Modeling thermal building-dynamics

Four methods for industrial air technology design are presented in this chapter computational fluid dynamics (CFD), thermal building-dynamics simulation, multizone airflow models, and integrated airflow and thermal modeling. In addition to the basic physics of the problem, the methods, purpose, recommended applications, limitations, cost and effort, and examples are pro vided. 

This section does not contain any fundamentals or mathematics bur tries to describe the basic energy flows and the methods used in thermal building-dynamics simulation codes to model these. Also, the methods are described without stating the underlying algorithms and equations, for which the reader is referred to the literature and references. A short outline of how these models affect the application possibilities and limits is given at the end of this section and also in Section 11.3.7. 

Moisture-transport simulation includes transport as well as storage phenomena, quite similar to the thermal dynamic analysis, where heat transfer and heat storage in the building elements are modeled. The moisture content in the building construction can influence the thermal behavior, because material properties like conductance or specific heat depend on moisture content. In thermal building-dynamics simulation codes, however, these... 

Due to the thermally driven air exchange and the large building masses involved, the problem must be studied using a dynamic thermal building mode) wirh an integrated ventilation model. 

Flowever, with CFD, configurations with mostly known or at least steady-state boundary conditions and surface temperatures are calculated. In cases where the dynamic behavior of the building masses and the changing driving forces for the natural ventilation are of importance, thermal modeling and combined thermal and ventilation modeling mu.st be applied (see Section 11..5). 

Parts II and III cover fast energy flow, both computational and experimental study of vibrational energy transport in proteins and nanostructures, which occurs typically on a lOps timescale. The four chapters in Part II detail methods based on molecular dynamics simulations for computing vibrational energy flow in proteins. The four chapters in Part III provide approaches that build mainly on a normal mode picture to describe vibrational energy and heat transport in proteins, as well as theoretical approaches that can be applied to model nanostructures, providing insights into the control of thermal transport on the nanoscale. 

Tanabe, S., Kobayashi, K., Nakano, J., Ozeki, Y. Koni-shi, M. 2002. Evaluation of thermal comfort using combined multi-node thermoregulation (65MN) and radiation models and computational fluid dynamics (CFD). Energy and Buildings 34 ... 

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