Next Article in Journal
A Nonlinear Dynamical View of Kleiber’s Law on the Metabolism of Plants and Animals
Previous Article in Journal
A First-Out Alarm Detection Method via Association Rule Mining and Correlation Analysis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Design and Thermodynamic Analysis of a Novel Solar CBS-PVT System Using Film-Based Beam Splitting Technology

1
School of Energy and Power Engineering, Northeast Electric Power University, Jilin 132012, China
2
School of Engineering Science, University of Science and Technology of China, Hefei 230027, China
*
Author to whom correspondence should be addressed.
Entropy 2024, 26(1), 31; https://doi.org/10.3390/e26010031
Submission received: 24 November 2023 / Revised: 25 December 2023 / Accepted: 26 December 2023 / Published: 27 December 2023

Abstract

:
An innovative solar concentrating beam splitting photovoltaic thermal (CBS-PVT) system using a half-trough concentrator (HTC) and a film spectrum filter (FSF) is proposed and studied in this study. The FSF used for this system is designed and its average reflectivity and transmissivity are 0.272 and 0.728 for the full spectrum range. Performance evaluation results of the CBS-PVT system reveal the design correctness of the system. When the N-S solar tracking error (STE) rises to 0.15°, the optical efficiency of the entire CSB-PVT system can be kept at 0.8653, showing good adaptable capacity to the STE. The operation feasibility analysis shows that the PV efficiency of the PV subsystem (PVS) is 0.314 and the overall system efficiency overall is 0.26. Parametric analysis results indicate that when the solar thermal collector tube (TCT) operating temperature rises, the total power and overall efficiency of the CSB-PVT system both rise first and then decrease. When the TCT temperature is about 225 °C, the CBS-PVT system reaches its maximum output power of 1003.6 W and the maximum overall efficiency of 0.261. When the PV cell module (PVCM) temperature increases, the total power and overall efficiency of the CBS-PVT system decrease linearly. When the PVCM temperature rises to 50 °C, the two parameters decrease to 952.9 W and 0.248.

1. Introduction

Solar energy is clean and inexhaustible, and has been widely studied in recent years [1,2,3,4]. Solar thermal, PV power, solar photochemistry, and solar photobiological utilizations are several main solar application approaches. In the current state, solar thermal [5,6,7] and PV power [8,9,10] are the main ways to achieve large-scale solar utilizations.
In PV power generation, to reduce the solar power costs, it will be effective to increase the solar intensity by using solar concentration to reduce the number of PV cells. Among different kinds of solar concentrators, the parabolic trough concentrator (PTC) is the most mature in the world and can be applied in both solar PV and thermal power systems. In addition, the operating characteristics of PV cells depends on the solar spectrum. Solar PV–thermal systems using spectral splitting can solve this problem to a certain degree [11,12,13,14]. It is a cutting-edge technology in the field of solar energy utilization research. Generally, the spectral filter (SF) for PV–thermal systems can be divided into a solid film spectral filter (FSF) and a nanofluid spectral filter (NSF) [15]. When the PV–thermal system employs the SF and the solar concentrator at the same time, the technology can be called concentrating beam splitting (CBS) technology. The CBS technology can be utilized in PV–thermal systems to increase the overall system efficiencies. In contrast with the traditional PV–thermal technology, the CBS technology can make the output heat transfer fluid temperature of the thermal utilization not limited by the PV cell temperature, thus improving the grade of output thermal energy as well as extending the application (especially the thermal utilization) scenarios of the PV–thermal system.
Many studies on different types of PV–T systems have been reported. Jiang et al. [16] proposed a two-stage concentrated PV–thermal hybrid system using PTC. A dimensionless optical model with the focal length of the PTC as the characteristic length was established. The SF was designed and its optical performance was tested. Liu et al. [17] proposed a new PV–thermal system with LFR and FSF. A performance analysis model of medium- and high-temperature solar energy utilization system was established and the total efficiency was calculated. They found that the PV–thermal system had higher efficiency compared with the pure concentrating PV (C-PV) system, and the overall efficiency of the system was less affected by temperature in contrast with the C-PV system. Todd et al. [18] studied the PV–thermal system with NSF and PTC. The nanofluids consisted of PDMS, ITO, and Au nanoparticles. The study indicated that the system electrical efficiency and thermal efficiency were 4% and 61%. A PV–thermal system based on a multimirror solar concentrator was designed by Wang et al. [19]. The thermodynamic estimation and optical evaluation of the PV–thermal system were conducted. Joshi and Dhoble [20] extensively classified and reviewed the research on PV–thermal systems in recent years, and mainly introduced the experimental works on different types of PV–thermal systems in the past decade.
The literature review reveals that for the practical applications of solar PV–thermal systems, large solar concentrators with high concentration ratio (CR) will bring a series of problems, for instance, high construction costs, high requirements for sun-tracking accuracy, the swing problem of solar receiver and photovoltaic cells with high installation height, etc. By contrast, solar concentrators with relatively lower CR will have better application potential for PV–thermal systems. Considering the maturity of PTC, the half-trough concentrator will be a good potential of a solar concentrator with low CR.
The main innovation of this study is the design and performance estimation of an innovative concentrating beam splitting photovoltaic thermal (CBS-PVT) system with a half-trough concentrator (HTC) and FSF. The CBS-PVT system and FSF are both designed. In addition, the working principle of the CBS-PVT system is given. The optical characteristics and thermodynamic estimations of the CBS-PVT system are carried out to reveal the design correctness and technical feasibility of the system. A parametric study is also launched to show the influences of typical factors on the operating performance of the CBS-PVT system.

