Integration of cost modelling within the micro-siting design optimisation of tidal turbine arrays

RENEWABLE ENERGY

卷:85

Article

Culley, D. M.¹  Funke, S. W.^1,2  Kramer, S. C.¹  Piggott, M. D.^1,3 

[1] Univ London Imperial Coll Sci Technol & Med, Dept Earth Sci & Engn, Appl Modelling & Computat Grp, London, England

[2] Simula Res Lab, Ctr Biomed Comp, Oslo, Norway

[3] Univ London Imperial Coll Sci Technol & Med, Grantham Inst Climate Change, London, England

关键词: Marine renewable energy;    Tidal turbines;    Gradient-based optimisation;    Adjoint method;    Shallow water equations;    Array layout;    Cable-routing;    Financial-return;   

DOI  :  10.1016/j.renene.2015.06.013

来源: Elsevier

【 摘 要 】

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. (C) 2015 The Authors. Published by Elsevier Ltd.

【 授权许可】

Free