{"data":{"id":"10.4121/331f86fe-5acb-4a60-99cd-7f8f0135c200","type":"dois","attributes":{"doi":"10.4121/331f86fe-5acb-4a60-99cd-7f8f0135c200","prefix":"10.4121","suffix":"331f86fe-5acb-4a60-99cd-7f8f0135c200","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Becker, Marcus","nameType":"Personal","givenName":"Marcus","familyName":"Becker","nameIdentifiers":[{"nameIdentifier":"0000-0003-4250-7654","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Lejeune, Maxime","givenName":"Maxime","familyName":"Lejeune","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"OFF framework, code underlying the publication A dynamic open-source model to investigate wake dynamics in response to wind farm flow control strategies"}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2024,"subjects":[{"subject":"Renewable Energy","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"8505"},{"subject":"Energy","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"85"},{"subject":"wind turbine wake model"},{"subject":"dynamic parametric wake model"},{"subject":"surrogate wake model"},{"subject":"wind farm flow control"}],"contributors":[{"name":"TU Delft, Faculty Of Mechanical Engineering, Delft Center For Systems And Control","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2024-12-16","dateType":"Issued"}],"language":"en","types":{"ris":"COMP","bibtex":"misc","citeproc":"article","schemaOrg":"SoftwareSourceCode","resourceType":"Software","resourceTypeGeneral":"Software"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.5194/wes-2024-150","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":"2","rightsList":[{"rights":"GPL-3.0","rightsUri":"https://www.gnu.org/licenses/gpl-3.0.html"}],"descriptions":[{"description":"The OFF toolbox provides one interface to dynamic parametric wake modeling. The goal is to enable testing of different approaches, comparisons using the same interface, and an environment to develop new techniques.\u003cbr\u003eThe OFF toolbox was used to predict the power and energy generated by a wind farm during ~24 hours of wind direction changes, parts of which were validated with LES. 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