@article {23605,
	title = {Integration of cost modelling within the micro-siting design optimisation of tidal turbine arrays},
	journal = {Renewable Energy},
	volume = {85},
	year = {2016},
	month = {01/2016},
	pages = {215-227},
	publisher = {Elsevier},
	abstract = {Abstract The location of individual turbines within a tidal current turbine array {\^a}\&euro;\&ldquo; micro-siting {\^a}\&euro;\&ldquo; 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.},
	keywords = {Financial-return},
	doi = {http://dx.doi.org/10.1016/j.renene.2015.06.013},
	url = {http://www.sciencedirect.com/science/article/pii/S0960148115300379},
	author = {Culley, D.M. and Simon W {Funke} and Kramer, S.C. and Matthew David {Piggott}}
}
