International Journal of Photoenergy
Volume 2015 (2015), Article ID 321350, 9 pages
http://dx.doi.org/10.1155/2015/321350

Research Article

Thermal Analysis of Direct Liquid-Immersed Solar Receiver for High Concentrating Photovoltaic System

Xinyue Han, Qian Wang, Jun Zheng, and Jian Qu

School of Energy and Power Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China

Received 31 May 2015; Revised 21 July 2015; Accepted 27 July 2015

Academic Editor: Yanfa Yan

Copyright © 2015 Xinyue Han et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Concentrator solar cells that operate at high solar concentration level must be cooled. In this paper, direct liquid immersion cooling of triple-junction solar cells (InGaP/InGaAs/Ge) is proposed as a heat dissipation solution for dense-array high concentrating photovoltaic (HCPV) systems. The advantages of triple-junction CPV cells immersed in a circulating dielectric liquid and dish HCPV technology are integrated into a CPV system to improve the system electrical conversion efficiency. An analytical model for the direct liquid-immersed solar receiver with triple-junction CPV cells is presented. The main outputs of the model are the components temperatures of the receiver and the system electrical efficiency. The influence of concentration factor, mass flow rate, and inlet liquid temperature on the operating temperature of the triple-junction CPV cells and the system electrical conversion efficiency are discussed. It is shown that the system electrical conversion efficiency is very high for a wide range of operating conditions. The three operating parameters have a major effect on the operating temperature of the triple-junction CPV cells and, by extension, system output power. The flow rate selection should match concentration factor to keep the triple-junction CPV cells temperature lower and increase the electrical conversion efficiency of the dense-array HCPV system.

1. Introduction

Solar photovoltaic (PV) systems are attracting a lot of attention as electrical power sources that can complement or replace the fossil and nuclear fuels power generation systems. However, the PV systems costs are still not competitive with the conventional power generation systems. Concentrating photovoltaic (CPV) systems provide economic advantages by combining cheap concentrators with high efficiency solar cells. Triple-junction solar cells with conversion efficiencies 46.0% are currently available [1]. Furthermore, a cost-effective use of high performance multijunction solar cells is enabled in high concentrating photovoltaic (HCPV) systems. The concentration factor is higher than 300 suns. HCPV technology had been investigated for a long time. In the future, the cell efficiency will increase and the systems costs will be reduced further. Therefore, the HCPV market using high efficiency multijunction solar cells will be increasing continuously [2].

However, concentrator solar cells that operate at high solar concentration factor must be cooled, because much of the incident solar energy that is not converted to electricity appears as heat during the HCPV systems operation. This heat will in turn reduce the system electrical efficiency, and even the cells are subject to thermal damage. Thus, a good heat rejection system is essential for HCPV system [3]. Actually, many cooling methods have been proposed with different cooling performance. Modular HCPV systems are usually passively cooled. Araki et al. [4] proved that the cell temperature would rise only 18°C when the CPV module with the designed passive heat dissipation device operated as high as 500 suns. Sun et al. [5] predicted the electrical performance and thermal performance of the minidish HCPV system under natural air cooling for different heat sink designs. Wang et al. [6] investigated the performance of HCPV solar cell modules with passive cooling through Computational Fluid Dynamics (CFD) simulations. The results indicated that the maximum cell temperature depends on the direct normal irradiance and ambient temperature. In contrast, central receiver systems use heliostats or a dish to focus sunlight on a bigger densely packed CPV cells. Therefore, in these dense-array HCPV systems, the passive cooling is not sufficient and the active cooling is used to keep the CPV cells from overheating. Lasich [7] proposed a water cooling circuit for a dense-array HCPV system with silicon CPV cells. The circuit is reported to be able to reject 500 kW/m² from solar cells and to keep the CPV cell temperature at about 40°C. Chong and Tan [8] proposed an automotive radiator for the heat dissipation of the dense-array CPV system and demonstrated the feasibility of the proposal through theoretical modeling and experiment. In addition, Ho et al. [9] analyzed the potential of increasing HCPV system efficiency by two-phase flow cooling. Results indicated that the decisive factor for improving cell efficiency was the saturation temperature of the working fluid, which is influenced by many design parameters.

