Conceptual Design Of Wind Farms Through Novel Multi-Objective Swa.pdf
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Conceptual Design Of Wind Farms Through Novel Multi-Objective Swa.pdf
Syracuse UniversitySURFACEDissertations ■ ALLSURFACE42125Conceptual Design of Wind Farms Through Novel Multi-ObjectiveSwarm OptimizationWeiyang TongSy Conceptual Design Of Wind Farms Through Novel Multi-Objective Swa.pdfyracuse UniversityFollow this and additional works at: https://surface.syr.edu/etd Cz Part of the Engineering CommonsRecommended CitationTong. Weiyang, "Conceptual Design of Wind Farms Through Novel Multi-Objective Swarm Optimization" (2015). Dissertations • ALL. 243.https://surface.syr.edu/etd/243T Conceptual Design Of Wind Farms Through Novel Multi-Objective Swa.pdfhis Dissertation is brought to you for free and open access by the SURFACE at SURFACE. It has been accepted for inclusion in Dissertations • ALL by anConceptual Design Of Wind Farms Through Novel Multi-Objective Swa.pdf
authorized administrator of SURFACE. For more information, please contact suríaceíỹsyr edu.A comprehensive sensitivity analysis of the wind farm poweSyracuse UniversitySURFACEDissertations ■ ALLSURFACE42125Conceptual Design of Wind Farms Through Novel Multi-ObjectiveSwarm OptimizationWeiyang TongSy Conceptual Design Of Wind Farms Through Novel Multi-Objective Swa.pdfurbulence on the performance of conventional array layouts and optimized wind farm layouts. For array-like wind farms, the relative importance of each factor was found to vary significantly with the choice of wake models, i.e., appreciable differences in the sensitivity indices (of up to 70%) were o Conceptual Design Of Wind Farms Through Novel Multi-Objective Swa.pdfbserved across the different wake models. In contrast, for optimized wind farm layouts, the choice of wake models was observed to have no significantConceptual Design Of Wind Farms Through Novel Multi-Objective Swa.pdf
impact on the sensitivity indices.The MOWFD methodology is designed to explore the tradeoffs between the concerned performance objectives and simultanSyracuse UniversitySURFACEDissertations ■ ALLSURFACE42125Conceptual Design of Wind Farms Through Novel Multi-ObjectiveSwarm OptimizationWeiyang TongSy Conceptual Design Of Wind Farms Through Novel Multi-Objective Swa.pdfs (e.g., fixed wind farm boundaries and number of turbines), thereby allowing a more flexible exploration of the feasible layout solutions than is passible with other existing WFLO methodologies. In addition, a novel parameterization of the Pareto is performed to quantitatively explore how the best Conceptual Design Of Wind Farms Through Novel Multi-Objective Swa.pdftradeoffs between energy production and land usage vary with the installed capacity decisions. The key to the various complex MO-WFLOs performed hereConceptual Design Of Wind Farms Through Novel Multi-Objective Swa.pdf
is the unique set of capabilities offered by the new Multi-Objective Mixed-Discrete Particle Swarm Optimization (MO-MDPSO) algorithm, developed, testeSyracuse UniversitySURFACEDissertations ■ ALLSURFACE42125Conceptual Design of Wind Farms Through Novel Multi-ObjectiveSwarm OptimizationWeiyang TongSy Conceptual Design Of Wind Farms Through Novel Multi-Objective Swa.pdfhly nonlinear objectives, constraints, high design space dimensionality, and a mixture of continuous and discrete design variables. Prior to applying MO-MDPSO to effectively solve complex WFLO problems, this new algorithm was tested on a large and diverse suite of popular benchmark problems; the con Conceptual Design Of Wind Farms Through Novel Multi-Objective Swa.pdfvergence and Pareto cov-cragc offered by this .algorithm was found to be competitive with some of the most popular MOO algorithms (e.g., GAs). The uniConceptual Design Of Wind Farms Through Novel Multi-Objective Swa.pdf
que potential of the MO-MDPSO algorithm is further established through application to the following complex practical engineering problems: (I) a discSyracuse UniversitySURFACEDissertations ■ ALLSURFACE42125Conceptual Design of Wind Farms Through Novel Multi-ObjectiveSwarm OptimizationWeiyang TongSy Conceptual Design Of Wind Farms Through Novel Multi-Objective Swa.pdf of turbine typos, and the site orientation, and (III) simultaneously minimizing land usage and maximizing capacity factors under varying land plot availability.CONCEPTUAL DESIGN OF WIND FARMS THROUGH NOVEL MULTI-OBJECTIVE SWARM OPTIMIZATIONByWeiyang TongB.E.. Beihang University, 2005M.S., Beihang U Conceptual Design Of Wind Farms Through Novel Multi-Objective Swa.pdfniversity, 2009M.S.. Syracuse University, 2011DissertationSubmitted in Partial Fulfillment of the Requirements for the Degree of Doctor of PhilosophyConceptual Design Of Wind Farms Through Novel Multi-Objective Swa.pdf
in Mechanical Engineering in the Graduate School of Syracuse UniversitySyracuse University Syracuse, New York May. 2015© Copyright 2015byWeiyang TongASyracuse UniversitySURFACEDissertations ■ ALLSURFACE42125Conceptual Design of Wind Farms Through Novel Multi-ObjectiveSwarm OptimizationWeiyang TongSySyracuse UniversitySURFACEDissertations ■ ALLSURFACE42125Conceptual Design of Wind Farms Through Novel Multi-ObjectiveSwarm OptimizationWeiyang TongSyGọi ngay
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