An advanced modeling system for optimization of wind farm layout and wind turbine sizing using a multi-level extended pattern search algorithm

DuPont, Bryony; Cagan, Jonathan; Moriarty, Patrick

doi:10.1016/j.energy.2015.12.033

Title: An advanced modeling system for optimization of wind farm layout and wind turbine sizing using a multi-level extended pattern search algorithm

Journal Article · 01 July 2016 · Energy

DOI: https://doi.org/10.1016/j.energy.2015.12.033 · OSTI ID:1323954

DuPont, Bryony; Cagan, Jonathan; Moriarty, Patrick

View Accepted Manuscript (Publisher)

Cite

Export

Save

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1323954

Journal Information:: Energy, Journal Name: Energy Vol. 106 Journal Issue: C; ISSN 0360-5442

Publisher:: ElsevierCopyright Statement

Country of Publication:: United Kingdom

Language:: English

Citation Metrics:

Cited by: 53 works

Citation information provided by
Web of Science

References (23)

Optimization of wind turbine positioning in large windfarms by means of a genetic algorithm Mosetti, G.; Poloni, C.; Diviacco, B. Journal of Wind Engineering and Industrial Aerodynamics, Vol. 51, Issue 1 https://doi.org/10.1016/0167-6105(94)90080-9	journal	January 1994
Placement of wind turbines using genetic algorithms Grady, S. A.; Hussaini, M. Y.; Abdullah, M. M. Renewable Energy, Vol. 30, Issue 2 https://doi.org/10.1016/j.renene.2004.05.007	journal	February 2005
Interagent ties in team-based computational configuration design Olson, Jesse T.; Cagan, Jonathan Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Vol. 18, Issue 2 https://doi.org/10.1017/S0890060404040107	journal	May 2004
Wind turbines type and number choice using combinatorial optimization Mustakerov, Ivan; Borissova, Daniela Renewable Energy, Vol. 35, Issue 9 https://doi.org/10.1016/j.renene.2009.12.012	journal	September 2010
Assessing atmospheric stability and its impacts on rotor-disk wind characteristics at an onshore wind farm Wharton, Sonia; Lundquist, Julie K. Wind Energy, Vol. 15, Issue 4, p. 525-546 https://doi.org/10.1002/we.483	journal	July 2011
A-Design: An Agent-Based Approach to Conceptual Design in a Dynamic Environment Campbell, Matthew I.; Cagan, Jonathan; Kotovsky, Kenneth Research in Engineering Design, Vol. 11, Issue 3 https://doi.org/10.1007/s001630050013	journal	October 1999
Heuristic methods for wind energy conversion system positioning Aytun Ozturk, U.; Norman, Bryan A. Electric Power Systems Research, Vol. 70, Issue 3 https://doi.org/10.1016/j.epsr.2003.12.006	journal	August 2004
Optimal positioning of wind turbines on Gökçeada using multi-objective genetic algorithm Şişbot, Sedat; Turgut, Özgü; Tunç, Murat Wind Energy, Vol. 13, Issue 4 https://doi.org/10.1002/we.339	journal	May 2010
Asynchronous Teams: Cooperation Schemes for Autonomous Agents Talukdar, Sarosh; Baerentzen, Lars; Gove, Andrew Journal of Heuristics, Vol. 4, Issue 4, p. 295-321 https://doi.org/10.1023/A:1009669824615	journal	January 1998
A theoretical variation of the wind profile power-law exponent as a function of surface roughness and stability Irwin, John S. Atmospheric Environment (1967), Vol. 13, Issue 1 https://doi.org/10.1016/0004-6981(79)90260-9	journal	January 1979
Optimizing the arrangement and the selection of turbines for wind farms subject to varying wind conditions Chowdhury, Souma; Zhang, Jie; Messac, Achille Renewable Energy, Vol. 52 https://doi.org/10.1016/j.renene.2012.10.017	journal	April 2013
