2018
DOI: 10.1016/j.ijrefrig.2018.05.022
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Detailed and dynamic variable speed air source heat pump water heater model: Combining a zonal tank model approach with a grey box heat pump model

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Cited by 12 publications
(4 citation statements)
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“…For buildings, the energy is mainly consumed by heating, ventilation, airconditioning, and domestic hot water [1][2][3]. Heat pumps have been widely applied in the heating, ventilation, and airconditioning (HVAC) system of buildings, by virtue of their energy efficiency, environmental friendliness, compact structure, and ease of installation [4][5][6][7]. Depending on the type of heat sources, heat pumps can be divided into ground source heat pump (GSHP), air source heat pump (ASHP), and solarpowered heat pump (SPHP) [8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…For buildings, the energy is mainly consumed by heating, ventilation, airconditioning, and domestic hot water [1][2][3]. Heat pumps have been widely applied in the heating, ventilation, and airconditioning (HVAC) system of buildings, by virtue of their energy efficiency, environmental friendliness, compact structure, and ease of installation [4][5][6][7]. Depending on the type of heat sources, heat pumps can be divided into ground source heat pump (GSHP), air source heat pump (ASHP), and solarpowered heat pump (SPHP) [8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…Tangwe and Simon [23] compared the operation performance of split and integrated type air source heat pump water heater via modeling and simulation and found a better performance of the split type model. Deutz et al [24] used a dynamic gray-box thermodynamic model to simulate the heat pump components, while a zonal model allows simulating convection and thermal stratification in the tank. The authors found that the potential improvement of using a zonal model instead of a simpler 1D model is negligible.…”
Section: Introductionmentioning
confidence: 99%
“…The literature classifies heat pump modelizations into two categories [24]: fully empirical models (black box) or semi-emprical component based models (gray box). An example of both types of models was presented by Tran et al [26] and Peng et al [27], respectively.…”
Section: Introductionmentioning
confidence: 99%
“…The main drawback of such combined models is the low robustness and high computational effort, since two simulations engines running at the same time are needed. To overcome such issues, a tool often used to simulate complex multi-domain systems is the Modelica language, thanks to its low computational demand and a vast number of libraries including components for several energy systems, comprising heat pumps and chillers for commercial and residential applications [31][32][33][34][35].…”
mentioning
confidence: 99%