Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the 2019 Winter Simulation Conference, WSC 2019 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 1719-1730 |
| Seitenumfang | 12 |
| ISBN (elektronisch) | 978-1-7281-3283-9 |
| ISBN (Print) | 978-1-7281-2052-2 |
| Publikationsstatus | Veröffentlicht - Dez. 2019 |
| Veranstaltung | 2019 Winter Simulation Conference, WSC 2019 - National Harbor, USA / Vereinigte Staaten Dauer: 8 Dez. 2019 → 11 Dez. 2019 |
Publikationsreihe
| Name | Proceedings - Winter Simulation Conference |
|---|---|
| Band | 2019-December |
| ISSN (Print) | 0891-7736 |
| ISSN (elektronisch) | 1558-4305 |
Abstract
Wind energy is a promising technology to cover the world's need for sustainable energy production. Nevertheless, the construction of offshore wind farms imposes particular challenges. While about 15% to 20% of the costs for offshore wind farms can be attributed to logistics during the construction, highly dynamic weather conditions render accurate planning difficult. This article presents an approach for the installation planning, which uses the model predictive control scheme to combine short-term control with model-based simulations. The latter is used to optimize over mid- to long-term plans. Besides, the article presents a new approach to incorporate the uncertainties of weather predictions into the operations planning by estimating the expected duration of offshore operations. Results show increased efficiency of generated plans with growing planning horizons, limited by the accuracy of weather forecasts.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Software
- Mathematik (insg.)
- Modellierung und Simulation
- Informatik (insg.)
- Angewandte Informatik
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- Vancouver
- BibTex
- RIS
Proceedings of the 2019 Winter Simulation Conference, WSC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. S. 1719-1730 9004824 (Proceedings - Winter Simulation Conference; Band 2019-December).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Simulation and Optimization of Operations for Offshore Installations Planning Using a Model Predictive Control Scheme
AU - Rippel, Daniel
AU - Jathe, Nicolas
AU - Lütjen, Michael
AU - Szczerbicka-Lipinska, Helena
AU - Freitag, Michael
N1 - Funding information: The authors gratefully acknowledge the financial support by the DFG (German Research Foundation) for the Project ”OffshorePlan”, grant number LU 2049/1-1.
PY - 2019/12
Y1 - 2019/12
N2 - Wind energy is a promising technology to cover the world's need for sustainable energy production. Nevertheless, the construction of offshore wind farms imposes particular challenges. While about 15% to 20% of the costs for offshore wind farms can be attributed to logistics during the construction, highly dynamic weather conditions render accurate planning difficult. This article presents an approach for the installation planning, which uses the model predictive control scheme to combine short-term control with model-based simulations. The latter is used to optimize over mid- to long-term plans. Besides, the article presents a new approach to incorporate the uncertainties of weather predictions into the operations planning by estimating the expected duration of offshore operations. Results show increased efficiency of generated plans with growing planning horizons, limited by the accuracy of weather forecasts.
AB - Wind energy is a promising technology to cover the world's need for sustainable energy production. Nevertheless, the construction of offshore wind farms imposes particular challenges. While about 15% to 20% of the costs for offshore wind farms can be attributed to logistics during the construction, highly dynamic weather conditions render accurate planning difficult. This article presents an approach for the installation planning, which uses the model predictive control scheme to combine short-term control with model-based simulations. The latter is used to optimize over mid- to long-term plans. Besides, the article presents a new approach to incorporate the uncertainties of weather predictions into the operations planning by estimating the expected duration of offshore operations. Results show increased efficiency of generated plans with growing planning horizons, limited by the accuracy of weather forecasts.
UR - http://www.scopus.com/inward/record.url?scp=85076461877&partnerID=8YFLogxK
U2 - 10.1109/WSC40007.2019.9004824
DO - 10.1109/WSC40007.2019.9004824
M3 - Conference contribution
AN - SCOPUS:85076461877
SN - 978-1-7281-2052-2
T3 - Proceedings - Winter Simulation Conference
SP - 1719
EP - 1730
BT - Proceedings of the 2019 Winter Simulation Conference, WSC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 Winter Simulation Conference, WSC 2019
Y2 - 8 December 2019 through 11 December 2019
ER -