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Optimal variables estimation for energy reduction via a remote supervisory control: application to a counter-flow rotary dryer

This research anatomizes an automatic mode control of a counter flow rotary dryer by variable speed drive technology, to control moisture content of product in an organic fertilizer drying process. Effects of rotary dryer cyclone blower and biogas blower were investigated on a fertilizer production...

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Detalles Bibliográficos
Autores principales: Sonsiri, Anuwit, Punyakum, Voravee, Radpukdee, Thana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6322056/
https://www.ncbi.nlm.nih.gov/pubmed/30627684
http://dx.doi.org/10.1016/j.heliyon.2018.e01087
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author Sonsiri, Anuwit
Punyakum, Voravee
Radpukdee, Thana
author_facet Sonsiri, Anuwit
Punyakum, Voravee
Radpukdee, Thana
author_sort Sonsiri, Anuwit
collection PubMed
description This research anatomizes an automatic mode control of a counter flow rotary dryer by variable speed drive technology, to control moisture content of product in an organic fertilizer drying process. Effects of rotary dryer cyclone blower and biogas blower were investigated on a fertilizer production by the 3(k) factorial experiment technique. Response surface methodology was employed to determine optimum variables. The multiple-response was revealed that the rotary dryer, the cyclone blower, and the biogas blower were 90 %, 48 %, and 92 %, respectively. These values were observed to make the system to consume electricity at the rate of 8.91 kW/h and the product moisture was observed at 18.90 % db. To inspect control system accuracy and accountability, the results obtained from the mathematical model was compared with the data from supervisory control and data acquisition system and with the data from real measurement also. The output responses were the electric power used and the product moisture obtained. The statistical investigation determined the optimization of energy usage.
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spelling pubmed-63220562019-01-09 Optimal variables estimation for energy reduction via a remote supervisory control: application to a counter-flow rotary dryer Sonsiri, Anuwit Punyakum, Voravee Radpukdee, Thana Heliyon Article This research anatomizes an automatic mode control of a counter flow rotary dryer by variable speed drive technology, to control moisture content of product in an organic fertilizer drying process. Effects of rotary dryer cyclone blower and biogas blower were investigated on a fertilizer production by the 3(k) factorial experiment technique. Response surface methodology was employed to determine optimum variables. The multiple-response was revealed that the rotary dryer, the cyclone blower, and the biogas blower were 90 %, 48 %, and 92 %, respectively. These values were observed to make the system to consume electricity at the rate of 8.91 kW/h and the product moisture was observed at 18.90 % db. To inspect control system accuracy and accountability, the results obtained from the mathematical model was compared with the data from supervisory control and data acquisition system and with the data from real measurement also. The output responses were the electric power used and the product moisture obtained. The statistical investigation determined the optimization of energy usage. Elsevier 2019-01-07 /pmc/articles/PMC6322056/ /pubmed/30627684 http://dx.doi.org/10.1016/j.heliyon.2018.e01087 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Sonsiri, Anuwit
Punyakum, Voravee
Radpukdee, Thana
Optimal variables estimation for energy reduction via a remote supervisory control: application to a counter-flow rotary dryer
title Optimal variables estimation for energy reduction via a remote supervisory control: application to a counter-flow rotary dryer
title_full Optimal variables estimation for energy reduction via a remote supervisory control: application to a counter-flow rotary dryer
title_fullStr Optimal variables estimation for energy reduction via a remote supervisory control: application to a counter-flow rotary dryer
title_full_unstemmed Optimal variables estimation for energy reduction via a remote supervisory control: application to a counter-flow rotary dryer
title_short Optimal variables estimation for energy reduction via a remote supervisory control: application to a counter-flow rotary dryer
title_sort optimal variables estimation for energy reduction via a remote supervisory control: application to a counter-flow rotary dryer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6322056/
https://www.ncbi.nlm.nih.gov/pubmed/30627684
http://dx.doi.org/10.1016/j.heliyon.2018.e01087
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