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Building Research and Monitoring |
Energy Efficiency for Laboratories. A comprehensive study of energy efficiency measures for laboratories using the DOE-2.2 building energy simulation software. This work led to the development of a benchmarking tool for laboratories. The DOE-2.2 model includes 9290 m2 laboratory space and 9290 m2 office space. Existing laboratories can be compared to the benchmark to measure relative performance and ascertain potential energy savings. Enermodal is currently analyzing the influence of variable internal loads on HVAC performance in laboratories. Report is available on the
LABS 21 web
site.
Client: U.S. Environmental Protection Agency |
Protective Glazings in Historic
Churches. This study evaluated the energy performance implications of protective glazing
in churches, including the impact of venting the glazing and
thermostat setback. The project involved buildings in five different locations.
Client: U.S. National Park Service |
Window and Glazing Performance in
Office Buildings. Enermodal performed a parametric analysis of window options in
large office buildings for climates throughout the world.
Specifically, the research investigated the influence of forced air over window surfaces on building loads.
(In hot climates, cold air is blown across the window surface and the air draws more heat into the building than predicted by building energy simulation programs.) Enermodal calculated the effective interior heat transfer coefficients for a range of glazing systems and compared their energy performance and impact on comfort conditions in the space.
Client: Guardian Industries |
Field Monitoring of Solar DHW Systems. Enermodal conducted field trials on 42 solar domestic hot water systems over a two-year period. All systems were inspected, commissioned and monitored with results compared to computer simulations. The systems were re-inspected at the end of the process to identify any degradation or maintenance problems.
Client: Natural Resources Canada |
Energy and IAQ Performance of Demand Controlled
Ventilation. A building simulation model was linked to an indoor contaminant model to assess the potential energy savings and improvement in indoor air quality of controlling ventilation rates on CO2 levels. The study examined four climate types and several design and control strategies to determine the optimum system design.
Client: ASHRAE |
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