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Giuseppina Buttitta, University College of Dublin (UCD)
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William Turner, University College of Dublin (UCD)
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Donal Finn, University College of Dublin (UCD)
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Oliver Neu, University College of Dublin (UCD)
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In the residential housing sector, a strong correlation exists between occupant behavior and space heating energy use. In particular, the occupancy scenario (e.g., daytime absence, morning presence, etc.) has a significant influence on residential heating load profiles, as well as on cumulative heating energy consumption. The share of households characterized by different occupancy scenarios is a crucial assumption in order to accurately model the residential building stock heating demand. The choice of the most suitable occupancy model is a trade-off between complexity, accuracy and computational effort, as well as model integration at large scale. This paper analyzes the combined influence of different occupancy assumptions and different occupancy models on the housing heating loads for a UK building stock sample.
