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Modeling the solar drying of dandelion leaves by factorial experimental design

  • Haytem MoussaouiEmail author
  • Ahmed Aït Aghzzaf
  • Ali Idlimam
  • Abdelkader Lamharrar
Conference Paper
  • 20 Downloads

Abstract

A solar drying system can be described as an attractive and promising application of the sustainable solar energy source. Forced convection solar drying is deemed the main pillar in solar crops drying. However, up till now, only a few of these solar dryers that meet the technical, economical, and socio-economical requirements are commercially available. Therefore, the aim of this research is to present the technical as well as the economic study of an installed forced convection solar dryer. The results of several experiments on the convective drying of dandelion leaves are studied using experimental designs along with statistical calculations and analysis (ANOVA) as key tools to model and optimize the effect of several factors on the plant in a solar dryer with forced convection. The outcome is a mathematical model that describes our system and allows us to obtain the most adequate information at the lowest cost. Additionally, several system factors were determined in order to analyze their impact on the response of the solar dryer system. In this regard, the temperature factor proves to be the one that strongly influences the drying time response; whereas, the thickness factor was found to have a negligible impact. Furthermore, it has been found that there is a linear relationship between the drying time values established by the model and the experimental values.

Keywords

Solar drying system Design of experiments Modeling Taraxacum officinale 

List of symbols

DOE

Design of experiments

F1

Fisher–Snedecor test

F

Fisher–Snedecor

ANOVA

Analysis of variance

Y

Response of the experience

a0, a1, a2, a3, a12, a23 and a13

Factor coefficients

df

Degrees of freedom

SS

Sum of squares

MS

Mean square

\(R_{\text{adj}}^{2}\)

R-square adjusted

JMP

“John’s Macintosh Project” software

SAS

Statistical analysis system

Ymod

Predicted drying time

Yexp

Experimental drying time

p

p value or probability value

Notes

Acknowledgements

We are grateful to Mr. Brahim EL FADILI for his valuable help and financial support.

Compliance with ethical standards

Conflict of interest

The authors and the corresponding author declare that there are no conflicts of interest to declare.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Laboratory of Solar Energy and Medicinal Plants, Teacher’s Training CollegeCadi Ayyad UniversityMarrakeshMorocco
  2. 2.Laboratoire de Matière Condensée et Nanostructures (LMCN), Faculté des Sciences et Techniques GuélizUniversité Cadi AyyadMarrakechMorocco

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