Are you interested in your planned or existing exhaust fan systems operating in a more energy efficient manner? Is wind tunnel modeling and control strategy optimization right for your exhaust fan application? Join CPP Wind for the final installment of our 3-part fan optimization webinar series to answer these questions, and learn how we can help your team successfully implement and capitalize on the energy savings potential available in your exhaust fan systems.
This webinar will address the post-wind tunnel modeling steps in our exhaust fan optimization process and dive into the implementation, commissioning/validation, and realization of energy savings potential. With the information gained during this webinar, you will be equipped to determine if your exhaust fan systems are ready to take the next energy saving steps and how CPP can help your team safely implement successful fan optimization solutions.
Over the last 15 years, CPP has pioneered the use of VAV to optimize more than 300 lab exhaust systems throughout the world for organizations such as the University of California (Berkeley, Davis, San Francisco, Santa Barbara, etc.), US EPA, and the National Renewable Energy Laboratory. These optimization projects have resulted in the cumulative reduction of 150,000 tons of CO2 into the atmosphere and energy savings of over 225 gigawatt hours.
Join CPP’s 3-part webinar series for an in-depth review and learn how you can reduce your carbon footprint and take advantage of potential energy savings at your facility.
This webinar will focus on:
Bring the proven science of Wind Engineering to the design and operation of your facility. To attend, register here
If you would like more information on Laboratory Fan Energy Optimization, please e-mail: marketing@cppwind.com.
CPP Wind Senior Engineer, Greg Gross, brings 10 years of experience conducting wind tunnel and analytical modeling, and implementation of VAV exhaust systems for laboratory and hospital ventilation design. His experience with HVAC systems, controls, and air quality analysis provide effective troubleshooting abilities and insight.
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