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Layout design of wave energy parks by a genetic algorithm
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
2018 (English)In: Ocean Engineering, ISSN 0029-8018, E-ISSN 1873-5258, Vol. 154, p. 252-261Article in journal (Refereed) Published
Abstract [en]

If wave energy systems are to become a viable option competitive with more mature renewable energy sources, the systems must be optimized with respect to maximal electricity production and minimized costs. The number of parameters involved in large-scale wave energy systems is typically too large for traditional optimization methods to be feasible, and the solution space may contain many local minima. Here, an optimization tool for application in wave energy design based on a genetic algorithm is presented. The internal parameters of single point-absorbing wave energy converters (buoy radius, draft and generator damping) are optimized and the results validated against parameters sweep optimization. Further, since the individual devices in a park affect each other by scattered and radiated waves propagating in all directions, the tool is used to find the optimal spatial layout of parks. Arrays with different number of devices are studied and similar optimal layouts appear in all cases, which allows extrapolation of the results to even larger parks. The results show that the tool is effective in finding layouts that avoid destructive interactions and get a q-factor slightly above 1.

Place, publisher, year, edition, pages
2018. Vol. 154, p. 252-261
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-346695DOI: 10.1016/j.oceaneng.2018.01.096OAI: oai:DiVA.org:uu-346695DiVA, id: diva2:1191862
Available from: 2018-03-20 Created: 2018-03-20 Last updated: 2018-04-04
In thesis
1. Optimization of Point Absorber Wave Energy Parks
Open this publication in new window or tab >>Optimization of Point Absorber Wave Energy Parks
2018 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Renewable energies are believed to play the key role in assuring a future of sustainable energy supply and low carbon emissions. Particularly, this thesis focus on wave energy, which is created by extracting the power stored in the waves of the oceans. In order for wave energy to become a commercialized form of energy, modular deployment of many wave energy converters (WECs) together will be required in the upcoming future. This design will thus allow to benefit, among others, from the modular construction, the shared electrical cables connections and moorings, the reduction in the power fluctuations and reduction of deployment and maintenance costs. When it comes to arrays, the complexity of the design process increase enormously compared with the single WEC, given the mutual influence of most of the design parameters (i.e. hydrodynamic and electrical interactions, dimensions, geometrical layout, wave climate etc.). Uppsala University has developed and tested WECs since 2001, with the first offshore deployment held in 2006. The device is classified as a point absorber and consists in a linear electric generator located on the seabed, driven in the vertical direction by the motion of a floating buoy at the surface. Nowadays, one of the difficulties of the sector is that the cost of electricity is still too high and not competitive, due to high capital and operational costs and low survivability. Therefore, one step to try to reduce these costs is the development of reliable and fast optimization tools for parks of many units. In this thesis, a first attempt of systematic optimization for arrays of the Uppsala University WEC has been proposed. A genetic algorithm (GA) has been used to optimize the geometry of the floater and the damping coefficient of the generator of a single device. Afterwards, the optimal layout of parks up to 14 devices has been studied using two different codes, a continuous and a discrete variables real coded GA. Moreover, the method has been extended to study arrays with devices of different dimensions. A deterministic evaluation of small array layouts in real wave climate has also been carried out. Finally, a physical scale test has been initiated which will allow the validation of the results. A multi--parameter optimization of wave power arrays of the Uppsala University WEC has been shown to be possible and represents a tool that could help to reduce the total cost of electricity, enhance the performance of wave power plants and improve the reliability.

Place, publisher, year, edition, pages
Uppsala: Uppsala University, Department of Engineering Sciences, 2018. p. 59
Series
UURIE / Uppsala University, Department of Engineering Sciences, ISSN 0349-8352 ; 353-18L
Keywords
Wave energy arrays, genetic algorithm, optimization, WEC, hydrodynamic interaction
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Engineering Science
Identifiers
urn:nbn:se:uu:diva-337772 (URN)
Presentation
2018-02-27, 2005 Ångströmlaboratoriet, Lägerhyddsvägen 1, Uppsala, 14:00 (English)
Opponent
Supervisors
Available from: 2018-01-31 Created: 2018-01-08 Last updated: 2018-04-04Bibliographically approved

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