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 editorsWolfmayr, Monika

Parent publicationMathematical Modelling in Real Life Problems : Case Studies from ECMI-Modelling Weeks

Parent publication editorsLindner, Ewald; Micheletti, Alessandra; Nunes, Cláudia

ISBN978-3-030-50387-1

eISBN978-3-030-50388-8

Journal or seriesMathematics in Industry

ISSN1612-3956

eISSN2198-3283

Publication year2020

Number in series33

Pages range87-101

Number of pages in the book165

PublisherSpringer

Place of PublicationCham

Publication countrySwitzerland

Publication languageEnglish

DOIhttps://doi.org/10.1007/978-3-030-50388-8_7

Publication open accessNot 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.


Keywordsmathematical optimisationpartial differential equationsnumerical analysisfinite element methodapplied mathematicsmathematical modelsheating systems

Free keywordsheat equation; PDE-constrained optimization; control constraints; projected gradient method; finite element method; implicit Euler method


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Ministry reportingYes

Reporting Year2020

JUFO rating1


Last updated on 2024-03-04 at 20:26