1. Incorrect U-values
U-values measure heat loss through building components. If they are entered incorrectly, this can lead to overestimated heating loads.
Misclassification of building age can distort automatically assigned U-values.
Retrofitted insulation may not have been considered, affecting the result.
Actual U-values are often better than typological assumptions. You can use detailed construction materials to define more accurate U-values.
2. Incorrect room classification
Misunderstandings about what lies above or below a room (e.g., unheated attic or contact with the ground) can significantly affect the calculated heating load.
Need help handling unheated areas like basements or ground floors? See this article:
Must the unheated basement or ground floor also be recorded as a room?
3. Data entry errors
Incorrect entries in room data — such as dimensions or window areas — can also cause elevated heating load results.
Make sure to review all input values carefully and adjust where necessary to ensure an accurate and realistic heating load calculation.