Journal article
Development of high-fidelity air handling unit fault models for FDD innovation: lessons learned and recommendations
Journal of building performance simulation, v 17(5), pp 615-630
02 Sep 2024
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Interest in automated building analytics, including fault detection and diagnostics has been increasing; however, developers of these solutions have lacked access to ground-truth-validated data across a wide range of weather conditions for algorithm development and performance assessment. This study presents the development, and validation of faulted and fault-free models for air handling units (AHUs) - a common HVAC system design. Detailed models for the single-duct AHU (Modelica) and dual-duct AHU (HVACSIM+) were used to conduct annual simulations, for common sensor, mechanical, and control sequence faults. We report lessons learned during the efforts, including challenges and insights regarding how these simulation models, typically used for design applications, can be purposed to accurately reflect real-world system operational behaviours. Finally, we highlight considerations for researchers and FDD developers who may wish to leverage this dataset to assess the performance of their algorithms, and evolving performance of FDD solutions over time.
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Details
- Title
- Development of high-fidelity air handling unit fault models for FDD innovation: lessons learned and recommendations
- Creators
- Armando Casillas - Lawrence Berkeley National LaboratoryYimin Chen - Lawrence Berkeley Natl Lab, Bldg Technol & Urban Syst Dept, Environm Energy Technol Div, Berkeley, CA 94720 USAJessica Granderson - Lawrence Berkeley National LaboratoryGuanjing Lin - Tsinghua UniversityZhelun Chen - Lawrence Berkeley National LaboratoryJin Wen - Drexel UniversitySen Huang - Oak Ridge National LaboratoryOak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Publication Details
- Journal of building performance simulation, v 17(5), pp 615-630
- Publisher
- Taylor & Francis
- Number of pages
- 16
- Grant note
- Assistant Secretary for Energy Efficiency and Renewable Energy, Building Technologies Office, of the U.S. Department of Energy; United States Department of Energy (DOE) DE-AC02-05CH11231 / Assistant Secretary for Energy Efficiency Building Technologies Office
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:001281597700001
- Scopus ID
- 2-s2.0-85200023546
- Other Identifier
- 991021960643504721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Construction & Building Technology