Installation and Commissioning Automated Demand Response Systems Sila Kiliccote, Lawrence Berkeley National Laboratory
From 2003 through 2006 Lawrence Berkeley National Laboratory (LBNL) and the Demand Response Research Center (DRRC) developed and tested a series of demand response automation communications technologies known as Automated Demand Response (AutoDR). In 2007, LBNL worked with three investor-owned utilities to commercialize and implement AutoDR programs in their territories.
This presentation summarizes the history of technology development for AutoDR since 2003 and technologies and strategies that have been utilized by facilities. It also outlines the commercialization experience with PG&E including the various steps for technology installation, DR sheds achieved by various sites and results with three baseline methodologies. Emphasis is given to the lessons learned from installation and commissioning of AutoDR systems with detailed description the technical coordination concept as well as process and economics of utilizing this concept in 2007.
Wireless Demand Response Controls for HVAC Systems
Clifford Federspiel, Federspiel Controls
We developed and tested control software and wireless hardware that could enable closed-loop, zone-temperature-based demand response in buildings that have either pneumatic controls or legacy digital controls that cannot be used as part of a demand response automation system. We designed a SOAP client that is compatible with the Demand Response Automation Server (DRAS) being used by the IOUs in California for their CPP program, designed the DR control software, investigated the use of cellular routers for connecting to an AutoDR server, and tested the wireless DR system with an emulator running a calibrated model of a working building. The results show that the wireless DR system can shed approximately 1.5 Watts per design CFM on the design day in a hot, inland climate in California while keeping temperatures within the limits of ASHRAE Standard 55: Thermal Environmental Conditions for Human Occupancy.
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