Advanced modeling and performance analysis of a photovoltaic-thermal double compression heat pump for industrial thermal applications

This study focuses on the modeling and analysis of the performance of a Photovoltaic-Thermal (PVT) Double Compression Heat Pump system for industrial thermal applications. The main goal of the study is to assess the viability of the integrated system for high-temperature process heat. The performance of the PVT system under varying climatic conditions is assessed using MATLAB, while the double compression heat pump is simulated in Engineering Equation Solver (EES). Validation of the PVT model is achieved using an experimental setup and data obtained from London, Ontario. The heat pump model is compared to a multi-stage compression-throttle water-based high-temperature heat pump from previous studies, yielding a root mean square error (RMSE) of 0.4 for its Coefficient of Performance (COP). Under validated conditions, the heat pump achieves a COP of 3.0 at a 30 °C source and a 120 °C sink, demonstrating effective heat delivery. Sensitivity analysis using contour plots and regression techniques reveals that COP values of up to 7.0 are achievable at source temperatures of 45 °C–50 °C and sink temperatures of 90 °C–120 °C. Conversely, lower source temperatures and higher sink temperatures lead to decreased efficiency, with COP dropping below 3.0. Regression analysis further highlights the stronger impact of sink temperature on COP compared to source temperature, emphasizing the need to optimize sink conditions for improved performance. In conclusion, the study highlights the potential of the PVT–double compression heat pump system to integrate solar PV technology into industrial processes, enhance energy efficiency, and promote sustainable operations.

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Publication Details

Journal
Renewable Energy
Published
2025-09-10
DOI
https://doi.org/10.1016/j.renene.2025.124347
Primary Topic
Solar Thermal and Photovoltaic Systems
Type
article
Field-Weighted Citation Impact
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article

Advanced modeling and performance analysis of a photovoltaic-thermal double compression heat pump for industrial thermal applications

Francis Njoka, Njuki Mureithi, Robert Kinyua, Veronica Ngunzi et al.
Renewable Energy
Solar Thermal and Photovoltaic Systems
article

Advanced modeling and performance analysis of a photovoltaic-thermal double compression heat pump for industrial thermal applications

Francis Njoka, Njuki Mureithi, Robert Kinyua, Veronica Ngunzi, Joshua M. Pearce
article en

Abstract

This study focuses on the modeling and analysis of the performance of a Photovoltaic-Thermal (PVT) Double Compression Heat Pump system for industrial thermal applications. The main goal of the study is to assess the viability of the integrated system for high-temperature process heat. The performance of the PVT system under varying climatic conditions is assessed using MATLAB, while the double compression heat pump is simulated in Engineering Equation Solver (EES). Validation of the PVT model is achieved using an experimental setup and data obtained from London, Ontario. The heat pump model is compared to a multi-stage compression-throttle water-based high-temperature heat pump from previous studies, yielding a root mean square error (RMSE) of 0.4 for its Coefficient of Performance (COP). Under validated conditions, the heat pump achieves a COP of 3.0 at a 30 °C source and a 120 °C sink, demonstrating effective heat delivery. Sensitivity analysis using contour plots and regression techniques reveals that COP values of up to 7.0 are achievable at source temperatures of 45 °C–50 °C and sink temperatures of 90 °C–120 °C. Conversely, lower source temperatures and higher sink temperatures lead to decreased efficiency, with COP dropping below 3.0. Regression analysis further highlights the stronger impact of sink temperature on COP compared to source temperature, emphasizing the need to optimize sink conditions for improved performance. In conclusion, the study highlights the potential of the PVT–double compression heat pump system to integrate solar PV technology into industrial processes, enhance energy efficiency, and promote sustainable operations.

Renewable EnergyVol. 256
Western University (CA), Kenyatta University (KE), Jomo Kenyatta University of Agriculture and Technology (KE), Polytechnique Montréal (CA)
Openalex Percentile: Top 84%
Solar Thermal and Photovoltaic Systems
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