Central plants contain multiple chiller, boiler, and auxiliary equipment. Each piece of equipment operates on different efficiency curves that vary with part load, ambient conditions, and other operating parameters. In addition, the site receives real-time price signals for electricity, and operators must consider fluctuating fuel prices and other costs. The system-level, dynamic optimization of central plants and distribution system implemented in this project has the potential to save energy and cost. The objective of the project was to assess the energy and economic benefits of the real-time optimization technology that commands all equipment in a central plant.