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A technique for the prediction of the conditions leading to mould growth in buildings

Clarke, J. A., C. M. Johnstone, N. J. Kelly, R. C. McLean, J. A. Anderson, N. J. Rowan, and J. E. Smith
1999
Building and Environment, v. 34, p 515-521

Clarke, J. A., C. M. Johnstone, N. J. Kelly, R. C. McLean, J. A. Anderson, N. J. Rowan, and J. E. Smith, (1999), "A technique for the prediction of the conditions leading to mould growth in buildings", Building and Environment, v. 34, p 515-521.
Abstract:
Epidemiological evidence suggests that the presence of mould growth in buildings can have a detrimental effect on the well-being of occupants. Based on an extensive literature review, growth limits for six generic mould categories have been formulated in terms of the minimum combination of temperature and relative humidity for which growth will occur on building materials. These limits were incorporated within the ESP-r system for building energy and environmental simulation in order to provide a design tool which can predict the likelihood and extent of mould infestation. The systems new predictive capability has been tested against monitored data and mycological samples taken from a mould infested house.

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Author Information and Other Publications Notes
Clarke, J. A.
Energy Systems Research Unit, Department of Mechanical Engineering, University of Strathclyde, Glasgow, UK
  1. Development of a simulation tool for mould growth prediction 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. Development of a simulation tool for mould growth prediction 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. Development of a simulation tool for mould growth prediction 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. Development of a simulation tool for mould growth prediction 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  
Anderson, J. A.
Department of Bioscience and Biotechnology, University of Strathclyde, Glasgow, UK
  1. Prediction of toxigenic fungal growth in buildings by using a novel modelling system
  2. Preparation of fungal spores for mycotoxin detection  
Rowan, N. J.
Department of Bioscience and Biotechnology, University of Strathclyde, Glasgow, UK
  1. Prediction of toxigenic fungal growth in buildings by using a novel modelling system  
Smith, J. E.
Department of Bioscience and Biotechnology, University of Strathclyde, Glasgow, UK
  1. Performance characteristics of the button personal inhalable aerosol sampler
  2. Preparation of fungal spores for mycotoxin detection  


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