Calibration 01: Existing Buildings

Filip Jorissen, Yung Nguyen, Adrian Chong, Yeonsook Heo, Bart Merema
Date of Recording:
Long Description

This is a recording of a Building Simulation 2017 session presentation, held on August 7, 2017. Building Simulation 2017 brought together practitioners and researchers from around the world to share information about the state of the art in simulation tools and applications and to discuss new developments. The conference featured updates and insights regarding new research to improve simulation capabilities for advanced low-energy building systems, case studies from successful projects that demonstrate the key role that simulation plays, and ongoing efforts to enable compliance and building rating software to support radiant and other energy efficient systems.

Session Title: Calibration 01: Existing Buildings

Chair: Nicholas Cardwell


Simulation-Based Occupancy Estimation in Office Buildings Using CO2 Sensors
Filip Jorissen, KU Leuven, Belgium

Proving the High Performance Design of a Campus Dormitory Building – A Case Study on the Complexities of Modeling a Commercially Constructed Mid- and High-rise Multi-family Residential Use
Yung Nguyen, DNV GL, USA

A Comparison of MCMC Algorithms for the Bayesian Calibration of Building Energy Models
Adrian Chong, Carnegie Mellon University, USA

Efficiency and Reliability of Bayesian Calibration of Energy Supply System Models
Yeonsook Heo, University of Cambridge, UK

Calibration of a BES Model of an Educational Building with Demand Controlled Ventilation
Bart Merema, KU Leuven, Belgium

BS2017, building simulation 2017, calibration, CO2 Sensors, Simulation-Based Occupancy Estimation, high performance building design, building energy models, Bayesian Calibration