Improving Comfort and Air Conditioner Performance by Optimizing Controllers under Actual Usage Conditions
This study is to increase the efficiency of the air conditioning system under actual conditions of use. In order to improve the increase in energy consumption due to control without considering indoor cooling load fluctuations, we review it compared to conventional control methods in two respects. F...
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doaj-5be0551212354b4ba1d774d44df583a52021-06-01T00:58:31ZengMDPI AGApplied Sciences2076-34172021-05-01114818481810.3390/app11114818Improving Comfort and Air Conditioner Performance by Optimizing Controllers under Actual Usage ConditionsTaebyoung Park0Byungsoon Kim1Gilun Hwang2Yulho Kang3Inwon Lee4Youngchull Ahn5LG Electronics, 84, Wanarm-ro, Changwon-si 51533, KoreaLG Electronics, 84, Wanarm-ro, Changwon-si 51533, KoreaLG Electronics, 84, Wanarm-ro, Changwon-si 51533, KoreaResearch Institute for Future Wind Energy Technology, Pusan National University, Busan 46241, KoreaDepartment of Naval Architecture and Ocean Engineering, Pusan National University, Busan 46241, KoreaDepartment of Architectural Engineering, Pusan National University, Busan 46241, KoreaThis study is to increase the efficiency of the air conditioning system under actual conditions of use. In order to improve the increase in energy consumption due to control without considering indoor cooling load fluctuations, we review it compared to conventional control methods in two respects. First, we examined the control method to reduce energy consumption by varying the evaporative pressure of the system according to the cooling load, and secondly, further reducing energy consumption by controlling the revolutions per minute (RPM) of the fan of the indoor unit at the same time as the pressure fluctuation under the cooling load. We found that changing the target pressure depending on the difference between the target temperature and room temperature can control temperature more efficiently and save energy than using fixed target pressure, and that the effect increases when applying the control of the air volume of the indoor air. Cleaning up the resulting values, the fan-load-control condition of the cooling-load-estimation control method showed an energy savings effect of 16.1–48.7% compared with the fixed-pressure control method and 1.2–37.7% compared with the cooling-load-estimation control method.https://www.mdpi.com/2076-3417/11/11/4818control methodoptimizing controllerair conditionerenergy efficiency |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Taebyoung Park Byungsoon Kim Gilun Hwang Yulho Kang Inwon Lee Youngchull Ahn |
spellingShingle |
Taebyoung Park Byungsoon Kim Gilun Hwang Yulho Kang Inwon Lee Youngchull Ahn Improving Comfort and Air Conditioner Performance by Optimizing Controllers under Actual Usage Conditions Applied Sciences control method optimizing controller air conditioner energy efficiency |
author_facet |
Taebyoung Park Byungsoon Kim Gilun Hwang Yulho Kang Inwon Lee Youngchull Ahn |
author_sort |
Taebyoung Park |
title |
Improving Comfort and Air Conditioner Performance by Optimizing Controllers under Actual Usage Conditions |
title_short |
Improving Comfort and Air Conditioner Performance by Optimizing Controllers under Actual Usage Conditions |
title_full |
Improving Comfort and Air Conditioner Performance by Optimizing Controllers under Actual Usage Conditions |
title_fullStr |
Improving Comfort and Air Conditioner Performance by Optimizing Controllers under Actual Usage Conditions |
title_full_unstemmed |
Improving Comfort and Air Conditioner Performance by Optimizing Controllers under Actual Usage Conditions |
title_sort |
improving comfort and air conditioner performance by optimizing controllers under actual usage conditions |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2021-05-01 |
description |
This study is to increase the efficiency of the air conditioning system under actual conditions of use. In order to improve the increase in energy consumption due to control without considering indoor cooling load fluctuations, we review it compared to conventional control methods in two respects. First, we examined the control method to reduce energy consumption by varying the evaporative pressure of the system according to the cooling load, and secondly, further reducing energy consumption by controlling the revolutions per minute (RPM) of the fan of the indoor unit at the same time as the pressure fluctuation under the cooling load. We found that changing the target pressure depending on the difference between the target temperature and room temperature can control temperature more efficiently and save energy than using fixed target pressure, and that the effect increases when applying the control of the air volume of the indoor air. Cleaning up the resulting values, the fan-load-control condition of the cooling-load-estimation control method showed an energy savings effect of 16.1–48.7% compared with the fixed-pressure control method and 1.2–37.7% compared with the cooling-load-estimation control method. |
topic |
control method optimizing controller air conditioner energy efficiency |
url |
https://www.mdpi.com/2076-3417/11/11/4818 |
work_keys_str_mv |
AT taebyoungpark improvingcomfortandairconditionerperformancebyoptimizingcontrollersunderactualusageconditions AT byungsoonkim improvingcomfortandairconditionerperformancebyoptimizingcontrollersunderactualusageconditions AT gilunhwang improvingcomfortandairconditionerperformancebyoptimizingcontrollersunderactualusageconditions AT yulhokang improvingcomfortandairconditionerperformancebyoptimizingcontrollersunderactualusageconditions AT inwonlee improvingcomfortandairconditionerperformancebyoptimizingcontrollersunderactualusageconditions AT youngchullahn improvingcomfortandairconditionerperformancebyoptimizingcontrollersunderactualusageconditions |
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