Energy and exergy analysis of an indirect solar cabinet dryer based on mathematical modeling results

Sami, Samaneh; Etesami, Nasrin; Rahimi, Amir

doi:10.1016/j.energy.2011.02.027

Cited by 80 publications

(20 citation statements)

References 18 publications

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“…These unique advantages endow the exergy analysis with great potential application to analyze the energyintensive thermal operations, which are expected to lead to the misleading conclusions by using the conventional energy analysis. Literature survey showed that a remarkable amount of research works have been published regarding the exergy analysis as well as exergoeconomic analysis of drying processes and systems through the experimental and theoretical studies such as hot air drying [5][6][7][8][9][10], fluidised bed drying [11][12][13][14][15][16][17], spray drying [18][19][20][21][22][23][24], heat pump drying with various heating sources [25][26][27], solar drying and greenhouse drying [28][29][30][31][32], freeze drying [33,34], and vacuum drying [35]. The readers are referred to the review paper compiled by Aghbahslo et al [3] in which the application of exergy analysis for drying systems and processes was comprehensively discussed.…”

Section: Introductionmentioning

confidence: 99%

Exergetic simulation of a combined infrared-convective drying process

Aghbashlo

2015

Heat Mass Transfer

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Mass flow rate (kg/s) P Air pressure (kPa) Q Heat transfer rate (kJ/s) R Constant (kJ/kg K) t Drying time (s) T Temperature (K or °C) U Overall heat transfer coefficient (kW/m 2 K) v Air velocity (m/s) V Volume (m 3 ) X Mass fraction (-) Dimensionless numbers Le Lewis number Nu Nusselt number Pr Prandtl number Re Reynolds number Greeks ∆t Simulation time step (s) α Thermal diffusivity (m 2 /s) β Energy quality factor (-) ε Emissivity factor (-) λ Latent heat of water vaporization (kJ/kg) μ Dynamic viscosity of air (Pa s) ρ Density (kg/m 3 ) σ Stephan-Boltzman constant (W/m 2 K 4 ) υ Kinematic viscosity (m 2 /s) φ Hydraulic diameter (m) ψ Exergy efficiency (-) ω Humidity ratio of air (kg water/kg dry air) Subscripts 0 Dead state 1 Wet product 2 Inlet airAbstract Optimal design and performance of a combined infrared-convective drying system with respect to the energy issue is extremely put through the application of advanced engineering analyses. This article proposes a theoretical approach for exergy analysis of the combined infrared-convective drying process using a simple heat and mass transfer model. The applicability of the developed model to actual drying processes was proved using an illustrative example for a typical food. List of symbolsA Surface area (m 2 ) C Specific heat of product (kJ/kg K) D eff Effective moisture diffusivity of water (m 2 /s) E Energy rate (kJ/s) ex Specific exergy (kJ/kg) Ex Exergy rate (kJ/s) F Shape factor (-) h m Mass transfer coefficient (m/s) h T Heat transfer coefficient (W/m 2 K) IR Infrared radiation energy (kJ/s) J Junction k Thermal conductivity of air (kW/m K) D Diameter (m) m Mass (kg) M Moisture concentration (kg water/m 3 ) MC Moisture content (kg water/kg dry matter) * Mortaza Aghbashlo

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Section: Introductionmentioning

confidence: 99%

Exergetic simulation of a combined infrared-convective drying process

Aghbashlo

2015

Heat Mass Transfer

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“…Agriculture activities consume large amount of energy and usually needs energy at place far from grid, so SAPV can be a good choice in this area. Using solar energy for drying of agricultural product was reported by [9,10]. Using PV for water pumping and irrigation was reported in [11,12,13,14] and for reducing in the salinity of irrigation water in [15].…”

Section: [4]mentioning

confidence: 92%

A novel application of stand-alone photovoltaic system in agriculture: solar-powered Microner sprayer

Rad

Omid

Alimardani

et al. 2015

International Journal of Ambient Energy

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In this paper, a stand-alone photovoltaic (SAPV) power supply system for Microner sprayer is identified and proposed. The designed system was comprised of three main parts: sprayer, solar power supply and control system. Initially, the control board and data acquisition system were designed and simulated by Proteus software and then implemented using an AVR microcontroller and tested via LabVIEW in the laboratory. next a prototype system was fabricated for evaluation purposes. A PV panel size of 88.5cm 2 , positioned horizontally above operator's head that generates 26.4 Wh/day was used as solar energy source. A small 2Ah (12V) battery is installed in the system as a stabilizer. This sprayer can work seven to nine hours daily. It is calculated that the average loss of collected energy due to non-application of maximum power point tracker (MPPT) was approximately 25%.

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“…Van Gool (1997) argues that the Evaporation of tomato paste (Sogut et al, 2010), milk and bread processing (Ho et al, 1986), fish drying (Tiwari et al, 2009), extrusion of fish feed (Boyar et al, 2012), drying of rice (Pandey et al, 2012), carrot cubes (Nazghelichi et al, 2010), cereal grains (Amant ea et al, 2013), red pepper (Akpinar, 2004), mulberry (Akbulut and Durmuş, 2010), coroba slices (Corzo et al, 2008a(Corzo et al, , 2008b, corn (Syahrul et al, 2003;Fortes et al, 2009;Bolaji, 2011), wheat (Fortes, 2004;Fortes and Ferreira, 2004;Inaba, 2007;Assari et al, 2013), carrot (Aghbashlo et al, 2009), pistachio (Midilli and Kucuk, 2003), coffee (Hern andez-D ıaz et al, 2013;Fissore et al, 2014), chili (Sami et al, 2011), olive leaves (Celma and Cuadros, 2009;Icier, 2009a, 2011), beef (Liu et al, 2008), mint leaves (Colak et al, 2008;Akpinar, 2010a;BoulemtafesBoukadoum and Benzaoui, 2011), parsley leaves (Akpinar, 2011), jackfruit leather (Chowdhury et al, 2011), multilayer porous media , solar greenhouse drying (Ozgener and Ozgener, 2009a), solar air drying (Tyagi et al, 2009), steam production (Saidur et al, 2010), cogeneration in sugar production (Kamate and Gangavati, 2009), ethanol production (Palacios-Bereche et al, 2013), milling of cereals (Akinoso et al, 2013), pasta …”

Section: Use Of Exergetic Indicatorsmentioning

confidence: 99%

The use of exergetic indicators in the food industry – A review

Zisopoulos

Rossier-Miranda²,

Goot

et al. 2015

Critical Reviews in Food Science and Nutrition

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Assessment of sustainability will become more relevant for the food industry in the years to come. Analysis based on exergy, including the use of exergetic indicators and Grassmann diagrams, is a useful tool for the quantitative and qualitative assessment of the efficiency of industrial food chains. In this paper, we review the methodology of exergy analysis and the exergetic indicators that are most appropriate for use in the food industry. The challenges of applying exergy analysis in industrial food chains and the specific features of food processes are also discussed.

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Energy and exergy analysis of an indirect solar cabinet dryer based on mathematical modeling results

Cited by 80 publications

References 18 publications

Exergetic simulation of a combined infrared-convective drying process

Exergetic simulation of a combined infrared-convective drying process

A novel application of stand-alone photovoltaic system in agriculture: solar-powered Microner sprayer

The use of exergetic indicators in the food industry – A review

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