Implementation issues in 3D wind flow predictions over complex terrain

Prospathopoulos, J; Voutsinas, SG

dc.contributor.author	Prospathopoulos, J	en
dc.contributor.author	Voutsinas, SG	en
dc.date.accessioned	2014-03-01T01:24:30Z
dc.date.available	2014-03-01T01:24:30Z
dc.date.issued	2006	en
dc.identifier.issn	01996231	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17291
dc.subject	Flow over complex terrain	en
dc.subject	Micro-siting	en
dc.subject	Wind energy	en
dc.subject.other	Boundary conditions	en
dc.subject.other	Computational methods	en
dc.subject.other	Database systems	en
dc.subject.other	Navier Stokes equations	en
dc.subject.other	Reynolds number	en
dc.subject.other	Wind power	en
dc.subject.other	Complex terrain	en
dc.subject.other	Computational grid	en
dc.subject.other	Flow over complex terrain	en
dc.subject.other	Micro-siting	en
dc.subject.other	Aerodynamics	en
dc.title	Implementation issues in 3D wind flow predictions over complex terrain	en
heal.type	journalArticle	en
heal.identifier.primary	10.1115/1.2346702	en
heal.identifier.secondary	http://dx.doi.org/10.1115/1.2346702	en
heal.publicationDate	2006	en
heal.abstract	Practical aspects concerning the use of 3D Navier-Stokes solvers as prediction tools for micro-siting of wind energy installations are considered. Micro-siting is an important issue for a successful application of wind energy in sites of complex terrain. There is a constantly increasing interest in using mean wind flow predictions based on Reynolds averaged Navier-Stokes (RANS) solvers in order to minimize the number of required field measurements. In this connection, certain numerical aspects, such as the extent of the numerical flow domain, the choice of the appropriate inflow boundary conditions, and the grid resolution, can decisively affect the quality of the predictions. In the present paper, these aspects are analyzed with reference to the Askervein hill data base of full scale measurements. The objective of the work is to provide guidelines with respect to the definition of appropriate boundary conditions and the construction of an adequate and effective computational grid when a RANS solver is implemented. In particular, it is concluded that (a) the ground roughness affects the predictions significantly, (b) the computational domain should have an extent permitting the full development of the flow before entering the region of interest, and (c) the quality of the predictions at the local altitude maxima depends on the end density in the main flow direction. Copyright © 2006 by ASME.	en
heal.journalName	Journal of Solar Energy Engineering, Transactions of the ASME	en
dc.identifier.doi	10.1115/1.2346702	en
dc.identifier.volume	128	en
dc.identifier.issue	4	en
dc.identifier.spage	539	en
dc.identifier.epage	553	en