Probabilistic design approach to build the litheness in an integrated process scheme

Shyamal Gondkar, Edwin Zondervan, Sivakumar Sreeramagiri, Andre B. de Haan, Jan Meuldijk

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Flexibility in manufacturing processes is essential not only to handle a variety of feed stocks or to produce multiple product grades but also to accommodate process or catalyst inventions to improve productivity or quality. While designing in litheness we should ensure the robustness of the process output. In this paper, through a case study of biodiesel manufacturing, we summarize a novel technique which uses a probabilistic design approach using meta-models to evaluate the process intensification/integration scheme in a bio-refinery context.In our methodology first we develop individual process models for a number of processes intensification alternatives where waste or non-edible vegetable oil are converted to biodiesel. These alternatives include the use of reactive distillation and a supercritical process. We integrate these process intensification schemes along with other necessary process steps to establish a plausible manufacturing process. Simultaneously we formulate high fidelity meta-models to describe the various responses of the reactive distillation column w.r.t the changes in the process conditions (or decision variables) in a given design space as an example. This simplification allows us to setup a probabilistic design using commercially available meta-heuristic optimization tools.

Original languageEnglish
Pages (from-to)720-724
Number of pages5
JournalComputer Aided Chemical Engineering
Volume31
DOIs
Publication statusPublished - 7 Aug 2012
Event11th International Symposium on Process Systems Engineering (PSE 2012) - Singapore
Duration: 15 Jul 201219 Jul 2012
Conference number: 11

Fingerprint

Biofuels
Biodiesel
Plant Oils
Vegetable oils
Distillation columns
Patents and inventions
Distillation
Productivity
Catalysts

Keywords

  • Meta-model
  • Probabilistic design
  • Process integration
  • Reactive distillation

Cite this

@article{9dd19a534142441cabbee162911616d9,
title = "Probabilistic design approach to build the litheness in an integrated process scheme",
abstract = "Flexibility in manufacturing processes is essential not only to handle a variety of feed stocks or to produce multiple product grades but also to accommodate process or catalyst inventions to improve productivity or quality. While designing in litheness we should ensure the robustness of the process output. In this paper, through a case study of biodiesel manufacturing, we summarize a novel technique which uses a probabilistic design approach using meta-models to evaluate the process intensification/integration scheme in a bio-refinery context.In our methodology first we develop individual process models for a number of processes intensification alternatives where waste or non-edible vegetable oil are converted to biodiesel. These alternatives include the use of reactive distillation and a supercritical process. We integrate these process intensification schemes along with other necessary process steps to establish a plausible manufacturing process. Simultaneously we formulate high fidelity meta-models to describe the various responses of the reactive distillation column w.r.t the changes in the process conditions (or decision variables) in a given design space as an example. This simplification allows us to setup a probabilistic design using commercially available meta-heuristic optimization tools.",
keywords = "Meta-model, Probabilistic design, Process integration, Reactive distillation",
author = "Shyamal Gondkar and Edwin Zondervan and Sivakumar Sreeramagiri and {de Haan}, {Andre B.} and Jan Meuldijk",
year = "2012",
month = "8",
day = "7",
doi = "10.1016/B978-0-444-59507-2.50136-0",
language = "English",
volume = "31",
pages = "720--724",
journal = "Computer Aided Chemical Engineering",
issn = "1570-7946",
publisher = "Elsevier",

}

Probabilistic design approach to build the litheness in an integrated process scheme. / Gondkar, Shyamal; Zondervan, Edwin; Sreeramagiri, Sivakumar; de Haan, Andre B.; Meuldijk, Jan.

In: Computer Aided Chemical Engineering, Vol. 31, 07.08.2012, p. 720-724.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Probabilistic design approach to build the litheness in an integrated process scheme

AU - Gondkar, Shyamal

AU - Zondervan, Edwin

AU - Sreeramagiri, Sivakumar

AU - de Haan, Andre B.

AU - Meuldijk, Jan

PY - 2012/8/7

Y1 - 2012/8/7

N2 - Flexibility in manufacturing processes is essential not only to handle a variety of feed stocks or to produce multiple product grades but also to accommodate process or catalyst inventions to improve productivity or quality. While designing in litheness we should ensure the robustness of the process output. In this paper, through a case study of biodiesel manufacturing, we summarize a novel technique which uses a probabilistic design approach using meta-models to evaluate the process intensification/integration scheme in a bio-refinery context.In our methodology first we develop individual process models for a number of processes intensification alternatives where waste or non-edible vegetable oil are converted to biodiesel. These alternatives include the use of reactive distillation and a supercritical process. We integrate these process intensification schemes along with other necessary process steps to establish a plausible manufacturing process. Simultaneously we formulate high fidelity meta-models to describe the various responses of the reactive distillation column w.r.t the changes in the process conditions (or decision variables) in a given design space as an example. This simplification allows us to setup a probabilistic design using commercially available meta-heuristic optimization tools.

AB - Flexibility in manufacturing processes is essential not only to handle a variety of feed stocks or to produce multiple product grades but also to accommodate process or catalyst inventions to improve productivity or quality. While designing in litheness we should ensure the robustness of the process output. In this paper, through a case study of biodiesel manufacturing, we summarize a novel technique which uses a probabilistic design approach using meta-models to evaluate the process intensification/integration scheme in a bio-refinery context.In our methodology first we develop individual process models for a number of processes intensification alternatives where waste or non-edible vegetable oil are converted to biodiesel. These alternatives include the use of reactive distillation and a supercritical process. We integrate these process intensification schemes along with other necessary process steps to establish a plausible manufacturing process. Simultaneously we formulate high fidelity meta-models to describe the various responses of the reactive distillation column w.r.t the changes in the process conditions (or decision variables) in a given design space as an example. This simplification allows us to setup a probabilistic design using commercially available meta-heuristic optimization tools.

KW - Meta-model

KW - Probabilistic design

KW - Process integration

KW - Reactive distillation

UR - http://www.scopus.com/inward/record.url?scp=84864520627&partnerID=8YFLogxK

U2 - 10.1016/B978-0-444-59507-2.50136-0

DO - 10.1016/B978-0-444-59507-2.50136-0

M3 - Article

AN - SCOPUS:84864520627

VL - 31

SP - 720

EP - 724

JO - Computer Aided Chemical Engineering

JF - Computer Aided Chemical Engineering

SN - 1570-7946

ER -