A Forward-Looking Assessment of Robotized Operation and Maintenance Practices for Offshore Wind Farms

被引:0
作者
Vieira, Henrique [1 ]
Castro, Rui [2 ]
机构
[1] Univ Lisbon, Inst Super Tecn, P-1049001 Lisbon, Portugal
[2] Univ Lisbon, IST, INESC ID, P-1049001 Lisbon, Portugal
关键词
offshore wind; human-based O&M; robot-based O&M; simulation tools; maintenance strategies; REMOTE INSPECTION;
D O I
10.3390/en18061508
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Operation and maintenance (O&M) activities represent a significant share of the levelized cost of energy (LCOE) for offshore wind farms (OWFs), making cost reduction a key priority. Robotic-based solutions, leveraging aerial and underwater vehicles in a cooperative framework, offer the potential to optimize O&M logistics and reduce costs. Additionally, the deployment of persistent autonomous robotic systems can minimize the need for human intervention, enhancing efficiency. This study presents the development of an O&M cost calculator that integrates multiple modules: a weather forecast module to account for meteorological uncertainties, a failure module to model OWF failures, a maintenance module to estimate costs for both planned and unplanned activities, and a power module to quantify downtime-related losses. A forward-looking comparative economic analysis is conducted, assessing the cost-effectiveness of human-based versus robot-based inspection, maintenance, and repair (IMR) activities. The findings highlight the economic viability of robotic solutions in offshore wind O&M, supporting their potential role in reducing operational expenditures and improving energy production efficiency.
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页数:25
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