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A mathematical modelling framework for quantifying production of biofuel from waste banana

Wide-scale implementations or industrial-scale productions of biofuels from food/fruit waste are insufficient. One of the major reasons of wider implementations is lack of confidence on potential outcomes and subsequent monetary benefit. A mathematical model can provide estimations of potential biof...

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Main Authors: Imteaz, Monzur Alam, Hossain, A. B. M. Sharif, Bayatvarkeshi, Maryam
Format: Article
Published: Springer 2022
Subjects:
GE Environmental Sciences
Online Access:http://eprints.um.edu.my/42453/
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spelling my.um.eprints.424532023-10-07T03:43:09Z http://eprints.um.edu.my/42453/ A mathematical modelling framework for quantifying production of biofuel from waste banana Imteaz, Monzur Alam Hossain, A. B. M. Sharif Bayatvarkeshi, Maryam GE Environmental Sciences Wide-scale implementations or industrial-scale productions of biofuels from food/fruit waste are insufficient. One of the major reasons of wider implementations is lack of confidence on potential outcomes and subsequent monetary benefit. A mathematical model can provide estimations of potential biofuel generation capability under different input conditions. This paper presents a mathematical modelling framework for the estimation of bioethanol production potential from waste/rotten banana. A simple mathematical formulation comprised of three contributing factors such as shaking hour, temperature and water content is proposed. The factors were derived based on an earlier experimental study on production of bioethanol from waste banana. Results from the proposed mathematical model were compared with the experimental measurements. It is found that the proposed model is capable to estimate potential bioethanol productions from waste banana with very good accuracy achieving a coefficient of correlation of 0.995. Standard errors of the model's estimations are RMSE = 0.08, MAE = 0.06 and RAE = 0.01. Finally, to facilitate proper estimations of benefit-cost ratio, a mathematical framework is proposed. For industry-scale implementations of biofuel generation, such modelling framework is useful for the decision makers on deciding optimum input parameters through optimised energy consumption, which will ultimately render monetary benefits from such production. Similar mathematical framework can be adopted for such biofuel production from other fruit/food waste. Springer 2022-02 Article PeerReviewed Imteaz, Monzur Alam and Hossain, A. B. M. Sharif and Bayatvarkeshi, Maryam (2022) A mathematical modelling framework for quantifying production of biofuel from waste banana. Environment Development and Sustainability, 24 (2). pp. 2010-2021. ISSN 1387-585X, DOI https://doi.org/10.1007/s10668-021-01517-7 <https://doi.org/10.1007/s10668-021-01517-7>. 10.1007/s10668-021-01517-7
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 GE Environmental Sciences
spellingShingle GE Environmental Sciences
Imteaz, Monzur Alam
Hossain, A. B. M. Sharif
Bayatvarkeshi, Maryam
A mathematical modelling framework for quantifying production of biofuel from waste banana
description Wide-scale implementations or industrial-scale productions of biofuels from food/fruit waste are insufficient. One of the major reasons of wider implementations is lack of confidence on potential outcomes and subsequent monetary benefit. A mathematical model can provide estimations of potential biofuel generation capability under different input conditions. This paper presents a mathematical modelling framework for the estimation of bioethanol production potential from waste/rotten banana. A simple mathematical formulation comprised of three contributing factors such as shaking hour, temperature and water content is proposed. The factors were derived based on an earlier experimental study on production of bioethanol from waste banana. Results from the proposed mathematical model were compared with the experimental measurements. It is found that the proposed model is capable to estimate potential bioethanol productions from waste banana with very good accuracy achieving a coefficient of correlation of 0.995. Standard errors of the model's estimations are RMSE = 0.08, MAE = 0.06 and RAE = 0.01. Finally, to facilitate proper estimations of benefit-cost ratio, a mathematical framework is proposed. For industry-scale implementations of biofuel generation, such modelling framework is useful for the decision makers on deciding optimum input parameters through optimised energy consumption, which will ultimately render monetary benefits from such production. Similar mathematical framework can be adopted for such biofuel production from other fruit/food waste.
format Article
author Imteaz, Monzur Alam
Hossain, A. B. M. Sharif
Bayatvarkeshi, Maryam
author_facet Imteaz, Monzur Alam
Hossain, A. B. M. Sharif
Bayatvarkeshi, Maryam
author_sort Imteaz, Monzur Alam
title A mathematical modelling framework for quantifying production of biofuel from waste banana
title_short A mathematical modelling framework for quantifying production of biofuel from waste banana
title_full A mathematical modelling framework for quantifying production of biofuel from waste banana
title_fullStr A mathematical modelling framework for quantifying production of biofuel from waste banana
title_full_unstemmed A mathematical modelling framework for quantifying production of biofuel from waste banana
title_sort mathematical modelling framework for quantifying production of biofuel from waste banana
publisher Springer
publishDate 2022
url http://eprints.um.edu.my/42453/
_version_ 1781704645710708736
score 13.211869

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