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Energy Consumption Analysis for Coupling Air Conditioners and Cold Storage Showcase Equipment in a Convenience Store.

Author(s) : KUSNANDAR, PERMANA I., CHIANG W., WANG F., LIOU C.

Type of article: Periodical article

Summary

The energy use intensity (EUI) of convenience stores was substantially higher than that of office buildings and hotels, due to a compact footprint but a high density of equipment yielded a higher EUI. As a result, it is critical to assess and maintain the state of the convenience store in order to obtain a lower EUI and reduce energy consumption. This study utilizes a convenience store to evaluate energy consumption and perform a CFD simulation to see how the environment influences by cold storage showcase (CSS) equipment. On the basis of field testing and on-site web-based monitoring data, a survey of baseline information through data collecting and energy benchmarking data has been provided and extensively examined. According to energy monitoring, the convenience store’s highest electricity use is 23,055 kWh in June, and the lowest power consumption is 15,216 kWh in February. The CFD simulation results revealed that the temperature near the CSS can be 3–5 °C lower than in other regions. The temperature nearby return air will be lower as a result of the low-temperature air impacts from CSS. The AC sensor detects that the environment has met the indoor requirements and performs the load reduction operation. After adjusting the AC temperature, it is discovered that the unit is unable to attain the appropriate temperature. Energy consumption can be reduced, resulting in more energy-efficient AC and CSS operations. Furthermore, the CSS’s cold air effect might be taken advantage of by raising the AC-2 temperature set point to generate energy savings.

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Pages: 13 p.

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  • Original title: Energy Consumption Analysis for Coupling Air Conditioners and Cold Storage Showcase Equipment in a Convenience Store.
  • Record ID : 30030175
  • Languages: English
  • Subject: Technology
  • Source: Energies - 15 - 13
  • Publishers: MDPI
  • Publication date: 2022/07
  • DOI: http://dx.doi.org/10.3390/en15134857

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