Temporal Resolution of Measurements and the Effects on Calibrating Building Energy Models

TL;DR

This paper investigates how different temporal resolutions of measurement data affect the calibration accuracy of building energy models, highlighting that some energy components are more sensitive to data resolution than others.

Contribution

It systematically compares calibration outcomes across eight temporal resolutions, revealing the varying impacts on model accuracy for different energy use types.

Findings

Electricity and hot water consumption calibration are highly sensitive to temporal resolution.

Heating and cooling energy calibration are less affected by data temporal resolution.

Optimal temporal resolution depends on the specific energy component being modeled.

Abstract

With the recent interest in installing building energy management systems, the availability of data enables calibration of building energy models. This study compares calibration on eight different temporal resolutions and contrasts the benefits and drawbacks of each. While calibrating heating and cooling energy consumption shows less sensitivity to the temporal resolution, the accuracy of electricity energy consumption and domestic hot water greatly varies depending on the temporal resolution.