Paper Conference

Proceedings of SimBuild Conference 2012: 5th conference of IBPSA USA


Estimation of Thermal Parameters of Buildings Through Inverse Modeling and Clustering for a Portfolio of Buildings

Lianjun An, Raya Horesh, Young T. Chae, Young M. Lee
IBM T.J. Watson Research Center, Yorktown Heights, New York 10598, U.S.A.

Abstract: Estimating heat transfer parameters of building envelope for existing buildings is challenging due to limited data from sensors and meters. In this study, we have developed a method for estimating heat transfer parameters of building envelope through clustering technique with inverse modeling for portfolio of buildings. Firstly, we derived a static heat transfer model from a system of dynamic equations by integrating the equations for different time periods. The model links monthly energy usage with cooling and heating loads, and latent heat loads. Secondly, temporal data from a building was used to estimate the overall heat transfer parameters. Thirdly, a clustering scheme was developed to segment all buildings in the portfolio into different clusters based on similarity criteria. The overall heat transfer parameters are then separated into different heat transfer coefficients for wall, roof and window using data from multiple buildings in the same cluster. We describe an application of this method to K-12 school buildings in the New York City.
Pages: 295 - 305