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Abstract
Competition within the energy generation industry provides an incentive for developers to build offshore wind farms with a low levelised cost of energy. Therefore, there is a need for design optimisation to reduce costs and increase energy capture. A sequential approach to optimise turbine placement and cable layout is presented, using a heuristic k-opt algorithm and mixed-integer linear programming respectively. Energy storage is considered as a means to further improve the cable selection process. A case study is carried out on the Lillgrund offshore wind farm and the resulting layout improves energy capture by 6%. Cable costs are increased but the electrical losses are reduced such that there is an overall saving over the project lifetime of 20%. Energy storage as a means to peak shave the power seen by a cable in order to reduce electrical losses or de-rate a cable section was found to be impractically large and not profitable.
Future work will consider secondary revenue streams to remedy this.
Future work will consider secondary revenue streams to remedy this.
Original language | English |
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Article number | 012024 |
Number of pages | 10 |
Journal | Journal of Physics: Conference Series |
Volume | 1669 |
DOIs | |
Publication status | Published - 26 Oct 2020 |
Keywords
- wind energy
- offshore wind farms
- optimisation
- energy storage
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Dive into the research topics of 'Sequential heuristic optimisation of a real offshore wind farm site considering turbine placement and cable layout'. Together they form a unique fingerprint.Projects
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EPSRC Centre for Doctoral Training in Wind & Marine Energy Systems | Taylor, Peter
Anaya-Lara, O., Campos-Gaona, D. & Taylor, P.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/17 → 1/10/21
Project: Research Studentship - Internally Allocated