Guiding Design Teams by Hygrothermal, Energy, and Thermal Comfort Analysis while Managing Uncertainty
Abstract
Ideally moisture analysis of buildings is based on statistical analysis where the probability of failure, loads and design parameters are random variables, similar to limit state design for structural engineering. However, many industry professionals and standards, such as ASHRAE Standard 160 acknowledge that sufficient information is rarely available to make a full statistical analysis practical. Informed design decisions must balance the best available information as well as professional judgment. Even so, informed decisions require assumptions that will closely parallel reality, and not be too stringent or optimistic, so that durability, energy-efficiency, occupant comfort, and architectural requirements are not unnecessarily sacrificed.
This paper presents a case study of systematically evaluating the feasibility of insulating existing un-insulated painted brick mass masonry walls. Specifically, how to manage uncertainty through computer simulations that incorporate findings from the field and testing. This project included field investigations, lab testing of brick samples for hygrothermal properties and freeze-thaw damage criterion, and computer simulations. Simulations included 1D/2D hygrothermal, 3D thermal, and whole building energy analysis. The analysis and investigation informed possible retrofit options that were presented using data visualization techniques so that a clear picture of the potential energy savings and improvements to thermal comfort could be effectively presented to the design team.
