Parametric optimization and statistical evaluation of a spray dryer for the evaporation of caustic soda solution

Optimum evaporation of a 50% w/w caustic soda solution with a spray dryer was investigated in this work to enhance performance and statistically evaluate process parameters. Application of suitable model with validation, fabrication and operation within predicted optimum values enabled high performa...

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Main Authors: B.A. Olufemi, M.K. Ayomoh
Format: Article
Language:English
Published: Elsevier 2019-07-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844019356865
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spelling doaj-d2dbe3d87f3846b09941ddffb98f79fd2020-11-25T03:10:03ZengElsevierHeliyon2405-84402019-07-0157e02026Parametric optimization and statistical evaluation of a spray dryer for the evaporation of caustic soda solutionB.A. Olufemi0M.K. Ayomoh1Department of Chemical and Petroleum Engineering, University of Lagos, Lagos, Nigeria; Corresponding author.Department of Industrial and Systems Engineering, University of Pretoria, 0028, Hatfield, Pretoria, South AfricaOptimum evaporation of a 50% w/w caustic soda solution with a spray dryer was investigated in this work to enhance performance and statistically evaluate process parameters. Application of suitable model with validation, fabrication and operation within predicted optimum values enabled high performance, productivity and energy conservation. The highest exit mass flow rate of NaOH was 0.0459 kg/s, depicting 12% better value than the computed optimum value. The highest value of 73.85% was obtained for the exit final NaOH weight percent. Improvement over conventional multiple effect evaporators to obtain 73% w/w NaOH solution resulted in energy savings of about 2.34 × 106 J/kg (about 99.6565% specific energy savings). Statistical evaluation of process parameters using Analysis of Variance (ANOVA), Bonferroni-Holm, Holm-Sidak and Tukey Posthoc parametric tests enabled the confirmation of significant relationships among operating variables. The outcome indicated the possibility of better attainments in the field.http://www.sciencedirect.com/science/article/pii/S2405844019356865Chemical engineeringEnergy
collection DOAJ
language English
format Article
sources DOAJ
author B.A. Olufemi
M.K. Ayomoh
spellingShingle B.A. Olufemi
M.K. Ayomoh
Parametric optimization and statistical evaluation of a spray dryer for the evaporation of caustic soda solution
Heliyon
Chemical engineering
Energy
author_facet B.A. Olufemi
M.K. Ayomoh
author_sort B.A. Olufemi
title Parametric optimization and statistical evaluation of a spray dryer for the evaporation of caustic soda solution
title_short Parametric optimization and statistical evaluation of a spray dryer for the evaporation of caustic soda solution
title_full Parametric optimization and statistical evaluation of a spray dryer for the evaporation of caustic soda solution
title_fullStr Parametric optimization and statistical evaluation of a spray dryer for the evaporation of caustic soda solution
title_full_unstemmed Parametric optimization and statistical evaluation of a spray dryer for the evaporation of caustic soda solution
title_sort parametric optimization and statistical evaluation of a spray dryer for the evaporation of caustic soda solution
publisher Elsevier
series Heliyon
issn 2405-8440
publishDate 2019-07-01
description Optimum evaporation of a 50% w/w caustic soda solution with a spray dryer was investigated in this work to enhance performance and statistically evaluate process parameters. Application of suitable model with validation, fabrication and operation within predicted optimum values enabled high performance, productivity and energy conservation. The highest exit mass flow rate of NaOH was 0.0459 kg/s, depicting 12% better value than the computed optimum value. The highest value of 73.85% was obtained for the exit final NaOH weight percent. Improvement over conventional multiple effect evaporators to obtain 73% w/w NaOH solution resulted in energy savings of about 2.34 × 106 J/kg (about 99.6565% specific energy savings). Statistical evaluation of process parameters using Analysis of Variance (ANOVA), Bonferroni-Holm, Holm-Sidak and Tukey Posthoc parametric tests enabled the confirmation of significant relationships among operating variables. The outcome indicated the possibility of better attainments in the field.
topic Chemical engineering
Energy
url http://www.sciencedirect.com/science/article/pii/S2405844019356865
work_keys_str_mv AT baolufemi parametricoptimizationandstatisticalevaluationofaspraydryerfortheevaporationofcausticsodasolution
AT mkayomoh parametricoptimizationandstatisticalevaluationofaspraydryerfortheevaporationofcausticsodasolution
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