A global trend in increasing wind turbine size and distances from shore is emerging within the rapidly growing offshore wind farm market. In the UK, the offshore wind sector produced its highest amount of electricity in the UK in 2019, a 19.6% increase on the year before. Currently, the UK is set to increase production further, targeting a 74.7% increase of installed turbine capacity as reflected in recent Crown Estate leasing rounds. With such tremendous growth, the sector is now looking to Robotics and Artificial Intelligence (RAI) in order to tackle lifecycle service barriers as to support sustainable and profitable offshore wind energy production. Today, RAI applications are predominately being used to support short term objectives in operation and maintenance. However, moving forward, RAI has the potential to play a critical role throughout the full lifecycle of offshore wind infrastructure, from surveying, planning, design, logistics, operational support, training and decommissioning. This paper presents one of the first systematic reviews of RAI for the offshore renewable energy sector. The state-of-the-art in RAI is analyzed with respect to offshore energy requirements, from both industry and academia, in terms of current and future requirements. Our review also includes a detailed evaluation of investment, regulation and skills development required to support the adoption of RAI. The key trends identified through a detailed analysis of patent and academic publication databases provide insights to barriers such as certification of autonomous platforms for safety compliance and reliability, the need for digital architectures for scalability in autonomous fleets, adaptive mission planning for resilient resident operations and optimization of human machine interaction for trusted partnerships between people and autonomous assistants.
翻译:在快速增长的近海风力农场市场中,全球风轮机规模和离岸距离增加的趋势正在出现;在英国,离岸风力部门在2019年生产电力量最高,比前一年增加了19.6%;目前,联合王国准备进一步增加发电量,目标是将安装的涡轮机容量增加74.7%,这反映在最近的皇家地产租赁回合中;随着这种巨大的增长,该部门现在正在寻找机器人和人工智能(RAI),以解决生命周期服务障碍,支持可持续和盈利的离岸风能生产;今天,RAI应用程序主要用于支持英国短期的运营和维护目标;然而,向前发展,RAI有潜力在离岸风基础设施的整个生命周期中发挥关键作用,从调查、规划、设计、后勤、业务支助、培训和退役,目标是将安装已安装的涡轮涡轮机容量能力增加74.7%;随着这种巨大的增长,这个部门正在寻找机器人和人工智能智能情报(RAI)的首次系统审查,以便解决生命周期服务障碍,从而支持可持续和盈利的离岸能源生产需求;从工业和学术界,在目前和将来的可操作性业务上,主要利用RA型业务和将来的可操作性业务上,为AIAAA公司提供详细的标准化的稳定性分析,对AAAAAA的标准化结构进行详细的评估,并进行详细的评估。