Investigation of the causes for wind turbine underperformance and increased failure rates

预计未来几年，海上风电将在英国能源结构中占据越来越重要的比例。这对风电场运营商提出了物流挑战，即更大的风电场，更远的海上，这意味着运营和维护成本以及涡轮机可靠性变得越来越重要。与该问题相关的数据可以大致分为四组：状态监测数据、操作数据、船舶和天气数据以及涡轮机属性（例如，阵列中的位置）。该博士学位的目的是调查适合这些类别的因素的相互依赖性，以及这些关系如何影响风电场的可用性和成本。本次调查的结果将为海上风电场更好的O&M实践提出建议

Offshore wind power is expected to make up an increasingly significant proportion of the energy mix in future years within the UK. This presents logistical challenges to wind farm operators in the form of bigger wind farms, further offshore, meaning that operations & maintenance costs and turbine reliability are becoming increasingly significant. Data pertaining to this issue can be roughly categorised into four groups: condition monitoring data, operational data, vessel & weather data and turbine properties (e.g. position in the array). The aim of this PhD is to investigate the inter-dependence of factors that fit into these categories, and how these relationships effect wind farm availability and costs. The outcomes of this investigation will lead to suggestions for better O&M practices for offshore wind farms