Development of a Heuristic Control Algorithm for Improving Energy Efficiency in Commercial Refrigerated Systems without Indoor Information
Despite the serious threat of global warming caused by carbon emissions, commercial refrigeration systems that generate cooling are unable to adjust their usage time. Therefore, it is essential to enhance the energy efficiency of refrigeration systems themselves. Recently developed refrigeration sys...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/12/22/4678 |
| _version_ | 1797459482515603456 |
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| author | Ji-Hoon Kwon Man-Ho Kim Ju-Kyoung Lee Hyeong-Jun Kim Seon-Gyu Min Suk Lee |
| author_facet | Ji-Hoon Kwon Man-Ho Kim Ju-Kyoung Lee Hyeong-Jun Kim Seon-Gyu Min Suk Lee |
| author_sort | Ji-Hoon Kwon |
| collection | DOAJ |
| description | Despite the serious threat of global warming caused by carbon emissions, commercial refrigeration systems that generate cooling are unable to adjust their usage time. Therefore, it is essential to enhance the energy efficiency of refrigeration systems themselves. Recently developed refrigeration systems offer improved energy consumption efficiency as they utilize inverter-type outdoor units that can communicate with indoor units. However, traditional legacy refrigeration systems still suffer from poor energy efficiency because the existing indoor units cannot communicate with inverter-type outdoor units. Hence, this paper introduces a heuristic energy efficiency improvement algorithm for commercial refrigeration systems using legacy indoor units when an inverter-type outdoor unit is installed. In particular, to reduce the computational complexity of the process of selecting the optimal temperature difference and target low-pressure variables that can enhance energy efficiency, the algorithm employs the Monte Carlo method. Finally, the performance of the proposed heuristic energy efficiency improvement algorithm was evaluated in a laboratory environment to confirm its applicability. |
| first_indexed | 2024-03-09T16:52:59Z |
| format | Article |
| id | doaj.art-a8c6eb88f3ba4a3da6789c693b7e38bc |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T16:52:59Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-a8c6eb88f3ba4a3da6789c693b7e38bc2023-11-24T14:39:39ZengMDPI AGElectronics2079-92922023-11-011222467810.3390/electronics12224678Development of a Heuristic Control Algorithm for Improving Energy Efficiency in Commercial Refrigerated Systems without Indoor InformationJi-Hoon Kwon0Man-Ho Kim1Ju-Kyoung Lee2Hyeong-Jun Kim3Seon-Gyu Min4Suk Lee5School of Mechanical Engineering, Pusan National University, Busan 46241, Republic of KoreaDepartment of Electric Vehicle, Dong-eui Institute of Technology, Busan 47230, Republic of KoreaIndustry Applications Research Division, Artificial Intelligence Research Center, Korea Electrotechnology Research Institute, Changwon 51543, Republic of KoreaDepartment of Future Automotive Engineering, Gyeongsang National University, Jinju 52725, Republic of KoreaJangyu Clear Water Circulation Center Team, Gimhae-si Urban Development Corporation, Gimhae 50832, Republic of KoreaSchool of Mechanical Engineering, Pusan National University, Busan 46241, Republic of KoreaDespite the serious threat of global warming caused by carbon emissions, commercial refrigeration systems that generate cooling are unable to adjust their usage time. Therefore, it is essential to enhance the energy efficiency of refrigeration systems themselves. Recently developed refrigeration systems offer improved energy consumption efficiency as they utilize inverter-type outdoor units that can communicate with indoor units. However, traditional legacy refrigeration systems still suffer from poor energy efficiency because the existing indoor units cannot communicate with inverter-type outdoor units. Hence, this paper introduces a heuristic energy efficiency improvement algorithm for commercial refrigeration systems using legacy indoor units when an inverter-type outdoor unit is installed. In particular, to reduce the computational complexity of the process of selecting the optimal temperature difference and target low-pressure variables that can enhance energy efficiency, the algorithm employs the Monte Carlo method. Finally, the performance of the proposed heuristic energy efficiency improvement algorithm was evaluated in a laboratory environment to confirm its applicability.https://www.mdpi.com/2079-9292/12/22/4678compressorheuristicsinverteroutdoor unitrefrigeration system |
| spellingShingle | Ji-Hoon Kwon Man-Ho Kim Ju-Kyoung Lee Hyeong-Jun Kim Seon-Gyu Min Suk Lee Development of a Heuristic Control Algorithm for Improving Energy Efficiency in Commercial Refrigerated Systems without Indoor Information Electronics compressor heuristics inverter outdoor unit refrigeration system |
| title | Development of a Heuristic Control Algorithm for Improving Energy Efficiency in Commercial Refrigerated Systems without Indoor Information |
| title_full | Development of a Heuristic Control Algorithm for Improving Energy Efficiency in Commercial Refrigerated Systems without Indoor Information |
| title_fullStr | Development of a Heuristic Control Algorithm for Improving Energy Efficiency in Commercial Refrigerated Systems without Indoor Information |
| title_full_unstemmed | Development of a Heuristic Control Algorithm for Improving Energy Efficiency in Commercial Refrigerated Systems without Indoor Information |
| title_short | Development of a Heuristic Control Algorithm for Improving Energy Efficiency in Commercial Refrigerated Systems without Indoor Information |
| title_sort | development of a heuristic control algorithm for improving energy efficiency in commercial refrigerated systems without indoor information |
| topic | compressor heuristics inverter outdoor unit refrigeration system |
| url | https://www.mdpi.com/2079-9292/12/22/4678 |
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