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Modelling Temperature Profles in Food Waste Composting: Monod Kinetics Under Varied Aeration Conditions

Composting has become a widely adopted alternative to landflling for food waste management, ofering signifcant environmental benefts by reducing waste and mitigating climate change. This study focuses on enhancing the efciency of food waste composting by applying mathematical modelling to better und...

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Main Authors: Lai, Jia Chi, Then, Yi Lung, Hwang, Siaw San
Format: Article
Language:English
Published: Springer 2025
Subjects:
S Agriculture (General)
T Technology (General)
Online Access:http://ir.unimas.my/id/eprint/47359/1/s41660-024-00480-w.pdf
http://ir.unimas.my/id/eprint/47359/
https://link.springer.com/article/10.1007/s41660-024-00480-w
https://doi.org/10.1007/s41660-024-00480-w
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spelling my.unimas.ir-473592025-01-20T00:19:50Z http://ir.unimas.my/id/eprint/47359/ Modelling Temperature Profles in Food Waste Composting: Monod Kinetics Under Varied Aeration Conditions Lai, Jia Chi Then, Yi Lung Hwang, Siaw San S Agriculture (General) T Technology (General) Composting has become a widely adopted alternative to landflling for food waste management, ofering signifcant environmental benefts by reducing waste and mitigating climate change. This study focuses on enhancing the efciency of food waste composting by applying mathematical modelling to better understand the underlying biological and physiochemical mechanisms. First-order and Monod-type kinetic were incorporated to predict temperature variations in food waste composting under diferent aeration conditions. These models were solved and validated against experimental data to assess their predictive accuracy. In the composting process involved intermittent aeration, the modelled temperature profles showed good agreement with experimental data, with mean temperature diferences of 1.99 °C for the frst-order and 2.16 °C for the Monod-type kinetic. Monod-type kinetic provided more consistent predictions, achieving a lower relative root mean square error (rRMSE) of 8.03%, while the frst-order model exhibited larger temperature fuctuation. Notably, experimental data indicated a second peak in temperature on the seventh day, likely due to delayed microbial activity, a trend not fully captured by either model. In the composting process with continuous aeration, the Monod-type kinetic demonstrated better predictive performance at higher aeration rates, with an rRMSE of 10.82%. However, both models struggled to accurately predict complex temperature fuctuations at lower aeration rates. The results suggest that Monod-type kinetic provides superior prediction accuracy due to its ability to account for the interactions between multiple substrates and microorganisms. This study highlights the value of mathematical modelling in understanding and optimizing food waste composting processes. The fndings ofer practical insights for improving composting efciency and operational management, ultimately contributing to reduced environmental impacts from food waste. Springer 2025 Article PeerReviewed text en http://ir.unimas.my/id/eprint/47359/1/s41660-024-00480-w.pdf Lai, Jia Chi and Then, Yi Lung and Hwang, Siaw San (2025) Modelling Temperature Profles in Food Waste Composting: Monod Kinetics Under Varied Aeration Conditions. Process Integration and Optimization for Sustainability. pp. 1-15. ISSN 2509-4246 https://link.springer.com/article/10.1007/s41660-024-00480-w https://doi.org/10.1007/s41660-024-00480-w
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic S Agriculture (General)
T Technology (General)
spellingShingle S Agriculture (General)
T Technology (General)
Lai, Jia Chi
Then, Yi Lung
Hwang, Siaw San
Modelling Temperature Profles in Food Waste Composting: Monod Kinetics Under Varied Aeration Conditions
description Composting has become a widely adopted alternative to landflling for food waste management, ofering signifcant environmental benefts by reducing waste and mitigating climate change. This study focuses on enhancing the efciency of food waste composting by applying mathematical modelling to better understand the underlying biological and physiochemical mechanisms. First-order and Monod-type kinetic were incorporated to predict temperature variations in food waste composting under diferent aeration conditions. These models were solved and validated against experimental data to assess their predictive accuracy. In the composting process involved intermittent aeration, the modelled temperature profles showed good agreement with experimental data, with mean temperature diferences of 1.99 °C for the frst-order and 2.16 °C for the Monod-type kinetic. Monod-type kinetic provided more consistent predictions, achieving a lower relative root mean square error (rRMSE) of 8.03%, while the frst-order model exhibited larger temperature fuctuation. Notably, experimental data indicated a second peak in temperature on the seventh day, likely due to delayed microbial activity, a trend not fully captured by either model. In the composting process with continuous aeration, the Monod-type kinetic demonstrated better predictive performance at higher aeration rates, with an rRMSE of 10.82%. However, both models struggled to accurately predict complex temperature fuctuations at lower aeration rates. The results suggest that Monod-type kinetic provides superior prediction accuracy due to its ability to account for the interactions between multiple substrates and microorganisms. This study highlights the value of mathematical modelling in understanding and optimizing food waste composting processes. The fndings ofer practical insights for improving composting efciency and operational management, ultimately contributing to reduced environmental impacts from food waste.
format Article
author Lai, Jia Chi
Then, Yi Lung
Hwang, Siaw San
author_facet Lai, Jia Chi
Then, Yi Lung
Hwang, Siaw San
author_sort Lai, Jia Chi
title Modelling Temperature Profles in Food Waste Composting: Monod Kinetics Under Varied Aeration Conditions
title_short Modelling Temperature Profles in Food Waste Composting: Monod Kinetics Under Varied Aeration Conditions
title_full Modelling Temperature Profles in Food Waste Composting: Monod Kinetics Under Varied Aeration Conditions
title_fullStr Modelling Temperature Profles in Food Waste Composting: Monod Kinetics Under Varied Aeration Conditions
title_full_unstemmed Modelling Temperature Profles in Food Waste Composting: Monod Kinetics Under Varied Aeration Conditions
title_sort modelling temperature profles in food waste composting: monod kinetics under varied aeration conditions
publisher Springer
publishDate 2025
url http://ir.unimas.my/id/eprint/47359/1/s41660-024-00480-w.pdf
http://ir.unimas.my/id/eprint/47359/
https://link.springer.com/article/10.1007/s41660-024-00480-w
https://doi.org/10.1007/s41660-024-00480-w
_version_ 1822896181806628864
score 13.239859

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