Validation Of Wind Turbine Model Software Simulation Using Real Time Windspeed Measurements
dc.authorscopusid | 12143771400 | |
dc.authorscopusid | 58903591200 | |
dc.authorscopusid | 7005815612 | |
dc.authorscopusid | 8928109200 | |
dc.authorscopusid | 21834871200 | |
dc.authorscopusid | 26665865200 | |
dc.contributor.author | Ceylan, Oğuzhan | |
dc.contributor.author | Shiacallis,S. | |
dc.contributor.author | Christofides,N. | |
dc.contributor.author | Papadakis,A. | |
dc.contributor.author | Papadopoulos,T. | |
dc.contributor.author | Ceylan,O. | |
dc.date.accessioned | 2024-06-23T21:39:21Z | |
dc.date.available | 2024-06-23T21:39:21Z | |
dc.date.issued | 2023 | |
dc.department | Kadir Has University | en_US |
dc.department-temp | Polycarpou A., Frederick University, Frederick Research Center, Department of Electrical, Computer Engineering and Informatics, Nicosia, Cyprus; Shiacallis S., T.P. Aeolian Dynamics Ltd, Cyprus; Christofides N., Frederick University, Frederick Research Center, Department of Electrical, Computer Engineering and Informatics, Nicosia, Cyprus; Papadakis A., Kyamos Multiphysics, Nicosia, Cyprus; Papadopoulos T., Democritus University of Thrace, Electrical and Computer Engineering Department, Greece; Ceylan O., Kadir Has University, Deparment of Management Information Systems, Istanbul, Turkey | en_US |
dc.description.abstract | Based on the achievements regarding the 2020 targets, the Renewable Energy Directive established a new, higher target for 2030, reflecting a significant increase of interest for renewable energy sources (RES). As a result, various new software simulation packages, featuring models of RES, have been developed and being used in academia as well as in industry for research, educational or training purposes. In this paper Wind turbine (WT) characteristics and wind speed data obtained from a commissioned wind farm in Cyprus are used to implement a simulation model in two different software programs featuring RES simulation capabilities. Power System Computer Aided Design (PSCAD) is used to investigate the electrical power output of a WT model, and KYAMOS software is used to investigate the modelling of the blades, the resulting primary torque and the resulting rotor rotational speed. The investigation result novelty is the establishment of the ability of the proposed, under development, software program to satisfy the three required characteristics. Therefore, Deviation from measured values of the turbine characteristics is observed for both programs, user interface and blade modelling, and the potential of integrating results of one software into the other is investigated. © 2023 IEEE. | en_US |
dc.description.sponsorship | Research and Innovation Foundation, RIF, (CODEVELOPGT/0322/0081); Research and Innovation Foundation, RIF | en_US |
dc.identifier.citation | 0 | |
dc.identifier.doi | 10.1109/ELECO60389.2023.10415948 | |
dc.identifier.isbn | 979-835036049-3 | |
dc.identifier.scopus | 2-s2.0-85185843897 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.uri | https://doi.org/10.1109/ELECO60389.2023.10415948 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12469/5860 | |
dc.identifier.wosquality | N/A | |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | 14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings -- 14th International Conference on Electrical and Electronics Engineering, ELECO 2023 -- 30 November 2023 through 2 December 2023 -- Virtual, Bursa -- 197135 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | [No Keyword Available] | en_US |
dc.title | Validation Of Wind Turbine Model Software Simulation Using Real Time Windspeed Measurements | en_US |
dc.type | Conference Object | en_US |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | b80c3194-906c-4e78-a54c-e3cd1effc970 | |
relation.isAuthorOfPublication.latestForDiscovery | b80c3194-906c-4e78-a54c-e3cd1effc970 |