and AM0 is the standard air mass of 1.5.

188

2.3

Optimization model of transmittance

189

According to Eq.(15), the incident irradiance to solar cell can be increased by improving the

190

transmittance of solar array encapsulant, but the temperature of solar cell will rise and the efficiency

191

may be correspondingly decreased. In case of constant areal density and restricted weight, the needed

192

areas of solar array are unchanged. The objective of the optimization model is to receive the maximum

193

energy output by adjusting the transmittance. The optimization problem is defined as follows:

194 195

max :

Etotal    Etotal  I , T ,  =   dQpow d i 1

(23)

subject to

0.5    0.95

196

(24)

197

where Etotal is the total energy output of solar array per day,  is time. As we known, under

198

different working condition, the solar array will receive unequal solar radiation, and the solar array

199

encapsulant may not an optimum value to output power. It is worthy to develop the optimization model

200

to get more energy output and corresponding transmittance of solar array encapsulant. Optimization

201

problems are solved using artificial bee colony (ABC) algorithm which is an optimization algorithm

202

based on the intelligent foraging behavior of honey bee swarm [38, 39]. ABC algorithm has similar

203

performance to that of other optimization algorithms, although it has less control parameters making

204

ABC algorithm more efficient in optimizing multi-modal and multi-dimensional problems[40, 41]. Fig.

205

4 shows the flowchart of solving the transmittance optimization by using an artificial bee colony

206

algorithm. And the overall flow chart of optimum transmittance calculation is shown in Fig. 5. The

207

steps of artificial bee colony algorithm can be clustered as follow:

208 209

(1) Generate initialize population: Giving the random range of transmittance of solar array in a certain environmental parameters;

210

(2) Employed bees: Evaluating the efficiency of these transmittances;

211

(3) Onlooker bees: Evaluating the output energy per day of these transmittances, and determining the

212 213

optimum transmittance of the certain range; (4) scout bees: Carrying out random search when solution is abandoned; 10

ACCEPTED MANUSCRIPT 214

(5) Repeat steps 2 to 5 until the maximum number of cycle is reached. Generate initial population

selection

Produce new solutions for employed bees Efficiency

NO

Are there abandoned solutions?

Evaluate the efficiency of solar array YES

Produce new solutions for scout bees

selection

Produce new solution for on looker bees

YES

Output energy

215 216

Max cycle number? NO

Evaluate the output energy per day of solar array

Stop

Fig. 4 Flow chart of solving the transmittance optimization by using an ABC algorithm. Start Transmittance of solar array encapsulant

Solar irradiation intensity

Input solar energy

217 218 219

Efficiency of solar cell

Temperature of solar cell

Output energy

Maximum output energy

End

Optimium transmittance

Fig. 5 Flow chart of optimum transmittance calculation.

3. Result and Analysis

220

According to the above theoretical model, a MATLAB problem is built to calculate the total energy

221

output of solar array and the optimum transmittance of solar array encapsulant. The design parameters

222

of airship in the program are listed in

223 224

Table 2. Table 2 Design parameters of airship.

11

ACCEPTED MANUSCRIPT

225

3.1

226

Parameters

Value

Length, m

220

Diameter of maximum section, m

54

Area, m2

33,000

Area of solar array, m2

5500

Volume, m3

380,000

Working altitude, km

20,000

Year

2015

Experimental verification

3.1.1 Experiment setup

227

To validate thermal model of solar array, the experimental study to measure the temperature of solar

228

array laying on the airship was done in the Academy of Opto-electronics of Chinese Academy of

229

Science in Beijing. The latitude of the location and the test date are 40°N and October 15th. The

230

ambient temperature fluctuates in the range of 10-30 ℃ during the test time. The schematic diagram

231

of experimental set-up is shown in Fig. 6. This test system mainly includes a solar array with length of

232

1.5 m and breadth of 1 m, a small-scale airship with diameter of l m and the length of 3 m, several

233

thermocouples, a temperature patrol instrument and a computer to process the temperature data. b) a) Thermocouple

Solar cell

Encapsulant film Solar array

Airship Airship

Computer

234 235

d)

c)

Thermocouple

Temperature patrol instrument

Temperature patrol instrument

Solar array

Fig. 6 Ground test setup: Schematic diagram of test circuit a) Two solar array which have different encapsulant

236

materials were laid on a small airship; b) Temperature patrol instrument; c) A thermocouple was installed on a solar

237

array element.

