Performance and ARX Modelling of a Solar Vapour Compression Refrigeration System

Authors

  • Somjet Pattarapanitchai Department of Physics, Faculty of Science, Silpakorn University, Nakhon Pathom, Thailand
  • Serm Janjai Department of Physics, Faculty of Science, Silpakorn University, Nakhon Pathom, Thailand
  • Sattra Sirikaew Department of Physics, Faculty of Science, Silpakorn University, Nakhon Pathom, Thailand
  • Bilash Kanti Bala Department of Electrical and Electronic Engineering, Prime University, Dhaka, Bangladesh

Keywords:

Solar Vapour Compression Refrigeration System, PV Module, Cooling, Food and Agroproducts, ARX Modelling

Abstract

This study presents an experimental performance and an Auto-Regressive with Exogenous variable (ARX) modelling of a solar photovoltaic (PV) operated vapour compression refrigeration system. The system is composed of a conventional refrigerator and PV modules. The performance of the system was evaluated in terms of its cooling effect suitable for storage of food and agricultural products. The performance analysis clearly shows that a DC electric motor operated by solar PV with storage of electrical energy in batteries can be used for domestic applications using an environment-friendly renewable resource of solar energy. The ARX modelling of the system was performed. The agreement between the ARX simulated cooling temperature inside the cooling chamber and the measured cooling temperature inside the cooling chamber was good, with the discrepancy in terms of root mean square difference and mean bias difference being less than 10%. This finding suggests that ARX modelling provides a simple method for evaluating the system performance. The vapour compression solar refrigeration system can be used for cooling household products where electricity is unreliable or the electrical grid system is non-existent.

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Published

30 June 2022

How to Cite

Pattarapanitchai, S., Janjai, S., Sirikaew, S., & Bala, B. K. . (2022). Performance and ARX Modelling of a Solar Vapour Compression Refrigeration System. Journal of Renewable Energy and Smart Grid Technology, 17(1), 1–16. Retrieved from https://ph01.tci-thaijo.org/index.php/RAST/article/view/245280

Issue

Vol. 17 No. 1 (2022): January - June

Section

Articles

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