A simulation exercise to improve building energy performance characterization via on-board monitoring

Abstract Both a well-designed on-board monitoring campaign and an adequate data-driven statistical modeling method are required to accurately characterize the building’s overall heat transfer coefficient (HTC). In this paper, we reflect on the latter by means of a theoretical deduction of the heat balance equation and case studies on simulation data. We demonstrate the impact of using air temperatures as a proxy for equivalent temperatures and neglecting the intercept when characterizing the HTC using a linear regression method on measurement data.