12

ACCEPTED MANUSCRIPT 238

3.1.2 Verification for the numerical model

239

The validity of the numerical model is verified by comparing the calculated values with the ground

240

experimental results by us and the 25m-long high-altitude Airship experimental data which is

241

performed by Kenya Harada [42]. These time history of the max temperature of solar array are shown

242

in Fig. 7, it can be seen that the calculated and experimental values by Kenya yield a good

243

correspondence with deviations below 3.7%, particularly at 16:00 with deviations below 0.1%, and the

244

ground experimental data which displayed the temperature history from 10:00 am to 3:00 pm was close

245

to the calculated result. Therefore, the numerical model to calculate the temperature of solar array in

246

this paper can be acceptable to the engineering applications.

340

(a)

330

Caculated K.HARADA_measured

Caculated Ground experiment

325

Temperatue (K)

Temperatue (K)

320

(b)

300

280

320

315

260 310

240 22:00

247

08:00

13:00

18:00

23:00

10:48

04:00

12:00

13:12

14:24

Local time (Hrs)

Local time (Hrs)

248 249

03:00

Fig. 7 Comparison of calculation of the thermal model with experimental data.

3.2

Effect analysis

250

The dependence of the solar cell efficiency on temperature described by Anthony J. Colozza [36] is

251

used in this paper. It can be assumed that the solar cell efficiency is inversely proportional to the

252

temperature. The maximum temperature of solar array as a function of encapsulant transmittance in the

253

summer solstice latitude 23°N is shown in Fig. 8. It can be found that the increase of transmittance will

254

result in obviously raising of the temperature, which may cause the decrease of efficiency of solar cell.

255

Therefore, it is feasible to improve the negative effect of high temperature on efficiency of solar cell

256

through altering the transmittance.

13

ACCEPTED MANUSCRIPT 360

  

Maximum temperature (K)

340

320

300

280

260 0

4

8

12

16

20

24

Time (Hrs)

257 258

Fig. 8 The maximum temperature of solar array.

259

From Fig. 9, it can be seen that the greater transmittance of solar array encapsulant is, the stronger

260

illumination intensity will be, and the maximum illumination intensity is up to 1200 W/m2. Fig. 10

261

shows the experimental result of the efficiency of the cell against intensity of illumination at the solar

262

cell temperature of 25 ℃ by Khan et al. [27] and the numerical result according to Eq.(22) by

263

Kyocera [37]. The solar module selected in this paper is Khan Module. With the increase of

264

illumination intensity, the efficiency of solar cell initially increased and stayed steady. The efficiency

265

then decreased when the illumination intensity is up to 850 W/m2. Therefore, the efficiency of solar

266

cell may be decreased when the transmittance of solar array encapsulant is increasing due to the

267

increase of the solar illumination intensity during the day. 1400

  

2

Illumination intensity (W/m )

1200 1000 800 600 400 200 0 0

268 269

4

8

12

16

20

24

Time (Hrs)

Fig. 9 The change of the intensity of illumination during a day.

14

ACCEPTED MANUSCRIPT 20

Khan Module Kyocera Module 18

Efficiency (%)

16

14

12

10 0

270

200

400

600

800

1000

1200

1400

1600

1800

2

Illumination intensity (W/m )

271

Fig. 10 The efficiency of the cell against intensity of illumination at 25 ℃.

272

Fig. 11 and Fig. 12 illustrate the total energy output of solar array in one day with the increase of

273

transmittance under different working dates and latitudes. From Fig. 11, it can be seen that the energy

274

output trends which are first ascended and then descended are similar at latitude 15°N and 45°N, but

275

due to the different solar radiation intensity, the transmittances of the output energy peak are 0.82 and

276

0.86 respectively. And as result of longer solar irradiation time at latitude 45°N on summer solstice, the

277

output energy at latitude 15°N is lower than that at 45°N. As shown in Fig. 12, there are no clear

278

turning points within the range of transmittance on winter solstice. The total energy output is increased

279

with the increase of transmittance, and the energy output at latitude 15°N is higher than that at 45°N,

280

which is different from the result on summer solstice day. It can also be seen that the total energy

281

output of solar array on summer solstice is much higher than that on winter solstice. The reason is that

282

the incident illumination intensity on summer solstice day is stronger[43]. In addition, on summer

283

solstice day, the difference of output energy between the optimal transmittance and maximum

284

transmittance approximately reaches 0.5 MJ at latitude 15°N, thus it is worthy to optimize

285

transmittance to receive more energy output.