In order to minimize the thermal contact resistance between solar cells and heat sink, the direct liquid immersion cooling has been proposed for the thermal management in the CPV systems. With direct liquid immersion cooling, bare CPV cells are immersed in a circulating dielectric liquid. So, the contact thermal resistance between the CPV cell and heat dissipation system is reduced. Further, the heat can be taken away by both the front and rear cell surfaces instead of just the rear surface, as in conventional active cooling. Ugumori and Ikeya [10] observed that the photocurrent of solar cells operated in liquids increases with the increase in the permanent dielectric moment of liquid molecules. Abrahamyan et al. [11] found that a dielectric liquid thin-film can increase the efficiency of common silicon solar cells by 40–60%. In addition, Wang et al. [12] and Han et al. [13] conducted some tests and described a possible mechanism for increased silicon solar cell performance when immersed in liquids. Sun et al. [14] studied the performance of silicon CPV cells in a liquid-immersed linear CPV receiver. The results showed that the low and uniform cell temperature can be maintained in the receiver and the receiver channel can be designed narrower to further reduce the liquid holdup. Zhu et al. [15] reported that the silicon CPV module can be reduced to 45°C when 250-sun CPV system was cooled by direct deionized water immersion, but the results also showed that the electrical performance of the module degraded after a fairly long time immersion in the water.

In this paper, the direct liquid immersion cooling is proposed for densely packed triple-junction solar cells thermal management in the HCPV systems. The novelty of our study is to combine the advantages of triple-junction CPV cells immersed in a circulating dielectric liquid and dish high concentrator photovoltaic technology into the dense-array HCPV system to improve the system electrical conversion efficiency. In order to analyze the performance of the novel central receiver, that is, a direct liquid-immersed solar receiver with densely packed triple-junction CPV cells for the HCPV system, an analytical model based on energy balance is developed. The components temperatures of the receiver and the related energy flows are calculated in detail through this model. The model can be used to evaluate both triple-junction CPV cells temperature and the system electrical efficiency related to the concentration factor, mass flow rate, and inlet liquid temperature. Through this investigation, the feasibility of our proposal can be proved and the signification of liquid immersion cooling in maintaining the good performance of dense-array HCPV system can be justified.

2. HCPV System Description

The proposed dense-array HCPV system is mainly composed of a dish concentrator, a direct liquid-immersed solar receiver with densely packed triple-junction CPV cells, and a tracking unit.

2.1. Concentrating and Tracking System

Dish concentrator is typically used for HCPV systems. But conventional parabolic dishes have a problem that the incident flux distribution is not uniform causing the system efficiency reduction. Then, in this study, the reflecting dish is assembled of 120 flat mirrors to achieve a uniform incident flux distribution. Further, the concentration factor can be adjusted. Every mirror facet is about 100 cm². The reflectivity of the dish concentrator is about 94%.

It is well known that concentrators are limited to collecting only the beam radiation. Therefore, the two-axis tracking unit is used to improve the dense-array HCPV system efficiency. Further, the simpler and more accurate algorithm that determined the sun position from the solar literature reviewed by Blanco-Muriel et al. [16] is used here. In addition, a programmable logic controller system is developed and manufactured for the tracking unit.

2.2. Direct Liquid-Immersed Solar Receiver

The direct liquid-immersed solar receiver is composed of densely packed triple-junction CPV solar module, a dielectric liquid circulating in the receiver body, electrical connections, and a transparent glass cover oriented towards the focused sunlight. The design concepts of the direct liquid-immersed solar receiver are given in Figure 1.

Figure 1: Cross-section of direct liquid-immersed solar receiver.

The densely packed CPV solar module uses InGaP/InGaAs/Ge triple-junction solar cell, which is manufactured by Tianjin Lantian Solar Tech Co., Ltd. The single cell size is 10 mm long and 10 mm wide, with a typical efficiency of 39.2% at 500 suns (AM1.5D, 25°C). The cells are attached on the copper-clad insulated metal substrate to form module. The module includes 25 triple-junction CPV solar cells arranged in five rows. The total module is 0.14 m long and 0.08 m wide. The active area of the module including gaps between cells is about 28 cm². Positive and negative electrodes as well as the bypass diodes for each cell are installed at the outer edge in an area protected from radiant flux. In HCPV system, the CPV cells also experience high operating temperature. To avoid the solar cells overheating, the heat is dissipated by dimethyl silicon oil flowing in a liquid channel in which the module has been located. The heat from the solar cells is transferred to dimethyl silicon oil through convection heat transfer and conduction heat transfer. The size of the liquid channel can be changed with the CPV solar modules to provide effective cooling.

