Armstrong’s OPTI-POINT, self-learning optimization technology, reduces energy consumption up to 50%

Armstrong Fluid Technology has launched OPTI-POINT, a self-learning optimization technology that enables Active Performance Management by creating a digital twin of a mechanical system and learning its operating characteristics in real-time.

OPTI-POINT optimizes system efficiency and reduces energy consumption by as much as 50% compared to traditional system designs. It also safeguards system optimization by addressing mechanical drift and performance degradation. Employing predictive diagnostics and condition-based maintenance, OPTI-POINT minimizes plant operating costs.

Peter Thomsen, director, Building Systems Solutions with Armstrong explains, “OPTI-POINT creates a new understanding of how we can reduce construction costs and find remarkable operating savings. With OPTI-POINT, developers and contractors can save over $3 per sq. ft. on the construction costs for commercial buildings, and building owners can reduce annual ownership costs by 45 cents per sqft.”