15

ACCEPTED MANUSCRIPT 7

1.5x10

15°N 45°N

7

Total Energy output Per day (J)

1.4x10

Optimum transmittance

7

1.3x10

7

1.2x10

7

1.1x10

7

1.0x10

0.5

286 287

0.6

0.7

0.8

0.9

1.0

Transmittance of solar array

Fig. 11 Effects of transmittance on total energy output on summer solstice day 7

1.3x10

7

1.2x10

15°N 45°N

Total Energy output Per day (J)

7

1.1x10

Optimum transmittance

7

1.0x10

6

9.0x10

6

8.0x10

6

7.0x10

6

6.0x10

6

5.0x10

6

4.0x10

0.5

0.6

0.7

0.8

0.9

1.0

288 289

Fig. 12 Effects of transmittance on total energy output on winter solstice day

290

Since flowing air can take away a part of the heat radiated by the solar array, the wind velocity can

291

also influence the temperature of solar array [13]. Effects of transmittance on total energy output under

292

different wind velocity are shown in Fig. 13. The working date and latitude of airship are set to summer

293

solstice and 15°N respectively. And the greater wind velocity is, the more energy output will be.

294

Moreover, it can also be observed that the transmittances of maximum output have slight variation with

295

the increase of wind velocity. Whereas there are some errors of transmittance in the manufacturing

296

process of encapsulant materials, the effect of wind velocity on optimum transmittance may be

297

neglected.

Transmittance of solar array

16

ACCEPTED MANUSCRIPT 7

1.25x10

vw=0m/s vw=20m/s

7

Total Energy output Per day (J)

1.20x10

vw=40m/s

Optimum transmittance 7

1.15x10

7

1.10x10

7

1.05x10

7

1.00x10

0.5

298 299 300

0.6

0.7

0.8

0.9

1.0

Transmittance of solar array

Fig. 13 Effects of transmittance on total energy output under different wind velocity.

3.3

The optimum transmittance

301

As the above analysis results show, the energy output of solar array the optimum transmittance of

302

solar array encapsulant can be turned by various work conditions. Therefore, the effects of different

303

dates and latitudes on optimum transmittance should be discussed.

304

Fig. 14 shows comparison result of the optimum transmittance of solar array encapsulant on summer

305

solstice and winter solstice as the function of working latitude. On summer solstice day, as the change

306

trend of the intensity of solar irradiation is first enhanced then weaken with the increase of latitude, the

307

optimum transmittance is first decreased then increased. And the minimum optimum transmittance

308

which is located between latitude 20°N to 30°N is about 0.81. It can also be seen that the maximum

309

difference of optimum transmittance at various working latitude is up to 0.1. But on winter solstice day,

310

with the increase of working latitude, the intensity of solar irradiation is weaken with the increase of

311

latitude, so the change curve of the optimum transmittance is increased firstly and then maintained

312

steady after reaching the maximum value, and the latitude of turning point is about 10°N. It can be

313

interpreted that the solar illumination incident on solar array is descended with the increase of latitude

314

on winter solstice [44]. When the latitude is higher than 20°N, solar illumination intensity is not very

315

strong at the maximum transmittance of solar array encapsulant, so the decrease of efficiency is not

316

remarkable. And it may be an ideal way to increase energy output through raising transmittance of

317

solar array encapsulant, when the working latitude is higher than 10°N on winter solstice.

17

ACCEPTED MANUSCRIPT

0.96 0.94

Summer solstice day Winter solstice day

Optimal Transmittance

0.92 0.90 0.88 0.86 0.84 0.82 0.80 0

10

20

318

30

40

50

Latitude (°)

319

Fig. 14 Effects of latitude on optimum transmittance of solar array.

320

As shown in Fig. 15, the relationship between optimum transmittance and working date at 15°N and

321

45°N is presented. At the middle months of a year, the intensity of solar irradiation is first enhanced

322

then weakened, and the date of the strongest radiation intensity is near June 1st, so the optimal

323

transmittance is reduced first and then increased and the lowest optimum transmittance is also near

324

June 1st. The maximum difference of optimum transmittance on different working date is about 0.14 at

325

15°N, and because the airship at 15°N may receive stronger solar illumination intensity than at 45°N

326

throughout a year, the lowest value of optimum transmittance at 45°N is 0.87, which is larger than that

327

of 15°N. 15°N 45°N

0.96 0.94

Optimal Transmittance

0.92 0.90 0.88 0.86 0.84 0.82 0.80 0.78 01-Feb

01-Apr

01-Jun

01-Aug

01-Oct

01-Dec

328 329

Fig. 15 Effects of working date on optimum transmittance of solar array.