3. Mathematic Description

The theoretical research done in modeling CPV receiver based on direct liquid immersion cooling has not seen many development activities. A numerical model for the receiver and the cooling system of a CPV system was developed by Mahderekal et al. [17], which was used to simulate the whole system performance and then used to choose the input parameters. Chong and Tan [8] established a model of the automotive radiator cooling system for the CPV system. It allows detailed analysis of the heat transfer rate in the function of temperature difference between ambient and radiator for a wide range of flow rates and wind speeds. Ho et al. [9] published a steady-state model of the two-phase cooling system to forecast cell temperature distributions and cell efficiencies for PV cells under 100 suns. In addition, Lee et al. [18] studied the influences of different design parameters on thermal performance of the cooling system for CPV system through CFD simulation. Buonomano et al. [19] constructed a 1D model of the heat flow in a water-cooled CPV receiver. They found that the model seems to give reasonable results even when the module exposed to the concentration factor up to 1000 suns. Al-Amri and Mallick [20] established a model based on finite difference approach to forecast the maximum temperature of the solar cells, which were cooled by air-mixed convection without and with the radiation interaction.

In the present case, the models mentioned above can not be used due to the use of direct liquid immersion cooling and triple-junction CPV cells in the dense-array HCPV system. Therefore, in order to forecast the electrical performance of the dense-array HCPV system with direct liquid immersion cooling, a zero-dimensional energy balance model under steady-state conditions is developed. This model can be enough fast for approximate steady-state yearly simulation. Higher dimensional models to simulate the heat transfer in CPV solar module should be costly considering the computational aspect.

Figure 2 shows the thermal network describing the energy flows among the components of the direct liquid-immersed solar receiver and the surroundings. It should be noted that the copper-clad insulated metal substrate on which the cells are mounted is neglected due to its higher heat conductivity and negligible thickness. The aim of the thermal network is to analyze the CPV triple-junction CPV cells temperature immersed in circulating dimethyl silicon oil. The triple-junction CPV cells temperature is very important for achieving the electrical output. Based on the thermal network, the model is presented in the next several paragraphs.

Figure 2: Thermal network describing a direct liquid-immersed solar receiver. The thermal resistances are modeled using the respective heat transfer coefficients .

3.1. Energy Balances

The energy balance for aluminium plate is given by the following equation, and the receiver edges are ignored here:

where is the thermal energy absorbed by aluminium plate. is the temperature of aluminium plate. is the ambient temperature. is the equivalent sky temperature. is the mean liquid temperature. is the triple-junction CPV cells temperature. and are the surface areas of aluminium plate and CPV solar module, respectively.

The energy balance for triple-junction CPV cells can be written as follows:

where is the thermal energy absorbed by triple-junction CPV cells. and are the mean liquid temperature of one immersion liquid flowing the module front surface and another immersion liquid flowing the module rear surface, respectively.

The energy balance for immersion liquid is as follows:

where

is mass flow rate of immersion liquid, is specific heat of immersion liquid, and are the inlet temperature and the outlet temperature of immersion liquid, is the temperature of glass cover, and is the glass cover area.

The energy balance for glass cover is given by

where is the thermal energy absorbed by glass cover and is the temperature of dish concentrator.

The energy balance for dish concentrator is

where is the concentrator area. In this case, the left terms of (6) are as follows: the irradiance absorbed by the concentrator , the radiation heat transfer between the glass cover and the dish concentrator, the convection heat transfer at the front surface of the concentrator, and the convection heat transfer at the back surface, as well as the radiation heat transfer between the dish concentrator and the sky.

3.2. Solar Energy Model

The irradiance converted into thermal energy absorbed by aluminium plate, triple-junction solar cells, glass cover, and dish concentrator are given by

where is the total radiation and is the absorptance of aluminium plate:

where

is absorptance of triple-junction CPV cells, is the radiation focused on the CPV surface, is the power output, is the active area of the CPV module, is the beam radiation, and is the concentration factor. is the system optical efficiency, which is considered as a constant value [21]:

where is the absorptance of glass cover and is the reflectivity of the concentrator:

where is the absorptance of the concentrator.

