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Reducing Peak Load on Campus: Distributed Intelligent Automated Demand Response in Sutardja Dai Hall, Nov 18

Live broadcast at

. Questions can be sent via Yahoo IM to username: citrisevents. The complete schedule for the fall semester is online at

. All talks may be viewed on our

Webviewing at UC Davis: 1065 Kemper Hall

Webviewing at UC Merced: SE1 100

Webviewing at UC Santa Cruz: SOE E2 Building, Room 506

Abstract:

The Distributed Intelligent Automated Demand Response (DIADR) management system has intelligent optimization and control algorithms for demand management, taking into account many factors affecting cost: comfort, HVAC, lighting, and other building systems, climate, and usage/occupancy patterns.

The goal of the two year project is to demonstrate an innovative DR management system on a typical commercial building to achieve 30% demand reduction while still maintaining the building as a healthy, productive, and comfortable environment for the building occupants. In addition to centralized building energy management, this project features distributed intelligent control via various load control gateways that manage end devices, such as computers, printers, and task lighting.

The selected building, Sutardja Dai Hall on the UC Berkeley campus, is a relatively new building (opened Feb 2009) and houses the Center for Information Technology Research in the Interest of Society (CITRIS) and the Banatao Institute@CITRIS Berkeley. This building has a Siemens Apogee Building Automation System and WattStopper lighting system. Progress thus far has been

. Outlining the functional requirements

. Development, installation and demonstration of the Siemens Smart Energy Box (SEB) to receive demand response signals from the Demand Response

Automated Server (DRAS) at LBNL and automatically generate a DR response (thermostat setpoint change) in the test office.

. Developing and testing the Service Oriented Architecture (distributed load control gateway)

. Developing and simulating central and distributed load control algorithms.