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Sustainability 2017, 9(10), 1868; doi:10.3390/su9101868

Application of Kalman Filter for Estimating a Process Disturbance in a Building Space

1
Korea Institute of Civil Engineering and Building Technology, Goyang-si, Gyeonggi 10205, Korea
2
School of Civil, Architectural Engineering and Landscape Architecture, Sungkyunkwan University, Suwon, Gyeonggi 16419, Korea
*
Author to whom correspondence should be addressed.
Received: 17 July 2017 / Revised: 23 September 2017 / Accepted: 16 October 2017 / Published: 18 October 2017
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Abstract

This paper addresses an application of the Kalman filter for estimating a time-varying process disturbance in a building space. The process disturbance means a synthetic composite of heat gains and losses caused by internal heat sources e.g., people, lights, equipment), and airflows. It is difficult to measure and quantify the internal heat sources and airflows due to their dynamic nature and time-lag impact on indoor environment. To address this issue, a Kalman filter estimation method was used in this study. The Kalman filtering is well suited for situations when state variables of interest cannot be measured. Based on virtual and real experiments conducted in this study, it was found that the Kalman filter can be used to estimate the time-varying process disturbance in a building space. View Full-Text
Keywords: Kalman filter; state augmentation; internal heat gain; uncertainty Kalman filter; state augmentation; internal heat gain; uncertainty
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Kim, D.-W.; Park, C.-S. Application of Kalman Filter for Estimating a Process Disturbance in a Building Space. Sustainability 2017, 9, 1868.

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