Calibration of building energy models for retrofit analysis under uncertainty

▸ We present a scalable methodology to support large scale investments under uncertainty. ▸ The methodology is based on Bayesian calibration of normative energy models. ▸ We demonstrate that calibrated normative models can correctly evaluate energy retrofit options. ▸ We demonstrate that the methodology can support risk-conscious decision-making.