2022
DOI: 10.1016/j.csite.2022.101912
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Design of new heat pump dryer system: A case study in drying characteristics of kelp knots

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Cited by 16 publications
(6 citation statements)
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“…In addition, due to the longer drying time and low drying rate at 30 °C, the energy consumption was relatively high. Hu et al [ 10 ] studied the HP of kelp knots. In contrast, the SMER of the proposed SHPD was 128.53% higher than that of the traditional system (1.630 kg/kW·h), indicating that the design can effectively improve the energy utilization rate and reduce energy consumption.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, due to the longer drying time and low drying rate at 30 °C, the energy consumption was relatively high. Hu et al [ 10 ] studied the HP of kelp knots. In contrast, the SMER of the proposed SHPD was 128.53% higher than that of the traditional system (1.630 kg/kW·h), indicating that the design can effectively improve the energy utilization rate and reduce energy consumption.…”
Section: Resultsmentioning
confidence: 99%
“…In the study, the ideal condition for kelp drying was a temperature of 40 °C, a wind speed of 1.3 m/s, and a humidity of 40%, without considering the heat pump system’s performance. Hu et al [ 10 ] examined a closed-loop double-evaporator heat pump dryer (HPD) used for kelp knots and found that the startup time of the instrument was 20.8% less than a conventional single-evaporator HPD, while its initial investment was only 6.5% more. However, the closed HP method faced serious problems caused by high relative humidity during kelp drying, which prolonged the drying time, increased the energy consumption and shortened the life of the instrument.…”
Section: Introductionmentioning
confidence: 99%
“…Thin-layer models estimate mass transfer while drying and are used for simulating drying curves at identical settings (Puente-Díaz et al, 2013). According to Hu et al (2022), mathematical modeling is the best way to characterize the drying procedure's kinetics. The design and modeling of several mass transfer methods, with the adsorption, dehydration, and desorption of moisture throughout storage, can benefit from optimal moisture diffusivity.…”
Section: Introductionmentioning
confidence: 99%
“…Thin layer models estimate mass movement while drying and are exhausted for simulating drying curves under identical conditions (Puente-Díaz et al, 2013). According to Hu et al (2022), mathematical modeling is the greatest technique to describe the dehydrating procedure's kinetics. The design and modeling of several mass transfer processes, including the adsorption, dehydration, and desorption of moisture throughout storage, can benefit from optimal moisture diffusivity.…”
Section: Introductionmentioning
confidence: 99%
“…According to Hu et al. (2022), mathematical modeling is the greatest technique to describe the dehydrating procedure's kinetics. The design and modeling of several mass transfer processes, including the adsorption, dehydration, and desorption of moisture throughout storage, can benefit from optimal moisture diffusivity.…”
Section: Introductionmentioning
confidence: 99%