dc.contributor.author Haugland, Jan Kristian eng dc.date.accessioned 2012-07-23T10:16:57Z dc.date.available 2012-07-23T10:16:57Z dc.date.issued 2012-05-24 eng dc.date.submitted 2012-05-24 eng dc.identifier.uri https://hdl.handle.net/1956/5882 dc.description.abstract The topic of this thesis is wind farm optimization. The goal is to be able to decide where to install wind turbines within a given region in order to maximize the power output in two different scenarios: For a fixed number of turbines with free placement, and for a limited number of possible locations and a variable number of turbines with a fixed cost associated with the installation of each turbine that is subtracted from the power output. These are referred to as "Problem 1" and "Problem 2". First, we develop a new, simple wake model. It is based on a model that was described by Katic et. al. in 1986, and then we make some improvements based on the authors' own comments and data. This is then further developed into complete mathematical models for Problem 1 and Problem 2. We consider a few heuristic methods for carrying out the optimization, including one that we have not seen in the literature. These are tried out on simple test cases. Finally, we try out exact optimization on two simple cases, and try out the heuristic methods on a larger sample of cases. We conclude that the new wake model, combined with the method that displays the best performance in the experiments, appears to be a useful tool in designing wind farms. en_US dc.format.extent 667333 bytes eng dc.format.mimetype application/pdf eng dc.language.iso eng eng dc.publisher The University of Bergen en_US dc.subject wind farms eng dc.subject Optimization eng dc.subject wake model eng dc.subject operations research eng dc.title Optimization Models for Turbine Location in Wind Farms en_US dc.type Master thesis dc.description.degree Master i Informatikk en_US dc.description.localcode MAMN-INF dc.description.localcode INF399 dc.subject.nus 754199 eng dc.subject.nsi VDP::Mathematics and natural science: 400::Information and communication science: 420 en_US dc.subject.nsi VDP::Technology: 500 en_US fs.subjectcode INF399
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