life cycle cost optimization of a building enclosure system with respect to wind pressure loads

Open Access
Han, Guiyuan
Graduate Program:
Architectural Engineering
Doctor of Philosophy
Document Type:
Date of Defense:
November 22, 2013
Committee Members:
  • Jelena Srebric, Dissertation Advisor
  • Stephen James Treado, Committee Member
  • John Messner, Committee Member
  • Gul Kremer, Committee Member
  • life cycle cost
  • building energy consumption
  • air infiltration rates
  • CFD
  • Multizone modeling
  • survey
  • sensitivity analysis
Buildings contribute to a significant fraction of the total energy cost during all processes of its life span. Also, buildings are dynamic, non-linear systems with a large number of components that strongly influence total building energy consumption. For instance, air infiltration rates directly impact the building energy consumption to a larger or smaller degree depending on the tightness of building enclosure and Heating Ventilation and Air Conditioning (HVAC) system operation. Therefore, it is challenging to find an optimal combination of building components to minimize the building life cycle cost (LCC). Databases have become main source of operating energy in building life cycle analysis (LCA) studies. Current energy simulation uses averaged wind pressure distribution profile in infiltration rates calculation, which can only partially reflect the characters of the specific building. Therefore, the objective of this study is to propose a life cycle optimization framework of building enclosure system with energy simulation accounting for time-dependent infiltration rates. Based on a detailed review, this study first developed a life cycle optimization framework by combining optimization algorithm and building life cycle analysis. The life cycle analysis will include all the phases during a building’s life span. Specifically, the operating energy cost is the result of building energy simulation associating with the time-dependent infiltration rates calculation. Additionally, the key parameters of enclosure system are also deplored based on the results of survey and numerical sensitivity analysis. Finally, a case study based on an office building is developed to demonstrate the framework.