<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Phenomenon of today′s era is lowering overall energy performance and greenhouse gas emissions. European Union and its members came from an “uncontrollable” fossil fuel usage to an era of dependence reduction from fossil fuel usage. EU industry is now in era of utilizing renewable energy sources. Construction industry is responsible for 40% of total energy performance of EU; hence the great emphasis on energy effective design on new buildings as well as importance on energy effective renovation of already constructed buildings. Effort on lowering total energy performance in construction industry has signed on research on new project solutions, new insulation materials and new building services technologies which are maximizing energy gain from renewable energy sources. Simulation software and different engines are more than helpful tool when predicting building thermal behaviour. That is why simulation software is used more often in the process of designing energy efficient buildings or in the process of energy performance optimization of existing buildings. simulation and analytics itself, is dealing with simulation of chosen buildings (family houses) on heating demand based on the newest knowledge of constructions and materials. Results of heating demands of different family houses were confronted against heating demands calculated according national standards – using non-variable conditions. Next, the differences between two calculation approaches were characterized in percentages.</p></abstract>

Phenomenon of today′s era is lowering overall energy performance and greenhouse gas emissions. European Union and its members came from an “uncontrollable” fossil fuel usage to an era of dependence reduction from fossil fuel usage. EU industry is now in era of utilizing renewable energy sources. Construction industry is responsible for 40% of total energy performance of EU; hence the great emphasis on energy effective design on new buildings as well as importance on energy effective renovation of already constructed buildings. Effort on lowering total energy performance in construction industry has signed on research on new project solutions, new insulation materials and new building services technologies which are maximizing energy gain from renewable energy sources. Simulation software and different engines are more than helpful tool when predicting building thermal behaviour. That is why simulation software is used more often in the process of designing energy efficient buildings or in the process of energy performance optimization of existing buildings. simulation and analytics itself, is dealing with simulation of chosen buildings (family houses) on heating demand based on the newest knowledge of constructions and materials. Results of heating demands of different family houses were confronted against heating demands calculated according national standards – using non-variable conditions. Next, the differences between two calculation approaches were characterized in percentages.

Assessment of two different methods of calculating a heating demand

Selected Scientific Papers - Journal of Civil Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Assessment of two different methods of calculating a heating demand"}

Phenomenon of today′s era is lowering overall energy performance and greenhouse gas emissions. European Union and its members came from an “uncontrollable”...

Assessment of two different methods of calculating a heating demand

Online veröffentlicht: 30. Apr. 2020

Seitenbereich: 51 - 60

DOI: https://doi.org/10.1515/sspjce-2019-0017

Schlüsselwörter
heating demand, simulation software, family house

© 2019 Peter Turcsányi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Assessment of two different methods of calculating a heating demand

Online veröffentlicht: 30. Apr. 2020

Seitenbereich: 51 - 60

DOI: https://doi.org/10.1515/sspjce-2019-0017

Schlüsselwörterheating demand, simulation software, family house

© 2019 Peter Turcsányi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
heating demand, simulation software, family house