Thermal-electrical analogy in dynamic simulations of buildings: comparison of four numerical solution methods

Michalak, Piotr

doi:10.30464/jmee.2020.4.2.179

Artykuł - szczegóły

Tytuł artykułu

Thermal-electrical analogy in dynamic simulations of buildings: comparison of four numerical solution methods

Autorzy

Michalak Piotr

Treść / Zawartość

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Identyfikatory

DOI

10.30464/jmee.2020.4.2.179

Warianty tytułu

Języki publikacji

Abstrakty

The lumped capacitance method is widely used in dynamic modelling of buildings. Models differ in complexity, solution methods and ability to simulate transient behaviour of described objects. The paper presents a mathematical description of a simple 1R1C thermal network model of a building zone. Four numerical methods were applied to solve differential equation describing its dynamics. For validation purposes two test cases (600 and 900) from the BESTEST procedure were used. In both cases detailed results were given. Better ability of the simulation model to reproduce transient behaviour of the modelled buildings was noticed in case of the lightweight object (case 600). Annual heating and cooling demand was within the reference range for heavyweight one (case 900). The kind of the computation method had no significant effect on simulation results.

Słowa kluczowe

thermal-electrical analogy RC network lumped capacitance BESTEST Euler method Heun's method

analogia termiczno-elektryczna sieć RC pojemność BESTEST metoda Eulera metoda Heuna

Wydawca

Wydawnictwo Uczelniane Politechniki Koszalińskiej

Czasopismo

Journal of Mechanical and Energy Engineering

Rocznik

2020

Tom

Vol. 4, No 2

Strony

179--188

Opis fizyczny

Bibliogr. 70 poz., rys., tab., wykr.

Twórcy

autor

Michalak Piotr

pmichal@agh.edu.pl

Faculty of Mechanical Engineering and Robotics, Department of Power Systems and Environmental Protection Facilities, AGH University of Science and Technology, Mickiewicza 30, 30-059 Kraków, Poland

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).

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