2. Methods and Materials

2.1. Overall CBS-PVT System Design

Figure 1 shows a diagram of the overall CBS-PVT system. The system is mainly composed of the HTC, FSF, PV cell module (PVCM), thermal collector tube (TCT), and necessary auxiliary structures. The PVCM is arranged above the FSF. When the incident sunlight is reflected by the HTC, part of the light passes through the FSF and reaches the surface of the PVCM to generate power. The other part of the light will be reflected to the TCT to heat the heat transfer fluid (HTF) such as water or heat transfer oil flowing in the TCT for thermal application. The heated water can be used in the low-temperature application field, and the heated heat transfer oil can be applied in both low- and middle-temperature utilization conditions. Based on the initial design principle, the CBS-PVT system cannot be designed to have a very large concentration ratio, as the large concentration ratio will bring the problems of high requirements for sun-tracking accuracy and the swing problem of solar receiver and PV cells with high installation height.
Figure 1 also provides the CBS-PVT system design principle. In Figure 1, for the HTC, the focal length is F, the depth is Z, and the width is W. The width and height of the FSF are Wf and Hf. For the PVCM, its width is Ws, and its height is Hs. For the TCT, its diameter and height are Dt and Ht.
The equation of the HTC is
X 2 = 4 F Z
The CR of the HTC is
R g = W W s W s
The relative aperture of the HTC is
R a = W F
To study the operating characteristics of this CBS-PVT system, the geometric parameters were assumed and calculated, and are shown in Table 1.

2.2. Design of the FSF

The FSF used in this study is a spectrally selective transmission film. This study uses the Needle method to design and optimize the film system of the FSF for the CBS-PVT system. For monocrystalline silicon cells, the ideal FSF should have the following performances:
ρ λ = 0       ( 380   nm λ 1100   nm ) 1       ( λ < 380 nm , λ > 1100   nm )
τ λ = 1       ( 380   nm λ 1100   nm ) 0       ( λ < 380 nm , λ > 1100   nm )
where ρ λ and τ λ are the spectral reflectivity and spectral transmissivity of the FSF. λ is the wavelength of sunlight. For the spectral region of λ 1 ~ λ 2 , the average reflectivity and average transmissivity of the FSF are defined as follows:
ρ ave = λ 1 λ 2 ρ λ E λ d λ / λ 1 λ 2 E λ d λ
τ ave = λ 1 λ 2 τ λ E λ d λ / λ 1 λ 2 E λ d λ
where E λ is the spectral irradiance.
For the FSF design, the three materials are niobium trioxide, sodium hexafluoroaluminate, and germanium. The TFCalc (V330) software is used to carry out the FSF design. It is a mature optical film design software based on the Needle method and has been used in many film design studies by relevant researchers [21,22]. The design results of the spectral reflectivity of several FSFs with different film layers are provided in Figure 2, and are calculated and obtained by using the TFCalc software. The spectral filtering characteristics of the FSFs are given in Table 2. According to Table 2, FSFs with five and nine film layers have smaller ρ ave in 380~1100 nm, but higher τ ave in other wavelength ranges. The spectral filtering characteristics of the other three FSFs are similar. However, the FSF with 25 film layers can have the lowest τ ave in the wavelength range of <380 nm and >1100 nm compared to the other four FSFs. Therefore, the FSF with 25 film layers is selected to be used in the CBS-PVT system.
Figure 3a presents the spectral transmissivity curves of the selected FSF as well as the QE curve of monocrystalline silicon cells. The spectral transmissivity curve of the selected FSF is obtained by using the TFCalc (V330) software, as mentioned above. The target value curve of spectral transmissivity of FSF is determined according to the spectral response range of monocrystalline silicon cells, which can be seen in Ref. [23]. The QE curve of monocrystalline silicon cells and the solar spectral irradiance data were initially obtained in early relevant experiments and can be found in Refs. [23,24]. Figure 3b illustrates the spectral irradiance conditions of incident light on the PVCM and TCT under the influence of the FSF. The results show that for 250~2500 nm, the average transmissivity and average reflectivity of the FSF are 0.728 and 0.272, respectively.

