Trajectory optimization of an oscillating industrial two-stage evaporator utilizing a Python-Aspen Plus Dynamics toolchain

Yamanee-Nolin, Mikael (author): Lund University,Lunds universitet,Avdelningen för kemiteknik,Institutionen för processteknik och tillämpad biovetenskap,Institutioner vid LTH,Lunds Tekniska Högskola,Division of Chemical Engineering,Department of Process and Life Science Engineering,Departments at LTH,Faculty of Engineering, LTH

Andersson, Niklas (author): Lund University,Lunds universitet,Avdelningen för kemiteknik,Institutionen för processteknik och tillämpad biovetenskap,Institutioner vid LTH,Lunds Tekniska Högskola,Division of Chemical Engineering,Department of Process and Life Science Engineering,Departments at LTH,Faculty of Engineering, LTH

Nilsson, Bernt (author): Lund University,Lunds universitet,Avdelningen för kemiteknik,Institutionen för processteknik och tillämpad biovetenskap,Institutioner vid LTH,Lunds Tekniska Högskola,Division of Chemical Engineering,Department of Process and Life Science Engineering,Departments at LTH,Faculty of Engineering, LTH

(creator_code:org_t)

Elsevier BV, 2020
2020
English.
In: Chemical Engineering Research and Design. - : Elsevier BV. - 0263-8762 .- 1744-3563. ; 155, s. 12-17

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Abstract Subject headings

Evaporators are integral parts of many separation processes across production industries, and they need to be well understood in order to be operated well, thereby enabling high resource-efficiency and productivity. In a previous investigation, the effects of disturbing oscillations in a two-stage evaporator system were quantified. In the current study, these oscillations were reduced through trajectory optimization using steam consumption as a temporally discretized decision variable, taking advantage of a dynamic process flowsheet model in Aspen Plus Dynamics (APD) employed as if it were a black-box model. The optimization was performed utilizing a Python-APD toolchain with the SciPy implementation of COBYLA. The optimal trajectory was able to successfully reduce the objective function value (including the product stream mass flow variance and a bang-bang penalty on the trajectory itself) to slightly less than 0.3 % of that of the nominal case, in which a time-invariant steam consumption was employed. This in turn grants opportunities to increase throughput of the process, leading to significant financial gains.

TEKNIK OCH TEKNOLOGIER -- Kemiteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY -- Chemical Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER -- Kemiteknik -- Kemiska processer (hsv//swe)
ENGINEERING AND TECHNOLOGY -- Chemical Engineering -- Chemical Process Engineering (hsv//eng)

By the author/editor: Yamanee-Nolin, M ...; Andersson, Nikla ...; Nilsson, Bernt; Max-Hansen, Mark; Pajalic, Oleg, 1 ...

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Chemical Enginee ...; and Chemical Process ...

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