Abstract
A low energy house situated in Sisimiut, Greenland is used as study object for analysis of dynamic thermal properties of
energy efficient buildings. The building is instrumented with a number of energy meters and thermal sensors, and these
thermal data are logged with fine time intervals. Statistical methods are being developed in a PhD project to derive the
properties to be used in a dynamic thermal model of the whole building. Characteristic of the building is its exposure to the
extreme Arctic climate, which is both very cold and where the sun in some periods may shine constantly, or not at all. The
house is equipped with a weather station measuring temperature, solar radiation, wind speed and direction. The building is
highly energy efficient and its performance has been followed since its inception in 2005. The energy efficiency of the building
is due to good thermal insulation, large energy-efficient windows, and heat recovery. The house is divided into two symmetric
apartments, of which one is inhabited by a family, and the other is used for experiments and demonstration. The situation
provides unique options for measuring and analysis with large signal to noise ratios facilitating observation of thermal
response to external temperatures, solar radiation, wind, user behaviour, and heating.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 5th International Building Physics Conference |
| Number of pages | 7 |
| Publication date | 2012 |
| Publication status | Published - 2012 |
| Event | 5th International Building Physics Conference (IBPC 2012) - Kyoto, Japan Duration: 28 May 2012 → 31 May 2012 Conference number: 5 http://rcpt.kyoto-bauc.or.jp/IBPC2012/ |
Conference
| Conference | 5th International Building Physics Conference (IBPC 2012) |
|---|---|
| Number | 5 |
| Country/Territory | Japan |
| City | Kyoto |
| Period | 28/05/2012 → 31/05/2012 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
Keywords
- Low-energy houses
- Greybox modelling
- Statistical modelling
- Arctic climate
- Heat dynamics
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