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Optimum Energy Builds Innovation Portfolio with New Patent for Whole-Campus HVAC Optmization

Optimum Energy Summary SEATTLE, Sept. 26, 2019— Optimum Energy continues to advance smart building technology and scale up energy efficiency potential with a new patent issued this month, which adds to the HVAC specialist’s technology advantage in optimizing building environmental systems...


Library Entry
Phased Approach to Campus Wide Chilled Water System Optimization at Clemson University

Summary Clemson University implemented a multi-phased approach to chilled water system optimization across its 1,400 acre campus, served by multiple chiller plants connected through a common hydraulic piping system. This case study presentation will outline and discuss the process and...

5A.2_Toback_Putnam_Holbrooks.pdf


Library Entry
The Evolution of the University of Texas at Austin Cooling System & How to Apply their Successes to District Energy Systems

Summary The session will provide a historical perspective and the optimization methodologies used to improve the 60,000 ton chilled water system at UT Austin over the last decade. Actual results over the last seven years will be presented and the session will cover targeted approaches such as...

5A.1_Ontiveros_Erpelding.pdf


Library Entry
Georgia Institute of Technology Case Study

Summary In 2016, Georgia Institute of Technology received permission from the state of Georgia to enter into a Guaranteed Energy Savings Performance Contract (GESPC) and receive a $7.7 million loan to tackle any energy and water conservation project it wanted—as long as the project could pay...

Georgia-Tech-CS-1.pdf


Library Entry
District Chilled Water Optimization at Penn State Health, The Milton S. Hershey Medical Center

Summary Penn State Health, The Milton S. Hershey Medical Center is a 4.5 million square foot campus serving more than 1.2 million patients annually. A district chilled water system comprised of 11 chillers totaling 13,300 tons of cooling serves the cooling needs of the campus. The presentation...

1C.2_Kanoff_Kosobucki.pdf


Library Entry
Roadmap for Cooling System Improvements

Summary Presented at IDEA's Campus Energy Conference Distribution Workshop March 5, 2018. Speakers Juan Ontiveros, UT Austin Ben Erpelding, Optimum Energy #CampusEnergyConference #ConferenceProceeding #2018 #ThermalDistribution #Workshop #DistrictCooling #UniversityofTexasAustin...

TD-2.1_ONTIVEROS_TDWorkshop2018.pdf


Library Entry
Optimization through the Perfect Plant Design

Summary Optimum Energy will be presenting on chilled water system optimization and methods to enhance traditional variable speed controls through sustainable design best-practices. Achieving peak system operational performance is a journey that starts at plant design and is maintained through...

3C.3_Toback.pdf


Library Entry
Machine Learning to Facilitate District Energy System Optimization: A Pharmaceutical Case Study

Summary How do you effectively optimize cooling loads in district-scale energy systems? Current algorithm-based optimization solutions are effective, but they require site-specific customization. The ideal solution incorporates integrated machine learning, which enables algorithms to improve...

1C.2_Dempster.pdf


Library Entry
UT Austin Optimization Journey

Summary The story of how UT Austin built a first class operation with highest reliability, highest efficiency, and highest level of service. Speaker Michael Manoucheri, University of Texas-Austin Ben Erpelding, Optimum Energy #UniversityofTexasAustin #CampusEnergyConference ...

Wkshop2_8MANOUCHERIERPELDING.pdf


Library Entry
Finding energy saving opportunities on a large scale University Campus: How the University of Texas strategically selects energy optimization projects

Summary The University of Texas contains over 130 buildings. With so many buildings, where do you focus your energy? Learn how the University of Texas selects projects that optimize campus resources and maximize energy efficiency. We will explain how we select the best approach based on a...

2C.1_Berens_Erpelding_Isakson.pdf