Fuzzy modeling of a hybrid solar dryer: experimental validation

Zoukit, Ahmed; Ferouali, Hicham El; Salhi, Issam; Doubabi, Saïd; Abdenouri, Naji

doi:10.30521/jes.457645

Cited by 15 publications

(8 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, automatic tuning methods have also been developed, and some PID controllers may have automated tuning capabilities, as in previous studies [23,25], which used the self-tuning method. Modified forms of PID control, such as I-PD and multi-degrees-offreedom PID control, are currently used in the industry [18].…”

Section: Pid Controllermentioning

confidence: 99%

Untitled

2023

Jurnal Polimesin

View full text Add to dashboard Cite

Hohenheim Tunnel Dryer has two heating mechanisms, namely the solar collectors and the greenhouse effect. Two outlet fans are used to remove moisture from drying as well as to lower the temperature in the drying chamber. Suppose the outlet fans are turned on continuously, the temperature in the drying room will not reach the optimal drying temperature, and vice versa if the outlet fans are not turned on, the drying temperature can exceed 60°C. Controlling these outlet fans manually is a very inconvenient thing and becomes an obstacle for accepting this drying technology by the farmers. Therefore, this study focused on the design of temperature control for the Hohenheim Tunnel Dryer by using a proportional integral derivative (PID) controller with an Arduino Nano microcontroller. It controls the fan outlet to obtain an optimal drying temperature so that the operation of this dryer becomes more accessible and more efficient. The temperature sensor used is DHT22. The tuning method chosen is the Ziegler -Nichols method, and the setpoint value is selected at 55, which is the optimum temperature for drying most agricultural products. The design, manufacture, and testing of the temperature control system on the Hohenheim tunnel dryer was successfully carried out without over shoot and steady state error so it can be concluded that the system has worked well.

show abstract

Section: Pid Controllermentioning

confidence: 99%

Untitled

2023

Jurnal Polimesin

View full text Add to dashboard Cite

show abstract

“…A mathematical model for describing the heat transfer in the The temperatures in the drying chamber obtained experimentally and simulated model are estimated. The RMSE and RMSE% values on the drying day in the MFCSD are calculated (Zoukit et al, 2019).…”

Section: Mathematical Model Of Msdmentioning

confidence: 99%

“…The designed MSD simulated model has been successfully validated with compare to experimental values. The RMSE and RMSE% of a simulated model to the experimental value of dryer temperature remains below 1.2°C and 0.86%, respectively, as the PID controller designing for the system are more robust and easier(Zoukit et al, 2019).The fluctuations in solar radiation and ambient temperature lead to dynamic variations in the process parameters i.e. collector air temperature, PCM temperature, and temperature of drying chamber as exhibited in Figure 5.…”

mentioning

confidence: 99%

Performance evaluation and economic analysis of modified solar dryer with thermal energy storage for drying of blood fruit ( Haematocarpus validus )

Kondareddy

Sivakumaran

Krishnan

et al. 2021

J. Food Process. Preserv.

View full text Add to dashboard Cite

Abbreviations: h c , convective heat transfer coefficient (W/m 2 K); C pb , cost payback period per year; C sa , cost saved per day per year; C sp , extra cost spends per year; C v , air volume heat capacity (J/kg K); EN pb , Environmental payback period per day; E cd , energy consumed per day; Em CO 2 , CO 2 Emitted per day; E pb , energy payback period per day; E sav , energy saved per day; Re CO 2 , CO 2 restricted per day; A, area (m 2 ); Ex, exergy (kw); F, mass flow rate of dry air (kg/s); H, humidity (%); IMC, initial moisture content; M, moisture content; MR, moisture ratio (%); N, total number of values; PCM, phase changing material; PV, photo voltaic; T, temperature (°C); W, weight (g); a, ambient; avg, average; b, base plate; ca, circulating air; d, dryer chamber; e, experimental value; eff, Efficiency; f , dry air; g1, glaze glass (upper glass); g2, glaze glass (inner glass); in, inner; out, outer; p, primary collector; p ′ , product drying; pre, predicted value; pw, paraffin wax; s, simulation value; su, storage unit; wet, wet sample; , length of collector m; , thickness m; , density of dry air kg/m 2 .

