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Analysis of heat demand and thermal comfort in naturally ventilated single-family houses of various constructions

Ferdyn-Grygierek Joanna, Grygierek Krzysztof, Gumińska Jolanta, Baran Łukasz, Barwa Magdalena, Czerw Kamil, Gowik Paulina, Makselan Klaudia, Potyka Klaudia, Psikuta Agnes

Architecture Civil Engineering Environment

2020

Vol. 13, no. 3

63--71

The aim of the paper was a comparative analysis of energy demand for heating and human thermal comfort of a model singlefamily house with natural ventilation in various construction technologies (wood and brick), located in the Polish temperate climate. The frequency, as well as, the window opening area in the building have been optimized taking into account two objective functions: heating demand and number of thermal discomfort hours. The analyses were based on thermal simulations using the EnergyPlus program on the nine-zone model of the selected house. Each building construction case was calculated for two variants of external partitions insulation. The thermal model, separately for each zone, contained hourly internal heat gain schedules. All simulations were carried out with a 15-minute step for the full calendar year. Analyzes have shown that the heating demand for a building made in wooden technology is higher than a building in brick technology. The wooden building has a greater number of thermal discomfort hours. Increasing the insulation properties of the house increases the number of hours of discomfort.

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

Grygierek Krzysztof, Ferdyn-Grygierek Joanna

Architecture Civil Engineering Environment

2019

Vol. 12, no. 2

81--90

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.