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Accessing offshore wind turbines for maintenance : calculating access probabilities, expected delays and the associated costs using a probabilistic approach

机译:使用海上风力涡轮机进行维护:使用概率方法计算访问概率,预期延迟和相关成本

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摘要

There are ambitious plans in place for the expansion of offshore wind-power capacity in the EU and elsewhere. However, the cost of energy from offshore wind is much higher than that from land-based generation and anything between 15% and 30% of this cost is attributable to the cost of operation and maintenance (O&M). For exposed UK round three sites these costs could be higher still. The stochastic nature of the occurrence of faults, down-times due to adverse weather and sea-state and the associated losses in energy production, as well as vessel and personnel costs, all add to the potential risk to the finance of an offshore wind farm project. There is a clear need to estimate these effects and the risks associated with them when planning and financing a wind-farm. Key to all such calculations are the restrictions on safe access for maintenance associated with vessels and access methods and the consequent delays caused by adverse sea-state and weather. A computational approach has been developed at University of Strathclyde, based on an event tree and closed-form probabilistic calculations, enabling very fast estimates to be made of offshore access probabilities and expected delays using a simple spreadsheet. Examples are presented for calculations of accessibility. Turbine availability and loss of energy production are calculated based on given turbine component reliability data together with an agreed maintenance scheme. Direct maintenance cost and revenue lost due to down-time can also be calculated with suitable data on the costs of personnel, components, and vessel hire as well as electricity unit and ROC prices, and examples are given. Sensitivities to some of the key parameters are also presented.
机译:欧盟和其他国家已经制定了雄心勃勃的海上风电计划。但是,海上风能产生的能源成本要比陆上发电产生的能源成本高得多,其中15%至30%之间的任何成本都应归因于运营和维护(O&M)成本。对于暴露的英国第三轮站点,这些成本可能还会更高。故障的随机性,由于恶劣的天气和海况导致的停机时间以及相关的能源生产损失以及船舶和人员成本,都增加了海上风电场融资的潜在风险项目。在规划和资助风电场时,显然需要估计这些影响以及与之相关的风险。所有此类计算的关键是对与船舶和通道方法相关的维护安全通道的限制,以及由于不利的海况和天气而导致的延误。斯特拉斯克莱德大学已经开发了一种基于事件树和闭式概率计算的计算方法,从而可以使用简单的电子表格非常快速地估算离岸进入概率和预期的延误。给出了用于计算可访问性的示例。根据给定的涡轮机部件可靠性数据以及商定的维护方案,计算出涡轮机的可用性和能量产生的损失。还可以使用有关人员,组件和船只租赁成本以及电单价和ROC价格的适当数据来计算由于停机造成的直接维护成本和收入损失,并给出示例。还介绍了对某些关键参数的敏感性。

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