show abstract

“…The temperature in the drying chamber was calculated from experimental values as well as from simulated models. The RMSE and RMSE% values were also computed for the drying experiments conducted in MFCSD (Zoukit, El Ferouali, Salhi, Doubabi, & Abdenouri, 2019).…”

Section: Mathematical Model Of Mfcsdmentioning

confidence: 99%

Performance evaluation of modified forced convection solar dryer with energy storage unit for drying of elephant apple (Dillenia indica)

Kondareddy

Sivakumaran

Krishnan

et al. 2021

J Food Process Engineering

View full text Add to dashboard Cite

The development and performance of a modified force convection solar dryer (MFCSD) for drying elephant apple slices have been presented in this research. The MFCSD consists of two solar collectors and a drying chamber of 20 kg drying capacity. The secondary collector is integrated with thermal energy storage unit using a phase change material-paraffin wax. Performance analysis of the MFCSD was studied for drying elephant apple (Dillenia indica) slices. The proposed design enhanced the collector thermal efficiency by 12% as compared to a conventional glass collector. Drying of elephant apple slices in MFCSD will limit exergy losses and increase exergy efficiency. The estimated uncertainty of the collector chamber and the drying unit of the proposed MFCSD were obtained as ±3.3% and ±1.0%. Quality analysis (proximity analysis and textural properties) of the fresh as well as samples dried in open sun drying, tray drying, and MFCSD was carried out. The contents of carbohydrates (47.85 ± 2.66) and protein (21.24 ± 1.68) were high in samples dried in MFCSD when compared to samples dried in other two methods. The ash content of the sample dried in MFCSD was found to be 10.25 ± 0.15%, which was higher than samples dried in tray dryer. The payback period for drying elephant apple in MFCSD is 2.56 years, which is lower than the lifetime period (20 years) of the dryer. Practical ApplicationsA traditional method practiced by small farmers for drying high-value perishable fruits is conventional open sun drying (OSD). Owing to slow drying rate and excessive heating, products dried under the open sun lose their nutritious and medicinal qualities. The present work details the construction of a low-cost solar dryer for the drying of elephant apple. The aim of the drying kinetics to develop the architecture aspects of the solar dryer is to refine the drying systems. The results showed that the performance of modified force convection solar dryer (MFCSD) assisted with thermal storage could improve the quality of dried elephant apple slices and reduce drying time in comparison with an OSD method and a tray drying method. MFCSD would Abbreviations: A, area (m 2 ); Cv, air volume heat capacity (J/kg K); A % , ash percentage (%); Cp, dry air heat capacity (J/kg K); Exeff, exergy efficiency (kW); Ex in , input exergy (kW); Ex loss , exergy loss (kW); F, mass flow rate of dry air (kg/s); Fc, fiber content in the drying sample; F % , sample fat (%); H, humidity (%); hc, convective heat transfer coefficient (W/m 2 K); M i , initial moisture content; m i , sliced elephant apple initial mass (g); m oven , mass of sliced-dried sample using oven (g); m s , mass of sliced sample dried in MFCSD (g); M t , moisture content at time (t); T, temperature ( C); Vd, dry air volume in dryer (m 3 ); W, weight (g).

show abstract

Fuzzy modeling of a hybrid solar dryer: experimental validation

Cited by 15 publications

References 20 publications

Untitled

Untitled

Performance evaluation and economic analysis of modified solar dryer with thermal energy storage for drying of blood fruit ( Haematocarpus validus )

Performance evaluation of modified forced convection solar dryer with energy storage unit for drying of elephant apple (Dillenia indica)

Contact Info

Product

Resources

About