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Modelica-based modelling of heat pump-assisted apple drying for varied drying temperatures and bypass ratios

Jokiel, M.; Bantle, M.; Kopp, C. and Verpe, E.H. (2020) Modelica-based modelling of heat pump-assisted apple drying for varied drying temperatures and bypass ratios. Thermal Science and Engineering Progress, 19, p. 100575.

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Available under License Creative Commons Attribution.


Document available online at: https://www.sciencedirect.com/science/article/pii/S2451904920300937


Drying is an energy and time intensive process in which thermal energy demand is mostly provided by fossil resources. It is important to increase the energy efficiency of drying processes especially in the food processing industry in terms of organic products and sustainability. The potential for using a heat pump with CO2 as a working media to provide heating and cooling in the drying cabinet was investigated for typical food drying temperatures of 50–70 °C and for various ratios of moist air being bypassed.
A dynamic heat pump-assisted dryer model was developed and experimentally validated. The model was created with respect to heat transfer, pressure loss and flow requirements. The simulation results show that a closed loop heat pump-assisted drying process reduces the energy demand by up to 84% compared to open loop drying processes with fossil resources as the energy source. The specific moisture extraction rate for a heat pump dryer is up to four times higher than that of an open loop dryer. However, in the heat pump dryer case the drying time is increased by up to 69%.

EPrint Type:Journal paper
Keywords:Heat pump, Food drying, Modelica, Simulation, Convective drying, Batch dryer, CO2, R744
Agrovoc keywords:
Subjects: Food systems > Recycling, balancing and resource management
Food systems > Processing, packaging and transportation
Environmental aspects > Air and water emissions
Research affiliation: European Union > CORE Organic > CORE Organic Cofund > SusOrgPlus
Norway > SINTEF
Horizon Europe or H2020 Grant Agreement Number:727495
Deposited By: von Gersdorff, Gardis J.E.
ID Code:40180
Deposited On:07 Jul 2021 12:31
Last Modified:07 Jul 2021 12:31
Document Language:English
Refereed:Peer-reviewed and accepted

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