HVAC SYSTEM FAULT DIAGNOSIS AND ENERGY OPTIMIZATION USING STATE SPACE METHODS AND MODERN CONTROL THEORY

RECENT EXPERIENCE WITH ENERGY MANAGEMENT CONTROL SYSTEMS (ECMS) FOR HEATING, VENTILATING AND AIR CONDITIONING (HVAC) EQUIPMENT IN LARGE COMMERCIAL BUILDINGS SHOWS SIGNIFICANT LOSSES OF ENERGY DUE TO TEMPERATURE SENSOR DRIFTS AND LACK OF EXPERIENCE ON THE PART OF THE OPERATORS. MODERN CONTROL ESTIMATION AND IDENTIFICATION THEORY OFFERS SEVERAL PROMISING TECHNIQUES FOR ADDRESSING THESE PROBLEMS. METHODSARE PROPOSED FOR SENSOR, ACTUATOR AND PROCESS MALFUNCTION DETECTION AND DIAGNOSIS USING SYSTEM IDENTIFICATION, KALMAN FILTERING AND SEQUENTIAL PROBABILITY RATIO TESTS. THE GLOBAL ENERGY OPTIMIZATION PROBLEM FOR BUILDINGS IS ADDRESSED FROM A HIERARCHICAL CONTROL POINT OF VIEW AND AN OVERALL CONCEPTUAL APROACH IS DEVELOPED FOR ITS SOLUTION IS DEVELOPED.