Simulating Heat and Mass Transfer with Limited Amount of Sensor Data

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


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.



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.


  1. 1.
    Bonvini, M., Leva, A.: Object-oriented sub-zonal modelling for efficient energy-related building simulation. Math. Comput. Model. Dyn. Syst. 17(6), 543–559 (2011)Google Scholar
  2. 2.
    Grinzato, E., Volinia, M., Girotto, M., Bison, P., Cadelano, G., Peron, F., Tos, L.: Knowing to prevent: indoor global monitoring by IR thermography. In: Proceedings of ART11 (2011)Google Scholar
  3. 3.
    IBM Research, Physical Analytics Group: Cited 23 Dec 2016
  4. 4.
    IBM Research, Physical Analytics Group: Cited 23 Dec 2016
  5. 5.
    Kargere, L., Leona, M., Tsukada, M., Winslow, A., Hamann, H.F., Klein, L., Robbins, M.A., Vici, P.D., Bermudez-Rodriguez, S.A., Schrott, A.: A technology platform for managing micro-climatic conditions in a museum environment. In: 42nd Annual AIC Meeting (2014)Google Scholar
  6. 6.
    Landau, L.D., Lifshitz, E.M.: Fluid Mechanics. Pergamon Press, Oxford (1959)zbMATHGoogle Scholar
  7. 7.
    Lienhard IV, J.H., Lienhard V, J.H.: A Heat Transfer Textbook. Phlogiston Press, Cambridge (2011)Google Scholar
  8. 8.
    López, V., Hamann, H.F.: Heat transfer modeling in data centers. Int. J. Heat Mass Transfer 54(25–26), 5306–5318 (2011)CrossRefzbMATHGoogle Scholar
  9. 9.
    NETGEN: Open-Source Mesh Generator. Cited 23 Dec 2016
  10. 10.
    OpenFOAM: Open-Source CFD Toolbox. Cited 23 Dec 2016
  11. 11.
    Parsons, R.: ASHRAE Fundamentals Handbook. American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc. (ASHRAE), Atlanta (1997)Google Scholar
  12. 12.
    SENSIRION Sensor Company: Introduction to Humidity: Basic Principles on Physics of Water Vapor. Cited 23 Dec 2016

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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