Griffin Open Systems

Power generation

Since 2013, Griffin Open Systems and its partners have been installing rule-based and model-based systems that work with operators and with the control systems already in the plant. The work is to fine-tune and optimize power plant operation. The Griffin AI platform and the Adivarent Control® approach have helped customers avoid hundreds of millions of dollars in capital cost, and save millions of dollars in material cost.

Contact us to talk about meeting requirements and improving performance on a specific unit.

Combustion optimization

Combustion is complex, and controlling it can look daunting. Griffin’s Combustion Optimization System (COS) uses advanced AI to build a specialized, accurate model of each unit so the plant can reduce emissions, improve heat rate, and meet other process objectives. Installed systems have shown heat-rate gains of 0.5% to 1% and emission reductions of more than 20%.

Read how COS works · Combustion optimization brief (PDF)

Mercury PAC optimization

Powdered activated carbon (PAC) injection removes mercury from combustion gas, and it is expensive. It can also hurt other parts of the combustion system, especially stack opacity. Griffin’s Hg PAC application weighs those objectives in real time so the unit keeps a high mercury-removal rate while using less PAC.

Read how PAC optimization works · Hg PAC brief (PDF)

Knowledge-based sootblowing

How soot is managed changes the performance of a combustion process. Griffin’s Knowledge-Based Sootblowing (KSB) system combines custom rule-based logic with artificial intelligence so each blower can be run for the condition the unit is actually in.

Read how KSB works · Sootblowing brief (PDF)

Cooling tower optimization

Fan-draft cooling towers can use a large amount of auxiliary power. Multi-cell towers are often run as if every cell behaved the same way, which adds cost. Griffin’s cooling tower application uses the real behavior of each cell to set individual fan speeds in real time. Plants have cut fan power by 5% or more without giving up cooling performance.

Read how cooling tower optimization works · Cooling tower brief (PDF)

Bring a unit, a constraint, and an engineer who knows both.

We will tell you whether a Griffin application is the right next step—and what I/O and time it would take.

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