Integration of cost modelling within the micro-siting design optimisation of tidal turbine arrays
Integration of cost modelling within the micro-siting design optimisation of tidal turbine arrays
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DOI：
10.1016/j.renene.2015.06.013
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发表时间：
2016
期刊：
影响因子：
8.7
通讯作者：
D. Culley;S. Funke;S. Kramer;M. Piggott
中科院分区：
文献类型：
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作者：
D. Culley;S. Funke;S. Kramer;M. Piggott
潮汐流涡轮机阵列中各个涡轮机的位置（微选址）可能会对潮汐流涡轮机阵列从水流中提取的功率产生重大影响。由于该行业的起步阶段和资源开发的挑战，实现工业规模潮汐能项目的经济成本很高，应被视为阵列设计的关键驱动因素之一。本文提出了潮汐流涡轮机阵列的自动化设计框架，其中可以对阵列整个生命周期的成本进行建模并考虑作为设计优化过程的一部分。为了演示这种方法，通过实施电缆路由算法以及现有的基于梯度的阵列优化算法来纳入海底电缆的成本。使用三个理想化的测试场景来展示财务回报优化设计方法与功率最大化方法相比的效果。
The location of individual turbines within a tidal current turbine array – micro-siting – can have a significant impact on the power that the array may extract from the flow. Due to the infancy of the industry and the challenges of exploiting the resource, the economic costs of realising industrial scale tidal current energy projects are significant and should be considered as one of the key drivers of array design. This paper proposes a framework for the automated design of tidal current turbine arrays in which costs over the lifespan of the array may be modelled and considered as part of the design optimisation process. To demonstrate this approach, the cost of sub-sea cabling is incorporated by implementing a cable-routing algorithm alongside an existing gradient-based array optimisation algorithm. Three idealised test scenarios are used to demonstrate the effects of a financial-return optimising design approach as contrasted with a power maximisation approach.