Research on the Resource-Allocation-Optimization Strategy for Offshore Wind Power Construction Considering Complex Influencing Factors

Ning Wu, Rongrong He, Chunwei Jin, Yuan Xu (), Guobing Pan and Lianzhen Qi
Additional contact information
Ning Wu: PowerChina Huadong Engineering Corp., Ltd., Hangzhou 311122, China
Rongrong He: PowerChina Huadong Engineering Corp., Ltd., Hangzhou 311122, China
Chunwei Jin: PowerChina Huadong Engineering Corp., Ltd., Hangzhou 311122, China
Yuan Xu: The Institute of Distributed Energy and Microgrid, Zhejiang University of Technology, Hangzhou 310013, China
Guobing Pan: The Institute of Distributed Energy and Microgrid, Zhejiang University of Technology, Hangzhou 310013, China
Lianzhen Qi: The Institute of Distributed Energy and Microgrid, Zhejiang University of Technology, Hangzhou 310013, China

Energies, 2024, vol. 17, issue 23, 1-9

Abstract: The construction process of offshore wind farms involves multiple complexities, which is very complex to be scheduled manually, and the coordinating and optimized scheduling not only decreases project construction costs but also increases the construction speed. The impact of meteorological conditions on offshore wind power construction has been considered, and optimizing resource-allocation strategies under complex influencing factors has been analyzed. Then, a comprehensive strategy optimization index system is developed, which includes key indicators, such as the minimum working hours, resource-allocation-optimization rate, window period utilization rate, and cost–benefit ratio. Additionally, an offshore wind power resource-allocation-optimization model is formulated based on discrete event simulation (DES). A statistical analysis of each optimization index was performed using this model to assess the impact of resource-allocation strategies. The simulation results demonstrate that the model can not only simulate the construction process of offshore wind farms and monitor the state of wind turbines, personnel, and meteorological conditions in real time but also accurately calculate key indicators, such as the minimum working hours, resource-allocation-optimization rate, window period utilization rate, and cost–benefit ratio. This strategy effectively enhances resource-allocation efficiency during the wind farm installation phase and improves the overall construction process efficiency.

Keywords: offshore wind power; influential factors; resource allocation; strategy optimization; discrete event simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/23/6006/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/23/6006/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:23:p:6006-:d:1532283

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().