A probabilistic-based method to evaluate hygrothermal performance of an internally insulated brick wall

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Jianhua Zhao - , Tianjin University (Author)
  • Jianshun Jensen Zhang - , Syracuse University (Author)
  • John Grunewald - , Chair of Building Physics (Author)
  • Shuo Feng - , Qinhuangdao Municipal Bur Foreign Affairs & Comme (Author)

Abstract

Uncertainty exists in many aspects of building simulation. A deterministic hygrothermal analysis may not sufficiently give a reliable guidance if a number of input variables are subject to uncertainty. In this paper, a probabilistic-based method was developed to evaluate the hygrothermal performance of building components. The approach accounts for the uncertainties from model inputs and propagates them to the outputs through the simulation model, thus it provides a likelihood of performance risk. Latin hypercube sampling technique, incorporated with correlation structure among the inputs, was applied to generate the random samples that follows the intrinsic relations. The performance of an internally insulated masonry wall was evaluated by applying the proposed approach against different criteria. Thermal performance, condensation and mould growth potential of the renovated wall can overall satisfy the requirements stipulated in multifold standards. The most influential inputs were identified by the standardized regression sensitivity analysis and partial correlation technique. Both methods deliver the same key parameters for the single and time-dependent output variables in the case study. The probabilistic method can provide a comprehensive risk analysis and support the decision-maker and engineer in the design and optimization of building components.

Details

Original languageEnglish
Pages (from-to)283-299
Number of pages17
JournalBuilding simulation
Volume14
Issue number2
Publication statusPublished - 30 Sept 2020
Peer-reviewedYes

External IDs

Scopus 85091732097

Keywords

Keywords

  • probabilistic approach, hygrothermal performance, building component, uncertainty analysis, sensitivity analysis, SENSITIVITY-ANALYSIS, ENERGY SIMULATION, MOLD GROWTH, UNCERTAINTY, HEAT