Design and prediction method of dual working medium solar energy drying system

Hao, Wengang; Zhang, Han; Liu, Shuonan; Lai, Yanhua

doi:10.1016/j.applthermaleng.2021.117153

Cited by 12 publications

(3 citation statements)

References 37 publications

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“…Drying has a large number of applications in industry, agriculture and other fields, while drying is one of the most energy-consuming units [1]. In developed countries, about 10% of fuel is used for drying, and in China, drying energy consumption accounts for about 12% of the entire industrial energy consumption [2]. In some industries, the energy waste caused by drying is enormous, with Mujumdar [3] reporting that drying consumes up to 70% of the total energy in the manufacture of wood products, 50% of the total energy in the manufacture of finished textiles, and over 60% of the total energy in agricultural maize production.…”

Section: Introductionmentioning

confidence: 99%

“…Energy storage technology can solve this problem well. The application of heat storage in the solar drying system is justified under the following three circumstances [24]: (1) the drying period can be prolonged by energy storage; (2) the excess energy at the peak of radiation can be stored to avoid excessive local drying; and (3) the temperature of dry air can be controlled to avoid damage to materials. Qiu et al .…”

Section: Introductionmentioning

confidence: 99%

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Numerical Analysis and Optimization of Solar-Assited Heat Pump Drying System with Waste Heat Recovery Based on TRNSYS

Xie

Gong

et al. 2021

Processes

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In this paper, a new solar-assisted heat pump drying system with waste heat recovery and double water tanks (SCAHP) was established and the system optimized by TRNSYS and variable air volume experiment. The annual cumulative efficiency of the SCAHP (COPac), buffer tank heating efficiency (ηBT) and hot water storage tank heating efficiency (ηST) are all considered as optimization objectives, and this paper discusses the relationship between the three optimization objectives and studies the influence of hot air volume (qDR), area of solar collector (ASC), inclination angle of solar collector (ISC) and volume of heat storage water tank (VST) on system efficiency in the drying process. In order to explore the general rule of system optimization, numerical analysis and optimization were carried out in five typical cities in five climatic regions of China. The results show that the mixed variable air volume mode can increase the drying rate with less energy loss, and shorten the drying period by 28.6–33.3%. When the system surface body ratio (SBR) in Nanjing is between 3.1 and 4.1, the COPac, ηBT, and ηST can reach the maximum value simultaneously. It is estimated that the cost can be recovered in 5 years when the system configuration parameters are optimized.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical Analysis and Optimization of Solar-Assited Heat Pump Drying System with Waste Heat Recovery Based on TRNSYS

Xie

Gong

et al. 2021

Processes

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“…In recent years, modeling of drying applications by utilizing different modeling approaches has become a popular research topic. Hao et al [32] analyzed and modeled a solar dehumidifier. They used experimental data including environmental conditions, air flow rate and outlet temperature by using five different machine learning approaches.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis and Identification of an Indirect Photovoltaic Thermal Dryer with Aluminum Oxide Nano-Embedded Thermal Energy Storage Modification

2023

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In the current paper, different thermal energy storage unit-integrated photovoltaic thermal (PVT) air collectors with and without nanoparticles have been designed, fabricated and tested. Aluminum oxide nanoparticles have been integrated into the thermal storage unit to increase the performance of the PVT collector. The developed collectors have been tested in a drying application at two different mass flow rates. The major goals of this work are upgrading the performance of the PVT air collector by employing a nano-embedded thermal energy storage unit and analyzing the impacts of using nanoparticles in the latent heat storage unit in the PVT collector on the drying performance of the system. The drying time was reduced by approximately 15–22% by employing nanoparticles in the thermal storage unit. Moreover, overall exergy efficiency values were obtained in ranges of 12.49–14.67% and 13.64–16.06%, respectively, for modified and unmodified PVT air collectors. It should be indicated that the overall energy and exergy efficiencies of the PVT air collectors were improved in the ranges of 6.91–6.97% and 9.20–9.47%, respectively, by using nanoparticles in the thermal energy storage unit. The combination of increasing the flow rate and integrating nanoparticles into the storage unit improved the overall exergetic efficiency of the PVT air collector by 28.58%. The mean exergetic efficiency of the drying room was between 48.33 and 54.26%. In addition to the experimental analysis, dynamic models for thermal and exergy efficiencies of developed collectors were constructed by employing the system identification method.

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Separation mechanism of T-junction in thermodynamic systems: A review and case verification

Zhao²,

Zhao³

et al. 2022

Applied Thermal Engineering

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Design and prediction method of dual working medium solar energy drying system

Cited by 12 publications

References 37 publications

Numerical Analysis and Optimization of Solar-Assited Heat Pump Drying System with Waste Heat Recovery Based on TRNSYS

Numerical Analysis and Optimization of Solar-Assited Heat Pump Drying System with Waste Heat Recovery Based on TRNSYS

Performance Analysis and Identification of an Indirect Photovoltaic Thermal Dryer with Aluminum Oxide Nano-Embedded Thermal Energy Storage Modification

Separation mechanism of T-junction in thermodynamic systems: A review and case verification

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