3.3. Electrical Model

The power output is considered to depend on the irradiance and the solar cell temperature, which is described as follows:

where is the electrical efficiency of the triple-junction CPV cells at a reference temperature . is typically set to be 25°C. is the relative temperature coefficient of the triple-junction CPV cells efficiency. Both and change with the concentration factor.

3.4. Heat Transfer Coefficients and Pressure Drop Correlations

Depending on the model mentioned above, the forced convection heat transfer coefficients (HTCs) between the turbulent immersion liquid and both the aluminium plate () and the triple-junction CPV module () or the glass cover () are calculated by the following correlation [22]:

where

is the thermal conductivity of the immersion liquid, is Reynolds number, is Prandtl number, is Moody (or Darcy) friction factor, is hydraulic diameter, and is the length of the channel. This correlation applies to in the range of 230010⁶ and in the range of 0.610⁵.

The convection HTCs between the air and both the aluminium plate () and the glass cover () or the concentrator () are considered to be related to the wind speed using the correlation as follows [23]:

The radiation HTCs between the sky and both the aluminium plate () and the concentrator () as well as the radiation HTC () between the concentrator and the glass cover are calculated by the formula of small subject 1 surrounded by big subject 2:

where is Stefan-Boltzmann constant and is the small subject 1 emissivity. The equivalent sky temperature () is calculated by the following correlation [24]:

The radiation HTCs between the triple-junction CPV module and both the aluminium plate () and the glass cover () are evaluated by the relation of two infinite parallel plates (3, 4):

To determine the fluid pressure drop , across the length of the receiver, the following equation is used [25]:

where is density of immersion liquid and is the immersion liquid velocity in the receiver.

In (1)–(3) and (5)-(6), the unknowns are five: aluminium plate temperature (), triple-junction solar cells temperature (), outlet liquid temperature (), temperature of the glass cover (), and the concentrator temperature (). Since several equations presented above include radiation terms, we must use the numerical iterative techniques to solve the nonlinear equations.

The model mentioned above is based on steady-state assumption. But the assumption will be neglected when (1)–(3) and (5)-(6) consider the capacitive terms. Then, the differential equations will replace the algebraic equations, and they can be solved using Matlab.

The performance of the dense-array HCPV system can be evaluated by the electrical efficiency, which is given by

It should be mentioned that the inlet liquid temperature is set to 293 K when investigating the effects of concentration factor and mass flow rate on the electrical efficiency of the system.

4. Model Validation

Since the dense-array HCPV system has not been constructed, the experimental data is unavailable for the rigorous validation of the model discussed above. However, in order to demonstrate the model reliability, the results from the model were compared with the available experimental data in the literature which described a similar HCPV system [15]. The detailed procedures were performed as follows. First, the model discussed above was slightly changed to consider the use of back-contact CPV silicon solar cells. Second, the model was slightly changed by using the thermodynamic properties of deionized (DI) water, in order to consider DI water as the immersion liquid. Third, the design parameters and the operating parameters were input to the model according to the data from [15]. Then, the experimental data available in [15] were used to calibrate the model. Finally, the calibrated model was applied to calculate the average temperature of solar module in the HCPV system. The analysis proved that the model exhibits acceptable errors in calculating the average temperature of solar PV module in the HCPV system; see Table 1.

Table 1: Model validation.

(W/m²)
(K) (from [15])
(K)
Error (%)

801
314.8
305.0

841
315.9
307.7

904
318.6
329.4

959
319.4
332.2

985
320.0
334.7

5. Results and Discussion

The model has been applied to investigate the components temperatures of the direct liquid immersion solar receiver and the electrical performance of the dense-array HCPV system under different operating condition. To do so, Table 2 lists the input parameters of the model. Some values presented in Table 2 are obtained from the literatures. Otherwise, the reasonable estimations are made.

Table 2: Parameters used for the models.

