Conference proceeding
BUILDING ENERGY CONSUMPTION ON-LINE FORECASTING USING SYSTEM IDENTIFICATION AND DATA FUSION
7TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2014, VOL 1, v 1, V001T07A002
01 Jan 2014
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Model based control has been proven to have significant building energy saving potentials through operation optimization. Accurate and computationally efficient, and cost-effective building energy model are essential for model based control. Existing studies in this area have mostly been focusing on reducing computation burden using simplified physics based modeling approach. However, creating and identification the simplified physics based model is often challenging and requires significant engineering efforts. Therefore, this study proposes a novel methodology to develop building energy estimation models for on-line building control and optimization using an integrated system identification and data fusion approach. System identification model has been developed based on frequency domain spectral density analysis. Eigensystem realization algorithm is used to generate the state space model from the Markov parameters. Kalman filter based data fusion technique has also been implemented to improve the accuracy and robustness of the model by incorporating with real measurements. A systematic analysis of system structure, system excitation selection as well as data fusion implementation is also demonstrated. The developed strategies are evaluated using a simulated testing building (simulated in EnergyPlus environment). The overall building energy estimation accuracy from this proposed model can reach to above 95% within 2 minutes calculation time, when compared against detailed physics based simulation results from the EnergyPlus model.
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Details
- Title
- BUILDING ENERGY CONSUMPTION ON-LINE FORECASTING USING SYSTEM IDENTIFICATION AND DATA FUSION
- Creators
- Xiwang Li - Drexel UniversityJin Wen - Drexel UniversityASME
- Publication Details
- 7TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2014, VOL 1, v 1, V001T07A002
- Conference
- 7TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2014, 7th
- Publisher
- Amer Soc Mechanical Engineers
- Number of pages
- 10
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000361166500034
- Scopus ID
- 2-s2.0-84929379091
- Other Identifier
- 991019170466404721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Automation & Control Systems
- Engineering, Mechanical
- Operations Research & Management Science