The results of this comparative analysis illustrate from most impacting of accuracy to least: degree of expertise of the modeler; assumptions of – climate data, occupancy number & schedule, appliance gain & schedule, lighting gain & schedule, ground temperatures, infiltration rates, thermostat set-points and schedule, and HVAC coefficient of performance and schedule, and finally modules that include or exclude specific systems such as PV, SHW, GSHP and SIPs. The accessibility is nearly the inverse of accuracy. The amount of time to input the data and become proficient in modeling determined the comparative accessibility from most accessible – least excluding REM/RATE: Energy-10, PHPP 2010, E-Quest, Energy Plus.
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Links to related studies:
Snow Creek Energy Monitoring
Department of Energy BA
Boston Society of Architects Grant