EconPapers    
Economics at your fingertips  
 

Optimized Placement of Onshore Wind Farms Considering Topography

Xiawei Wu, Weihao Hu, Huang Qi, Cong Chen, Zhe Chen and Frede Blaabjerg
Additional contact information
Xiawei Wu: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, No.2006, XiYuan Avenue, Chengdu 611731, China
Weihao Hu: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, No.2006, XiYuan Avenue, Chengdu 611731, China
Cong Chen: Public Health England/Health Data Insight Community Interest Company, Cambridge CB21 5XE, UK
Zhe Chen: Department of Energy Technology, Aalborg University, Pontoppidanstraede 101, DK-9220 Aalborg, Denmark
Frede Blaabjerg: Department of Energy Technology, Aalborg University, Pontoppidanstraede 101, DK-9220 Aalborg, Denmark

Energies, 2019, vol. 12, issue 15, 1-18

Abstract: As the scale of onshore wind farms are increasing, the influence of wake behavior on power production becomes increasingly significant. Wind turbines sittings in onshore wind farms should take terrain into consideration including height change and slope curvature. However, optimized wind turbine (WT) placement for onshore wind farms considering both topographic amplitude and wake interaction is realistic. In this paper, an approach for optimized placement of onshore wind farms considering the topography as well as the wake effect is proposed. Based on minimizing the levelized production cost (LPC), the placement of WTs was optimized considering topography and the effect of this on WTs interactions. The results indicated that the proposed method was effective for finding the optimized layout for uneven onshore wind farms. The optimization method is applicable for optimized placement of onshore wind farms and can be extended to different topographic conditions.

Keywords: optimized placement; onshore wind farm; levelized production cost (LPC); wake effect, topographic heights and slopes; particle swarm optimization (PSO) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/15/2944/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/15/2944/ (text/html)

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:gam:jeners:v:12:y:2019:i:15:p:2944-:d:253420

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2944-:d:253420