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3D layout optimization for large wind farms
Authors: Jagabondhu Hazra; Sathyajith Mathew; Fauzi Zaini; Subhadip Mitra;
Abstract
This paper proposes a novel 3D micro-siting approach for optimal placement of wind turbines in the continuous space of a wind farm. Along with X and Y positions, hub height and rotor radius of each turbine is optimized to maximize the yield of the farm. Such 3D siting not only reduces the land requirement, but also extracts more power from the same site. Proposed 3D siting problem is formulated as a constrained optimization problem and solved by a particle swarm optimization (PSO) algorithm.
Related Organizations
- Universiti Brunei Darussalam Brunei Darussalam
- IBM (United States) United States
- IBM (United States) United States
- IBM (India) India
- Universiti Brunei Darussalam Brunei Darussalam
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).4 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
4
Average
Average
Average