Numerical analysis and optimization of a novel photovoltaic thermal solar unit improved by Nano-PCM as an energy storage media and finned collector

Shakibi, Hamid; Shokri, Afshar; Sobhani, Behnam; Yari, Mortaza

doi:10.1016/j.rser.2023.113230

Cited by 40 publications

(3 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The PIP value was overestimated as a result of PV string configuration, which takes the average value of the two PV cells' electrical current during operation. To boost the production of electricity in PV/T (photovoltaic/thermal) collectors, Shakibi et al, [34] combined a nanoparticle-based PCM layer with finned collectors as a capacitor. To ascertain how the nanophase change material layer affects the system's efficiency as mentioned, investigated the distribution of temperature within the layer of phase-change material in its solid and melted states.…”

Section: Literature Review 21 Passive Coolingmentioning

confidence: 99%

Passive and Active Techniques for Cooling Photovoltaic Cell using PCM: An Investigation of Recent Advances

Mohammed J. Mohammed,

Wissam Hashim Khalil,

Anas Bouguecha

et al. 2024

ARFMTS

View full text Add to dashboard Cite

Photovoltaic (PV) technology is one of many renewable energy sources, which converts solar energy directly received into electricity. In recent years, PV has advanced quickly as researchers try to make it more effective. 80% of the solar radiation that hits PV cells is absorbed, but only 12–18% of that energy is converted into electricity, with a maximum conversion rate of 24%. This indicates that a significant amount of sunlight is lost irretrievably. when a significant portion of the solar energy that is absorbed but not used by the photovoltaic process is converted to heat, which causes PV cells' operating temperature to increase above their design temperature, Consequently, the cell's effectiveness declines as a result of this increase. The crystalline silicon-based PV cells’ efficiency drops by 0.5% for each Celsius increase in temperature of operating. When operating temperature of cell exceeds design temperature, open-circuit voltage decreases significantly while the closed-circuit current slightly increases. Research has shown that PCMs can be applied in a variety of ways to enhance performance of PV cells, including as a coating applied directly onto the surface of the modules, as a heat exchanger in contact with module's back, or as an integrated component within the module itself. One recent advancement in the area of PCM-based cooling of PV modules is the development of hybrid cooling systems that combine PCMs with other cooling methods, such as air or water cooling. These hybrid systems have been shown to significantly improve the temperature stability and efficiency of PV modules compared to single PCM-based systems. PCMs have unique thermal properties that make them suitable for use in cooling systems because they can store and release thermal energy when phase transitions occur due to their high latent heat capacities. Recommendations for the use of phase change materials in Photovoltaic cooling, continue to research and develop new phase change material-based cooling systems that are more stable, have higher thermal conductivity and are effective in a wider range of temperatures.

show abstract

Section: Literature Review 21 Passive Coolingmentioning

confidence: 99%

Passive and Active Techniques for Cooling Photovoltaic Cell using PCM: An Investigation of Recent Advances

Mohammed J. Mohammed,

Wissam Hashim Khalil,

Anas Bouguecha

et al. 2024

ARFMTS

View full text Add to dashboard Cite

show abstract

“…In the investigation by Shakibi et al (2023), [33] they designed and assessed an advanced solar photovoltaic-thermal (PVT) unit. The incorporation of multi-walled carbon nanotube (MWCNT) nanoparticles into the phase-change material (PCM) was employed to establish a homogeneous cooling medium.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Nanofluid Hybrid Solar Collectors through Artificial Intelligence Models

Margoum,

Hajji,

Aneli

et al. 2024

Energies

View full text Add to dashboard Cite

This study systematically explores and compares the performance of various artificial-intelligence (AI)-based models to predict the electrical and thermal efficiency of photovoltaic–thermal systems (PVTs) cooled by nanofluids. Employing extreme gradient boosting (XGB), extra tree regression (ETR), and k-nearest-neighbor (KNN) regression models, their accuracy is quantitatively evaluated, and their effectiveness measured. The results demonstrate that both XGB and ETR models consistently outperform KNN in accurately predicting both electrical and thermal efficiency. Specifically, the XGB model achieves remarkable correlation coefficient (R2) values of approximately 0.99999, signifying its superior predictive capabilities. Notably, the XGB model exhibits a slightly superior performance compared to ETR in estimating electrical efficiency. Furthermore, when predicting thermal efficiency, both XGB and ETR models demonstrate excellence, with the XGB model showing a slight edge based on R2 values. Validation against new data points reveals outstanding predictive performance, with the XGB model attaining R2 values of 0.99997 for electrical efficiency and 0.99995 for thermal efficiency. These quantitative findings underscore the accuracy and reliability of the XGB and ETR models in predicting the electrical and thermal efficiency of PVT systems when cooled by nanofluids. The study’s implications are significant for PVT system designers and industry professionals, as the incorporation of AI-based models offers improved accuracy, faster prediction times, and the ability to handle large datasets. The models presented in this study contribute to system optimization, performance evaluation, and decision-making in the field. Additionally, robust validation against new data enhances the credibility of these models, advancing the overall understanding and applicability of AI in PVT systems.

show abstract

“…This paper elaborates on using solar energy to generate thermal energy and storage systems by proposing phase change materials as the collector fluid for the thermal energy storage system (Muruganantham and Balaji, 2021). The researcher (Shakibi et al, 2023) combines finned collectors with a nanoparticle-based phase change material (PCM) layer to enhance electricity generation in photovoltaic/thermal (PV/T) collectors. This combination results in 10%-24% of thermal efficiency improvements.…”

Section: Introductionmentioning

confidence: 99%

Modelling and optimization of phase change materials (PCM)-based passive cooling of solar PV panels in multi climate conditions

Durez,

Ali,

Waqas

et al. 2023

Front. Energy Res.

View full text Add to dashboard Cite

To address the increasing energy demand, replacing conventional energy systems with non-conventional resources like solar power generation is crucial. Photovoltaic (PV) panels play a significant role in harnessing solar energy and converting it into electrical power. However, the solar cells’ temperature dramatically influences the panel’s performance, particularly in hot climates. In this study, a detailed mathematical model is developed and conducted simulations using three different phase change materials (PCMs)—RT21, RT35, and RT44—integrated with PV panels in various climate conditions worldwide during the summer season. An optimization model is also created using MATLAB and a genetic algorithm to identify the most suitable PCM for specific climate zones. The findings revealed that incorporating PCM resulted in a surface temperature reduction of PV panels, leading to a 6% increase in efficiency and a 16% boost in electrical output. Specifically, when using a PCM with a melting point of 21°C, the maximum cell temperature during summer operation decreased from 65°C to 38°C. Similar temperature reductions were observed when using PCMs with melting points of 35°C and 44°C. Current analysis demonstrates that the correct selection of a phase change material can decrease panel temperature by approximately 39% in June. Furthermore, PCM with a melting point of 21°C exhibited the best outcomes in terms of maximum electrical performance, efficiency, and PV cell temperature reduction.

show abstract

Numerical analysis and optimization of a novel photovoltaic thermal solar unit improved by Nano-PCM as an energy storage media and finned collector

Cited by 40 publications

References 45 publications

Passive and Active Techniques for Cooling Photovoltaic Cell using PCM: An Investigation of Recent Advances

Passive and Active Techniques for Cooling Photovoltaic Cell using PCM: An Investigation of Recent Advances

Optimizing Nanofluid Hybrid Solar Collectors through Artificial Intelligence Models

Modelling and optimization of phase change materials (PCM)-based passive cooling of solar PV panels in multi climate conditions

Contact Info

Product

Resources

About