Cooling Performance Analysis of the Lab-Scale Hybrid Oyster Refrigeration System

Abstract

Compared with the waste-to-heat and electricity-based hybrid refrigeration system, the innovative lab-scale refrigeration system integrated with the DC and AC cooling units that able to use solar and electricity as energy resources. Previous studies found that temperature control and uniform temperature distribution in refrigeration systems are both critical factors reducing vibrio growth on raw oysters and saving energy consumption. Therefore, this refrigeration system also equipped a specially designed divider and was used to test various air circulation strategies to achieve uniform temperature distribution in six individual compartments. The objective is to investigate and evaluate the effects of air circulation strategies and operating conditions on the cooling performance, including temperature distribution, standard deviation of compartment temperatures, and cooling time using a factorial design method. Results indicated the maximum temperature difference between the compartments was 8.9 ± 2.0 °C, 6.7 ± 2.0 °C, and 4.8 ± 2.0 °C in the scenarios of no air circulation, natural air circulation, and combined natural and forced air circulation, respectively. The interaction of fan location and fan direction showed a significant effect on the compartment temperatures while there was no significant effect on cooling time. A circulation fan on the lower part of the 12-volt section with an air supply from the 12- to 110-volt section was determined as the optimal condition to achieve relatively uniform temperature distribution. Refrigeration system also achieved a cooling temperature of 7.2 °C within 150 min to meet regulations. To that end, the innovative hybrid oyster refrigeration system will benefit oyster industries, as well as the aquaculture farmers in terms of complying with regulations and energy savings.

Comparative Yolk Proteomic Analysis of Fertilized Low and High Cholesterol Eggs during Embryonic Development

“…One-way analysis of variance and Tukey multiple comparison test determined the significant differences in the group and between the groups. The P-value less than 0.05 was considered as significant difference and asterisks (* p < 0.05, ** p < 0.005, *** p < 0.0001) indicate the lower and higher P-values that simply reflects the degree of data compatibility with the test hypothesis [ 34 , 35 ]. The gels spots were analyzed by PDQuest software, Bio-Rad, and the phylogenetic tree was constructed by Phylogeny.fr (accessed on 4 November 2020, from ).…”

Control and Optimization of Multi-Agent Systems and Complex Networks for Systems Engineering

“…The rest of the papers of this Special Issue can be classified into three key areas: (i) infrastructure management [3,4]; (ii) manufacturing and industrial processes [5][6][7][8]; and (iii) energy production processes [9][10][11].…”

“…Four papers refer to the classification of manufacturing and industrial processes. Qian et al [5] investigated a hybrid refrigeration system, with alternating and continuous currents, for food-handling purposes. Particularly, the authors explored the case study of oyster refrigeration.…”

Techno-Economic Analysis of Solar Photovoltaic System for Fishery Cold Storage Based on Ownership Models and Regulatory Boundaries in Indonesia

“…Solar-powered refrigeration systems have also been investigated to determine the various parameters (for example, time of day and cooling load) influencing system performance (e.g., energy consumption and power production on solar panels). To that end, collecting and utilizing solar energy to provide a portion of power for hybrid refrigeration systems during fish storing processes on bays and estuaries may play a critical role in reducing fuel and energy consumption from the cooling system [21]. Figure 1 depicts solar panels installed on the roof of a cold storage facility.…”