• Lower peak demand by 2 MW, allowing the entire plant to stay within load capacity of the existing combined heat and power (CHP) plant;
   
• Avoid spot purchasing of power from the utility;
   
• Assure reliable grid power;
   
• Provide kWh savings every day of year with a simple payback of under two years; and
   
• Avoid thousands of dollars in demand charges associated with coincident peak days.

Continuing to have the ability to produce 100% of its power with its combined heat and power systems was a priority for TECO. Reducing peak demand by 2 MW gave TECO time to develop a new master plan for the site and determine the exact timing and path forward for adding power production capacity. It also satisfied TECO’s persistent mission to continually improve operational excellence while maintaining its historical reliability and resiliency.   

The team, made up of engineers from TECO, Optimum Energy, and Toshiba, deployed the OptimumLOOP® optimization solution safely during the COVID-19 pandemic in less than eight months so TECO could achieve the needed efficiency gains prior to summer. The Texas electric grid operator, Electric Reliability Council of Texas (ERCOT) records each user’s peak usage from June through September to set the next year’s demand charge. The solution focused on condenser-side optimization algorithms as well as a new optimized chiller-staging methodology.  

“Part of my interest in this project was to reduce electrical consumption,” said Jason Berrio, vice president of plant operations, TECO. “That’s money that can be applied to other uses. This solution helps us be smart, energy conscious, and run the right equipment at the right set points.”

Over the first seven months of optimization (June to December 2020), the project saved nearly 10.5 million kWh and reduced energy consumption by 6%, providing an estimated cost savings of $356,000. In addition to saving kilowatts every day regardless of the season, TECO can keep the entire plant within its existing CHP capacity.  

The Challenge: Further Optimize an Already Well-Optimized, Highly Reliable System

The system’s two interconnected plants house 27 chillers and seven boilers that pipe chilled water and steam to 23.7 million square feet — much of it for highly controlled environments — in 50 buildings composing 17 institutions. With 120,000 tons of firm capacity, 350 million-plus ton-hours per year of annual load, and a 2020 peak load of 78,600 tons, TECO’s power demand had grown enough to push the plant over the existing CHP’s capacity. 

TECO has logged 100% reliability — with no unplanned outages — since 1992, so the optimization project was aimed at cost-effectively maintaining that reliability while meeting load growth. With a cancer center, a children’s hospital, two Level I trauma centers, and research facilities as customers, the reliability of TECO’s cooling supply is of the utmost importance. 

“It is critical to our customers that we maintain reliable thermal services,” said Mike Manoucheri, vice president of engineering and maintenance, TECO. “One key aspect of that is for TECO to be able to produce 100% of the plant electrical load to continually cool the medical campus in case of loss of utility power. We had to look at ways to improve efficiency to buy time before adding capacity — and do it as cost-effectively and reliably as possible.”

The Solution: Optimization Plus Business Continuity Services  

Optimum Energy calculated that the optimization project would free up 2.1 MW of peak power, save 14.7 million kWh per year of energy, and have a 1.9-year simple payback.      

As part of the optimization project, TECO also integrated the Optimum Energy Plant Diagnostics tool into its work processes, which helps maintain business continuity. While TECO engineers have always collected vast amounts of monitoring data, Optimum’s data rationalization and diagnostics enable the team to dive deeply into their vast assets and identify otherwise unseen opportunities to increase reliability and efficiencies. They can also better prioritize maintenance efforts and tackle less obvious, high-impact actions to take in ongoing efforts to optimize all the equipment. 

“The monthly analytics reports are very valuable,” said Manoucheri. “They give us insights into potential problems with our machines — starting with overall efficiencies and then diving deeper into the details with things like approach temperature degradation on the chillers. We are also looking at how all that information trends over time — combined with Optimum’s experience from other sites, we get a different set of eyes and experience to help drill down into what the machines are telling us.” 

Results

With the additional capacity, efficiencies, and insights the Optimum Energy solution provides, TECO is on track to save more than $500,000 in the first year, and it can delay multimillion-dollar capital expenditures to expand electrical generation capacity for at least several years. The system is performing with more consistent operating procedures over all shifts, which is also key to improving long-term reliability.  

“The collaboration between Optimum Energy and TECO has allowed us to accommodate load growth without adding capital equipment,” said Steve Swinson, CEO, TECO. “This is always the first choice, and the efficiency gains provide savings every day of the year. This is a win-win for Optimum Energy, TECO, and TECO’s customers.”

Project Notes

The Texas Medical Center — 23.7 million square feet of conditioned space in 50 buildings across 17 institutions

Cooling capacity: 120,170 tons

Annual chilled water production (2019): 345.1 million ton-hours

Benefits

• Improved business continuity;
• Enhanced maintenance prioritization;
• Energy savings;
• Electrical demand reduction;
• Cost savings; and
• CO2 emissions reduction.

Plant efficiency improvement

6%

Utility savings 

Electrical energy savings: 14.6 million kWh/year
Electrical demand reduction: 2,112 kW
CO2 emissions reductions: 21.1 million pounds/year

Financial savings

Annual operations costs: $509,000
Simple payback: 1.9 years