Effect of applied weather data sets in simulation of building energy demands: Comparison of design years with recent weather data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F19%3A00324725" target="_blank" >RIV/68407700:21110/19:00324725 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1016/j.rser.2018.10.022" target="_blank" >https://doi.org/10.1016/j.rser.2018.10.022</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.rser.2018.10.022" target="_blank" >10.1016/j.rser.2018.10.022</a>

Result language

angličtina

Original language name

Effect of applied weather data sets in simulation of building energy demands: Comparison of design years with recent weather data

Original language description

Building energy demands in long-term studies are mostly calculated using the averaged weather data sets, reflecting the changes in environmental conditions over time, thus the different energy consumption each year. This paper reviews and discusses the coupled effects of warming trend in global mean surface temperatures, application of different design weather datasets, and utilization of different methods of building energy assessment on the calculated energy demands. The possible inaccuracies of building energy analyses caused by those three factors are investigated on the example of a residential house in Central Europe. For that purpose eight different weather data sets for Prague, Czech Republic are selected and simulations in two different scales are performed. The analysis of the effect of recent weather data is performed by an improved methodology. First, the simulation brings an increased precision as an advanced hygrothermal model is used for energy calculations. Second, the building performance is assessed, contrary to the Czech national standards, using both heating and cooling energy demands. The simulation results confirm the warming trend in the time period of 2013–2017 as the average heating demands are 3.95% lower and the average cooling demands 3.96% higher in a comparison with the Test Reference Year. In the extreme years, a 12–15% decrease of energy consumed for heating and up to 20% increase of energy necessary for cooling is found. This is in accordance with the presumed warming trend that has been widely discussed during the last few decades. Furthermore, the presented results verify the critical and positive design weather years as suitable for application in the simulation of heating and cooling energy demands in the Czech Republic.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20501 - Materials engineering

Project

<a href="/en/project/GBP105%2F12%2FG059" target="_blank" >GBP105/12/G059: Cumulative time dependent processes in building materials and structures</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Renewable and Sustainable Energy Reviews

ISSN

1364-0321

e-ISSN

—

Volume of the periodical

100

Issue of the periodical within the volume

February

Country of publishing house

GB - UNITED KINGDOM

Number of pages

11

Pages from-to

22-32

UT code for WoS article

000451051000003

EID of the result in the Scopus database

2-s2.0-85055662318