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  • 1.
    Holmén, Malin
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology.
    Härdelin, Sofia
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology.
    Energikartläggning av förskolor - en fallstudie2015Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    This study was performed in order to evaluate the difference in energy performance between two buildings, Temmelburken 1 and Temmelburken 2, by comparing the measured and the expected values calculated during the planning process. The two buildings were built after almost the same blueprints with the exception that the floor plan was mirrored from one another. In this study, energy measurements have been done and with these measurements as foundation, the energy demand was calculated. After this, a sensitivity analysis of the input parameters has been carried out.

    The result of the energy calculations were that the specific energy usage of the buildings were; 129,2 kWh/m2 and year for Temmelburken 1 and 111,0 kWh/m2 and year for Temmelburken 2. The expected energy performance of Temmelburken 1 and Temmelburken 2 were 94,36 kWh/m2 and year and 89,69 kWh/m2 and year, respectively. The major difference between the expected energy usage and the measured was for the domestic hot water, where the real value was over 300 percent more. The heating demand for the ventilation system showed the lowest difference compared to the values assumed during the planning, and were 17 percent higher for Temmelburken 1 and 21 percent higher for Temmelburken 2. Whereas the energy demand for the radiator systems were calculated to values 100 and 46 percent higher for Temmelburken 1 and Temmelburken 2, respectively. The study also showed that the radiator system’s energy demand was where the two building significantly differed.

    The sensitivity analysis of the simulation model concluded that the indoor dry bulb temperature and the climate file made the greatest difference in the result. When increasing or lowering the indoor dry bulb temperature with one degree, the total energy demand increased or lowered by 5.3 percent respectively. When another climate file was used, the total energy demand increased with 6.8 percent.

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