Energy Performance Monitoring and Optimization System for DoD Campuses

摘要

A campus-scale building Energy Performance Monitoring and Optimization (EPMO) system prototype was designed, developed, implemented, and demonstrated. The EPMO system technology utilized robust algorithms for dynamic optimization of control schedules and analytical tools for diagnostics of building and district heating systems. The technology was implemented at the Naval Station Great Lakes in Illinois and demonstrated its robustness and scalability by reducing energy consumption by more than 20% and diagnosing faults with 85% probability of success averaged over multiple demonstration windows during the 2012-2013 heating season. The campus-scale EPMO system was implemented as a stand-alone software environment, comprising of control and diagnostic algorithms and performance visualization tools that interfaced directly with the Naval Station Great Lakes Building Management System. The key enabling technologies that were matured and demonstrated are: (1) Reduced-order dynamic models for the campus cooling plant, building and HVAC systems; (2) Optimal control algorithms for the district heating system integrated with on-line fault accommodation to dynamically update control inputs; and (3) Tools for on line energy performance visualization and automated detection, isolation and prioritization of faults that impact performance adversely.