Journal article
Development and Validation of Online Parameter Estimation for HVAC Systems
Journal of solar energy engineering, v 125(3), pp 324-330
01 Aug 2003
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Improving the energy efficiency of buildings by examining their heating, ventilating, and air-conditioning (HVAC) systems represents an opportunity. To improve energy efficiency, to increase occupant comfort, and to provide better system operation and control algorithms for these systems, online estimation of system parameters, including system thermophysical parameters and thermal loads, is desirable. Several reported studies have presented simulation results and assumed that the thermal loads are known. A difficulty in HVAC system parameter estimation is that most HVAC systems are nonlinear, have multiple and time varying parameters, and require an estimate of the thermal loads for a building zone. In this study, building zones and variable-air-volume units are modeled. The system parameters including the thermal loads are estimated using the recursive-least-squares method with a variable forgetting factor. The sensitivity of the estimation results to different factors is examined. The estimated parameters are used to predict the zone and variable-air-volume-discharge-air temperatures. Several experiments are used to validate the prediction results. The comparisons show good agreement between the experiments and the prediction results.
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Details
- Title
- Development and Validation of Online Parameter Estimation for HVAC Systems
- Creators
- Jin Wen - Department of Mechanical and Industrial Engineering, University of Iowa, Iowa City, IA 52242Theodore F Smith - Department of Mechanical and Industrial Engineering, University of Iowa, Iowa City, IA 52242
- Publication Details
- Journal of solar energy engineering, v 125(3), pp 324-330
- Publisher
- ASME
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000184907300013
- Other Identifier
- 991014878472104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Energy & Fuels
- Engineering, Mechanical