Comparative study to use nanofluid ZnO and CuO with phase change material in photovoltaic thermal system

Manigandan, S.; Kumar, Vasanth

doi:10.1002/er.4442

Cited by 56 publications

(23 citation statements)

References 29 publications

(59 reference statements)

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“…From the figure it is clear that, the electrical output is extreme at 12.30 hours. 13,22 For instance, at 1.00 PM the difference between MWCNT on Al 2 O 3 and CuO is 3% and 2%, respectively. Among all nanofluids, MWCNT recorded a noteworthy increment in the power system rather than other fluids.…”

Section: Electrical Outputmentioning

confidence: 99%

“…Among all nanofluids, MWCNT recorded a noteworthy increment in the power system rather than other fluids. 12,13 The efficiency of the system powered by MWCNT is plotted in the Figure 8. Similar trend was recently explained by Nasrin et al 22 The electrical output increases to peak from 12.30 PM to 1.00 PM and then starts to lose its heat and there is obvious drop in electrical output.…”

Section: Electrical Outputmentioning

confidence: 99%

“…Meanwhile, only 5 to 25% have converted as electrical output and remaining is wasted by absorption and reflection. 12 Manigandan and Kumar, 13 made the comparative analysis of the PV/T system with CuO and ZnO. Hence, PV is replaced by PV/T (photovoltaic thermal system) to utilize the maximum heat energy emitted during the conversion process.…”

Section: Introductionmentioning

confidence: 99%

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Progress of MWCNT, Al ₂ O ₃ , and CuO with water in enhancing the photovoltaic thermal system

et al. 2019

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Hybrid photovoltaic thermal system is an effective method to convert solar energy into electrical and thermal energy. However, its effectiveness is widely affected due to the high temperature of photovoltaic panel, and it can be minimized by employing nanofluids to the PV/T systems. In this research, the effect of various nanoparticles on the PV/T systems was studied experimentally. The nanofluids Al 2 O 3 , CuO, and multiwall carbon nanotube (MWCNT) were dispersed with water at different volume fractions of 0, 0.5, 1, 2.5, and 5 (vol%) using ultrasonication process. The effect of nanomaterials on viscosity and density was classified. All tests were carried out in an outdoor laboratory setup for calibrating the PV temperatures, thermal conductivity, electrical power, electrical efficiency, and overall efficiency. In addition, the energy analyses were also made to estimate the loss of heat owing to the nanofluids. Results show that use of the nanofluid increased the electric power and electrical efficiency of PV/T compared with water. Furthermore, MWCNT and CuO reduced the cell temperature by 19%. Consequently, the nanofluids MWCNT, Al 2 O 3 , and CuO produced the impressive values of 60%, 55%, and 52% increase in an average electrical efficiency than conventional PV. Particularly, the MWCNT produced superior results compared with other materials. It is evidently clear from the result that the introduction of the nanofluid increases the thermal efficiency without adding any extra energy to the system. Moreover, insertion of Al 2 O 3 , CuO, and MWCNT on PV/T system increases the exergy efficiency more than conventional PV module.How to cite this article: Sangeetha M, Manigandan S, Chaichan MT, Kumar V. Progress of MWCNT, Al 2 O 3 , and CuO with water in enhancing the photovoltaic thermal system. Int J Energy Res.

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Section: Electrical Outputmentioning

confidence: 99%

Section: Electrical Outputmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Progress of MWCNT, Al ₂ O ₃ , and CuO with water in enhancing the photovoltaic thermal system

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“…The PV/T system using nanofluid ZnO and CuO with PCM is investigated experimentally by Manigandan and Kumar. 23 The results show that the PVT/PCM/CuO system achieved 15% high electric output compared with conventional module. Kalkan et al 24 carried out a numerical investigation on PV/T systems with extended surfaces.…”

Section: Introductionmentioning

confidence: 94%

“…The results indicate that a better overall efficiency was acquired as Reynolds number increased, and the overall efficiency also increased as the fin length increased. The PV/T system using nanofluid ZnO and CuO with PCM is investigated experimentally by Manigandan and Kumar . The results show that the PVT/PCM/CuO system achieved 15% high electric output compared with conventional module.…”

Section: Introductionmentioning

confidence: 99%

Performance optimization of a photovoltaic/thermal collector using microencapsulated phase change slurry

2019

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Summary In a photovoltaic/thermal (PV/T) collector, a portion of absorbed solar energy is transformed into electrical energy, and the remaining part is transformed into thermal energy. Increasing waste heat collection and energy conversion rates are important to improve the performance of the PV/T collector. The utilization of microencapsulated phase change slurry (MPCS) in a PV/T collector to cool photovoltaic modules is an effective way, and electrical and thermal performances of the collector are improved. To investigate influences of operating parameters on performances of PV/T collector, numerical simulation is put into effect to analyze influences of the mass fraction of MPCS on the collector performance. The influences of MPCS mass flow rate and collector channel height on collector performances are also studied. When the flow rate is 0.005 kg/s and the channel height is 0.010 m, the PV/T collector obtains the best net efficiency with a MPCS mass concentration of 20 wt%. But electrical efficiency difference between 15 and 20 wt% is not obvious. With the growth in mass fraction, PV temperature drops more and more slowly because outlet fluid has not fully melt. Take PV/T collector performances into consideration, 15 wt% MPCS is a better choice to cool photovoltaic modules.

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Mathematical and neural network models for predicting the electrical performance of a PV/T system

et al. 2019

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Summary There are many photovoltaic/thermal (PV/T) systems' designs that are used mainly to reduce the temperature of the PV cell by using a thermal medium to cool the photovoltaic module. In this study, a PV/T system uses nano‐phase change material (PCM) and nanofluid cooling system was adopted. Three cooling models were compared using nanofluid (SiC‐water) and nano‐PCM to improve the performance and productivity of the PV/T system. Three mathematical models were developed for linear prediction, and their results were compared with the predicted artificial neural network results, results were verified, and experimental results were appropriate. Three common evaluation criteria were adopted to compare that the results of proposed forecasting models with other models developed in many research studies are done, including the R2, mean square error (MSE), and root‐mean‐square error (RMSE). Besides, different experiments were implemented using varying number of hidden layers to ensure that the proposed neural network models achieved the best results. The best neural prediction models deployed in this study resulted in good R2 score of 0.81 and MSE of 0.0361 and RMSE and RMSE rate is 0.371. Mathematical models have proven their high potential to easily determine the future outcomes with the preferable circumstances for any PV/T system in a precise way to reduce the error rate to the lowest level.

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Comparative study to use nanofluid ZnO and CuO with phase change material in photovoltaic thermal system

Cited by 56 publications

References 29 publications

Progress of MWCNT, Al ₂ O ₃ , and CuO with water in enhancing the photovoltaic thermal system

Progress of MWCNT, Al ₂ O ₃ , and CuO with water in enhancing the photovoltaic thermal system

Performance optimization of a photovoltaic/thermal collector using microencapsulated phase change slurry

Mathematical and neural network models for predicting the electrical performance of a PV/T system

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