2.3. Modeling Approaches

For this study, the optical characteristics estimation of the CBS-PVT system are conducted by means of MCRT [25], which is a probabilistic and statistical method for randomly sampling a large number of incident rays. The optical simulation code used in this paper is TracePro software. The thermodynamic estimation of the CBS-PVT system should consider two subsystems, which are the photovoltaic subsystem (PVS) and heat utilization subsystem (HUS). The corresponding calculation formulas for the PVS (i.e., the PVCM) of the CBS-PVT system are [17] as follows:
V oc , c , bs = h c V oc / λ 2 E g + n f k B T pvcm ln C R / e
I sc , c , bs = C R I sc , bs
I sc , bs = 0 ρ htc λ τ fsf λ E s λ Q E λ e λ h c A pvcm d λ
Q pvcm , bs = Q htc , in 0 ρ htc λ τ fsf λ d λ
P pvcm = F F V oc , c , bs I sc , c , bs
η pvcm = P pvcm / Q pvcm , bs
where P pvcm and η pvcm are the maximum power and photovoltaic efficiency of the PVCM. Tpvcm and Apvcm are the temperature and area of the PVCM. ρhtc and τfsf are the spectral reflectivity of the HTC and spectral transmissivity of the FSF.
This study assumes that the solar heat absorbed by the TCT will be applied for generating power. The energy reflected to the TCT is [17] as follows:
Q tct = Q htc , in 0 ρ htc λ ρ fsf λ d λ
where ρfsf is the spectral reflectivity of the FSF.
If the convection heat loss of the TCT is neglected, the relevant formulas for the HUS of the CBS-PVT system are [17] the following:
Q tct , a = Q htc , in 0 τ tct , shell λ ρ htc λ ρ fsf λ α tct λ d λ
Q tct , loss = A tct ε σ ( T tct 4 T 0 4 )
η th = Q tct , net Q tct = Q tct , a Q tct , loss Q tct
where Ttct is the operation temperature of the TCT. Qtct,a and Qtct,loss represent the radiation energy absorbed by the TCT and the radiation loss of the TCT. αtct is the spectral absorptivity of the TCT, Atct is the surface area of the TCT, and τtct,shell is the spectrum transmissivity of the TCT shell.
The thermal, exergic, and PV efficiencies of the whole CBS-PVT system are as follows [17,26]:
η sys , th = Q tct , net Q htc , in = Q tct , a Q tct , loss Q htc , in
η sys , pv = P pvcm Q htc , in
η exe = η sys , th 1 T 0 T tct + η sys , pv
where T 0 is the environment temperature and 1 T 0 / T tct is the Carnot efficiency. According to the relevant literature [26], the efficiency of actual heat engine is about 2/3 of the Carnot efficiency. Hence, the overall efficiency of the CBS-PVT system is [26]
η cbs - pvt = η sys , pv + 2 3 η plant η pb , net η sys , th 1 T 0 T tct
The electric power contributed by the HUS and that of the CBS-PVT system shall be [17,26]
P tct = 2 3 η plant η pb , net Q tct , net 1 T 0 T tct
P total = P pvcm + P tct

3. Results and Discussions

3.1. Optical Characteristics

To estimate the optical characteristics of the CBS-PVT system, a numerical model was established and its structural parameters could be seen in Section 2.1. The concentration ratio of this HTC is 25.67, which is obtained by using the concentration ratio definition formula (i.e., Equation (2)) when the width of the HTC and the width of the PVCM are assumed. The height of the FSF is 1506.25 mm, and that of the PVCM is 1543.75 mm. The HTC is defined as a perfect mirror. As mentioned above, the FSF with 25 film layers is selected, and the average transmissivity and average reflectivity of the FSF are 0.728 and 0.272, which are calculated and obtained by using Equations (6) and (7). The solar energy flux density (EFD) is 990 W/m2. In this part of the current study, the concentrating process and the adaptable capacity to solar tracking error (εtr) of the CBS-PVT system are analyzed.
In Figure 4, the two three-dimensional color maps are the EFD distributions on the PVCM and on the TCT, respectively. Figure 4 demonstrates that the EFD curve on the PVCM shows a three-section slope shape and that on the TCT is unimodal. According to the calculation, the average EFDs on the PVCM and on the TCT are 18,464 W/m2 and 3448.2 W/m2. The total radiation flux on the PVCM is 166.2 W, and that reflected onto the TCT is 62.1 W. As a result, the optical efficiencies of the PVCM, TCT, and CBS-PVT system are all 0.988, which are very close.
In order to study the adaptable capacity to STE of the CBS-PVT system, the MCRT method is used to simulate the optical process of the system under different N-S STE values. Figure 5 shows the EFD distributions on the PVCM and on the TCT when the STE changes. The results show that when the STE rises from 0° to 0.15°, the EFD curves on the PVCM and on the TCT both move to the right, but the EFD curve shape variations on the PVCM and on the TCT are relatively small. With the STE changes from 0° to 0.15°, the radiation energy on the TCT decreases from 62.1 W to 51.5 W, and that on the PVCM decreases from 166.2 W to 148.8 W.
The influences of STE on different optical efficiencies are shown in Figure 6. The results show that when the STE rises to 0.15°, the optical efficiency of the PVCM is η pvcm , opt = 0.883, that of the TCT is η tct , opt = 0.819, and that of the CBS-PVT system is η cbs - pvt , opt = 0.865.

