Modelling uncontrolled solar drying of mango waste

Ross Wilkins; James Brusey; Elena Gaura

doi:10.1016/j.jfoodeng.2018.05.012

Modelling uncontrolled solar drying of mango waste

Ross Wilkins, James Brusey, Elena Gaura

College of Engineering, Environment & Science

Research output: Contribution to journal › Article › peer-review

26 Citations (Scopus)

511 Downloads (Pure)

Abstract

Abstract Kiln-dried fruit drying time is readily predicted from initial moisture content since the environment is tightly controlled. For uncontrolled environments, such as a greenhouse solar dryer, a product's drying time varies depending on ambient conditions and is thus more difficult to predict. Prediction of the drying time is needed to better schedule dryer use. Data was obtained from a set of wireless scales that weigh the waste during solar drying after initial moisture content measurement of a sample. A set of linear and quadratic models for drying rate are tested with the best yielding a 39% reduction in RMSE over traditional models. The results indicate that the modelling approach is likely to be useful for open solar dryers where the temperature, and thus the drying rate, is not controlled.

Original language	English
Pages (from-to)	44-51
Number of pages	8
Journal	Journal of Food Engineering
Volume	237
Early online date	16 May 2018
DOIs	https://doi.org/10.1016/j.jfoodeng.2018.05.012
Publication status	Published - 1 Nov 2018

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Food Engineering. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Food Engineering ,VOL 237, (2018)DOI: 10.1016/j.jfoodeng.2018.05.012

© 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

Drying kinetics
Drying rate
Fruit drying
Internet of Things
Solar drying

ASJC Scopus subject areas

Food Science

Access to Document

10.1016/j.jfoodeng.2018.05.012

Post-PrintAccepted author manuscript, 4.81 MBLicence: CC BY-NC-ND

Cite this

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title = "Modelling uncontrolled solar drying of mango waste",

abstract = "Abstract Kiln-dried fruit drying time is readily predicted from initial moisture content since the environment is tightly controlled. For uncontrolled environments, such as a greenhouse solar dryer, a product's drying time varies depending on ambient conditions and is thus more difficult to predict. Prediction of the drying time is needed to better schedule dryer use. Data was obtained from a set of wireless scales that weigh the waste during solar drying after initial moisture content measurement of a sample. A set of linear and quadratic models for drying rate are tested with the best yielding a 39% reduction in RMSE over traditional models. The results indicate that the modelling approach is likely to be useful for open solar dryers where the temperature, and thus the drying rate, is not controlled. ",

keywords = "Drying kinetics, Drying rate, Fruit drying, Internet of Things, Solar drying",

author = "Ross Wilkins and James Brusey and Elena Gaura",

note = "NOTICE: this is the author{\textquoteright}s version of a work that was accepted for publication in Journal of Food Engineering. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Food Engineering ,VOL 237, (2018)DOI: 10.1016/j.jfoodeng.2018.05.012 {\textcopyright} 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ ",

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T1 - Modelling uncontrolled solar drying of mango waste

AU - Wilkins, Ross

AU - Brusey, James

AU - Gaura, Elena

N1 - NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Food Engineering. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Food Engineering ,VOL 237, (2018)DOI: 10.1016/j.jfoodeng.2018.05.012 © 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

PY - 2018/11/1

Y1 - 2018/11/1

N2 - Abstract Kiln-dried fruit drying time is readily predicted from initial moisture content since the environment is tightly controlled. For uncontrolled environments, such as a greenhouse solar dryer, a product's drying time varies depending on ambient conditions and is thus more difficult to predict. Prediction of the drying time is needed to better schedule dryer use. Data was obtained from a set of wireless scales that weigh the waste during solar drying after initial moisture content measurement of a sample. A set of linear and quadratic models for drying rate are tested with the best yielding a 39% reduction in RMSE over traditional models. The results indicate that the modelling approach is likely to be useful for open solar dryers where the temperature, and thus the drying rate, is not controlled.

AB - Abstract Kiln-dried fruit drying time is readily predicted from initial moisture content since the environment is tightly controlled. For uncontrolled environments, such as a greenhouse solar dryer, a product's drying time varies depending on ambient conditions and is thus more difficult to predict. Prediction of the drying time is needed to better schedule dryer use. Data was obtained from a set of wireless scales that weigh the waste during solar drying after initial moisture content measurement of a sample. A set of linear and quadratic models for drying rate are tested with the best yielding a 39% reduction in RMSE over traditional models. The results indicate that the modelling approach is likely to be useful for open solar dryers where the temperature, and thus the drying rate, is not controlled.

KW - Drying kinetics

KW - Drying rate

KW - Fruit drying

KW - Internet of Things

KW - Solar drying

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SP - 44

EP - 51

JO - Journal of Food Engineering

JF - Journal of Food Engineering

ER -

Modelling uncontrolled solar drying of mango waste

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Philippines UK coLlaborative Partnership-System for Environmental and Efficient Drying

James Brusey

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Modelling uncontrolled solar drying of mango waste

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Projects

Philippines UK coLlaborative Partnership-System for Environmental and Efficient Drying

Profiles

James Brusey

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