Details
| Original language | English |
|---|---|
| Pages (from-to) | 325-330 |
| Number of pages | 6 |
| Journal | IFAC-PapersOnLine |
| Volume | 54 |
| Issue number | 1 |
| Early online date | 9 Nov 2021 |
| Publication status | Published - 2021 |
| Event | 17th IFAC Symposium on Information Control Problems in Manufacturing - Budapest, Hungary Duration: 7 Jun 2021 → 9 Jun 2021 |
Abstract
This paper focuses on the scheduling problem in the offshore wind farm installation process, which is strongly influenced by the offshore weather condition. Due to the nature of the offshore weather condition, i.e., partially predictable and uncontrollable, it is urgent to find a way to schedule the offshore installation process effectively and economically. For this purpose, this work presents a model based on Timed Petri Nets (TPN) approach for the offshore installation process and applies simulated annealing algorithm to find the optimal schedule.
Keywords
- Offshore wind farm, Scheduling, Simulated annealing, Timed petri nets
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: IFAC-PapersOnLine, Vol. 54, No. 1, 2021, p. 325-330.
Research output: Contribution to journal › Conference article › Research
}
TY - JOUR
T1 - Scheduling of Offshore Wind Farm Installation using Simulated Annealing
AU - Peng, Shengrui
AU - Rippel, Daniel
AU - Becker, Matthias
AU - Szczerbicka-Lipinska, Helena
N1 - Funding Information: The authors gratefully acknowledge the financial support by the DFG (German Research Foundation) for the Project “OffshorePlan”, grant number ∆U 2049/1-1; SZ 51/33-1.
PY - 2021
Y1 - 2021
N2 - This paper focuses on the scheduling problem in the offshore wind farm installation process, which is strongly influenced by the offshore weather condition. Due to the nature of the offshore weather condition, i.e., partially predictable and uncontrollable, it is urgent to find a way to schedule the offshore installation process effectively and economically. For this purpose, this work presents a model based on Timed Petri Nets (TPN) approach for the offshore installation process and applies simulated annealing algorithm to find the optimal schedule.
AB - This paper focuses on the scheduling problem in the offshore wind farm installation process, which is strongly influenced by the offshore weather condition. Due to the nature of the offshore weather condition, i.e., partially predictable and uncontrollable, it is urgent to find a way to schedule the offshore installation process effectively and economically. For this purpose, this work presents a model based on Timed Petri Nets (TPN) approach for the offshore installation process and applies simulated annealing algorithm to find the optimal schedule.
KW - Offshore wind farm
KW - Scheduling
KW - Simulated annealing
KW - Timed petri nets
UR - http://www.scopus.com/inward/record.url?scp=85120716007&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2021.08.037
DO - 10.1016/j.ifacol.2021.08.037
M3 - Conference article
VL - 54
SP - 325
EP - 330
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
SN - 2405-8963
IS - 1
T2 - 17th IFAC Symposium on Information Control Problems in Manufacturing<br/>
Y2 - 7 June 2021 through 9 June 2021
ER -