Conceptual Reference Database for Building Envelope Research Prev
Next

Development of a simulation tool for mould growth prediction in buildings

Clarke, J. A., Johnstone, C. M., Kelly, N. J., Mclean, R. C. and Nakhi, A. E.
1997
Building Simulation '97


Clarke, J. A., Johnstone, C. M., Kelly, N. J., Mclean, R. C. and Nakhi, A. E., (1997), "Development of a simulation tool for mould growth prediction in buildings", Building Simulation '97.
ABSTRACT

Epidemiological evidence suggests that mould infestation in buildings can have serious health implications for the occupants. On the basis of an analysis of published data, growth limit curves for six generic mould categories have been generated in terms of the minimum combination of temperature and relative humidity required to sustain growth on indoor building surfaces. These limits have been incorporated within the ESP-r system for use in conjunction within combined heat and moisture flow simulations. The result is a design tool which can predict the likelihood and extent of mould growth. This paper describes the mould growth model, the approach taken to moisture flow simulation within multi-layered constructions and the results from comparisons with monitored data and mycological samples taken from a mould-infested house.


This publication in whole or part may be found online at: This link was checked on Dec. 2006here.

Related Concepts


Author Information and Other Publications Notes
Clarke, J. A.
Energy Systems Research Unit, Department of Mechanical Engineering, University of Strathclyde, Glasgow, UK
  1. A technique for the prediction of the conditions leading to mould growth in buildings
  2. Energy simulation in building design
  3. Further developments in the conflation of CFD and building simulation
  4. Integrated Building Performance Simulation
  5. Integrated building simulation: state-of-the-art, Introducing Building Energy Simulation Classes on the Web
  6. Integrating CFD and building simulation
  7. Numerical modelling and thermal simulation of PCM¨Cgypsum composites with ESP-r
  8. On the use of simulation in the design of embedded energy systems
  9. Performance Prediction Tools for Low Impact Building Design
  10. Prediction of toxigenic fungal growth in buildings by using a novel modelling system
  11. Simulation Tools For The Exploitation Of Renewable Energy In The Built Environment: The Entrack-Gis System  
Johnstone, C. M.
Energy Systems Research Unit, Department of Mechanical Engineering, University of Strathclyde, Glasgow, UK
  1. A technique for the prediction of the conditions leading to mould growth in buildings
  2. On the use of simulation in the design of embedded energy systems
  3. Prediction of toxigenic fungal growth in buildings by using a novel modelling system  
Kelly, N. J.
Energy Systems Research Unit, Department of Mechanical Engineering, University of Strathclyde, Glasgow, UK
  1. A technique for the prediction of the conditions leading to mould growth in buildings
  2. Towards a design environment for buildingintegrated energy systems: the integration of electrical power flow modelling with building simulation  
Mclean, R. C.
Energy Systems Research Unit, Department of Mechanical Engineering, University of Strathclyde, Glasgow, UK
  1. A technique for the prediction of the conditions leading to mould growth in buildings
  2. Evaluation of discretized transport properties for numerical modelling of heat and moisture transfer in building structures
  3. Moisture permeability data presented as a mathematical relationship
  4. Nonisothermal moisture diffusion in porous building materials
  5. Prediction of toxigenic fungal growth in buildings by using a novel modelling system
  6. The application of X-ray absorption to building moisture transport studies
  7. The determination of vapour and liquid transport coefficients as input to combined heat mass transfer models
  8. The effect of temperature on the moisture permeability of building materials
  9. The selection of appropriate flow potentials for moisture transport models
  10. The use of differential permeabilty in moisture transport modelling  
Nakhi, A. E.
  1. Adaptive construction modelling within whole building dynamic simulation  



CRDBER, at CBS, BCEE, ENCS, Concordia,