Journal article
Development and validation of online models with parameter estimation for a building zone with VAV system
Energy and buildings, v 39(1), pp 13-22
2007
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The energy consumption by building heating, ventilating, and air conditioning (HVAC) systems has evoked increasing attention to promote energy efficient control and operation of HVAC systems. Application of advanced control and operation strategies requires robust online system models. In this study, online models with parameter estimation for a building zone with a variable air volume system, which is one of the most common HVAC systems, are developed and validated using experimental data. Building zone temperature and zone entering air flow are modeled based on physical rules and only the measurements that are commonly available in a commercial building are used. Various validation experiments were performed using a real-building test facility to examine the prediction accuracies for system outputs. Using the online system models with parameter estimation, the prediction errors for all validation experiments are less than 0.28
°C for temperature outputs, and less than 84.9
m
3/h for air flow outputs. The online models can be further used for local and supervisory control, as well as fault detection applications.
Metrics
Details
- Title
- Development and validation of online models with parameter estimation for a building zone with VAV system
- Creators
- Jin Wen - Department of Civil, Architectural and Environmental Engineering, Drexel University, Philadelphia, PA 19104, United StatesTheodore F Smith - Department of Mechanical and Industrial Engineering, The University of Iowa, Iowa City, IA 52242, United States
- Publication Details
- Energy and buildings, v 39(1), pp 13-22
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000243247300002
- Scopus ID
- 2-s2.0-37849185806
- Other Identifier
- 991014878306504721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Construction & Building Technology
- Energy & Fuels
- Engineering, Civil