Design of wind farm layout for maximum wind energy capture Kusiak, Andrew; Song, Zhe Renewable Energy, Vol. 35, Issue 3, p. 685-694 https://doi.org/10.1016/j.renene.2009.08.019	journal	March 2010
New approach on optimization in placement of wind turbines within wind farm by genetic algorithms Emami, Alireza; Noghreh, Pirooz Renewable Energy, Vol. 35, Issue 7 https://doi.org/10.1016/j.renene.2009.11.026	journal	July 2010
Seeding evolutionary algorithms with heuristics for optimal wind turbines positioning in wind farms Saavedra-Moreno, B.; Salcedo-Sanz, S.; Paniagua-Tineo, A. Renewable Energy, Vol. 36, Issue 11 https://doi.org/10.1016/j.renene.2011.04.018	journal	November 2011
Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation Chowdhury, Souma; Zhang, Jie; Messac, Achille Renewable Energy, Vol. 38, Issue 1, p. 16-30 https://doi.org/10.1016/j.renene.2011.06.033	journal	February 2012
An Extended Pattern Search Algorithm for Three-Dimensional Component Layout Yin, Su; Cagan, Jonathan Journal of Mechanical Design, Vol. 122, Issue 1 https://doi.org/10.1115/1.533550	journal	January 2000
Wind turbulence and atmospheric stability — Their effect on wind turbine output Rohatgi, Janardan; Barbezier, Gil Renewable Energy, Vol. 16, Issue 1-4 https://doi.org/10.1016/S0960-1481(98)00308-5	journal	January 1999
Redefinition power curve for more accurate performance assessment of wind farms Frandsen, S.; Antoniou, I.; Hansen, J. C. Wind Energy, Vol. 3, Issue 2 https://doi.org/10.1002/1099-1824(200004/06)3:2<81::AID-WE31>3.0.CO;2-4	journal	April 2000
Influence of Atmospheric Stability on Wind Turbine Power Performance Curves Sumner, Jonathon; Masson, Christian Journal of Solar Energy Engineering, Vol. 128, Issue 4 https://doi.org/10.1115/1.2347714	journal	February 2006
Software agents: an overview Nwana, Hyacinth S. The Knowledge Engineering Review, Vol. 11, Issue 3 https://doi.org/10.1017/S026988890000789X	journal	September 1996
Dependence of the exponent in power law wind profiles on stability and height interval Hanafusa, Tatsuo; Lee, Chong Bum; Lo, Aloysius K. Atmospheric Environment (1967), Vol. 20, Issue 10 https://doi.org/10.1016/0004-6981(86)90348-3	journal	January 1986
Optimization of wind farm turbines layout using an evolutive algorithm González, Javier Serrano; Gonzalez Rodriguez, Angel G.; Mora, José Castro Renewable Energy, Vol. 35, Issue 8, p. 1671-1681 https://doi.org/10.1016/j.renene.2010.01.010	journal	August 2010
Fatigue loads for wind turbines operating in wakes Thomsen, Kenneth; Sørensen, Poul Journal of Wind Engineering and Industrial Aerodynamics, Vol. 80, Issue 1-2 https://doi.org/10.1016/S0167-6105(98)00194-9	journal	March 1999

Similar Records

Advanced Modeling System for Optimization of Wind Farm Layout and Wind Turbine Sizing Using a Multi-Level Extended Pattern Search Algorithm

Journal Article · 2016 · Energy (Oxford) · OSTI ID:1257333

DuPont, Bryony; Cagan, Jonathan; Moriarty, Patrick

Optimization of Wind Farm Layout and Wind Turbine Geometry Using a Multi-Level Extended Pattern Search Algorithm that Accounts for Variation in Wind Shear Profile Shape

Conference · 2012 · OSTI ID:1111563

DuPont, B. L.; Cagan, J.; Moriarty, P.

Best Practices for Wake Model and Optimization Algorithm Selection in Wind Farm Layout Optimization: Preprint

Conference · 2019 · OSTI ID:1513186

Baker, Nicholas F; Stanley, Andrew PJ; Thomas, Jared J; +2 more

Title: An advanced modeling system for optimization of wind farm layout and wind turbine sizing using a multi-level extended pattern search algorithm

Citation Formats

References (23)

Similar Records

Related Subjects