3.2. Thermodynamic Estimation Results

The ρ ave and τ ave of the FSF were given in Section 2.2. The solar cells used in this study are assumed to be monocrystalline silicon cells. Table 3 provides the relevant constants needed in the operation estimation for the CBS-PVT system. The solar intensity is 1000 W/m2. It is assumed that the length of the HTC is 5 m, so the effective solar receiving area of the HTC is 3.85 m2, and the incident energy Qhtc,in is 3850 W. For the PVCM, V oc and FF are 0.706 V and 0.852. When Tpvcm is 30 °C, nf of the PVCM is 1.28, and rs is 0.012.
The operating temperatures of the TCT and T 0 are 200 °C and 25 °C. The diameter of the TCT is 30 mm. The average absorptivity of the TCT and average transmission rate of the TCT shell are 0.95. In this section, only the radiant heat loss of the TCT is considered. When all parameters are settled, the operation estimation results of the CBS-PVT system are shown in Table 4. The output power of the PVS is 837.4 W, and that of the HUS is 162.1 W. The photoelectric efficiency of the PVS is 0.314 and the overall system efficiency ηcbs-pvt is 0.26.
Table 5 presents a comparison of the CBS-PVT system and some other PV–thermal systems reported by relevant studies [14,18,29]. As different SFs have different beam splitting performances, the overall electric efficiency and thermal efficiency values of different PV–thermal systems are also different. Compared with the other typical PV–thermal systems using NSFs presented in Table 5, the CBS-PVT system of this study can have simpler layout and much lower initial investment costs. That is because the use of FSF can simplify the SF structure and reduce the investment costs of the SF to a certain degree. For instance, compared with a PVT system unit using indium tin oxide–ethylene glycol (ITO-EG) nanofluids and HTC, the initial investment cost of the proposed CBS-PVT system unit discussed in this section can be reduced by about USD 357.6 when the two PVT system units have the same output power. In addition, compared with PV–thermal systems using parabolic trough or other large solar concentrators, the CBS-PVT system can have smaller field requirements as it employs the HTC. These points make the CBS-PVT system suitable for applications in both large-scale and distributed PV–thermal utilization conditions. The scale of CBS-PVT units can be designed according to the actual demand. If the application condition is the distributed power and thermal supply in rural areas, the CBS-PVT unit can be made relatively smaller. Under that condition, the CBS-PVT unit can operate separately, or two units operate together. If the application condition is the large-scale power and thermal supply in a large suburban industrial site, there may be many CBS-PVT units connected in multiple rows and columns, and the CBS-PVT unit size may be larger.
In this section, the influences of two typical temperatures on the operating performance of the CBS-PVT system are estimated, which are the PVCM temperature Tpvcm and TCT operating temperature Ttct. When Tpvcm is 30 °C and the solar irradiance is 1000 W/m2, with Ttct changed, the power and efficiency parameters of the CBS-PVT system are shown in Figure 7. As shown in Figure 7, when Ttct rises from 50 °C to 350 °C, the radiation energy loss Qtct,loss of the TCT increases continuously; thus, the net heat flux Qtct,net obtained by the TCT decreases. The output power Pth of the HUS and the total output power Ptotal have the same changing trend, and they both reach the maximum points (166.2 W and 1003.6 W) when Ttct is about 225 °C.
The increase in Qtct,loss of the TCT leads to the reduction in ηth of the TCT as well as ηsys,th of the CBS-PVT system. When Ttct rises from 50 °C to 350 °C, ηexe and ηcbs-pvt of the CBS-PVT system both rise firstly and then drop down, and their maximal values are 0.297 and 0.261.
When Ttct is 200 °C and the solar irradiance is 1000 W/m2, with Tpvcm changed, the power and efficiency parameters of the CBS-PVT system are shown in Figure 8. The results reveal that when Ttct is fixed, with Tpvcm changed, Qtct,loss of the TCT and Pth of the HUS both remain unchanged, but Ppvcm of the PVS decreases, and that results in a decrease in Ptotal of the CBS-PVT system. When Tpvcm rises from 10 °C to 50 °C, Ptotal decreases from 1043.5 W to 952.9 W.
According to Figure 8, when Tpvcm changes, ηth of the TCT and ηsys,th of the CBS-PVT system do not change. But, due to the reduction in ηpvcm of the PVS, ηsys,pv, ηexe, and ηcbs-pvt of the CBS-PVT system all decrease slightly. When Tpvcm rises to 50 °C, ηsys,pv and ηcbs-pvt are reduced to 0.205 and 0.248, respectively. Hence, to increase the system output power and energy efficiency, reducing the PVCM temperature and keeping it at a reasonably low level would be useful.

