Multi-variable optimization models for building envelope design using EnergyPlus simulation and metaheuristic algorithms

• Autorzy: Grygierek Krzysztof , Ferdyn-Grygierek Joanna

Identyfikatory

DOI

10.21307/ACEE-2019-025

• Języki publikacji: EN

Abstrakty

EN

The paper presents the method of optimal design of the building envelope. The influence of four types of windows, their size, building orientation, insulation of external walls, ceiling to unheated attic and ground floor on the life cycle costs in a singlefamily building in Polish climate conditions is analyzed. The optimization procedure is developed by means of the coupling between MATLAB and EnergyPlus. The results using three metaheuristic methods: genetic algorithms, particle swarm optimization, and algorithm based on teaching and learning are compared. The analyses have shown the possibility of reducing the life cycle costs through the optimal selection of the building structure. The high initial investment (above the required standard) pays off in the long run when using a building.

Słowa kluczowe

EN

genetic algorithm; particle swarm optimization; teaching-learning-based optimization; energy consumption; building simulation; building envelope

PL

algorytm genetyczny; optymalizacja rojem cząstek; zużycie energii; symulacja budynku; przegroda zewnętrzna; optymalizacja typu nauczanie-uczenie

• Wydawca: Silesian University of Technology
• Czasopismo: Architecture Civil Engineering Environment
• Rocznik: 2019
• Tom: Vol. 12, no. 2
• Strony: 81--90
• Opis fizyczny: Bibliogr. 51 poz.

Twórcy

autor

Grygierek Krzysztof

• PhD; Faculty of Civil Engineering, The Silesian University of Technology, Akademicka 5, 44-100 Gliwice, Poland

autor

Ferdyn-Grygierek Joanna

• PhD, DSc; Faculty of Energy and Environmental Engineering, The Silesian University of Technology, Konarskiego 18, 44-100 Gliwice, Poland

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Uwagi

PL

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