Reducing variability in the cost of energy of ocean energy arrays

RENEWABLE & SUSTAINABLE ENERGY REVIEWS

卷:112

Article

Topper, Mathew B. R.¹  Nava, Vincenzo^2,3  Collin, Adam J.⁴  Bould, David⁵  Ferri, Francesco⁶  Olson, Sterling S.⁷  Dallman, Ann R.⁷  Roberts, Jesse D.⁷  Ruiz-Minguela, Pablo²  Jeffrey, Henry F.⁵ 

[1] Data Only Greater, Maynooth, Kildare, Ireland

[2] Tecnalia Res & Innovat, Energy & Environm Div, Derio, Spain

[3] BCAM, Bilbao, Spain

[4] Univ Campania Luigi Vanvitelli, Aversa, CE, Italy

[5] Univ Edinburgh, Inst Energy Syst, Edinburgh, Midlothian, Scotland

[6] Aalborg Univ, Dept Civil Engn, Aalborg, Denmark

[7] Sandia Natl Labs, POB 5800, Albuquerque, NM 87185 USA

关键词: Financial;    Variability;    Energy;    Ocean;    Wave;    Tidal;    Arrays;   

DOI  :  10.1016/j.rser.2019.05.032

来源: Elsevier

【 摘 要 】

Variability in the predicted cost of energy of an ocean energy converter array is more substantial than for other forms of energy generation, due to the combined stochastic action of weather conditions and failures. If the variability is great enough, then this may influence future financial decisions. This paper provides the unique contribution of quantifying variability in the predicted cost of energy and introduces a framework for investigating reduction of variability through investment in components. Following review of existing methodologies for parametric analysis of ocean energy array design, the development of the DTOcean software tool is presented. DTOcean can quantify variability by simulating the design, deployment and operation of arrays with higher complexity than previous models, designing sub-systems at component level. A case study of a theoretical floating wave energy converter array is used to demonstrate that the variability in levelised cost of energy (LCOE) can be greatest for the smallest arrays and that investment in improved component reliability can reduce both the variability and most likely value of LCOE. A hypothetical study of improved electrical cables and connectors shows reductions in LCOE up to 2.51% and reductions in the variability of LCOE of over 50%; these minima occur for different combinations of components.

【 授权许可】

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