Scheduling of Offshore Wind Farm Installation using Simulated Annealing

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschung

Autoren

  • Shengrui Peng
  • Daniel Rippel
  • Matthias Becker
  • Helena Szczerbicka-Lipinska

Externe Organisationen

  • Universität Bremen
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)325-330
Seitenumfang6
FachzeitschriftIFAC-PapersOnLine
Jahrgang54
Ausgabenummer1
Frühes Online-Datum9 Nov. 2021
PublikationsstatusVeröffentlicht - 2021
Veranstaltung17th IFAC Symposium on Information Control Problems in Manufacturing
- Budapest, Ungarn
Dauer: 7 Juni 20219 Juni 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.

ASJC Scopus Sachgebiete

Zitieren

Scheduling of Offshore Wind Farm Installation using Simulated Annealing. / Peng, Shengrui; Rippel, Daniel; Becker, Matthias et al.
in: IFAC-PapersOnLine, Jahrgang 54, Nr. 1, 2021, S. 325-330.

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschung

Peng, S, Rippel, D, Becker, M & Szczerbicka-Lipinska, H 2021, 'Scheduling of Offshore Wind Farm Installation using Simulated Annealing', IFAC-PapersOnLine, Jg. 54, Nr. 1, S. 325-330. https://doi.org/10.1016/j.ifacol.2021.08.037, https://doi.org/10.15488/15071
Peng, S., Rippel, D., Becker, M., & Szczerbicka-Lipinska, H. (2021). Scheduling of Offshore Wind Farm Installation using Simulated Annealing. IFAC-PapersOnLine, 54(1), 325-330. https://doi.org/10.1016/j.ifacol.2021.08.037, https://doi.org/10.15488/15071
Peng S, Rippel D, Becker M, Szczerbicka-Lipinska H. Scheduling of Offshore Wind Farm Installation using Simulated Annealing. IFAC-PapersOnLine. 2021;54(1):325-330. Epub 2021 Nov 9. doi: 10.1016/j.ifacol.2021.08.037, 10.15488/15071
Peng, Shengrui ; Rippel, Daniel ; Becker, Matthias et al. / Scheduling of Offshore Wind Farm Installation using Simulated Annealing. in: IFAC-PapersOnLine. 2021 ; Jahrgang 54, Nr. 1. S. 325-330.
Download
@article{940ce37e6c864440906f52a46897e94a,
title = "Scheduling of Offshore Wind Farm Installation using Simulated Annealing",
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",
author = "Shengrui Peng and Daniel Rippel and Matthias Becker and Helena Szczerbicka-Lipinska",
note = "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.; 17th IFAC Symposium on Information Control Problems in Manufacturing<br/> ; Conference date: 07-06-2021 Through 09-06-2021",
year = "2021",
doi = "10.1016/j.ifacol.2021.08.037",
language = "English",
volume = "54",
pages = "325--330",
number = "1",

}

Download

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 -