E3S Web Conf.
Volume 22, 2017International Conference on Advances in Energy Systems and Environmental Engineering (ASEE17)
|Number of page(s)||8|
|Published online||07 November 2017|
Analysis of the impact of simulation model simplifications on the quality of low-energy buildings simulation results
Wroclaw University of Science and Technology, Faculty of Environmental Engineering, ul. C.K. Norwida 4/6, 50–373 Wroclaw, Poland
2 University of Zielona Góra, Faculty of Mathematics, Computer Science and Econometrics, ul. Prof. Z. Szafrana 15, 65–516 Zielona Góra, Poland
2 University of Zielona Góra, Faculty of Civil Engineering, Architecture and Environmental Engineering, ul. Prof. Z. Szafrana 15, 65–516 Zielona Góra, Poland
* Corresponding author: email@example.com
The requirements concerning energy performance of buildings and their internal installations, particularly HVAC systems, have been growing continuously in Poland and all over the world. The existing, traditional calculation methods following from the static heat exchange model are frequently not sufficient for a reasonable heating design of a building. Both in Poland and elsewhere in the world, methods and software are employed which allow a detailed simulation of the heating and moisture conditions in a building, and also an analysis of the performance of HVAC systems within a building. However, these systems are usually difficult in use and complex. In addition, the development of a simulation model that is sufficiently adequate to the real building requires considerable time involvement of a designer, is time–consuming and laborious. A simplification of the simulation model of a building renders it possible to reduce the costs of computer simulations. The paper analyses in detail the effect of introducing a number of different variants of the simulation model developed in Design Builder on the quality of final results obtained. The objective of this analysis is to find simplifications which allow obtaining simulation results which have an acceptable level of deviations from the detailed model, thus facilitating a quick energy performance analysis of a given building.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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