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This pilot study reports on an initial quantification of such uncertainty associated with building energy performance and develops a method for informing decision makers of the risks in early design decisions under this uncertainty. Two case studies of building design decision situations under this uncertainty are explored along with using two different energy modeling tools: a reduced-order model and a high-order model. The intended contribution is to identify if a decision can be made with confidence in early design given a high level of uncertainty in the evolution of a design and what models can support decisions of this sort. Integration of the proposed decision support approach with a computer-aided design model is shown as well.<\/jats:p>","DOI":"10.1017\/s0890060415000426","type":"journal-article","created":{"date-parts":[[2015,10,7]],"date-time":"2015-10-07T09:27:33Z","timestamp":1444210053000},"page":"429-441","source":"Crossref","is-referenced-by-count":26,"title":["Assessment of uncertainty and confidence in building design exploration"],"prefix":"10.1017","volume":"29","author":[{"given":"Roya","family":"Rezaee","sequence":"first","affiliation":[]},{"given":"Jason","family":"Brown","sequence":"additional","affiliation":[]},{"given":"Godfried","family":"Augenbroe","sequence":"additional","affiliation":[]},{"given":"Jinsol","family":"Kim","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2015,10,7]]},"reference":[{"key":"S0890060415000426_ref7","volume-title":"Advanced Building Simulation","author":"de Wit","year":"2003"},{"key":"S0890060415000426_ref18","unstructured":"Kim J. , Augenbroe G. , & Suh H.S. 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