HAM: LATENITE

"The moisture transport potenials used in the model are moisture concent and vapor pressure; for energy transport, temperatureis used. The porous media transport of moisture (vapor and liquid) through each material layer is considered strongly coupled to the material properties (i.e. the sorption suction curves) the corresponding moisture fluxes are decomposed for each phase and treated separately. Energy and moisture conservation equations are coupled via phase changes of moisture (latent heat of evaporation, freezing of liquid). Hourly weather data can be used to create the boundary conditions. Weather: T, RH, wind speed, wind direction, hourly precipitation, direct and diffuse solar ratiation, and cloud cover index. (Salonvaara, M. H., Ojanen, T., Kokko, E. and Karagiozis, A. N., 1998, Drying capabilities of wood frame walls with wood siding)

Salonvaara, M. Karagiozis, A., and Holm, A., 2001, Stochastic building envelope modelingˇŞ the influence of material properties:: The LATENITE-VTT is an enhanced version of the original LATENITE model (Hens 1996; Salonvaara and Karagiozis 1994; Karagiozis and Salonvaara 1999). LATENITE-VTT includes not only the building envelope solver but also a capability to simulate the interactions between the building envelope and the indoor air by solving the whole building energy and mass balance. An example of this capability is given in another paper in this conference (Simonson et al. 2001). The model includes the capability for handling internal heat and moisture sources, gravity-driven liquid moisture, and surface drainage capabilities. It can provide both deterministic and stochastic, statistically based results. The corresponding moisture fluxes are decomposed for each phase and are treated separately.


Related References:

• Geving, S., Karagiozis, A. and Salonvaara, M., (1997), Measurements and two-dimensional computer simulations of the hygrothermal performance of a wood frame wall
• Hens, H. and Janssens, A., (1993), Inquiry on HAMCAT codes
• use
  Karagiozis, A. N., (1998), Applied moisture engineering
• Nofal, M. and M.K. Kumaran, (2000), On implementing experimental biological damage-functions models in durability assessment systems
• Ojanen, T., Salonvaara, M. and Simonson, C. J., (2002), Integration of simplified drying tests and numerical simulation in moisture performance analysis of the building envelope
• use it with experiment
  Okland, O., (1998), Convection in highly insulated building structures
• Salonvaara, M. H. and Karagiozis, A., (1994), Moisture transport in building envelopes using an approximate factorization solution method
• description of LATENITE
  Salonvaara, M. H., Ojanen, T., Kokko, E. and Karagiozis, A. N., (1998), Drying capabilities of wood frame walls with wood siding
• Salonvaara, M. Karagiozis, A., and Holm, A., (2001), Stochastic building envelope modeling -- the influence of material properties
• Straube, J.F. and Burnett, E.F.P, (2001), Overview of hygrothermal (HAM) analysis methods

• HAM: 1D-HAM
• HAM: DELPHIN 4, DIM 3.1
• HAM: EMPTIED
• HAM: GLASTA
• HAM: hygIRC
• HAM: Hygran24
• HAM: Lund-Gothenburg Group for Computational Building Physics
• HAM: MATCH
• HAM: MOIST 3 1-D heat and moisture transfer model
• HAM: MOISTURE-EXPERT
• HAM: simple calculations
• HAM: simulation input parameters
• HAM: TCCC2D - Transient Coupled Convection and Concudtion in 2 Dimensions
• HAM: TRATMO
• HAM: WALLDRY
• HAM: WUFI (W?rme- Und Feuchtetransport Instation?r)
• HAM: WUFI-ORNL/IBP
• MOIST 3 property data