Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80283
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dc.contributor.authorKhanali, Men_US
dc.contributor.authorAhmadzadegan, Sen_US
dc.contributor.authorOmid, Men_US
dc.contributor.authorNasab, FKen_US
dc.contributor.authorChau, KWen_US
dc.date.accessioned2019-01-30T09:14:39Z-
dc.date.available2019-01-30T09:14:39Z-
dc.date.issued2018-
dc.identifier.citationInternational journal of energy and environmental engineering, Dec. 2018, v. 9, no. 4, p. 399-411en_US
dc.identifier.issn2008-9163-
dc.identifier.urihttp://hdl.handle.net/10397/80283-
dc.description.abstractInstallation layout of wind turbines plays a prominent role in the design of every wind farm. Thus, the wind farm layout optimization problem is proposed to maximize the total power output with the minimum cost. In this research, Kahrizak region in Tehran province of Iran is selected as a windy region and its real wind speed data are gleaned. Three different scenarios are also considered, with various number of generations and populations for GA parameters, effective distances, and longitude and latitude distances of turbines from each other. Among these scenarios, the best result is obtained for the one in which the longitudinal distance between turbines is greater than the latitudinal distance. By observing the wind rose of Kahrizak region, it is observed that the dominant wind direction of the region is toward the east and south-east. Therefore, by increasing the longitudinal distance of the turbines from each other, the efficiency can be improved and the turbine layout becomes more realistic. In this case, the efficiency rate and normalized cost of turbines are 89.5% and 37.4, respectively, and also 56 turbines are needed. The amounts of efficiency and power output are very convenient for real wind speed data of a region.en_US
dc.description.sponsorshipDepartment of Civil and Environmental Engineeringen_US
dc.language.isoenen_US
dc.publisherSpringerOpenen_US
dc.relation.ispartofInternational journal of energy and environmental engineeringen_US
dc.rights© The Author(s) 2018en_US
dc.rightsOpen Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.en_US
dc.rightsThe following publication Khanali, M., Ahmadzadegan, S., Omid, M., Nasab, F.K., & Chau, K.W. (2018). Optimizing layout of wind farm turbines using genetic algorithms in Tehran province, Iran. International journal of energy and environmental engineering, 9 (4), 399-411 is available at https://dx.doi.org/10.1007/s40095-018-0280-xen_US
dc.subjectWind farm layouten_US
dc.subjectOptimizationen_US
dc.subjectGenetic algorithmen_US
dc.subjectKahrizaken_US
dc.subjectTurbineen_US
dc.titleOptimizing layout of wind farm turbines using genetic algorithms in Tehran province, Iranen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage399-
dc.identifier.epage411-
dc.identifier.volume9-
dc.identifier.issue4-
dc.identifier.doi10.1007/s40095-018-0280-x-
dc.identifier.isiWOS:000449108100003-
dc.description.validate201901 bcrc-
dc.description.oapublished_final-
Appears in Collections:Journal/Magazine Article
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