Experimental and Numerical Study on the Cooling Performance of Fins and Metal Mesh Attached on a Photovoltaic Module

Kim, Jaemin; Bae, Sangmu; Yang, Yu; Nam, Yujin

doi:10.3390/en13010085

Cited by 40 publications

(10 citation statements)

References 9 publications

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“…PVT/PCM with used nanofluid (SiO 2 /water) increased thermal efficiency up to 10.40%. By contrast, temperature and electrical efficiency were similar to pure water with PCM [24].…”

Section: Introductionmentioning

confidence: 81%

“…CWs were arranged in serpentine on the backside of the PV module, and fins formed contiguously without space between them. Table 2 shows the specifications of the CWIRAF components [22][23][24]. The CWs are characterised by suitable heat transfer coefficient, lower thermal conductivity, and high absorbent capacity, which helps to the distribution of water to all CWs attached at the behind of the PV module without using extra power.…”

Section: Passive Coolingmentioning

confidence: 99%

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Experimental comparative study on using different cooling techniques with photovoltaic modules

Alktranee

Bencs

2023

J Therm Anal Calorim

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Overcoming the issue of photovoltaic (PV) module productivity at high temperatures is one of the most critical obstacles facing its use. PV cells are made of silicon, which loses its properties at high temperatures, degrading the PV module work. The present research compares cotton wicks integrated with rectangular aluminium fins (CWIRAFs) submerged in water as passive cooling with an absorbing plate and copper pipes attached at the PV module backside as active cooling. Compared with the PV module without cooling, CWIRAFs have better performance with the PV module than active cooling owing to evaporative cooling and increased heat dissipation area represented by wet cotton bristles integrated. The PV module is exposed to significant performance degradation without cooling in hot climate conditions. As a result, using CWIRAFs with the PV module had reduced the temperature by 31.4%, increased the power by up to 66.6%, and increased the electrical efficiency from 3.12 to 8.6%. Active cooling methods have reduced the PV temperature by 20.8%, increased the power by 56.7%, and enhanced electrical efficiency by 7.9%. Removing excess heat from the backside of the PV module via circulating water has improved the thermal efficiency and overall efficiency of the PVT system by about 26.3 and 34.2%, respectively.

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“…PVT/PCM with used nanofluid (SiO 2 /water) increased thermal efficiency up to 10.40%. By contrast, temperature and electrical efficiency were similar to pure water with PCM [24].…”

Section: Introductionmentioning

confidence: 81%

Section: Passive Coolingmentioning

confidence: 99%

Experimental comparative study on using different cooling techniques with photovoltaic modules

Alktranee

Bencs

2023

J Therm Anal Calorim

View full text Add to dashboard Cite

show abstract

“…Apart from the passive [6,7,8] and active cooling methods [9], TEGs which utilized both Thomson and Peltier and Seebeck [10] effects were investigated [11].…”

Section: Introductionmentioning

confidence: 99%

Use of a 2-layer thermoelectric generator structure for photovoltaics cells cooling and energy recovery

Loumakis

Ramirez-Iniguez

2021

E3S Web Conf.

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A 2-layer thermoelectric generator was tested as a solution to increase the output of a PV cell. A number of practical experiments were carried out on both single and two combined thermoelectric generator (TEG) configurations connected in series with photovoltaic (PV) cells and connected to a load independently from each other. Testing was performed using a class AAA solar simulator system Sol3A and under real outdoor weather conditions. The results show a reduction of the maximum cell temperature by 10.3 ° on average and at the same time an increase in the tested photovoltaics-thermo-generators (PV-TEGs) voltage output of the proposed hybrid systems by 28.56-30.54% compared to the plain PV cell. It was experimentally confirmed that the TEGs-PV structure performs better than the bare PV cell during decline of insolation utilising, in addition to the limited at this time solar energy, the heat accumulated by the multilayer structure components. Experiments showed that for the selected period of time (1600s) the energy output increased by 27.6% compared to a plain PV cell. For a constant level of artifical light (1000W/m2) the PV-TEG’s hybrid system showed an increase of energy yield of 3.1% compared to a plain PV system.

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“…In this aspect, renewable energy sources (RES) like biomass, solar, hydro, and wind are gaining the interest of researchers [1,2]. Among these RES, solar energy is a widely and freely available energy source, which can be easily captured directly through a photovoltaic (PV) system [3,4]. Some factors which emphasize the importance of solar energy are listed below:…”

Section: Introductionmentioning

confidence: 99%

Optimal PV Parameter Estimation via Double Exponential Function-Based Dynamic Inertia Weight Particle Swarm Optimization

et al. 2020

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Parameters associated with electrical equivalent models of the photovoltaic (PV) system play a significant role in the performance enhancement of the PV system. However, the accurate estimation of these parameters signifies a challenging task due to the higher computational complexities and non-linear characteristics of the PV modules/panels. Hence, an effective, dynamic, and efficient optimization technique is required to estimate the parameters associated with PV models. This paper proposes a double exponential function-based dynamic inertia weight (DEDIW) strategy for the optimal parameter estimation of the PV cell and module that maintains an appropriate balance between the exploitation and exploration phases to mitigate the premature convergence problem of conventional particle swarm optimization (PSO). The proposed approach (DEDIWPSO) is validated for three test systems; (1) RTC France solar cell, (2) Photo-watt (PWP 201) PV module, and (3) a practical test system (JKM330P-72, 310 W polycrystalline PV module) which involve data collected under real environmental conditions for both single- and double-diode models. Results illustrate that the parameters obtained from proposed technique are better than those from the conventional PSO and various other techniques presented in the literature. Additionally, a comparison of the statistical results reveals that the proposed methodology is highly accurate, reliable, and efficient.

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Experimental and Numerical Study on the Cooling Performance of Fins and Metal Mesh Attached on a Photovoltaic Module

Cited by 40 publications

References 9 publications

Experimental comparative study on using different cooling techniques with photovoltaic modules

Experimental comparative study on using different cooling techniques with photovoltaic modules

Use of a 2-layer thermoelectric generator structure for photovoltaics cells cooling and energy recovery

Optimal PV Parameter Estimation via Double Exponential Function-Based Dynamic Inertia Weight Particle Swarm Optimization

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