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Maximizing output of a sludge drying plant through multiple parameter optimization

The final processing facility of a typical oil and gas processing plant is the The Sludge Drying Plant (SDP) that produces bio-sludge cake that is sent out for final disposal. Mechanical inconsistency, uneven chemical reactions and other process disturbances contribute to the percentage of dry solid...

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Main Authors: Mohamed, M. Z., Ghazali, M. F. M., Idrus, S. M., Wahab, N. A.
Format: Conference or Workshop Item
Published: 2013
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/51158/
http://dx.doi.org/10.1109/ICIEA.2013.6566650
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spelling my.utm.511582017-09-17T08:02:41Z http://eprints.utm.my/id/eprint/51158/ Maximizing output of a sludge drying plant through multiple parameter optimization Mohamed, M. Z. Ghazali, M. F. M. Idrus, S. M. Wahab, N. A. TK Electrical engineering. Electronics Nuclear engineering The final processing facility of a typical oil and gas processing plant is the The Sludge Drying Plant (SDP) that produces bio-sludge cake that is sent out for final disposal. Mechanical inconsistency, uneven chemical reactions and other process disturbances contribute to the percentage of dry solid amount. A more realistic and reliable operational rules and algorithm is required, taking into account the controller, known and unknown parameters. To achieve maximum output of the SDP, each parameter is identified, and optimized individually, and treated as subsystems before fine tuning the system as a whole. Optimized controls for the subsystems ensure a maximum weight percent solution (wt%) is squeezed out from available process parameters. 2013 Conference or Workshop Item PeerReviewed Mohamed, M. Z. and Ghazali, M. F. M. and Idrus, S. M. and Wahab, N. A. (2013) Maximizing output of a sludge drying plant through multiple parameter optimization. In: Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013. http://dx.doi.org/10.1109/ICIEA.2013.6566650
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohamed, M. Z.
Ghazali, M. F. M.
Idrus, S. M.
Wahab, N. A.
Maximizing output of a sludge drying plant through multiple parameter optimization
description The final processing facility of a typical oil and gas processing plant is the The Sludge Drying Plant (SDP) that produces bio-sludge cake that is sent out for final disposal. Mechanical inconsistency, uneven chemical reactions and other process disturbances contribute to the percentage of dry solid amount. A more realistic and reliable operational rules and algorithm is required, taking into account the controller, known and unknown parameters. To achieve maximum output of the SDP, each parameter is identified, and optimized individually, and treated as subsystems before fine tuning the system as a whole. Optimized controls for the subsystems ensure a maximum weight percent solution (wt%) is squeezed out from available process parameters.
format Conference or Workshop Item
author Mohamed, M. Z.
Ghazali, M. F. M.
Idrus, S. M.
Wahab, N. A.
author_facet Mohamed, M. Z.
Ghazali, M. F. M.
Idrus, S. M.
Wahab, N. A.
author_sort Mohamed, M. Z.
title Maximizing output of a sludge drying plant through multiple parameter optimization
title_short Maximizing output of a sludge drying plant through multiple parameter optimization
title_full Maximizing output of a sludge drying plant through multiple parameter optimization
title_fullStr Maximizing output of a sludge drying plant through multiple parameter optimization
title_full_unstemmed Maximizing output of a sludge drying plant through multiple parameter optimization
title_sort maximizing output of a sludge drying plant through multiple parameter optimization
publishDate 2013
url http://eprints.utm.my/id/eprint/51158/
http://dx.doi.org/10.1109/ICIEA.2013.6566650
_version_ 1643652956862545920
score 13.211869

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