10.1007/s40095-018-0291-7

Uncertainty and sensitivity analyses applied to a dynamic simulation of the carbon dioxide concentration in a detached house

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  • Jean-Louis Bouvier1,
  • Stéphanie Bontemps1,
  • Laurent Mora*1,
  1. I2M, UMR-CNRS 5295, Université de Bordeaux, Talence, 33400, FR
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Published in Issue 2018-11-16

How to Cite

Bouvier, J.-L., Bontemps, S., & Mora, L. (2018). Uncertainty and sensitivity analyses applied to a dynamic simulation of the carbon dioxide concentration in a detached house. International Journal of Energy and Environmental Engineering, 10(1 (March 2019). https://doi.org/10.1007/s40095-018-0291-7
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Abstract

Abstract This paper aims to study the variability of indoor CO 2 concentration due to occupant behaviour and physical parameter uncertainties. A case study, conducted in a mechanically ventilated detached house, is presented with an uncertainty and sensitivity analysis (Monte Carlo method with a Latin hypercube sampling). Uncertainties related to occupant behaviour are described by combining four types of scenarios: occupation, generation of CO 2 per person, indoor doors, and outdoor windows’ openings. The uncertainty analysis showed that despite an acceptable average room CO 2 concentration, large variations, due to input parameter uncertainties, are observed in CO 2 instantaneous concentrations. Moreover, during occupied periods, average value is relatively important (higher than 1300 ppm). Occupants spent around 30% of the time at CO 2 concentrations over 1500 ppm. Large output uncertainties are reached on the cumulative CO 2 concentration and time fraction spent over 1500 ppm. The sensitivity analysis highlights the strong influence of the parameters related to bedrooms (number of occupants, night generation of CO 2 ) and of the kitchen extracted airflow rate. It also shows that low-level air change rates in bedrooms are mainly caused by an incorrect air distribution in the building. Potential solutions to reduce both concentrations and uncertainties are discussed.

Keywords

  • Uncertainty analysis,
  • Sensitivity analysis,
  • Mechanical exhaust ventilation,
  • Indoor air quality,
  • Occupant behaviour,
  • Residential buildings
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