Accession Number:

ADA600343

Title:

Scalable Deployment of Advanced Building Energy Management Systems

Descriptive Note:

Final rept.

Corporate Author:

UNITED TECHNOLOGIES RESEARCH CENTER EAST HARTFORD CT

Report Date:

2013-05-01

Pagination or Media Count:

186.0

Abstract:

The United Technologies Research Center UTRC1, with the sponsorship from DoD ESTCP program, has performed a demonstration of an advanced Building Energy Management System aBEMS that employs advanced methods of whole-building performance monitoring combined with statistical learning methods and data analysis to enable identification of both gradual and discrete performance erosion and faults. The specific technical objectives of the demonstration project were 1 to demonstrate 10 building energy savings by providing the facility engineers with actionable energy fault information to identify and correct poor system performance, and 2 to demonstrate an additional 10 energy savings by identifying alternative energy system operation strategies that improve building energy performance. The demonstrated technology is targeted at commercial buildings that use building energy management systems. The demonstration was conducted in a drill halloffice building Building 7230 and a large barracks facility Building 71137114 at Naval Station Great Lakes. At Great Lakes, greater than 20 savings were demonstrated for building energy consumption by improving facility manager decision support to diagnose energy faults and prioritize alternative, energy efficient operation strategies. The advanced building energy management system assimilated data from multiple sources including blueprints, reduced-order models ROM and measurements, and employed probabilistic graphical models and other advanced statistical learning algorithms to identify patterns of anomalies. The results were presented graphically in a manner understandable to a facilities manager. The system incorporated learning algorithms and simplified reduced-order simulation models to circumvent the need to manually construct and maintain a detailed building energy simulation model.

Subject Categories:

  • Non-electrical Energy Conversion
  • Air Conditioning, Heating, Lighting and Ventilating

Distribution Statement:

APPROVED FOR PUBLIC RELEASE