A Self-Adaptive Search Space Reduction Approach for Offshore Wind Farm Installation using Multi-Installation Vessels

verfasst von

Shengrui Peng, Helena Szczerbicka

Abstract

As an important part of renewable energy resources, offshore wind energy has great potential compared to its onshore counterpart despite the vast developments in recent decades. However, due to the more complex environmental condition and physical restrictions the installation of an offshore wind farm is hard to plan and predict, which often results in delays. This paper focuses on the scheduling problem in the installation phase of an offshore wind farm. We propose an adaptive search strategy based on the Apriori property and information entropy. The purpose is to prune the search space effectively and intelligently to realize an agile and swift rescheduling according to the environmental changes. For the numerical experiments, we use the environmental data obtained from the German North Sea from the year 1958 to 2007 in hourly resolution.

Organisationseinheit(en)

Forschungszentrum L3S

Typ

Aufsatz in Konferenzband

Seiten

760-771

Anzahl der Seiten

12

Publikationsdatum

2022

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Software, Modellierung und Simulation, Angewandte Informatik

Ziele für nachhaltige Entwicklung

SDG 7 – Erschwingliche und saubere Energie

Elektronische Version(en)

https://doi.org/10.1109/WSC57314.2022.10015459 (Zugang: Geschlossen)