A3 Book section, Chapters in research books
Optimal Heating of an Indoor Swimming Pool (2020)
Wolfmayr, M. (2020). Optimal Heating of an Indoor Swimming Pool. In E. Lindner, A. Micheletti, & C. Nunes (Eds.), Mathematical Modelling in Real Life Problems : Case Studies from ECMI-Modelling Weeks (pp. 87-101). Springer. Mathematics in Industry, 33. https://doi.org/10.1007/978-3-030-50388-8_7
JYU authors or editors
Publication details
All authors or editors: Wolfmayr, Monika
Parent publication: Mathematical Modelling in Real Life Problems : Case Studies from ECMI-Modelling Weeks
Parent publication editors: Lindner, Ewald; Micheletti, Alessandra; Nunes, Cláudia
ISBN: 978-3-030-50387-1
eISBN: 978-3-030-50388-8
Journal or series: Mathematics in Industry
ISSN: 1612-3956
eISSN: 2198-3283
Publication year: 2020
Number in series: 33
Pages range: 87-101
Number of pages in the book: 165
Publisher: Springer
Place of Publication: Cham
Publication country: Switzerland
Publication language: English
DOI: https://doi.org/10.1007/978-3-030-50388-8_7
Publication open access: Not open
Publication channel open access:
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/75311
Abstract
This work presents the derivation of a model for the heating process of the air of a glass dome, where an indoor swimming pool is located in the bottom of the dome. The problem can be reduced from a three dimensional to a two dimensional one. The main goal is the formulation of a proper optimization problem for computing the optimal heating of the air after a given time. For that, the model of the heating process as a partial differential equation is formulated as well as the optimization problem subject to the time-dependent partial differential equation. This yields the optimal heating of the air under the glass dome such that the desired temperature distribution is attained after a given time. The discrete formulation of the optimization problem and a proper numerical method for it, the projected gradient method, are discussed. Finally, numerical experiments are presented which show the practical performance of the optimal control problem and its numerical solution method discussed.
Keywords: mathematical optimisation; partial differential equations; numerical analysis; finite element method; applied mathematics; mathematical models; heating systems
Free keywords: heat equation; PDE-constrained optimization; control constraints; projected gradient method; finite element method; implicit Euler method
Contributing organizations
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Ministry reporting: Yes
Reporting Year: 2020
JUFO rating: 1