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Godfried Augenbroe

Researcher at Georgia Institute of Technology

Publications -  149
Citations -  4428

Godfried Augenbroe is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Building design & Uncertainty analysis. The author has an hindex of 32, co-authored 146 publications receiving 3731 citations. Previous affiliations of Godfried Augenbroe include Sungkyunkwan University & Delft University of Technology.

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Analysis of uncertainty in building design evaluations and its implications

TL;DR: In this article, uncertainties in building performance evaluations and their potential impact on design decisions are addressed, where the authors focus on the domain expertise of the building physics expert responsible for those inputs that sustain rational decisions with respect to energy use, thermal comfort, HVAC system sizing, etc.
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A review of uncertainty analysis in building energy assessment

TL;DR: The data sources of uncertainty in building performance analysis are described to provide a firm foundation for specifying variations of uncertainty factors affecting building energy, and several applications of uncertainty analysis in building energy assessment are discussed.
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Knowledge management in the architecture, engineering and construction industry

TL;DR: Knowledge management is now recognized as a core business concern and intellectual assets play a vital role in gaining competitive advantage within the architecture, engineering and construction (AEC) industry, where the need for innovation and improved business performance requires the effective deployment and utilization of project knowledge as discussed by the authors.
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Trends in building simulation

TL;DR: The maturation of building simulation into a recognized and indispensable discipline for all professions, involved in the design, engineering, operation and management of buildings has now become the imminent challenge as discussed by the authors.
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Multi-criteria decision making under uncertainty in building performance assessment

TL;DR: In this paper, a case study is described focussing on a discrete decision that involves a choice between two HVAC system designs, and the analytical hierarchy process (AHP) including uncertainty information is used to arrive at a rational decision.