Households’ heating energy consumption is one of the most important sources of a nation's total CO₂ emissions. But there remains uncertainty about the impact of occupant behaviour on heating energy consumption, especially in multi-apartment buildings. In bringing together apartment specific data of occupant behaviour and physical building properties of multi-apartment buildings, the quantitative influence of different factors determining household heating energy consumption can be separated by means of OLS-regression. For multi-apartment buildings the heating energy consumption of a single household seems to be determined not only by the behaviour of households in opening windows and using radiators but also by internal heat transfers, triggered by temperature differences between neighbouring flats. This study shows some limits of refurbishment policies and consumer education and points to the importance of considering both data on occupant behaviour and building physics at the household level together to understand household heating energy consumption.

家庭的供暖能源消耗是一个国家总二氧化碳₂的最重要来源之一排放。但是，关于乘员行为对供暖能耗的影响仍存在不确定性，尤其是在多公寓建筑中。通过将多户住宅的居住者行为和建筑物的物理特性的特定数据汇总在一起，可以通过OLS回归来分离决定家庭供暖能耗的不同因素的定量影响。对于多公寓建筑，单个家庭的供暖能耗似乎不仅取决于家庭在打开的窗户和使用散热器的行为，还取决于相邻单元之间的温差触发的内部传热。