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Modeling of free fatty acid content in the deodorization process of palm oil refinery using six sigma with response surface methodology

The present study aims to minimize the free fatty acid (FFA) content in Refined Bleached Deodorized Palm Oil of FELDA Vegetable Oils Sdn. Bhd. and KUNAK Refinery Sdn. Bhd. (Sawit Kinabalu) by using Six Sigma with Response Surface Methodology. Process flow of the deodorizing section of the palm oil r...

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Main Authors: Pogaku, Ravindra, S.M. Anisuzzaman
Format: Book Chapter
Language:English
Published: Springer International Publishing 2015
Subjects:
QH Natural history
Online Access:https://eprints.ums.edu.my/id/eprint/20183/1/Modeling%20of%20free%20fatty%20acid%20content%20in%20the%20deodorization%20process%20of%20palm%20oil%20refinery%20using%20six%20sigma%20with%20response%20surface%20methodology.pdf
https://eprints.ums.edu.my/id/eprint/20183/
https://doi.org/10.1007/978-3-319-17915-5_5
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spelling my.ums.eprints.201832018-06-20T00:53:49Z https://eprints.ums.edu.my/id/eprint/20183/ Modeling of free fatty acid content in the deodorization process of palm oil refinery using six sigma with response surface methodology Pogaku, Ravindra S.M. Anisuzzaman QH Natural history The present study aims to minimize the free fatty acid (FFA) content in Refined Bleached Deodorized Palm Oil of FELDA Vegetable Oils Sdn. Bhd. and KUNAK Refinery Sdn. Bhd. (Sawit Kinabalu) by using Six Sigma with Response Surface Methodology. Process flow of the deodorizing section of the palm oil refinery have been studied. Unit operations from the process flow were identified and the parameters readings from 2011 till 2013 were tabulated. Only parameters' readings from year 2011 and 2012 were used. This data went through multiple regressions and the process parameters were narrowed down from 32 parameters to only six parameters. Then, few tests were conducted such Normality Test and so on. The R-Square value 94.65% correlated the actual and predicted value for validation data set. In the verify phase, it can be 95% confidence interval that the difference between the mean numbers is between -0.00514 and 0.00920 higher in actual value than the predicted value. To achieve 0.050% FFA, the optimal process variables were 340.1°C for boiler temperature (G760T), 64 BAR for boiler pressure (G760P), 270.1°C for heat exchanger (TE704), 68.6°C for pre-distillate fatty acid recycler (TE705), 43.1°C for hot well (TE750) and 12 BAR for steam header B (STEAMB). In this study, the equation model was developed to estimate the actual FFA content and predict the FFA content. Hence, this model can be directly used in the palm oil refinery to predict the FFA content and to optimize. Springer International Publishing 2015 Book Chapter NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/20183/1/Modeling%20of%20free%20fatty%20acid%20content%20in%20the%20deodorization%20process%20of%20palm%20oil%20refinery%20using%20six%20sigma%20with%20response%20surface%20methodology.pdf Pogaku, Ravindra and S.M. Anisuzzaman (2015) Modeling of free fatty acid content in the deodorization process of palm oil refinery using six sigma with response surface methodology. Advances in Bioprocess Technology. pp. 79-95. https://doi.org/10.1007/978-3-319-17915-5_5
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic QH Natural history
spellingShingle QH Natural history
Pogaku, Ravindra
S.M. Anisuzzaman
Modeling of free fatty acid content in the deodorization process of palm oil refinery using six sigma with response surface methodology
description The present study aims to minimize the free fatty acid (FFA) content in Refined Bleached Deodorized Palm Oil of FELDA Vegetable Oils Sdn. Bhd. and KUNAK Refinery Sdn. Bhd. (Sawit Kinabalu) by using Six Sigma with Response Surface Methodology. Process flow of the deodorizing section of the palm oil refinery have been studied. Unit operations from the process flow were identified and the parameters readings from 2011 till 2013 were tabulated. Only parameters' readings from year 2011 and 2012 were used. This data went through multiple regressions and the process parameters were narrowed down from 32 parameters to only six parameters. Then, few tests were conducted such Normality Test and so on. The R-Square value 94.65% correlated the actual and predicted value for validation data set. In the verify phase, it can be 95% confidence interval that the difference between the mean numbers is between -0.00514 and 0.00920 higher in actual value than the predicted value. To achieve 0.050% FFA, the optimal process variables were 340.1°C for boiler temperature (G760T), 64 BAR for boiler pressure (G760P), 270.1°C for heat exchanger (TE704), 68.6°C for pre-distillate fatty acid recycler (TE705), 43.1°C for hot well (TE750) and 12 BAR for steam header B (STEAMB). In this study, the equation model was developed to estimate the actual FFA content and predict the FFA content. Hence, this model can be directly used in the palm oil refinery to predict the FFA content and to optimize.
format Book Chapter
author Pogaku, Ravindra
S.M. Anisuzzaman
author_facet Pogaku, Ravindra
S.M. Anisuzzaman
author_sort Pogaku, Ravindra
title Modeling of free fatty acid content in the deodorization process of palm oil refinery using six sigma with response surface methodology
title_short Modeling of free fatty acid content in the deodorization process of palm oil refinery using six sigma with response surface methodology
title_full Modeling of free fatty acid content in the deodorization process of palm oil refinery using six sigma with response surface methodology
title_fullStr Modeling of free fatty acid content in the deodorization process of palm oil refinery using six sigma with response surface methodology
title_full_unstemmed Modeling of free fatty acid content in the deodorization process of palm oil refinery using six sigma with response surface methodology
title_sort modeling of free fatty acid content in the deodorization process of palm oil refinery using six sigma with response surface methodology
publisher Springer International Publishing
publishDate 2015
url https://eprints.ums.edu.my/id/eprint/20183/1/Modeling%20of%20free%20fatty%20acid%20content%20in%20the%20deodorization%20process%20of%20palm%20oil%20refinery%20using%20six%20sigma%20with%20response%20surface%20methodology.pdf
https://eprints.ums.edu.my/id/eprint/20183/
https://doi.org/10.1007/978-3-319-17915-5_5
_version_ 1760229681194336256
score 13.211869

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