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Towards a Building-wide Intergrated Operating System

Generation. Towards a Building-wide Intergrated Operating System. Transmission. Distribution. Load. Electric Grid. Activity Models. David Culler, Jorge Ortiz, et al. Physical Models. BIM. Goals and Challenges. Model-driven First principle, physics-based Data-driven, feature-based

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Towards a Building-wide Intergrated Operating System

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  1. Generation Towards a Building-wide Intergrated Operating System Transmission Distribution Load Electric Grid Activity Models David Culler, Jorge Ortiz, et al Physical Models BIM Goals and Challenges • Model-driven • First principle, physics-based • Data-driven, feature-based • Integration of large number of heterogeneous sensors and actuators • Sensor, Information-rich environments • Discovery, tasking, collection, storage, modeling and machine learning, visualization, on/offline decision making • Policy expression (user input) • Interpretation and management of physical resources with respect to high-level policies • Security and privacy • Fault-detection • Isolation • Recovery Bldg Models Building-wide Distributed Operating System User Info Bus External Info Bus Forecasting Modeling Trending Planning Environmental Control Schedule Bldg ITS Repository Diagnostics Service i/f Service i/f Service i/f Safe Embedded Exec. Environment Safe Embedded Exec. Environment Safe Embedded Exec. Environment Physical Information Bus Driver Driver Driver Comm Comm Comm adapter Legacy BMS Actuator Sensor adapter Legacy SCADA Points Legacy Device Air Cooling Tower Reheater Return Air Vent Condenser Pump • Individual building as part of larger LoCal Grid network • IPSes inside building • External negotiation for power through IPS • BIOS/IPS integration • Management of user policies and IPS policies • Load shifting/shedding working in concert with grid Water Condenser Chiller Compressor Damper Expansion Valve Refrigerant Evaporator Air Vent Zone Chilled Water Pump Major Eqmt Supply Air Fan Air Conditioner Air Handling Unit Exhaust Air Fan Electrical Distribution Tree Building Environmental Manufacturing Infrastructure • Static, model-driven commissioning • Building Management Systems (BMS) • Set-point driven control scheme • Temperature, pressure, flow rates, motor speeds, louver positions • Set-points maintained at control points • Foregoes closed-loop feedback and dynamic modeling • Building viewed as fixed structure • 40% of Energy Consumed in Buildings • 72% of Electricity, 38% carbon emissions • Much of energy consumed in wasted • EPA shows 30% can saved with more intelligence • Challenge: Intelligence layering should minimize energy consumption, environmental cost • While occupant productivity is maximized

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