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Outdoor Climate as a Decision Variable in the Selection of an Energy-Optimal Refrigeration System Based on Natural Refrigerants for a Supermarket

Lawrence Drojetzki (lawrence.r.drojetzki@doctorate.put.poznan.pl) and Mieczyslaw Porowski
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Lawrence Drojetzki: Department of Environmental Engineering and Energy, Poznan University of Technology, 60-965 Poznań, Poland
Mieczyslaw Porowski: Department of Environmental Engineering and Energy, Poznan University of Technology, 60-965 Poznań, Poland

Energies, 2023, vol. 16, issue 8, 1-24

Abstract: This paper presents the results of a simulation study on the selection of an energy-optimal refrigeration system based on natural refrigerants as a function of outdoor climate parameters as a decision variable in a supermarket application. Simulations were conducted for twelve locations. Three new original refrigeration systems were presented: Cascade R744/R717 which is an advanced booster extended with an ammonia condensing system (CASC_1); Cascade R744/R717 with CO 2 pump-fed MT and pressure-fed LT evaporators (CASC_2); and the R717 booster with CO 2 pump-fed MT and LT evaporators (CB_NH3). As a reference system, a CO 2 booster system with multi-ejectors and flooded evaporators (CB_EJ) was adopted. The CB_EJ system has been confirmed to be energy optimal for cold and temperate climates (Cfb, Dfa and cooler). In warm temperate climates (Csa, BSk, Cfa and similar), the energy consumption of CB_NH3 was the lowest. CASC_2 and CB_NH3 are energy optimal for hot climates (BWh, Af, Aw). The CB_NH3 system always outperforms CASC_2 by 2.5–3.8%. For a tropical climate (Bhubaneswar—Aw), the annual electricity demand of the optimal CB_NH3 system is lower by 18.8%, 10.2%, and 2.7% relative to CB_EJ, CASC_1, and CASC_2, respectively. The COP of the CASC_1 (outdoor temperature 40 °C) is higher by 50%, 2.7%, and 4.7% compared with the CB_EJ, CB_NH3 and CASC_2 systems, respectively. The application of CASC_1 system, relative to CB_EJ, is reasonable only for hot climates and decreases by 7.2% the annual electricity demand for Bhubaneswar.

Keywords: optimisation; CO 2; R744; NH 3; commercial refrigeration system; climate (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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