4. Conclusions

Solar PV–thermal technology is a cutting-edge technology in the field of solar energy utilization research. To increase the overall efficiency of PV utilization, a solar CBS-PVT system based on HTC and FSF is proposed and studied in this study. The approach of designing the CBS-PVT system is presented and the FSF used for this system is also designed, of which the average reflectivity and transmission rate are 0.272 and 0.728 for the full spectrum range. Performance investigation of the CBS-PVT system demonstrates that the optical processes can match the operating principle of the CBS-PVT system, which reveals the design correctness of the system. When the N-S STE is increased to 0.15°, the optical efficiency of the CSB-PVT system can be kept at 0.8653, which shows good adaptable capacity to the STE. The operation feasibility analysis demonstrates that the photoelectric efficiency of the PVS is 0.314, and the overall system efficiency is 0.26. Parametric analysis indicates that with an increase in the TCT operating temperature, the total output power and overall efficiency of the CSB-PVT system both rise first and then decrease. When the TCT temperature is about 225 °C, the CBS-PVT system reaches its maximum output power of 1003.6 W and the maximum overall efficiency of 0.261. When the PVCM temperature increases, the photoelectric efficiency of the PVS is reduced, resulting in linear decreases in the total output power and overall efficiency. When the PVCM temperature rises to 50 °C, the total power decreases to 952.9 W, and the photovoltaic and overall efficiencies of the entire CBS-PVT system decrease to 0.205 and 0.248.
The CBS-PVT system can have simpler layout and lower initial investment costs due to the usage of FSF, and compared with PV–thermal systems using parabolic trough or other large solar concentrators, the CBS-PVT system can have smaller field requirements as it employs the HTC. These make the CBS-PVT system suitable for applications in both large-scale and distributed PV–thermal utilization conditions.

Author Contributions

Writing—original draft, G.W.; Writing—review & editing, J.L. and Z.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

Nomenclature

APVCMtotal area of solar cell (m2)
cvelocity of light in the vacuum (m/s)
CRconcentration ratio (-)
Dtdiameter of the TCT (mm)
echarge of an electron (C)
Egbandgap energy of the solar cells (eV)
Ffocal length (mm)
FFfill factor (-)
hPlanck constant (J·s)
Hfinstallation height of FSF (mm)
Hsinstallation height of solar cell (mm)
Htinstallation height of TCT (mm)
Iscshort circuit current (A)
kBBoltzmann constant (m2kg/(s2∙K))
nfdiode ideality factor of solar cell (-)
Ppvcmmaximum power of the PV cell (W)
Pthoutput power of the HUS (W)
Ptotaltotal output power (W)
QEexternal quantum efficiency (-)
Qhtc,inincident solar energy flux on the HTC (W)
Qpvcm,bssolar radiation flux delivered to the PVCM (W)
Qtctsolar radiation energy reflected to the TCT (W)
Qtct,losssolar radiation energy loss of the TCT (W)
Qtct,netnet heat flux obtained by the TCT (W)
Rarelative aperture (-)
Rgconcentration ratio of the HTC (-)
Rtradius of the TCT (mm)
T0environment temperature (°C)
Tpvcmtemperature of solar cell (°C)
Ttcttemperature of TCT (°C)
Vocopen circuit voltage (V)
Wwidth of the HTC (mm)
Wfwidth of the FSF (mm)
Wswidth of the solar cell (mm)
Zfocal depth (mm)
Greek Symbols
ρreflectance (-)
τtransmittance (-)
εtrsolar tracking error (deg)
ηefficiency (-)
λwavelength (nm)
Subscripts
aveaverage
bsbeam splitting
csolar concentration
cbs-pvtCBS-PVT system
exeexergic
fsffilm spectrum filter
htchalf-trough concentrator
optoptical
pvPV
pvcmPV cell module
syssystem
tctthermal collector tube
ththermal
trtracking
Abbreviations
CBS-PVTconcentrating beam splitting photovoltaic thermal
C-PVconcentrating photovoltaic thermal
EFDenergy flux density
EGethylene glycol
HTChalf-trough concentrator
HTFheat transfer fluid
HUSheat utilization subsystem
ITOindium tin oxide
FSFfilm spectral filter
NSFnanofluid spectral filter
PDMSpolydimethylsiloxane
PGpropylene glycol
PVphotovoltaic
PV–TPV and thermal
PVCMPV cell module
PVSphotovoltaic subsystem
SFspectral filter
STEsolar tracking error
TCTthermal collector tube

