Optimising the coagulation process on raw water for Connought Bridge Power Station
The use of water as coolant in cooling system is essential in efficiency of power plant operation. The aim and purpose of this research was to optimise the coagulation process and suitability of using natural coagulants in coagulation process on raw water for Connaught Bridge Power Station. To...
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my.uniten.dspace-216332023-05-04T17:20:58Z Optimising the coagulation process on raw water for Connought Bridge Power Station Muhammad Taufik Bin Mohd Said The use of water as coolant in cooling system is essential in efficiency of power plant operation. The aim and purpose of this research was to optimise the coagulation process and suitability of using natural coagulants in coagulation process on raw water for Connaught Bridge Power Station. To achieve the objective of this research, the jar test was carried out by varies the type of coagulant used. The parameters observed for this research are residual turbidity and colour while the pH is monitored throughout the experiment. The type of coagulants are organics coagulant which is Aluminium Sulfate (Alum) while for the inorganics coagulant which is Polymer. Polymer act as coagulant aid in primary coagulant which is Alum. Optimum dosage for these coagulants were determined. Results in this research proved the suitability of natural coagulant in coagulation process on raw water for Connaught Bridge Power Station with high percentage removal of residual turbidity and colour. The effect of mixing of natural coagulant mix with alum increase the percentage residual turbidity and colour removal. In conclusion, it shows that this research meet the objectives of optimising the coagulation process on raw water for Connaught Bridge power Station 2023-05-03T17:29:37Z 2023-05-03T17:29:37Z 2017-09-19 Resource Types::text::Thesis https://irepository.uniten.edu.my/handle/123456789/21633 en application/pdf |
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The use of water as coolant in cooling system is essential in efficiency of power plant
operation. The aim and purpose of this research was to optimise the coagulation process
and suitability of using natural coagulants in coagulation process on raw water for
Connaught Bridge Power Station. To achieve the objective of this research, the jar test
was carried out by varies the type of coagulant used. The parameters observed for this
research are residual turbidity and colour while the pH is monitored throughout the
experiment. The type of coagulants are organics coagulant which is Aluminium Sulfate
(Alum) while for the inorganics coagulant which is Polymer. Polymer act as coagulant aid
in primary coagulant which is Alum. Optimum dosage for these coagulants were
determined. Results in this research proved the suitability of natural coagulant in
coagulation process on raw water for Connaught Bridge Power Station with high
percentage removal of residual turbidity and colour. The effect of mixing of natural
coagulant mix with alum increase the percentage residual turbidity and colour removal. In
conclusion, it shows that this research meet the objectives of optimising the coagulation
process on raw water for Connaught Bridge power Station |
format |
Resource Types::text::Thesis |
author |
Muhammad Taufik Bin Mohd Said |
spellingShingle |
Muhammad Taufik Bin Mohd Said Optimising the coagulation process on raw water for Connought Bridge Power Station |
author_facet |
Muhammad Taufik Bin Mohd Said |
author_sort |
Muhammad Taufik Bin Mohd Said |
title |
Optimising the coagulation process on raw water for Connought Bridge Power Station |
title_short |
Optimising the coagulation process on raw water for Connought Bridge Power Station |
title_full |
Optimising the coagulation process on raw water for Connought Bridge Power Station |
title_fullStr |
Optimising the coagulation process on raw water for Connought Bridge Power Station |
title_full_unstemmed |
Optimising the coagulation process on raw water for Connought Bridge Power Station |
title_sort |
optimising the coagulation process on raw water for connought bridge power station |
publishDate |
2023 |
_version_ |
1806425697998077952 |
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13.214268 |