A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Bayesian-Emulator based parameter identification for calibrating energy models for existing buildings
Abstract In this paper, an efficient Bayesian-Emulator approach is developed and applied to identify unknown input parameters for detailed energy models for existing buildings. The new approach improves on the traditional Bayesian approach for parameter identification, characterized by high computing requirements. Specifically, the developed approach utilizes a building energy model emulator to expedite the parameter identification process. Both discrete and continuous building energy model parameters can be identified using the developed Bayesian-Emulator approach. In the paper, the benefits of the developed Bayesian-Emulator parameter identification approach to calibrate whole-building energy models are discussed. Moreover, the proposed approach has been applied to a case study of an existing medium office building using monthly utility data. It is found that the Bayesian-Emulator is capable to calibrate the medium office building energy model in less than 1 minute using a personal computer. The Bayesian-Emulator approach presented in this paper can be an effective framework to automatically calibrate energy models for existing buildings.
Bayesian-Emulator based parameter identification for calibrating energy models for existing buildings
Abstract In this paper, an efficient Bayesian-Emulator approach is developed and applied to identify unknown input parameters for detailed energy models for existing buildings. The new approach improves on the traditional Bayesian approach for parameter identification, characterized by high computing requirements. Specifically, the developed approach utilizes a building energy model emulator to expedite the parameter identification process. Both discrete and continuous building energy model parameters can be identified using the developed Bayesian-Emulator approach. In the paper, the benefits of the developed Bayesian-Emulator parameter identification approach to calibrate whole-building energy models are discussed. Moreover, the proposed approach has been applied to a case study of an existing medium office building using monthly utility data. It is found that the Bayesian-Emulator is capable to calibrate the medium office building energy model in less than 1 minute using a personal computer. The Bayesian-Emulator approach presented in this paper can be an effective framework to automatically calibrate energy models for existing buildings.
Bayesian-Emulator based parameter identification for calibrating energy models for existing buildings
Kang, Yoonsuk (author) / Krarti, Moncef (author)
Building Simulation ; 9 ; 411-428
2016-04-21
18 pages
Article (Journal)
Electronic Resource
English
Pulling the Levers on Existing Buildings: A Simple Method for Calibrating Hourly Energy Models
| British Library Online Contents | 2010
Self‐calibrating Bayesian real‐time system identification
| Wiley | 2019
Dynamic Identification for Existing Buildings
| British Library Conference Proceedings | 1993
Dynamic Identification for Existing Buildings
| TIBKAT | 1993