Drying of untreated Musa nendra and Momordica charantia in a forced convection solar cabinet dryer with thermal storage

Arun, K. R.; Kunal, G.; Srinivas, M.; Kumar, C.S. Sujith; Mohanraj, M.; Jayaraj, S.

doi:10.1016/j.energy.2019.116697

Cited by 60 publications

(14 citation statements)

References 37 publications

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“…Figure 3 depicts the variation of TLYS moisture content with time during drying at various temperatures ranging from 60 C, 70 C and 75 C. The moisture content decreased from 81.06% to 1.96 %, 75.98 %-2.79 %, and 67.6 %-1.12 %, at the point where the equilibrium moisture content was obtained for 60 C, 70 C, and 75 C respectively, as the drying time progressed from 10 min to 240 min; similar reports were observed in the drying of cassava (Aviara et al, 2014), Okra plant (Lazarin et al, 2020;Okunola et al, 2021), Guava plant (Guedes et al, 2021), untreated Musa nendra and Momordica charantia (Arun et al, 2020), tomatoes (Lopez-Quiroga et al, 2020) and walnut drying (Chen et al, 2020).…”

Section: The Proximate Analysissupporting

confidence: 79%

Energy and exergy analysis of three leaved yam starch drying in a tray dryer: parametric, modelling and optimization studies

Nwosu‐Obieogu

Oke

Bright

2022

Heliyon

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Section: The Proximate Analysissupporting

confidence: 79%

Energy and exergy analysis of three leaved yam starch drying in a tray dryer: parametric, modelling and optimization studies

Nwosu‐Obieogu

Oke

Bright

2022

Heliyon

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“…Additionally, Figure 1b shows the picture of an experimental set-up of the integrated system with serial and parallel circuits. The poor calibration, instrumental errors, positional errors of probes, environmental error etc., are responsible for the uncertainty in the experimental results [33]. Therefore, the uncertainty analysis is conducted on the experimental results of the integrated system with serial and parallel circuits, to ensure the accuracy and reliability of the experimental test results [34].…”

Section: Experimental Methodsmentioning

confidence: 99%

Experimental Study on Heating Performances of Integrated Battery and HVAC System with Serial and Parallel Circuits for Electric Vehicle

et al. 2021

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The objective of the present study is to conduct experiments for investigating heating performances of integrated system with serial and parallel circuits for battery and heating ventilation and air conditioning system (HVAC) of electric vehicles under various operating conditions. In addition, the artificial neural network (ANN) model is proposed to accurately predict the heating performances of integrated system with serial and parallel circuits for battery and HVAC. A test bench of integrated system with serial and parallel circuits has been developed for establishing the trade-off between battery heating and HVAC heating. The heating performances namely, battery out temperature, battery temperature rise rate, battery heating capacity, HVAC heating capacity and total heating capacity are evaluated experimentally for the integrated system with serial and parallel circuits. The behavior of various heating performances is evaluated under influence of flow rate and heater power. Battery out temperature reaches 40 °C within 10 min with rise rate of 2.17 °C/min for the integrated system with serial circuit and that within 20 min with rise rate of 1.22 °C/min for the integrated system with parallel circuit. Integrated system with serial circuit shows higher HVAC heating capacity than integrated system with parallel circuit which are 5726.33 W and 3869.15 W, respectively. ANN model with back-propagation algorithm, Levenberg-Marquardt training variant, Tan-sigmoidal transfer function and 20 hidden neurons presents the accurate prediction of heating performances of the integrated system with serial and parallel circuits for battery and HVAC.

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“…The deviation between the measured value and the actual value of any parameter is termed as uncertainty associated with that parameter [27]. The accuracies of measuring instruments and errors during the measurements are the primary reasons for the uncertainties in various measuring and manipulating parameters [28]. The uncertainty analysis was conducted to assure the accuracy and reliability of the experimental data associated to the heat pump system with a high-pressure side chiller.…”

Section: Uncertainty Analysismentioning

confidence: 99%

“…The accuracies of the measuring instruments for various measuring parameters were the uncertainties associated with them, whereas the cooling capacity, coefficient of performance, chiller heat transfer rate, compressor power consumption, system efficiency and heater core performance were the performance (manipulating) parameters which were deducted from the experimental data of measuring parameters. The uncertainties in the performance parameters were evaluated using the concept of linearized fractional approximation which was proposed by Holman and Gajda [27,28]. Using this concept, the uncertainties in various performance (dependent) parameters due to uncertainties of various measuring (independent) parameters are evaluated by Equation (1) [29,30].…”

Section: Uncertainty Analysismentioning

confidence: 99%

A Study on Performance Characteristics of a Heat Pump System with High-Pressure Side Chiller for Light-Duty Commercial Electric Vehicles

et al. 2020

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One of barriers for the present heat pump system’s application in an electric vehicle was decreased performance under cold ambient conditions due to the lack of evaporating heat source. In order to improve the heat pump’s performance, a high-pressure side chiller was additionally installed, and the tested heat pump system was modified with respect to refrigerant flow direction along with operating modes. In the present work, the performance characteristics of the heat pump system with a high-pressure side chiller for light-duty commercial electric vehicles were studied experimentally under hot and cold ambient conditions, reflecting real road driving. The high-pressure side chiller was located after the electric compressor so that the highest refrigerant temperature transferred the heat to the coolant. The controlled coolant with discharged refrigerant from the electric compressor was used to heat up the cabin, transferring heat to the inlet air like the internal combustion engine vehicle’s heating system, except with unused engine waste heat. In the cooling mode, for the exterior air temperature of 35 °C and interior air temperature of 25 °C, cooling performance along with the compressor speed showed that the system efficiency decreased by 16.4% on average, the cooling capacity increased by 8.0% on average and the compressor work increased by 27% on average. In heating mode, at the exterior and interior air temperature of −6.7 °C, compressor speed and coolant temperature variation with steady conditions were tested with respect to heating performance. In transient mode, to increase coolant temperature with a closed loop from −6.7 °C, tested system characteristics were studied along the compressor speed with respect to heating up the cabin. As the inlet air of the HVAC was maintained at −6.7 °C, even though the heat-up rate of the cabin room was a little slow, the cabin temperature reached 20 °C within 50 min and the temperature difference with the ambient air attained 28.7 °C.

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Drying of untreated Musa nendra and Momordica charantia in a forced convection solar cabinet dryer with thermal storage

Cited by 60 publications

References 37 publications

Energy and exergy analysis of three leaved yam starch drying in a tray dryer: parametric, modelling and optimization studies

Energy and exergy analysis of three leaved yam starch drying in a tray dryer: parametric, modelling and optimization studies

Experimental Study on Heating Performances of Integrated Battery and HVAC System with Serial and Parallel Circuits for Electric Vehicle

A Study on Performance Characteristics of a Heat Pump System with High-Pressure Side Chiller for Light-Duty Commercial Electric Vehicles

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