Symbol
Unit
Value
Explanation

1
0.32
From [27]

1
0.10
From [27]

1
0.95
From [28]

1
0.20
From [29]

1
0.015
From [27]

1
0.90
From [30]

1
0.03
From [29]

1
0.30
From [29]

1
0.85
From [21]

W/m²
1000
From [29]

W/m²
850
From [26]

kg/m³
873
From datasheet

J/kg/K
1800
From datasheet

W/m/K
0.11
From datasheet

Pa⋅s
0.001746
From datasheet

,
m²
0.02
Own estimation

Dimethyl silicon oil is specified as the dielectric liquid flowing inside the receiver. The dimethyl silicon oil is produced by Shin-Etsu Chemical Co., Ltd., Japan, with the name KF-96L-2cs. Its thermodynamic properties are obtained from the technical datasheet. The measured spectral transmittance curve of the dimethyl silicon oil is observed in Figure 3. Also included is the spectral irradiance (Direct Normal + circumsolar at AM1.5, ASTM G173-03). From Figure 3, it can be seen that the dimethyl silicon oil is quite transparent in the wavelength range between 300 nm and 1800 nm, over which the triple-junction solar cells absorb strongly.

Figure 3: Spectral transmittance curve of dimethyl silicon oil, including spectral irradiance (AM1.5D, ASTM G173-03).

5.1. Effects of the Concentration Factor

As mentioned above, both and of the triple-junction CPV cells change with the increasing concentration factor. These values utilized for and are derived from [26]. Figure 4 shows the influence of concentration factor on the system electrical conversion efficiency. It can be observed that the system electrical conversion efficiency rises firstly and then drops with the concentration factor increases. This is because the operating temperature of the triple-junction CPV cells increases as the concentration factor increases, as shown in Figure 5. Furthermore, the system electrical conversion efficiency decreases with increasing operating temperature. Simultaneously, the system electrical conversion efficiency rises logarithmically with the increasing incident radiant. These two contrasting effects result in the electrical conversion efficiency of the designed system plot shown in Figure 4.

Figure 4: Dependence of the electrical efficiency of the system on the concentration factor (, , and ).

Figure 5: Dependence of the components temperatures of the receiver on the concentration factor (, , , and ).

In addition, it can be seen from Figure 5 that the operating temperature of the CPV cells increases from 305 K to 368 K as the concentration factor increases from 100 suns to 600 suns. Therefore, in order to maintain the higher system efficiency at higher concentration factor, the other related parameters need to be changed to keep the concentrator solar cells operated in the optimized temperature range, especially the mass flow rate. This point is also verified by Figure 4. Here, it is indicated that as the concentration factor rises, the increase in the mass flow rate accordingly is very significant to obtain higher system electrical conversion efficiency. The electrical conversion efficiency of the HCPV system remains higher than 31% when the concentration factor reaches 600 suns.

5.2. Effects of Mass Flow Rate

The mass flow rate is changed from 0.38 to 0.58 kg/s in 0.02 increments for dimethyl silicon oil to investigate its influence on the system electrical conversion efficiency and the components temperatures of the receiver. These mass flow rates represent the turbulent convection heat transfer region. In Figures 6 and 7, the concentration factor is held constant at 400 suns and the inlet liquid temperature is chosen to be 293 K. As shown in Figure 6, the system electrical conversion efficiency increases with mass flow rate increases, and the operating temperature of the triple-junction CPV cells decreases as observed in Figure 7. This is mainly because the convection HTC increases with the increase in mass flow rate. The more cooling mass brings the operating temperature of the triple-junction CPV cells down for the constant heat flux condition. Therefore, the higher mass flow rates resulted in the higher system electrical conversion efficiency.

Figure 6: Dependence of the electrical efficiency of the system on the mass flow rate (, , , and ).

Figure 7: Dependence of the components temperatures of the receiver on the mass flow rate (, , , and ).

The required pumping power to circulate the immersion cooling liquid is determined from the fluid pressure drop, with higher fluid pressure drop reducing the net amount of energy actually gained from the dense-array HCPV system. Figure 8 presents the pressure drop of dimethyl silicon oil when the receiver has a channel height of 0.01 m and the inlet liquid temperature of 293 K. As expected, the results show that the fluid pressure drop increases with the mass flow rate, but the absolute value of the frictional pressure drop is much smaller for the current receiver. The required pumping power input of an ideal, isentropic pump can then be calculated using the following formula [25]:

where is the volumetric flow rate of the immersion liquid.

Figure 8: Fluid pressure drop and the required power by an ideal pump to circulate the immersion liquid across the receiver as functions of the mass flow rate.

