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Mathematical Modelling and Optimisation of Hydrogen Production from Photo-Fermentation in Microbial Electrolysis Cell using Sago Waste with Neural Network Algorithm

Development of renewable energy is necessary as fossil fuels are bound to run out and hydrogen is an attractive alternative to replace fossil fuels because it is renewable and pollution-free. Microbial electrolysis cell (MEC) is a good method for hydrogen production from biomass. As a consequence of...

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Bibliographic Details
Main Author: Then, Mun Yip
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/34673/2/THEN%20MUN%20YIP.pdf
http://ir.unimas.my/id/eprint/34673/
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spelling my.unimas.ir.346732024-03-14T06:56:22Z http://ir.unimas.my/id/eprint/34673/ Mathematical Modelling and Optimisation of Hydrogen Production from Photo-Fermentation in Microbial Electrolysis Cell using Sago Waste with Neural Network Algorithm Then, Mun Yip TP Chemical technology Development of renewable energy is necessary as fossil fuels are bound to run out and hydrogen is an attractive alternative to replace fossil fuels because it is renewable and pollution-free. Microbial electrolysis cell (MEC) is a good method for hydrogen production from biomass. As a consequence of increased production of sago in Sarawak, sago waste has been rising over the years and cause negative environmental impact if sago waste is not properly treated. Thus, MEC is good where it can produce biohydrogen as a source of energy and at the same time, minimising the disposal problem of sago waste. For this project, mathematical modelling will be done to study the hydrogen production in MEC in-depth as the reaction in MEC is highly complex and non-linear making it hard to predict. Universiti Malaysia Sarawak (UNIMAS) 2020-07-24 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/34673/2/THEN%20MUN%20YIP.pdf Then, Mun Yip (2020) Mathematical Modelling and Optimisation of Hydrogen Production from Photo-Fermentation in Microbial Electrolysis Cell using Sago Waste with Neural Network Algorithm. [Final Year Project Report] (Unpublished)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
Then, Mun Yip
Mathematical Modelling and Optimisation of Hydrogen Production from Photo-Fermentation in Microbial Electrolysis Cell using Sago Waste with Neural Network Algorithm
description Development of renewable energy is necessary as fossil fuels are bound to run out and hydrogen is an attractive alternative to replace fossil fuels because it is renewable and pollution-free. Microbial electrolysis cell (MEC) is a good method for hydrogen production from biomass. As a consequence of increased production of sago in Sarawak, sago waste has been rising over the years and cause negative environmental impact if sago waste is not properly treated. Thus, MEC is good where it can produce biohydrogen as a source of energy and at the same time, minimising the disposal problem of sago waste. For this project, mathematical modelling will be done to study the hydrogen production in MEC in-depth as the reaction in MEC is highly complex and non-linear making it hard to predict.
format Final Year Project Report
author Then, Mun Yip
author_facet Then, Mun Yip
author_sort Then, Mun Yip
title Mathematical Modelling and Optimisation of Hydrogen Production from Photo-Fermentation in Microbial Electrolysis Cell using Sago Waste with Neural Network Algorithm
title_short Mathematical Modelling and Optimisation of Hydrogen Production from Photo-Fermentation in Microbial Electrolysis Cell using Sago Waste with Neural Network Algorithm
title_full Mathematical Modelling and Optimisation of Hydrogen Production from Photo-Fermentation in Microbial Electrolysis Cell using Sago Waste with Neural Network Algorithm
title_fullStr Mathematical Modelling and Optimisation of Hydrogen Production from Photo-Fermentation in Microbial Electrolysis Cell using Sago Waste with Neural Network Algorithm
title_full_unstemmed Mathematical Modelling and Optimisation of Hydrogen Production from Photo-Fermentation in Microbial Electrolysis Cell using Sago Waste with Neural Network Algorithm
title_sort mathematical modelling and optimisation of hydrogen production from photo-fermentation in microbial electrolysis cell using sago waste with neural network algorithm
publisher Universiti Malaysia Sarawak (UNIMAS)
publishDate 2020
url http://ir.unimas.my/id/eprint/34673/2/THEN%20MUN%20YIP.pdf
http://ir.unimas.my/id/eprint/34673/
_version_ 1794644136464220160
score 13.211869

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