2 Development and Use of the Energy Model of a Research and Demonstration House with Advanced Design Features (ST-16-C030)

Vicente Bortone, P.E., Johnson Controls, Inc.
Nelson Fumo, Ph.D., University of Texas at Tyler
Advances on manufacturing processes and the use of new materials are increasing the efficiency and reducing the cost of energy efficient and renewable energy technologies to a point that their deployment will reach desired levels for the sake of energy security and environmental concerns. Along these advances, the demonstration of the cost-effectiveness of this technology is vital to educate people and promote deployment of these technologies. In this sense, at the University of Texas at Tyler, two research and demonstration houses were built. House #1 is a conventional design with some advanced features, and House #2 has more advanced design features. In this study, House 2 is considered, which has relevant characteristics such as net-zero energy with 7.4 kW of solar photovoltaic system, advanced wall framing with open-cell foam insulation (R-24), unvented attic with open-cell foam insulated roof deck (R-24), vinyl-frame windows with double-pane, low-E glass (U=0.33, SHGF=0.23), ducted single-split system in attic (19.0 SEER, 9.0 HSPF), high solar reflectance shingles, and heat pump water heater. Since building energy performance depends on many factors, different scenarios or design characteristics can be assessed by using an energy model. In this study, the software OpenStudio is used to develop a model for House #2. OpenStudio, developed by the National Renewable Energy Laboratory, is a user interface for the well know whole building energy simulation engine EnergyPlus. This paper shows the more relevant steps on model development including definition of the constructions in the model for the walls and roof, development of performance curves for the air source heat pump installed in the house, roof elevations development technique, and weather file. As a means of validation of the model, energy consumption from the model is compared against utility bills data in a calibration approach that is available in the software. The model is used to evaluate some design parameter that can reduce energy consumption during one season (cooling or heating), but increasing energy consumption during the other, such as the high solar reflectance shingles and the use of a heat pump water heater.

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