The estimated pumping power required for the corresponding fluid pressure drop from Figure 8 is also presented in Figure 8. It can be seen clearly that the required pumping power increases for larger mass flow rates. In fact, at higher mass flow rates, the effect of the mass flow rate on the operating temperature of the triple-junction CPV cells and thus on the system efficiency is reduced. Therefore, finding the optimum mass flow rate that resulted in higher system electrical conversion efficiency and lower cost will introduce further work.

5.3. Effects of Inlet Liquid Temperature

Inlet liquid temperature is another parameter which can affect the components temperatures of the solar receiver and thus the system output power. The components temperatures of the receiver for different inlet dimethyl silicon oil temperatures are shown in Figure 9 with the concentration factor of 400 suns and a mass flow rate of 0.40 kg/s. It can be observed that the increase in the inlet liquid temperature results in the triple-junction CPV cells temperature increase. This phenomenon makes a decrease in the system electrical conversion efficiency. Therefore, the lower inlet liquid temperatures correlated with the higher system electrical conversion efficiency when holding all other parameters constant. It can be also observed from Figure 9 that the increase in the inlet liquid temperature results in the increase of the glass cover temperature and the aluminium plate temperature, causing also the outlet liquid temperature rise. Therefore, the conclusion can be made that the inlet liquid temperature plays an important role in the system output power. In order to maximise the system electrical conversion efficiency, the inlet liquid temperature should be kept as low as possible.

Figure 9: Dependence of the components temperatures of the receiver on inlet liquid temperature (, , , and ).

6. Conclusions

The main novelty of the dense-array HCPV system with triple-junction CPV cells is the combination of a dish concentrator with a direct liquid-immersed solar receiver. A theoretical model of the direct liquid-immersed solar receiver with triple-junction CPV cells has been described. The results prove the technical feasibility of direct liquid immersion cooling for a dense-array HCPV system based on triple-junction CPV cells. In addition, the simulation results show that the electrical conversion efficiency of the dense-array HCPV system is very high for a series of operating conditions. The concentration factor, the mass flow rate, and the inlet liquid temperature have a major effect on the temperature of the triple-junction CPV cells and, by extension, system output power. The flow rate selection should match the concentration factor to keep the triple-junction CPV cells temperature lower and increase the electrical conversion efficiency of the dense-array HCPV system.

The presented model allows the optimization of the direct liquid-immersed solar receiver and the dense-array HCPV system. The effect of any design parameter changes on the electrical conversion efficiency of the dense-array HCPV system can be obtained. Moreover, for a given design and set of operating parameters, the model can be used to compute the annual electrical output of the dense-array HCPV system.

Nomenclature

| Area, m²
: | Concentration ratio
: | Specific heat, J/(kg·K)
: | Hydraulic diameter, m
: | Electrical power output, W
: | Friction factor
: | Radiation focused on the solar cells, W
: | Heat transfer coefficient, W/(m²·K)
: | Total radiation, W/m²
: | Beam radiation, W/m²
: | Length, m
: | Mass flow rate, kg/s
Nu: | Nusselt number
Re: | Reynolds number
Pr: | Prandtl number
: | Pressure, Pa
: | Power, W
: | Reflectivity
: | Temperature, K
: | Velocity, m/s
: | Volumetric flow rate, m³/s
: | Wind speed, m/s
: | Required pumping power, W.

Greek Symbols

: | Absorptance
: | Relative temperature coefficient of the solar cell efficiency, /K
: | Emissivity
: | Thermal conductivity, W/(m·K)
: | Dynamic viscosity, Pa·s
: | Density, Kg/m³
: | Stefan-Boltzmann constant, W/(m²·K⁴)
| Efficiency.

Subscripts

: | Ambient efficiency
: | Triple-junction solar cells
: | Dish concentrator
: | Fluid
: | Inlet fluid
: | Outlet fluid
: | Glass
: | Mean
: | Solar module
opt: | Optical
: | Aluminium plate
pv: | Photovoltaic
: | Sky
: | Reference or radiative
el: | Electrical.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

This work was financially supported by National Natural Science Foundation of China (51306077), Natural Science Foundation of Jiangsu Province (BK20130518), Natural Science Foundation of Jiangsu Colleges and Universities (13KJB480002), China Postdoctoral Science Foundation (2014M551513), Postdoctoral Science Foundation of Jiangsu Province (1401141C), and Training Project for Young Teachers of Jiangsu University.

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