Abstract
The calibration of dynamic building simulation is an
often essential but challenging process. There are approaches
to formulate it mathematically as the minimization
of a discrepancy function between simulation
and measurements. In these approaches, the discrepancy
is usually defined based on the mean square
error (MSE) between vectors of simulated and measured
quantities. The MSE metric reflects the area
between the corresponding curves, without accounting
for the similarity of curve shapes. Thus, it may
overestimate the discrepancy of quantities subject to
strong variations, especially in the case of on/off behavior
with hysteresis and phase shifts. The aim of
this contribution is to investigate whether the MSE
still represents an effective metric in such cases, and
to examine the usefulness of an alternative metric.
This alternative metric is based on dynamic time
warping (DTW), which allows similar features to be
matched with some distortion on the time axis. The
question is elaborated with the example of a waterto-
water heat pump, which may cycle on and off at
a subhourly frequency. Eight calibration experiments
are carried out, differing in model adequacy, time resolution
and discrepancy definition. Results show the
inability of MSE to assess model quality when applied
to high-frequency measurements. In comparison, it
can be argued that the alternative metric based on
DTW better reflects model quality.
Originalsprache | Englisch |
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Titel | Proceedings of Building Simulation 2019: 16th Conference of IBPSA |
Publikationsstatus | Veröffentlicht - 2019 |
Veranstaltung | Building Simulation 2019 - Dauer: 2 Sept. 2019 → 4 Sept. 2019 |
Konferenz
Konferenz | Building Simulation 2019 |
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Zeitraum | 2/09/19 → 4/09/19 |
Research Field
- Ehemaliges Research Field - Digitalisation and HVAC Technologies in Buildings