Assessing the energy benefit of using a wind turbine micro-siting model
Leandro Parada,
Carlos Herrera,
Paulo Flores and
Victor Parada
Renewable Energy, 2018, vol. 118, issue C, 591-601
Abstract:
Wind farm layouts are often designed based on simple rules that give rise to regular arrays. Several studies have stated that these arrays may not be efficient due to high wake losses for some wind directions. Recently, wind turbine micro-siting models have been compared with respect to regularly arrayed layouts. However, these studies have considered just a single regular layout configuration and a fixed number of turbines. In this paper, an approach is proposed to design highly efficient wind farms and is further compared to different configurations of regularly arrayed layouts considering different spacings and number of wind turbines. The proposed approach maximizes the power of a wind farm and efficiently incorporates the use of irregular terrain boundaries and real wind data. The proposed approach is first compared to the Horns Rev I layout. Subsequently, the proposed approach is further compared to different regular layout configurations using wind data measured at a site located in Northern Chile. The results suggest that regularly arrayed wind farms are sub-optimal and may be subjected to high wake losses, particularly for some wind directions. With the proposed approach, 4.09% and 2.18% higher efficiencies on average were obtained compared to aligned and staggered layouts, respectively.
Keywords: Micro-siting; Wind farm; Layout optimization; Wind turbine; Genetic algorithm (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148117311199
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:118:y:2018:i:c:p:591-601
DOI: 10.1016/j.renene.2017.11.018
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().