Case Study: CalTestBed achieves up to 80% total cost reduction with Xendee's OPERATE MPC

CalTestBed - Customer Case Study

The customer, the California Test Bed Initiative (CalTestBed), sought to accelerate clean energy innovations toward commercialization. They required a sophisticated control system to optimize microgrid performance for their testing program, a challenge they addressed with Xendee and its OPERATE Model Predictive Controller (MPC).

Xendee implemented its MPC to conduct a series of closed-loop microgrid calibration tests. The solution utilized a patent-pending demand charge reduction algorithm and REST/JSON communication protocols to integrate with the site's energy management system. These efforts resulted in a dramatic total cost reduction of up to 80% for CalTestBed. The tests specifically demonstrated that Xendee's innovative methodology was able to increase MPC performance by 17% in total energy costs and flatten daily demand to just 30% of the reference case.

CalTestBed