Abstract
The heat pump water heater is one of the most energy efficient technologies for heating water for household use. The present work proposes a simplified model of coefficient of performance and examines its predictive capability. The model is based on polynomial functions where the variables are temperatures and the coefficients are derived from the Australian standard test data, using regression technics. The model enables to estimate the coefficient of performance of the same heat pump water heater under other test standards (i.e. US, Japanese, European and Korean standards). The resulting estimations over a heat-up phase and a full test cycle including a draw off pattern are in close agreement with the measured data. Thus the model allows manufacturers to avoid the need to carry out physical tests for some standards and to reduce product cost. The limitations of the methodology proposed are also discussed.
Highlights
Motivation The Heat Pump (HP) technology is used to produce heating water for household use.If the grid supply is decarbonised, using HP allows to significantly reduce the carbon dioxide emissions, compared to traditional technologies such as boiler [1]
The heat loss model and control model are determined from the analysis of data taken from a test period where the HP Water Heaters (HPWHs) is in stand-by operation
This paper examined the potential to model HPWH energy performance
Summary
Motivation The Heat Pump (HP) technology is used to produce heating water for household use. Where a1, a2, a3 are constants; and the subscripts d, w and dew refer to dry bulb, wet bulb and dew point of the surrounding air temperature, respectively This correlation model was validated using experimental data from two HPWHs: one with a wrap-around condenser coil and the other with an external condenser. It should be noted that all these correlations were developed to predict the HPWH performance for the whole range of operating conditions For this reason, they require much experimental data to determine correctly the coefficients. They require much experimental data to determine correctly the coefficients They were only tested in the heat-up phase, their predictive capability is not known during a whole cycle including both heat-up and draw-off phases. In principle this could introduce significant error if the temperature at the condenser inlet significantly differs from the water tank temperature (for separate tank-HP systems) or if the tank is stratified (for integral condenser HPs)
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More From: Journal of Sustainable Development of Energy, Water and Environment Systems
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