References

  1. Islam, M.T.; Huda, N.; Abdullah, A.B.; Saidur, R. A comprehensive review of state-of-the-art concentrating solar power (CSP) technologies: Current status and research trends. Renew. Sustain. Energy Rev. 2018, 91, 987–1018. [Google Scholar] [CrossRef]
  2. Li, G.; Xuan, Q.; Pei, G.; Su, Y.; Ji, J. Effect of non-uniform illumination and temperature distribution on concentrating solar cell-A review. Energy 2018, 144, 1119–1136. [Google Scholar] [CrossRef]
  3. Ashok, K.L.; Lakshmiprasad, C.N.; Ramaraj, G.; Sivasurya, G. Design, simulation of different configurations and life-cycle cost analysis of solar photovoltaic–water-pumping system for agriculture applications: Use cases and implementation issues. Clean Energy 2022, 6, 335–352. [Google Scholar]
  4. Bandaru, S.H.; Becerra, V.; Khanna, S.; Radulovic, J.; Hutchinson, D.; Khusainov, R. A Review of Photovoltaic Thermal (PVT) Technology for Residential Applications: Performance Indicators, Progress, and Opportunities. Energies 2021, 14, 3853. [Google Scholar] [CrossRef]
  5. Baharoon, D.A.; Rahman, H.A.; Omar, W.Z.W.; Fadhl, S.O. Historical development of concentrating solar power technologies to generate clean electricity efficiently-A review. Renew. Sustain. Energy Rev. 2015, 41, 996–1027. [Google Scholar] [CrossRef]
  6. Tehrani, S.S.M.; Taylor, R.A.; Saberi, P.; Diarce, G. Design and feasibility of high temperature shell and tube latent heat thermal energy storage system for solar thermal power plants. Renew. Energy 2016, 96, 120–136. [Google Scholar] [CrossRef]
  7. Xiao, T.; Liu, C.; Wang, X.; Wang, S.; Xu, X.; Li, Q.; Li, X. Life cycle assessment of the solar thermal power plant integrated with air-cooled supercritical CO2 Brayton cycle. Renew. Energy 2022, 182, 119–133. [Google Scholar] [CrossRef]
  8. Ram, J.P.; Babu, T.S.; Rajasekar, N. A comprehensive review on solar PV maximum power point tracking techniques. Renew. Sustain. Energy Rev. 2017, 67, 826–847. [Google Scholar] [CrossRef]
  9. Sheik, M.A.; Aravindan, M.K.; Cuce, E.; Dasore, A.; Rajak, U.; Shaik, S.; Manokar, A.M.; Riffat, S. A comprehensive review on recent advancements in cooling of solar photovoltaic systems using phase change materials. Int. J. Low-Carbon Technol. 2022, 17, 768–783. [Google Scholar] [CrossRef]
  10. Parida, B.; Iniyan, S.; Goic, R. A review of solar photovoltaic technologies. Renew. Sustain. Energy Rev. 2011, 15, 1625–1636. [Google Scholar] [CrossRef]
  11. Brekke, N.; Dale, J.; DeJarnette, D.; Hari, P.; Orosz, M.; Roberts, K.; Tunkara, E.; Otanicar, T. Detailed performance model of a hybrid photovoltaic/thermal system utilizing selective spectral nanofluid absorption. Renew. Energy 2018, 123, 683–693. [Google Scholar] [CrossRef]
  12. Alibakhsh, K.; Reza, D.; Rezaei, R.; Pourfayaz, F.; Kasaeian, G. Experimental investigation on the thermal behavior of nanofluid direct absorption in a trough collector. J. Clean. Prod. 2017, 158, 276–284. [Google Scholar]
  13. Liew, N.J.Y.; Lee, H. Numerical analysis of hybrid photovoltaic-thermal systems utilizing different spectral bandpass filters. Renew. Energy 2019, 144, 15–29. [Google Scholar] [CrossRef]
  14. Han, X.; Zhao, X.; Chen, X. Design and analysis of a concentrating PV/T system with nanofluid based spectral beam splitter and heat pipe cooling. Renew. Energy 2020, 162, 55–70. [Google Scholar] [CrossRef]
  15. Ju, X.; Xu, C.; Han, X.; Du, X.; Wei, G.; Yang, Y. A review of the concentrated photovoltaic/thermal (CPVT) hybrid solar systems based on the spectral beam splitting technology. Appl. Energy 2017, 187, 534–563. [Google Scholar] [CrossRef]
