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MATHEMATICAL MODELLING AND OPTIMIZATION OF HYDROGEN PRODUCTION FROM MICROBIAL ELECTROLYSIS CELL BY USING SOLID WASTE (LEACHATE)

Mathematical modelling and optimization of microbial electrolysis cell (MEC) in production of hydrogen were studied using solid waste leachate. This study introduces a two-phase dynamic model of the MEC in laboratory scale, which was adapted from an existing model constructed on material balances wi...

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Main Author: NUR AZMINA, IBRAHIM
Format: Final Year Project Report
Language:English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2020
Subjects:
TP Chemical technology
Online Access:http://ir.unimas.my/id/eprint/36705/3/Nur%20Azmina%20Binti%20Ibrahim%20ft.pdf
http://ir.unimas.my/id/eprint/36705/
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spelling my.unimas.ir.367052023-09-04T08:52:18Z http://ir.unimas.my/id/eprint/36705/ MATHEMATICAL MODELLING AND OPTIMIZATION OF HYDROGEN PRODUCTION FROM MICROBIAL ELECTROLYSIS CELL BY USING SOLID WASTE (LEACHATE) NUR AZMINA, IBRAHIM TP Chemical technology Mathematical modelling and optimization of microbial electrolysis cell (MEC) in production of hydrogen were studied using solid waste leachate. This study introduces a two-phase dynamic model of the MEC in laboratory scale, which was adapted from an existing model constructed on material balances with the integration of bioelectrochemical reactions. The model estimation and validation were executed by estimating the model parameters with experimental results of MEC fed with acetate and simulated landfill leachate, respectively. The maximum hydrogen production achieved in model validation was 0.065 L/day which exceeded the experimental results of MEC fed with simulated landfill leachate by up to 18%. With the positive results from model validation, the model was optimized to minimize the gap between simulated and experimental results of MEC fed with leachate. After the optimization approach, the mean average of deviations was reduced by 63.6% as compared to deviations before optimization. Thus, maximum hydrogen production was obtained at 0.06 L/day. The optimized model was used to study and examine the performances of microbial and hydrogen production rate throughout the MEC operation with simulated landfill leachate. This model is capable of illustrating the behaviour of anodophilic, acetoclastic methanogenic and hydrogenotrophic microorganisms with their growth and metabolic activities during the 15 days. This model also able to simulate hydrogen production in the MEC fed with simulated landfill leachate. The highest peak of hydrogen formation rate obtained in this study was 0.0604 L/day. Universiti Malaysia Sarawak, (UNIMAS) 2020 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/36705/3/Nur%20Azmina%20Binti%20Ibrahim%20ft.pdf NUR AZMINA, IBRAHIM (2020) MATHEMATICAL MODELLING AND OPTIMIZATION OF HYDROGEN PRODUCTION FROM MICROBIAL ELECTROLYSIS CELL BY USING SOLID WASTE (LEACHATE). [Final Year Project Report] (Unpublished)
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 TP Chemical technology
spellingShingle TP Chemical technology
NUR AZMINA, IBRAHIM
MATHEMATICAL MODELLING AND OPTIMIZATION OF HYDROGEN PRODUCTION FROM MICROBIAL ELECTROLYSIS CELL BY USING SOLID WASTE (LEACHATE)
description Mathematical modelling and optimization of microbial electrolysis cell (MEC) in production of hydrogen were studied using solid waste leachate. This study introduces a two-phase dynamic model of the MEC in laboratory scale, which was adapted from an existing model constructed on material balances with the integration of bioelectrochemical reactions. The model estimation and validation were executed by estimating the model parameters with experimental results of MEC fed with acetate and simulated landfill leachate, respectively. The maximum hydrogen production achieved in model validation was 0.065 L/day which exceeded the experimental results of MEC fed with simulated landfill leachate by up to 18%. With the positive results from model validation, the model was optimized to minimize the gap between simulated and experimental results of MEC fed with leachate. After the optimization approach, the mean average of deviations was reduced by 63.6% as compared to deviations before optimization. Thus, maximum hydrogen production was obtained at 0.06 L/day. The optimized model was used to study and examine the performances of microbial and hydrogen production rate throughout the MEC operation with simulated landfill leachate. This model is capable of illustrating the behaviour of anodophilic, acetoclastic methanogenic and hydrogenotrophic microorganisms with their growth and metabolic activities during the 15 days. This model also able to simulate hydrogen production in the MEC fed with simulated landfill leachate. The highest peak of hydrogen formation rate obtained in this study was 0.0604 L/day.
format Final Year Project Report
author NUR AZMINA, IBRAHIM
author_facet NUR AZMINA, IBRAHIM
author_sort NUR AZMINA, IBRAHIM
title MATHEMATICAL MODELLING AND OPTIMIZATION OF HYDROGEN PRODUCTION FROM MICROBIAL ELECTROLYSIS CELL BY USING SOLID WASTE (LEACHATE)
title_short MATHEMATICAL MODELLING AND OPTIMIZATION OF HYDROGEN PRODUCTION FROM MICROBIAL ELECTROLYSIS CELL BY USING SOLID WASTE (LEACHATE)
title_full MATHEMATICAL MODELLING AND OPTIMIZATION OF HYDROGEN PRODUCTION FROM MICROBIAL ELECTROLYSIS CELL BY USING SOLID WASTE (LEACHATE)
title_fullStr MATHEMATICAL MODELLING AND OPTIMIZATION OF HYDROGEN PRODUCTION FROM MICROBIAL ELECTROLYSIS CELL BY USING SOLID WASTE (LEACHATE)
title_full_unstemmed MATHEMATICAL MODELLING AND OPTIMIZATION OF HYDROGEN PRODUCTION FROM MICROBIAL ELECTROLYSIS CELL BY USING SOLID WASTE (LEACHATE)
title_sort mathematical modelling and optimization of hydrogen production from microbial electrolysis cell by using solid waste (leachate)
publisher Universiti Malaysia Sarawak, (UNIMAS)
publishDate 2020
url http://ir.unimas.my/id/eprint/36705/3/Nur%20Azmina%20Binti%20Ibrahim%20ft.pdf
http://ir.unimas.my/id/eprint/36705/
_version_ 1776251360989151232
score 13.211869

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