Energy conservation through microprocessor-based control. Final report

A special microprocessor-based energy management system (EMS) was installed at the Embers Restaurant in Denison, Texas. This EMS was reprogrammed as necessary to implement the various demand limiting algorithms that were tested. The results of these tests indicated that simplistic approaches to demand limiting were ineffective or unacceptable to the building operators. The final algorithm utilized contained a predictive slope sensitive algorithm that made use of varying averaging times to overcome some of the characteristics of restaurant loads. The conclusions were that a statistical demand profile can be effectively used, the characteristics of common demand limiters are in need of improvement, and the characteristics of many restaurant loads present a special problem to demand limiting algorithms.