This thesis is conducted within the project of categorizing the building stock in Sweden, which is a part of the research program Spara and bevara initiated by the Swedish Energy Agency. Categorizing the building stock is done to find typical buildings of which to analyze for energy efficiency measures. The purpose of this thesis is to evaluate the performance of energy signatures calculated with different time steps and methods in order to find out how energy signatures can be used as a supplement to the categorization and to compare the energy use in buildings to their Energy Performance Certificate (energideklaration). The certificates are found in the database GRIPEN, provided by the National Board of Housing, Building and Planning (Boverket). The results show that an energy signature with time resolution of hours or days can be used for an accurate prediction of the energy use in a building. With larger time steps the accuracy is reduced. The prediction of the buildings use of domestic hot water is scattered and need to be compared to measured values for a better result. When the energy use (corrected for climate) is compared to the Energy Performance of a building there is a large difference, at the most 26 %, with the conclusion that the corrected energy use has to be calculated over a couple of years for a good estimation. Furthermore the results show that grouping measured energy use in even intervals of temperature is better when the specific energy loss of the building is to be predicted. The coefficient of determination (R2) can be used to detect an abnormal energy use in a building. When equivalent temperature (Te) is used the value of R2 increases. Further studies are required to determine whether effects of solar radiation and wind on the building can be predicted from the value of R2 for different temperature sets.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-349366 |
| Date | January 2018 |
| Creators | Wahlqvist, Max |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | UPTEC ES, 1650-8300 ; 18 014 |
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