330

In fact, in the practical working process of high-altitude, the encapsulant material of solar array

331

cannot be changed, and the working hour of high-altitude airship is more than one month, so the

332

transmittance of solar array encapsulant is fixed in that time. And taking into account of the fabrication

333

error of solar array encapsulant, the optimum transmittance can be regarded as the same under some

Working Date

18

ACCEPTED MANUSCRIPT 334

different conditions. For example, the difference of optimum transmittance from May 1st to Sep 1st is

335

not more than 0.02 at 15°N, so the optimum transmittance in these days can be considered to be a same

336

value, 0.82. And when the working date of the high-altitude airship working at 15°N is May 1st to Sep

337

1st, the solar array encapsulant is suggested to select transmittance of 0.82.

338

3.4

Selection of encapsulant material

339

As a result of the diversity of transmittance of solar array encapsulant, the output energy of solar

340

array is affected with the different encapsulant materials. According to the above optimization results,

341

it can be seen that the optimum transmittance is largely determined by working date and latitude, and

342

the different encapsulant materials often have different transmittance, so the selection of encapsulant

343

material of solar cell should be based on the optimization results. The preferable encapsulant materials

344

of solar array under some typical dates and latitudes are listed in Table 3.

345

Table 3 The transmittance of encapsulant material of solar array.

Working date

Working latitude

Spring solstice Summer solstice

>95 Transmittance/%

Suggested Encapsulant material FEP; PDMS

82

Epoxy Resin; Flexoskin

Autumn solstice

91

EVA

Winter solstice

>95

FEP

0

91

EVA;

30

81

Epoxy Resin; Flexoskin

45

86

Parafilm

Summer solstice

346

Optimum

15

4. Conclusion

347

The efficiency of solar cell plays a significant role in improving the output performance of solar

348

array of high-altitude airship. The temperature and incident radiation intensity of solar cell, which are

349

the key influencing factors to the efficiency of solar cell, can be increased with the rise of transmittance

350

of solar array. In this paper, In order to enhance energy output through achieving the balance between

351

efficiency and radiation input, the optimum transmittance has been calculated by the ABC optimization

352

algorithm.

353

The optimization results indicated that the working latitude and date of airship are significant factors

354

to the optimum transmittance of encapsulant of solar array. On summer solstice, the energy output with 19

ACCEPTED MANUSCRIPT 355

the optimal transmittance can approximately increase up to 0.5 MJ at latitude 15°N. On winter solstice

356

day, when the latitude is higher than 10°N, it is helpful for improving energy output to increase the

357

transmittance as large as possible. The effect of working date on optimum transmittance of encapsulant

358

of solar array is different at high and low latitude. At the higher latitude, 45°N, the optimum

359

transmittance in these dates from Sep 1st to Mar 1st the next year keep the maximum value of 0.95. At

360

the latitude 15°N, the optimum transmittance in these days from Apr 1st to Sep 1st can be considered to

361

be a same value, 0.82. The optimization results are conducive to improve the output performance of

362

solar array by choosing the most suitable encapsulant of solar array under different working conditions.

363

However, this work still has certain limitations. In reality, the working hours of long-endurance

364

airship are often up to one year, but the optimum value for the transmittance of the solar array that can

365

work through the whole year is not investigated in this paper. In addition, to simplify the computation,

366

different parts of temperature of solar array laid on the airship have been assumed to be the same, but

367

in fact, the layout parameters of solar array may affect the temperature distinction of different parts of

368

solar array. Therefore, future work is focused on investigating optimization results for whole year and

369

the effect of temperature distinction of different parts of airship.

370

Acknowledgments

371

This work was supported by the National Natural Science Foundation of China under Grant No.

372

51307004.

373

References

374 375

[1] Miller, G., et al. Operational Capability of High Altitude Solar Powered Airships. in AIAA 5th Aviation, Technology, Integration, and Operations Conference. 2005.

376

[2] Lee, M., S. Smith, and S. Androulakakis. The high altitude lighter than air airship efforts at

377

the US army space and missile defense command/army forces strategic command. in 18th AIAA

378

Lighter-Than-Air Systems Technology Conference, Seattle, USA. 2009.

