Abstract
Designing the layout of a chemical plant is a complex and important task. Its main objective is to find a most economical spatial arrangement of the equipment and associated pipes that satisfies construction, operation, maintenance and safety constraints. The problem is so complex it is still solved manually, taking multiple engineers many months (or even years) to complete. This paper provides (a) the most comprehensive model ever reported in the literature for spatially arranging the equipment, and (b) a Large Neighbourhood Search framework that enables complete solvers explore much larger neighbourhoods than previous approaches to this problem. The two contributions are part of a system being developed in collaboration with Woodside Energy Ltd. for arranging their Liquefied Natural Gas plants. The results are indeed so promising that Woodside are actively exploring its commercialisation.
| Language | English |
|---|---|
| Title of host publication | Principles and Practice of Constraint Programming |
| Subtitle of host publication | 24th International Conference, CP 2018 Lille, France, August 27–31, 2018 Proceedings |
| Editors | John Hooker |
| Place of Publication | Cham Switzerland |
| Publisher | Springer |
| Pages | 473-489 |
| Number of pages | 17 |
| ISBN (Electronic) | 9783319983349 |
| ISBN (Print) | 9783319983332 |
| DOIs | |
| Publication status | Published - 23 Aug 2018 |
| Event | International Conference on Principles and Practice of Constraint Programming 2018 - Lille, France Duration: 27 Aug 2018 → 31 Aug 2018 Conference number: 24th http://cp2018.a4cp.org/ |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Publisher | Springer |
| Volume | 11008 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | International Conference on Principles and Practice of Constraint Programming 2018 |
|---|---|
| Abbreviated title | CP 2018 |
| Country | France |
| City | Lille |
| Period | 27/08/18 → 31/08/18 |
| Internet address |
Cite this
}
Process plant layout optimization : equipment allocation. / Belov, Gleb; Czauderna, Tobias; de la Banda, Maria Garcia; Klapperstueck, Matthias; Senthooran, Ilankaikone; Smith, Mitch; Wybrow, Michael; Wallace, Mark.
Principles and Practice of Constraint Programming : 24th International Conference, CP 2018 Lille, France, August 27–31, 2018 Proceedings. ed. / John Hooker. Cham Switzerland : Springer, 2018. p. 473-489 (Lecture Notes in Computer Science; Vol. 11008 ).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
TY - GEN
T1 - Process plant layout optimization
T2 - equipment allocation
AU - Belov, Gleb
AU - Czauderna, Tobias
AU - de la Banda, Maria Garcia
AU - Klapperstueck, Matthias
AU - Senthooran, Ilankaikone
AU - Smith, Mitch
AU - Wybrow, Michael
AU - Wallace, Mark
PY - 2018/8/23
Y1 - 2018/8/23
N2 - Designing the layout of a chemical plant is a complex and important task. Its main objective is to find a most economical spatial arrangement of the equipment and associated pipes that satisfies construction, operation, maintenance and safety constraints. The problem is so complex it is still solved manually, taking multiple engineers many months (or even years) to complete. This paper provides (a) the most comprehensive model ever reported in the literature for spatially arranging the equipment, and (b) a Large Neighbourhood Search framework that enables complete solvers explore much larger neighbourhoods than previous approaches to this problem. The two contributions are part of a system being developed in collaboration with Woodside Energy Ltd. for arranging their Liquefied Natural Gas plants. The results are indeed so promising that Woodside are actively exploring its commercialisation.
AB - Designing the layout of a chemical plant is a complex and important task. Its main objective is to find a most economical spatial arrangement of the equipment and associated pipes that satisfies construction, operation, maintenance and safety constraints. The problem is so complex it is still solved manually, taking multiple engineers many months (or even years) to complete. This paper provides (a) the most comprehensive model ever reported in the literature for spatially arranging the equipment, and (b) a Large Neighbourhood Search framework that enables complete solvers explore much larger neighbourhoods than previous approaches to this problem. The two contributions are part of a system being developed in collaboration with Woodside Energy Ltd. for arranging their Liquefied Natural Gas plants. The results are indeed so promising that Woodside are actively exploring its commercialisation.
UR - http://www.scopus.com/inward/record.url?scp=85053155662&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-98334-9_31
DO - 10.1007/978-3-319-98334-9_31
M3 - Conference Paper
SN - 9783319983332
T3 - Lecture Notes in Computer Science
SP - 473
EP - 489
BT - Principles and Practice of Constraint Programming
A2 - Hooker, John
PB - Springer
CY - Cham Switzerland
ER -