TY - GEN
T1 - Geometrical approach for wind farm symmetrical layout design optimization
AU - Al-Yahyai, Sultan
AU - Charabi, Yassine
AU - Gastli, Adel
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/3/12
Y1 - 2015/3/12
N2 - Wind farm layout orientation plays an important factor to reduce the total wake loss and hence increase the capacity factor of the wind farm. Different wind farms layout design optimization techniques are widely used and classified into five different types including, Pattern Search Algorithm (PSAs), Gradient Search Algorithms (GSAs), Greedy Heuristic Algorithms (GHAs), Simulated Annealing Algorithms (SAAs), and Genetic Algorithms (GAs). The quality of the optimized solution depends on the complexity of the used algorithm. This paper proposes a simple geometrical approach which can be easily used by designers in setting their initial layout which will save significant computational time during the design optimization process. It considers symmetrical wind farm layouts which satisfy visual environmental constraints. The proposed approach shows that the optimum wind farm layout is displaced around 18o from the predominant wind median axis. Validation of the proposed approach is also presented for three sites in the Sultanate of Oman using the European computer program 'Wind Atlas Analysis and Application Program (WAsP)'.
AB - Wind farm layout orientation plays an important factor to reduce the total wake loss and hence increase the capacity factor of the wind farm. Different wind farms layout design optimization techniques are widely used and classified into five different types including, Pattern Search Algorithm (PSAs), Gradient Search Algorithms (GSAs), Greedy Heuristic Algorithms (GHAs), Simulated Annealing Algorithms (SAAs), and Genetic Algorithms (GAs). The quality of the optimized solution depends on the complexity of the used algorithm. This paper proposes a simple geometrical approach which can be easily used by designers in setting their initial layout which will save significant computational time during the design optimization process. It considers symmetrical wind farm layouts which satisfy visual environmental constraints. The proposed approach shows that the optimum wind farm layout is displaced around 18o from the predominant wind median axis. Validation of the proposed approach is also presented for three sites in the Sultanate of Oman using the European computer program 'Wind Atlas Analysis and Application Program (WAsP)'.
KW - Oman
KW - WAsP
KW - Wind Farm
KW - layout
KW - optimization
KW - turbine
UR - http://www.scopus.com/inward/record.url?scp=84929094906&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84929094906&partnerID=8YFLogxK
U2 - 10.1109/IEEEGCC.2015.7060014
DO - 10.1109/IEEEGCC.2015.7060014
M3 - Conference contribution
AN - SCOPUS:84929094906
T3 - 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
BT - 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
Y2 - 1 February 2015 through 4 February 2015
ER -