379 380 381

[3] Dolce, J.L. and A. Collozza, High-Altitude, Long-Endurance Airships for Coastal Surveillance. NTIS/NASA, 2005. [4] Lobbia, M.A. and R.H. Gong. A modular sizing model for high-altitude/long-endurance 20

ACCEPTED MANUSCRIPT 382

airships. in 44th AIAA Aerospace Sciences Meeting 2006. Reno, NV, United states: American

383

Institute of Aeronautics and Astronautics Inc.

384 385 386 387 388 389 390 391 392 393

[5] Su, J. and B. Song. Curved surface renewable solar cell applied to near space airship energy system. in ICEMS 2008. 2008. Wuhan, China: Inst. of Elec. and Elec. Eng. Computer Society. [6] Li, G., D. Ma, and M. Yang, Research of near space hybrid power airship with a novel method of energy storage. International Journal of Hydrogen Energy, 2015. 40(30): p. 9555-9562. [7] Knaupp, W. and I. Schafer. Solar powered airship - challenge and chance. in The IEEE Photovoltaic Specialists Conference. 1993. [8] Naito, H., et al. Design and analysis of solar power system for SPF airship operations. in AIAA 1999. [9] Colozza, A. PV / Regenerative Fuel Cell High Altitude Airship Feasibility Study. in 2nd AIAA "Unmanned Unlimited" Systems, Technologies, and Operations. 2003.

394

[10] Ran, H., R. Thomas, and D. Mavris. A comprehensive global model of broadband direct

395

solar radiation for solar cell simulation. in 45th AIAA Aerospace Sciences Meeting 2007, January

396

8, 2007 - January 11, 2007. 2007. Reno, NV, United states: American Institute of Aeronautics and

397

Astronautics Inc.

398 399 400 401

[11] Wang, Y.W. and C.X. Yang, A comprehensive numerical model examining the thermal performance of airships. Advances in Space Research, 2011. 48(9): p. 1515-1522. [12] Wang, Y. and Y. Liu, Numerical Simulation about Thermal Environment of Solar Energy Airship in Stratosphere. Procedia Engineering, 2012. 29(0): p. 1745-1749.

402

[13] Li, D.-F., X.-L. Xia, and C. Sun, Experimental investigation of transient thermal behavior of

403

an airship under different solar radiation and airflow conditions. Advances in Space Research,

404

2014. 53(5): p. 862-869.

405 406 407 408 409

[14] Wang, H., B. Song, and L. Zuo, Effect of High-Altitude Airship's Attitude on Performance of its Energy System. Journal of Aircraft, 2007. 44(6): p. 2077-2080. [15] Li, X., X. Fang, and Q. Dai, Research on thermal characteristics of photovoltaic array of stratospheric airship. Journal of Aircraft, 2011. 48(4): p. 1380-1386. [16] Li, X., et al., Modeling and analysis of floating performances of stratospheric semi-rigid 21

ACCEPTED MANUSCRIPT 410 411 412

airships. Advances in Space Research, 2012. 50(7): p. 881-890. [17] Li, J., et al., Output performance analyses of solar array on stratospheric airship with thermal effect. Applied Thermal Engineering, 2016. 104: p. 743-750.

413

[18] Garg, A.K., et al. Solar Panel Area Estimation and Optimization for Geostationary

414

Stratospheric Airships. in 11th AIAA Aviation Technology, Integration,and Operations (ATIO)

415

Conference. 2011.

416

[19] Li, J., M. Lv, and K. Sun, Optimum area of solar array for stratospheric solar-powered

417

airship. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace

418

Engineering, 2016.

419

[20] La Notte, L., et al., Influence of encapsulation materials on the optical properties and

420

conversion efficiency of heat-sealed flexible polymer solar cells. Surface and Coatings Technology,

421

2014. 255: p. 69-73.

422

[21] Hasan, O. and A.F.M. Arif, Performance and life prediction model for photovoltaic modules:

423

Effect of encapsulant constitutive behavior. Solar Energy Materials and Solar Cells, 2014. 122: p.

424

75-87.

425 426

[22] Kempe, M.D., Ultraviolet light test and evaluation methods for encapsulants of photovoltaic modules. Solar Energy Materials and Solar Cells, 2010. 94(2): p. 246-253.

427

[23] Sun, K., et al. Simulation Analysis for Solar Array Output Characteristics on Stratospheric

428

Airship in 2012 IASTED International Conference on Power and Energy Systems and Applications.

429

2012. Las Vegas, USA.

430

[24] Makki, A., S. Omer, and H. Sabir, Advancements in hybrid photovoltaic systems for

431

enhanced solar cells performance. Renewable and Sustainable Energy Reviews, 2015. 41: p. 658-

432

684.