  16. Jiang, S.; Hu, P.; Mo, S.; Chen, Z. Optical modeling for a two-stage parabolic trough concentrating photovoltaic/thermal system using spectral beam splitting technology. Sol. Energy Mater. Sol. Cells 2010, 94, 1686–1696. [Google Scholar] [CrossRef]
  17. Liu, Y.; Hu, P.; Zhang, Q.; Chen, Z. Thermodynamic and optical analysis for a CPV/T hybrid system with beam splitter and fully tracked linear Fresnel reflector concentrator utilizing sloped panels. Sol. Energy 2014, 103, 191–199. [Google Scholar] [CrossRef]
  18. Otanicar, T.; Dale, J.; Orosz, M.; Brekke, N.; DeJarnette, D.; Tunkara, E.; Roberts, K.; Harikumar, P. Experimental evaluation of a prototype hybrid CPV/T system utilizing a nanoparticle fluid absorber at elevated temperatures. Appl. Energy 2018, 228, 1531–1539. [Google Scholar] [CrossRef]
  19. Wang, G.; Zhang, Z.; Chen, Z. Design and performance evaluation of a novel CPV-T system using nano-fluid spectrum filter and with high solar concentrating uniformity. Energy 2023, 267, 126616. [Google Scholar] [CrossRef]
  20. Joshi, S.; Dhoble, A. Photovoltaic-Thermal systems (PVT): Technology review and future trends. Renew. Sustain. Energy Rev. 2018, 92, 848–882. [Google Scholar] [CrossRef]
  21. Du, Y.; Zhu, M.; Sui, Z.; Yi, K.; Jin, Y.; He, H. Porous antireflective coatings with controlled thickness and refractive index on glass. J. Non-Cryst. Solids 2013, 363, 26–31. [Google Scholar] [CrossRef]
  22. Zhang, X.X.; Cai, S.; You, D.; Yan, L.H.; Lv, H.B.; Yuan, X.D.; Jiang, B. Template-Free Sol-Gel Preparation of Superhydrophobic ORMOSIL Films for Double-Wavelength Broadband Antireflective Coatings. Adv. Funct. Mater. 2013, 23, 4361–4365. [Google Scholar] [CrossRef]
  23. Ju, X.; Wang, Z.; Flamant, G.; Li, P.; Zhao, W. Numerical analysis and optimization of a spectrum splitting concentration photovoltaic–thermoelectric hybrid system. Sol. Energy 2012, 86, 1941–1954. [Google Scholar] [CrossRef]
  24. Gueymard, C.A.; Myers, D.; Emery, K. Proposed reference irradiance spectra for solar energy systems testing. Sol. Energy 2002, 73, 443–467. [Google Scholar] [CrossRef]
  25. Cheng, Z.D.; He, Y.L.; Cui, F.Q. A new modelling method and unified code with MCRT for concentrating solar collectors and its applications. Appl. Energy 2013, 101, 686–698. [Google Scholar] [CrossRef]
  26. Widyolar, B.; Jiang, L.; Winston, R. Spectral beam splitting in hybrid PV/T parabolic trough systems for power generation. Appl. Energy 2018, 209, 236–250. [Google Scholar] [CrossRef]
  27. Thornton, J.A.; Lamb, J.L. Sputter deposited Pt–Al2O3 graded cermet selective absorber coatings. Sol. Energy Mater. 1984, 9, 415–431. [Google Scholar] [CrossRef]
  28. Selvakumar, N.; Barshilia, H.C. Review of physical vapor deposited (PVD) spectrally selective coatings for mid-and high-temperature solar thermal applications. Sol. Energy Mater. Sol. Cells 2012, 98, 1–23. [Google Scholar] [CrossRef]
  29. Liang, H.; Wang, F.; Zhang, D.; Cheng, Z.; Zhang, C.; Lin, B.; Xu, H. Experimental investigation of cost-effective ZnO nanofluid based spectral splitting CPV/T system. Energy 2020, 194, 116913. [Google Scholar]
Figure 1. The CBS-PVT system diagram.
Figure 1. The CBS-PVT system diagram.
Entropy 26 00031 g001
Figure 2. Spectral reflectivity of five designed FSFs.
Figure 2. Spectral reflectivity of five designed FSFs.
Entropy 26 00031 g002
Figure 3. Spectral transmittance curves (a) and spectral filtering characteristics [24] (b) of the selected FSF.
