Case Study

Constitution Health Plaza Minimizes HVAC Energy Consumption with Beacon

Medical campus uses machine learning (ML) to optimize cooling efficiency.
Whitepaper Cover
15
% Annual Operating Cost Savings

Overview

Constitution Health Plaza is a 6-story, multi-purpose medical campus located in South Philadelphia. It is situated on one square block (3.5 acres), comprises four buildings, and runs its cooling system through a central chiller plant.  

The facility was originally built in 1920 and underwent new construction in 2012, bringing the total square footage to over 400,000. More than 1.5 million patients come to Constitution Health Plaza for their healthcare needs each year.

THE Challenge

Hospitals and medical care facilities are critically dependent on their HVAC systems to ensure healthy and safe operations, as well as comfort for staff and patients. They must also comply with ASHRAE Standard 170, which requires adherence to specific ventilation system designs for individual rooms based on their purpose. 

With many maintaining 24/7 operations, it’s not hard to believe healthcare facilities consume nearly 10% of the total energy used by commercial buildings in the U.S. That amounts to more than $8 billion in operating spend annually. As a result of their massive energy requirements, healthcare systems are responsible for 8.5% of the United States’ greenhouse gas emissions.

Alongside our partner Ecosave, a leading energy service company, Tagup approached the Constitution Health Plaza team to explain the significant economic and environmental savings they could realize by optimizing their cooling operations. 

Location
Philadelphia, PA
Control system
Automated Logic
Total square footage
Over 400,000
HVAC equipment
Trane Chillers, Marion Pumps

THE SOLUTION

Like most commercial buildings, Constitution Health Plaza's cooling system controls were fixed, which means significant savings opportunities were being missed. Systems with a fixed set point control strategy essentially ignore the multitude of factors (internal and external to the building) that impact cooling system performance, whereas a modern AI optimization strategy can operate the system dynamically.

The deployment was quick and seamless and the savings were immediate. The results have been independently verified and have helped reduce the building’s net operating expenses and emissions. Tagup has been great to work with and we are working on deploying their technology at other buildings.
Jay Handmer
Jay Handmer
Director of Utility Management Services, CMVP, Ecosave

Beacon, Tagup’s machine learning software for optimization, improves building efficiency by automating the complex task of optimizing interconnected HVAC systems. This AI-driven approach allows for frequent, automated setpoint adjustments that maximize efficiencies.

THE SUCCESS

Cost over time for different control scenarios at Constitution Health Plaza

In its first nine weeks of operation, Beacon reduced energy consumption by 38,000 kWh. This represents 12% of the total energy consumption of the chiller, pumps, and cooling towers, covering the total cost of installation in the first month alone. Beacon will save Constitution Health Plaza 15% of its cooling operating costs in the first year, with results improving over time.

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