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Data-driven modelling of bioethanol fuel production from rambutan fruit waste

Owing to lack of confidence on potential yield and subsequent net benefit, wide-scale implementations of bioethanol from food/fruit waste are not gaining momentum. With the aim of enhancing stakeholders' confidence, this paper presents a simple mathematical model formulation, which can estimate...

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Main Authors: Imteaz, Monzur Alam, Sharif Hossain, A.B.M., Ahsan, Amimul
Format: Article
Published: ICE Publishing 2022
Subjects:
QH Natural history
Online Access:http://eprints.um.edu.my/44127/
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spelling my.um.eprints.441272023-11-28T04:09:29Z http://eprints.um.edu.my/44127/ Data-driven modelling of bioethanol fuel production from rambutan fruit waste Imteaz, Monzur Alam Sharif Hossain, A.B.M. Ahsan, Amimul QH Natural history Owing to lack of confidence on potential yield and subsequent net benefit, wide-scale implementations of bioethanol from food/fruit waste are not gaining momentum. With the aim of enhancing stakeholders' confidence, this paper presents a simple mathematical model formulation, which can estimate potential bioethanol generation capacity from rambutan waste under different input conditions. The mathematical formulation was derived based on three contributing factors: pH, temperature and fermentation period. The factors were derived based on an earlier experimental study on production of bioethanol from rambutan waste. The results from the derived mathematical model were compared with the experimental measurements from earlier studies. It is found that the proposed model is capable of accurately estimating potential bioethanol production from rambutan waste. The model calculated results have a coefficient of correlation of 0.98 with the measured data. Standard errors of the model's estimations are also quite low, having root mean-squared error = 0.17, mean absolute error = 0.14 and relative absolute error = 0.02. For a wider industrial generation, a mathematical framework is proposed to calculate the cost-benefit ratio of production costs against yield value considering the time value of the money. Such a mathematical framework will assist decision makers on deciding optimum input parameters through optimised energy consumption. © 2022 ICE Publishing: All rights reserved. ICE Publishing 2022 Article PeerReviewed Imteaz, Monzur Alam and Sharif Hossain, A.B.M. and Ahsan, Amimul (2022) Data-driven modelling of bioethanol fuel production from rambutan fruit waste. Proceedings of Institution of Civil Engineers: Waste and Resource Management, 176 (2). pp. 70-76. ISSN 17476526, DOI https://doi.org/10.1680/jwarm.21.00041 <https://doi.org/10.1680/jwarm.21.00041>. 10.1680/jwarm.21.00041
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QH Natural history
spellingShingle QH Natural history
Imteaz, Monzur Alam
Sharif Hossain, A.B.M.
Ahsan, Amimul
Data-driven modelling of bioethanol fuel production from rambutan fruit waste
description Owing to lack of confidence on potential yield and subsequent net benefit, wide-scale implementations of bioethanol from food/fruit waste are not gaining momentum. With the aim of enhancing stakeholders' confidence, this paper presents a simple mathematical model formulation, which can estimate potential bioethanol generation capacity from rambutan waste under different input conditions. The mathematical formulation was derived based on three contributing factors: pH, temperature and fermentation period. The factors were derived based on an earlier experimental study on production of bioethanol from rambutan waste. The results from the derived mathematical model were compared with the experimental measurements from earlier studies. It is found that the proposed model is capable of accurately estimating potential bioethanol production from rambutan waste. The model calculated results have a coefficient of correlation of 0.98 with the measured data. Standard errors of the model's estimations are also quite low, having root mean-squared error = 0.17, mean absolute error = 0.14 and relative absolute error = 0.02. For a wider industrial generation, a mathematical framework is proposed to calculate the cost-benefit ratio of production costs against yield value considering the time value of the money. Such a mathematical framework will assist decision makers on deciding optimum input parameters through optimised energy consumption. © 2022 ICE Publishing: All rights reserved.
format Article
author Imteaz, Monzur Alam
Sharif Hossain, A.B.M.
Ahsan, Amimul
author_facet Imteaz, Monzur Alam
Sharif Hossain, A.B.M.
Ahsan, Amimul
author_sort Imteaz, Monzur Alam
title Data-driven modelling of bioethanol fuel production from rambutan fruit waste
title_short Data-driven modelling of bioethanol fuel production from rambutan fruit waste
title_full Data-driven modelling of bioethanol fuel production from rambutan fruit waste
title_fullStr Data-driven modelling of bioethanol fuel production from rambutan fruit waste
title_full_unstemmed Data-driven modelling of bioethanol fuel production from rambutan fruit waste
title_sort data-driven modelling of bioethanol fuel production from rambutan fruit waste
publisher ICE Publishing
publishDate 2022
url http://eprints.um.edu.my/44127/
_version_ 1783876775356399616
score 13.211869

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