Published June 2019 | Version v1
Journal article

Feasibility and optimization of defrosting control method with differential pressure sensor for air source heat pump systems

  • 1. Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, 08826 (Korea, Republic of)

Description

Highlights: • A novel defrosting control method using differential pressure sensor is proposed. • Optimum sensor location is set with preliminary experiments and CFD simulations. • A strategy to deal with several operating conditions and specifications is developed. • The suggested method is experimentally verified under various frosting conditions. -- Abstract: A defrosting control method with differential pressure sensor is suggested in this study for air source heat pump systems. To maintain the performance of the heat pump system under frosting conditions, it is crucial to determine the start time of the defrosting process properly. Thus, this study investigates the feasibility of using the differential pressure sensors for defrosting control and further optimizes the control method. Firstly, the optimum location of the differential pressure sensor for air flow is determined by preliminary experiments. Secondly, a method to deal with various changes in operating conditions and system specification is developed. Lastly, main experiments are conducted under various frosting conditions to validate the suggested control method using differential pressure sensors. To show the reliability of the control method under various frosting conditions, two different error factors are defined; error on a time basis and a capacity basis. As a result, the root mean square of the error for the defrosting time is 6.4% on a time basis and 5.1% on a capacity basis.

Additional details

Identifiers

DOI
10.1016/j.applthermaleng.2019.04.002;
PII
S1359431118376993;

Publishing Information

Journal Title
Applied Thermal Engineering
Journal Volume
155
Journal Page Range
p. 461-469
ISSN
1359-4311
CODEN
ATENFT

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55003732
Subject category
S42: ENGINEERING;
Descriptors DEI
AIR FLOW; AIR SOURCE HEAT PUMPS; COMPUTERIZED SIMULATION; ERRORS; HEAT; OPTIMIZATION; PERFORMANCE; RELIABILITY; SENSORS
Descriptors DEC
ENERGY; FLUID FLOW; GAS FLOW; HEAT PUMPS; SIMULATION

Optional Information

Copyright
Copyright (c) 2019 Elsevier Ltd. All rights reserved.