433 434

[25] Benghanem, M., A.A. Al-Mashraqi, and K.O. Daffallah, Performance of solar cells using thermoelectric module in hot sites. Renewable Energy, 2016. 89: p. 51-59.

435

[26] Khan, F., S.-H. Baek, and J.H. Kim, Wide range temperature dependence of analytical

436

photovoltaic cell parameters for silicon solar cells under high illumination conditions. Applied

437

Energy, 2016. 183: p. 715-724. 22

ACCEPTED MANUSCRIPT 438 439 440 441

[27] Khan, F., S.N. Singh, and M. Husain, Effect of illumination intensity on cell parameters of a silicon solar cell. Solar Energy Materials and Solar Cells, 2010. 94(9): p. 1473-1476. [28] Dai, Q., et al., Performance simulation of high altitude scientific balloons. Advances in Space Research, 2012. 49(6): p. 1045-1052.

442

[29] Cheng, X.-T., X.-H. Xu, and X.-G. Liang, Thermal simulation and experiment for an airship

443

under low altitude environment. Yuhang Xuebao/Journal of Astronautics, 2010. 31(10): p. 2417-

444

2421.

445 446

[30] Cathey, H.M., Jr. Advances in the thermal analysis of scientific balloons. in AIAA Meeting Papers on Disc, January 1996. 1996.

447

[31] Incropera, F.P., Fundamentals of Heat and Mass Transfer. 1985: Wiley. 139–162.

448

[32] Xiong, J., J.B. Bai, and L. Chen, Simplified analytical model for predicting the temperature

449

of balloon on high-altitude. International Journal of Thermal Sciences, 2014. 76: p. 82-89.

450

[33] Hughes, D.W., Atmospheric Physics. Nature, 1976. 221(5184): p. 981.

451

[34] Li, J., S. Yan, and R. Cai, Thermal analysis of composite solar array subjected to space heat

452

flux. Aerospace Science and Technology, 2013. 27(1): p. 84-94.

453

[35] Oliveira, M.C.C.d., et al., The causes and effects of degradation of encapsulant ethylene

454

vinyl acetate copolymer (EVA) in crystalline silicon photovoltaic modules: A review. Renewable

455

and Sustainable Energy Reviews, 2017.

456

[36] Colozza, A.J. and J. Dolce, Convective Array Cooling for a Solar Powered Aircraft. 2003.

457

[37] Durisch, W., et al., Characterisation of photovoltaic generators. Applied Energy, 2000.

458

65(1): p. 273-284.

459

[38] Karaboga, D., Artificial bee colony algorithm. Scholarpedia, 2010. 5(3): p. 24–32.

460

[39] Karaboga, D. and B. Basturk, A powerful and efficient algorithm for numerical function

461

optimization: artificial bee colony (ABC) algorithm. Journal of Global Optimization, 2007. 39(3):

462

p. 459-471.

463 464 465

[40] Karaboga, D. and B. Akay, A comparative study of Artificial Bee Colony algorithm. Applied Mathematics and Computation, 2009. 214(1): p. 108-132. [41] Saffari, H., et al., Thermodynamic analysis and optimization of a geothermal Kalina cycle 23

ACCEPTED MANUSCRIPT 466

system using Artificial Bee Colony algorithm. Renewable Energy, 2016. 89: p. 154-167.

467

[42] Harada, K., et al., Experimental study of thermal modeling for stratospheric platform

468

airships, in AIAA's 3rd Annual Aviation Technology, Integration, and Operations (ATIO) Forum

469

2003, November 17, 2003 - November 19, 2003. 2003.

470 471 472 473

[43] Cornejo, L., et al., A through analysis of solar irradiation measurements in the region of Arica Parinacota, Chile. Renewable Energy, 2017. 112: p. 197-208. [44] Tang, R. and T. Wu, Optimal tilt-angles for solar collectors used in China. Applied Energy, 2004. 79(3): p. 239-248.

474

24

ACCEPTED MANUSCRIPT

Highlights



The thermal and heat transfer models of solar array of high-altitude airship are established.



The optimization model of transmittance of solar array encapsulant is presented.



The feasibility of the numerical model is verified by comparison with experimental data.



The energy output of solar array of high-altitude airship is improved through optimizing the transmittance of solar array encapsulant.



The effect of working condition on the optimum transmittance of solar array encapsulant is analyzed.

Suggest Documents