Industrial heat pumps are complex, capital-intensive systems expected to deliver reliable performance at high temperatures. By using AI, operators can design more effectively, run systems more efficiently, and cut wasted electricity, cost, and frustration.

A new study shows how artificial intelligence (AI) can accurately predict the performance of the Stirling-cycle industrial heat pump, improving efficiency, reducing costs and energy waste.

Jacob brings leadership experience from Siemens wind and energy-infrastructure operations across the Americas, Canada, including Siemens Gamesa, and Vattenfall Denmark.