Open AccessModelling and optimization of the heat pump system for the usage of swimming pool
Author(s) -
Mike Lau,
Mohd Fauzi Zanil,
S.Y. Thomas Choong,
Jianrong Tan
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/778/1/012097
Subject(s) - coefficient of performance , heat pump , air source heat pumps , hybrid heat , condenser (optics) , evaporator , mechanical engineering , thermal expansion valve , heat pump and refrigeration cycle , gas compressor , engineering , nuclear engineering , heat exchanger , mechanics , physics , optics , light source
Heat pump is a device which being used to transfer heat energy from one or more heat sources at low temperature to one or more heat sinks at high temperature simultaneously through pumping. The heat pump system used in swimming pool is an air –to-water heat pump that made up of four elements, which are evaporator, compressor, condenser and expansion valve. The overall efficiency of the heat pump in recovering the heat energy with the least of work done needed is defined as Coefficient of Performance (COP). A calculation software interface is designed using programming language of Visual Basic in Microsoft Visual Studio software to model, simulate the operation of heat pump product in actual industrial application and aid the optimization of heat pump system. The calculation software interface developed generates high accuracy COP value at 4.90, which has only 0.62% difference compared to actual COP of the heat pump product at 4.87. In order to optimize the performance of heat pump, the number of turns of outer and inner coil in condenser and the water flow rate pumped into the condenser are changed to maximize the COP within allowable cost increment. The COP is improved from 4.90 to 5.52, 5.13 and 6.89 based on each respective optimizations with cost increment controlled in between 0.5 to 2%. The final COP improved is obtained at 8.06 through combined optimization.