Wind farm design in complex terrain: the FarmOpt methodology

Ju Feng (Invited author), Wen Zhong Shen (Author), Kurt Schaldemose Hansen (Author), Andrea Vignaroli (Author), Andreas Bechmann (Author), Wei Jun Zhu (Author), Gunner Chr. Larsen (Author), Søren Ott (Author), Morten Nielsen (Author), Madalina Marilena Jogararu (Author), Mikkel Thøgersen (Author), Y. Hu (Author), C. Xu (Author), W. Liu (Author)

Research output: Non-textual formSound/Visual production (digital)Research

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Abstract

Designing wind farms in complex terrain is becoming more and more important, especially for countries like China, where a large portion of the territory is featured as complex terrain. Although potential richer wind resources could be expected at complex terrain sites (thanks to the terrain effects), they also expose many challenges for wind farm designers/developers. In this study, we present the FarmOpt methodology for designing wind farms in complex terrain, which combines the
state-of-the-art wind resource assessment methods with engineering wake models adapted for complex terrain and advanced layout optimization algorithms. Various constraints are also modelled and considered in the design optimization problem for maximizing the annual energy production (AEP). A case study is presented to illustrate the effectiveness of the methodology. Further developments of the FarmOpt tool are also briefly introduced.
Original languageEnglish
Publication date2017
Media of outputPower Point Presentation
Publication statusPublished - 2017
EventChina Wind Power 2017 - China International Exhibition Center (New Venue), Beijing, China
Duration: 17 Oct 201719 Oct 2017

Conference

ConferenceChina Wind Power 2017
LocationChina International Exhibition Center (New Venue)
CountryChina
CityBeijing
Period17/10/201719/10/2017

Cite this

@misc{9699a25144274791b42fe6812d19cea2,
title = "Wind farm design in complex terrain: the FarmOpt methodology",
abstract = "Designing wind farms in complex terrain is becoming more and more important, especially for countries like China, where a large portion of the territory is featured as complex terrain. Although potential richer wind resources could be expected at complex terrain sites (thanks to the terrain effects), they also expose many challenges for wind farm designers/developers. In this study, we present the FarmOpt methodology for designing wind farms in complex terrain, which combines thestate-of-the-art wind resource assessment methods with engineering wake models adapted for complex terrain and advanced layout optimization algorithms. Various constraints are also modelled and considered in the design optimization problem for maximizing the annual energy production (AEP). A case study is presented to illustrate the effectiveness of the methodology. Further developments of the FarmOpt tool are also briefly introduced.",
author = "Ju Feng and Shen, {Wen Zhong} and Hansen, {Kurt Schaldemose} and Andrea Vignaroli and Andreas Bechmann and Zhu, {Wei Jun} and Larsen, {Gunner Chr.} and S{\o}ren Ott and Morten Nielsen and Jogararu, {Madalina Marilena} and Mikkel Th{\o}gersen and Y. Hu and C. Xu and W. Liu",
year = "2017",
language = "English",

}

Feng, J, Shen, WZ, Hansen, KS, Vignaroli, A, Bechmann, A, Zhu, WJ, Larsen, GC, Ott, S, Nielsen, M, Jogararu, MM, Thøgersen, M, Hu, Y, Xu, C & Liu, W, Wind farm design in complex terrain: the FarmOpt methodology, 2017, Sound/Visual production (digital).
Wind farm design in complex terrain: the FarmOpt methodology. Feng, Ju (Invited author); Shen, Wen Zhong (Author); Hansen, Kurt Schaldemose (Author); Vignaroli, Andrea (Author); Bechmann, Andreas (Author); Zhu, Wei Jun (Author); Larsen, Gunner Chr. (Author); Ott, Søren (Author); Nielsen, Morten (Author); Jogararu, Madalina Marilena (Author); Thøgersen, Mikkel (Author); Hu, Y. (Author); Xu, C. (Author); Liu, W. (Author). 2017. Event: China Wind Power 2017, China International Exhibition Center (New Venue), Beijing, China.

Research output: Non-textual formSound/Visual production (digital)Research

TY - ADVS

T1 - Wind farm design in complex terrain: the FarmOpt methodology

AU - Feng, Ju

A2 - Shen, Wen Zhong

A2 - Hansen, Kurt Schaldemose

A2 - Vignaroli, Andrea

A2 - Bechmann, Andreas

A2 - Zhu, Wei Jun

A2 - Larsen, Gunner Chr.

A2 - Ott, Søren

A2 - Nielsen, Morten

A2 - Jogararu, Madalina Marilena

A2 - Thøgersen, Mikkel

A2 - Hu, Y.

A2 - Xu, C.

A2 - Liu, W.

PY - 2017

Y1 - 2017

N2 - Designing wind farms in complex terrain is becoming more and more important, especially for countries like China, where a large portion of the territory is featured as complex terrain. Although potential richer wind resources could be expected at complex terrain sites (thanks to the terrain effects), they also expose many challenges for wind farm designers/developers. In this study, we present the FarmOpt methodology for designing wind farms in complex terrain, which combines thestate-of-the-art wind resource assessment methods with engineering wake models adapted for complex terrain and advanced layout optimization algorithms. Various constraints are also modelled and considered in the design optimization problem for maximizing the annual energy production (AEP). A case study is presented to illustrate the effectiveness of the methodology. Further developments of the FarmOpt tool are also briefly introduced.

AB - Designing wind farms in complex terrain is becoming more and more important, especially for countries like China, where a large portion of the territory is featured as complex terrain. Although potential richer wind resources could be expected at complex terrain sites (thanks to the terrain effects), they also expose many challenges for wind farm designers/developers. In this study, we present the FarmOpt methodology for designing wind farms in complex terrain, which combines thestate-of-the-art wind resource assessment methods with engineering wake models adapted for complex terrain and advanced layout optimization algorithms. Various constraints are also modelled and considered in the design optimization problem for maximizing the annual energy production (AEP). A case study is presented to illustrate the effectiveness of the methodology. Further developments of the FarmOpt tool are also briefly introduced.

M3 - Sound/Visual production (digital)

ER -