Simulating Heat and Mass Transfer with Limited Amount of Sensor Data

Conference paper
Part of the Mathematics in Industry book series (MATHINDUSTRY, volume 26)

Abstract

We consider the problem of dynamically modeling the distribution of temperature and concentration of water vapor inside a building. It is assumed that the building is equipped with a network of sparsely located sensors and a data management system recording measurements of temperature, relative humidity, and air flow. The measurements serve as input data for a time-dependent boundary value problem proposed to simulate heat and mass transfer inside a building.

Notes

Acknowledgements

The author thanks members of the Physical Analytics group at IBM for discussions that led to the motivation for carrying out this work and Ognyan Stoyanov for helpful comments on a preliminary version of this paper.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2017

Authors and Affiliations

  1. 1.IBM T. J. Watson Research CenterYorktown HeightsUSA

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