Mathematical and Statistical Models and Methods for Describing the Thermal Characteristics of Buildings

Henrik Madsen (Invited author), Peder Bacher (Invited author), Philip Hvidthøft Delff Andersen (Invited author)

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

    Abstract

    This paper describes a number of statistical methods and models for describing the thermal characteristics of buildings using frequent readings of heat consumption, ambient air temperature, and other available climate variables. For some of the methods frequent readings of the indoor air temperature are needed or beneficial. The suite of models described consists of nonlinear stochastic models, linear stochas- tic models, transfer function models, frequency response function models, impulse response models and regression models. The final choice of model depends on the purpose of the modelling, existence of prior physical knowledge, the data and the available statistical soft- ware tools. The importance of statistical model validation is discussed, and some simple tools for that purpose are demonstrated. This paper also briefly describes some of the most frequently used software tools for modelling the thermal characteristics of buildings. Many of the stochastic models are developed and tested using data from outdoor test- ing during a number of EU projects (PASSYS, PASLINK, DAME-BC, ..). These projects have provided the background for new methods for using frequent readings of the energy consumption to an assessment of the energy performance of buildings. Smart meters are now used more and more often. A smart meter facilitates frequent read- ing of the energy consumption, and together with some local meteorological measurements, which almost always are available, the scene is now set for using the developed methods for time series modelling or system identification. Applying these methods the following can be achieved: Characterization of the energy performance of buildings (including energy labelling), identification of how to improve the thermal performance of the building, and improved control of the energy supply.
    Original languageEnglish
    Title of host publicationDynamic Methods for Building Energy Assessment
    Publication date2010
    Publication statusPublished - 2010
    EventDYNASTEE International Workshop on Dynamic Methods for Building Energy Assessment - Brussels, Belgium
    Duration: 11 Oct 201012 Oct 2010

    Workshop

    WorkshopDYNASTEE International Workshop on Dynamic Methods for Building Energy Assessment
    CountryBelgium
    CityBrussels
    Period11/10/201012/10/2010

    Keywords

    • Continuous time modelling, stochastic differential equations, heat consumption, smart meters, Grey-box models, heat dynamics, thermal dynamics, buildings, energy labelling

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