Identification of Multistorey Building's Thermal Performance Based on Exponential Filtering  

Oleh:

Abdullin, Vildan V. ; Shnayder, Dmitry A. ; Kazarinov, Lev S.

Jenis: Article from Books - E-Book
Dalam koleksi: Transactions on Engineering Technologies: Special Volume of the World Congress on Engineering 2013, page 501-512.
Topik: Building thermal conditions model; Case study; Dynamics model; Exponential filtering; Heating of buildings; Identification; Inverse dynamics operator
Fulltext: 36_978-94-017-8831-1_Abdullin_Shnayder_Kazarinov.pdf (1.6MB)

Isi artikel

This work examines the identification of thermal performance of a multistorey building, based on experimental data available for direct measurement. The authors suggest a new model structure with a reduced number of parameters. An identification method based on building an inverse dynamics model that uses exponential filtering is considered. The method makes it possible to estimate signals that cannot be measured directly: the signal of the general perturbation of the indoor air temperature and the signal of specific heat loss through the building envelope. Two examples are given of identifying the thermal performance of a building model: the one based on simulated test data and another one based on real measured data. The identification method proposed in the article puts in a strong performance in both the simulated data model as well as real-data model and may be used in engineering calculations for designing automatic control systems and in predictive control algorithms for heating buildings.

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