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contributor authorChowdhury, Souma
contributor authorZhang, Jie
contributor authorTong, Weiyang
contributor authorMessac, Achille
date accessioned2017-05-09T01:07:00Z
date available2017-05-09T01:07:00Z
date issued2014
identifier issn0195-0738
identifier otherjert_136_01_011203.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/154514
description abstractDuring wind farm planning, the farm layout or turbine arrangement is generally optimized to minimize the wake losses, and thereby maximize the energy production. However, the scope of layout design itself depends on the specified farm landshape, where the latter is conventionally not considered a part of the wind farm decisionmaking process. Instead, a presumed landshape is generally used during the layout design process, likely leading to suboptimal wind farm planning. In this paper, we develop a novel framework to explore how the farm landshape influences the output potential of a site, under a given wind resource variation. Farm landshapes are defined in terms of their aspect ratio and directional orientation, assuming a rectangular configuration. Simultaneous optimizations of the turbine selection and placement are performed to maximize the energy production capacity, for a set of sample landshapes with fixed land area. The maximum farm capacity factor or farm output potential is then represented as a function of the land aspect ratio and land orientation, using quadratic and Kriging response surfaces. This framework is applied to design a 25 MW wind farm at a North Dakota site that experiences multiple dominant wind directions. An appreciable 5% difference in capacity factor is observed between the best and the worst sample farm landshapes at this wind site. It is observed that among the 50 sample landshapes, higher energy production is accomplished by the farm lands that have aspect ratios significantly greater than one, and are oriented lengthwise roughly along the dominant wind direction axis. Subsequent optimization of the landshape using the Kriging response surface further corroborates this observation.
publisherThe American Society of Mechanical Engineers (ASME)
titleModeling the Influence of Land Shape on the Energy Production Potential of a Wind Farm Site
typeJournal Paper
journal volume136
journal issue1
journal titleJournal of Energy Resources Technology
identifier doi10.1115/1.4026201
journal fristpage11203
journal lastpage11203
identifier eissn1528-8994
treeJournal of Energy Resources Technology:;2014:;volume( 136 ):;issue: 001
contenttypeFulltext


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