Energy distributions estimation using stochastic finite element
Skender Osmani
Renewable Energy, 2002, vol. 25, issue 4, 525-536
Abstract:
In this paper two problems are treated: (1) estimation of the mean value of a random function Z(x), defined in a stochastic finite element (SFE) v, zv=1/v∫vZ(x)dx, where the distributions of Z(x) at each node are known; and (2) Kriking solution with SFE under the non-stationary hypothesis: E(Z(x))=m(x), C(x,h)=E{Z(x+h)Z(x)}−m(x+h)m(x). Several temperature distribution results are presented using a plane SFE. Finally, the conclusions are given underlining SFE applications in energy, hydrology, geology etc., generally in whatever disciplines the distributions are used.
Date: 2002
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148101000842
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:25:y:2002:i:4:p:525-536
DOI: 10.1016/S0960-1481(01)00084-2
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().