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4th Annual Chena Renewable Energy Fair

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4th Annual Chena Renewable Energy Fair ( 4th-annual-chena-renewable-energy-fair )

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Energy Savings Potential: Significant reduction in lighting and HVAC energy use through the use of occupancy sensor-based controls in applications that are not currently utilizing occupancy sensor-based controls or applications that have disabled the current occupancy sensor-based controls due to the high failure rates of the given application. Potential Commercialization Date: Fourth Quarter 2012 Contact information: Larry Brackney, 303-384-7443, larry.brackney@nrel.gov Demonstration Potential: 5 The demonstration potential for this technology was ranked high based on the novel approach to occupancy sensor based control that has a general applicability to a number of building control functions. In addition, this type of technology will need to be fully vetted through a number of field demonstrations to prove its effectiveness, ease of integration, and overall life-cycle cost effectiveness. Opportunity #3 - Building-Wide, Proactive Energy Management Systems for High- Performance Buildings Advances in energy management systems are needed to achieve energy savings beyond the current 30% whole-building energy savings targets. A new multi-year project was developed to build a proactive energy management system that has the ability to exploit next-generation sensing technology. This system will use adaptive building-wide predictive models to forecast interactions between zonal energy consumption, ambient conditions, prices, and distributed occupant trends. The project will deploy cost-effective, next-generation sensors (occupancy, thermometry, etc.). In addition, the energy management system will be deployed using state-of- the-art optimization algorithms and personal computers. A recent DOE BTP award to Johnson Controls funds work to develop a proof-of-concept interface with utility providers to react to demand response pricing. Ongoing work at Argonne National Laboratory and NREL complements that work by extending it into a proactive, multi- dimensional optimization space with additional variables of weather and occupancy. The perceived computational complexity of building-wide energy management systems limits their industrial deployment. This fundamental research will push “smart building” concepts by creating a closer connection between the occupants, their working space, and the energy management system. The use of proactive systems can substantially improve energy savings, occupant comfort, and responsiveness. The system will use models constructed automatically using basic building topology and sensor data and fast optimization algorithms to enable implementations in standard computers. Applicable DOD Market: All commercial DOD buildings with operational BASs that are currently served by utilities that have a significant peak demand pricing rate structures. 174

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