Title:	Operation assessment of cogeneration power plant by thermodynamic model
Authors:	Hromádka, Aleš Jiřičková, Jana Martínek, Zbyněk Sirový, Martin
Citation:	CIMRMAN, R., LUKEŠ, V., ROHAN, E. Multiscale finite element calculations in Python using SfePy. Advances in Computational Mathematics, 2019, roč. 45, č. 4, s. 1897-1921. ISSN 1019-7168.
Issue Date:	2019
Document type:	článek article
URI:	2-s2.0-85065995512 http://hdl.handle.net/11025/35860
Keywords in different language:	cogeneration power plant;backpressure turbine;thermodynamic model;Dymola software;Clara+ library
Abstract in different language:	SfePy (simple finite elements in Python) is a software for solving various kinds of problems described by partial differential equations in one, two, or three spatial dimensions by the finite element method. Its source code is mostly (85%) Python and relies on fast vectorized operations provided by the NumPy package. For a particular problem, two interfaces can be used: a declarative application programming interface (API), where problem description/definition files (Python modules) are used to define a calculation, and an imperative API, that can be used for interactive commands, or in scripts and libraries. After outlining the SfePy package development, the paper introduces its implementation, structure, and general features. The components for defining a partial differential equation are described using an example of a simple heat conduction problem. Specifically, the declarative API of SfePy is presented in the example. To illustrate one of SfePy’s main assets, the framework for implementing complex multiscale models based on the theory of homogenization, an example of a two-scale piezoelastic model is presented, showing both the mathematical description of the problem and the corresponding code.
Rights:	Plný text není přístupný.
Appears in Collections:	Články / Articles (MLT) Články / Articles (NTIS) OBD

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.