Energy modeling is at the forefront of sustainability and high performance building design. A critical tool in the design process, the information it provides has the potential to help designers transform energy performance – but the assumptions that are inherently part of the process can put accuracy at risk. How do we make energy modeling more reliable? And how do we reconcile model projections with real world results?






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