Seminar 15 Do the Users Follow the Model?

Sunday, January 29, 2017: 1:30 PM-3:00 PM
Building Operation and Performance
Chair: Guy Perreault, P.Eng., Evap-Tech MTC inc.
Technical Committee: 9.10 Laboratory Systems
This session presents case studies to provide guidance for developing energy models for laboratory buildings. The presenters demonstrate real life examples of energy savings using demand based ventilation and the implementation of wind responsive VAV exhaust systems in laboratories. Finally, it addresses why the actual energy consumption of laboratories may differ from the original model.

1  Modelling, Measuring and Evaluating Laboratory Energy Efficiency Performance

Gordon Sharp, Aircuity Inc
Demand based control, variable exhaust fan controls, heat recovery, etc. have significant impact on saving energy in labs. Building a holistic model of these systems , when these approaches interact with each other can be a challenge. An energy analysis tool was developed to address these concerns. This presentation discusses this energy analysis tool that measures actual savings of completed projects. Case studies showing the energy savings modeled compared with actual airflow savings and energy performance is presented. Lessons learned is also presented, explaining why some of these lab projects were not initially achieving their energy savings.

2  Wind Response Exhaust Fan Control Case Study

Brad Cochran, P.E., C P P Inc
This presentation discusses actual projects implementing wind responsive VAV exhaust systems for laboratories. It also addresses the steps to ensure a safe operation of the VAV controls.

3  Energy Model vs. Actual Performance Case Study

Kelley Cramm, P.E., Henderson Engineers
This presentation discusses the differences between modeled building energy performance and actual consumption. Limitations of modeling software and engineering assumptions are included. Differences between modeling existing buildings and new buildings is also presented. The discussion includes common areas of difference between models and actual performance.
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