Figure 3. Spectral transmittance curves (a) and spectral filtering characteristics [24] (b) of the selected FSF.
Entropy 26 00031 g003
Figure 4. EFD maps on the PVCM (a) and on the TCT (b).
Figure 4. EFD maps on the PVCM (a) and on the TCT (b).
Entropy 26 00031 g004
Figure 5. Effects of STE on EFD distributions on the PVCM (a) and on the TCT (b).
Figure 5. Effects of STE on EFD distributions on the PVCM (a) and on the TCT (b).
Entropy 26 00031 g005
Figure 6. ηpvcm,opt, ηtct,opt, and ηcbs-pvt,opt variations when the STE changes.
Figure 6. ηpvcm,opt, ηtct,opt, and ηcbs-pvt,opt variations when the STE changes.
Entropy 26 00031 g006
Figure 7. Powers (a) and efficiencies (b) of the CBS-PVT system when the TCT temperature changes.
Figure 7. Powers (a) and efficiencies (b) of the CBS-PVT system when the TCT temperature changes.
Entropy 26 00031 g007
Figure 8. Powers (a) and efficiencies (b) of the CBS-PVT system when the PVCM temperature changes.
Figure 8. Powers (a) and efficiencies (b) of the CBS-PVT system when the PVCM temperature changes.
Entropy 26 00031 g008
Table 1. Parameters of the CBS-PVT system.
Table 1. Parameters of the CBS-PVT system.
ItemValue
HTC apertural diameter800 mm
HTC focal distance1600 mm
HTC length300 mm
FSF height1506.25 mm
FSF width50 mm
PVCM height1543.75 mm
PVCM width30 mm
TCT diameter30 mm
TCT height1355 mm
Concentration ratio of the HTC25.67
Relative aperture of the HTC0.5
Table 2. The spectral filtering characteristics of the designed FSFs.
Table 2. The spectral filtering characteristics of the designed FSFs.
FSF Design SchemeIIIIIIIVV
Total layer number59131725
ρ ave (380~1100 nm)0.0590.0650.1050.0820.095
τ ave (380~1100 nm)0.9410.9350.8950.9180.905
ρ ave (<380 nm, >1100 nm)0.5150.7870.8670.8510.975
τ ave (<380 nm, >1100 nm)0.4850.2130.1330.1490.025
ρ ave (250~2500 nm)0.1640.2320.2790.2580.272
τ ave (250~2500 nm)0.8360.7680.7210.7420.728
Table 3. Constants in the thermodynamic estimation.
Table 3. Constants in the thermodynamic estimation.
ItemValueItemValue
V oc 0.706 VTtct200 °C
r s 0.012Atct0.471 m2
Apvcm0.15 m2 ε 2 × 10 7 T tct 2 + 5 × 10 5 T tct + 0.05 [27,28]
λ 2 1100 nm η plant 0.9
T 0 25 °C η pb , net 0.9
Tpvcm30 °C n f 1.28
Table 4. Thermodynamic estimation results.
Table 4. Thermodynamic estimation results.
ItemResultItemResult
Qhtc,in3850 W P total 999.5 W
Qpvcm,bs2662.7 W η pv 0.314
Qtct945.1 W η th 0.816
Ppvcm837.4 W η sys , th 0.211
Ptct162.1 Wηcbs-pvt0.260
Table 5. Comparison of several PV–thermal systems.
Table 5. Comparison of several PV–thermal systems.
PV–Thermal SystemConcentratorSF η sys , pv η sys , th
This studyHTCFSF0.2180.211
Ref. [14]Fresnel lensAg/CoSO4-PG0.07640.46
Ref. [18]Parabolic troughITO-Duratherm S0.040.61
Ref. [29]Fresnel lensZnO-EG0.1450.074
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Wang, G.; Liu, J.; Chen, Z. Design and Thermodynamic Analysis of a Novel Solar CBS-PVT System Using Film-Based Beam Splitting Technology. Entropy 2024, 26, 31. https://doi.org/10.3390/e26010031

AMA Style

Wang G, Liu J, Chen Z. Design and Thermodynamic Analysis of a Novel Solar CBS-PVT System Using Film-Based Beam Splitting Technology. Entropy. 2024; 26(1):31. https://doi.org/10.3390/e26010031

Chicago/Turabian Style

Wang, Gang, Jialin Liu, and Zeshao Chen. 2024. "Design and Thermodynamic Analysis of a Novel Solar CBS-PVT System Using Film-Based Beam Splitting Technology" Entropy 26, no. 1: 31. https://doi.org/10.3390/e26010031

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop