Real-time thermal dynamic analysis of a house using RC models and joint state-parameter estimation

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dc.coverageDOI: 10.1016/j.buildenv.2020.107184
dc.creatorLi, Yong
dc.creatorCastiglione, Juan
dc.creatorAstroza, Rodrigo
dc.creatorChen, Yuxiang
dc.date2021
dc.date.accessioned2025-11-18T19:46:56Z
dc.date.available2025-11-18T19:46:56Z
dc.descriptionTo enable optimal building energy management in response to the ever-changing building and boundary conditions, it is critical to have numerical models that can provide accurate online prediction based on economically measurable inputs and feedback. The present study explores the capabilities of using the unscented Kalman filter (UKF) in combination with resistance-capacitance (RC) models for online estimation of the thermal dynamics of single detached houses. A joint state-parameter UKF estimation approach is applied to estimate unknown state and model parameters by using fictitious process equations to augment the state vector to include model parameters. The performance of this approach is evaluated by comparing the estimated state values to the monitored data. In addition, the prediction capability of the updated model is also investigated. The estimation procedure, mathematical operations, and result analysis are presented in detail. The remarkable model performance achieved shows that the UKF can efficiently improve RC models’ predictability and enable timely online model updating and response prediction.eng
dc.identifierhttps://investigadores.uandes.cl/en/publications/7129fd48-88f3-47c1-8c0b-6c19830f055f
dc.identifier.urihttps://repositorio.uandes.cl/handle/uandes/54784
dc.languageeng
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourcevol.188 (2021) date: 2021-01-15
dc.subjectBuilding thermal dynamics
dc.subjectRC models
dc.subjectReal-time online prediction
dc.subjectState-parameter estimation
dc.subjectUnscented kalman filter
dc.titleReal-time thermal dynamic analysis of a house using RC models and joint state-parameter estimationeng
dc.typeArticleeng
dc.typeArtículospa
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