A Wireless Platform for Energy Efficient Building Control Retrofits

Abstract

An advanced energy management and control system in an existing building in the Construction and Engineering Research Laboratory (CERL) for Army at Urbana-Champaign (IL) was demonstrated. The medium-size office building underwent a retrofit of the HVAC system and controls employing a technology called optimal Model Predictive Control (MPC) which offers significant potential for saving energy by providing a means to dynamically optimize various sub-systems to take advantage of building utilization and weather patterns, and utility rate structures. A multi-variable optimization problem to minimize energy consumption and cost while guaranteeing zonal comfort over a 3 hour predictive horizon was formulated and solved periodically on line. The algorithms were integrated with the building automation system and evaluated experimentally at the demonstration site. A 45-50% reduction in HVAC system energy use was demonstrated while improving occupant comfort. A 10-15% installation cost reduction was accomplished due to the use of a robust wireless sensor network versus a fully wired network.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2012
Accession Number
ADA571862

Entities

People

  • Draguna Vrabie
  • Kenneth Woodworth
  • Russell Taylor
  • Satish Narayanan
  • Shui Yuan
  • Sorin Bengea
  • Stephen Killough
  • Teja Kuruganti
  • Wayne Manges
  • Yiqing Lin

Organizations

  • United Technologies Corporation

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Analyzers
  • Computer Networks
  • Control Systems
  • Detection
  • Detectors
  • Electric Power
  • Electricity Meters
  • Electronic Mail
  • Energy Consumption
  • Frequency Bands
  • Measurement
  • Model Predictive Control
  • Organizational Structure
  • Sensor Networks
  • Warning Systems
  • Wireless Communications
  • Wireless Sensor Networks

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Facility/Structural Engineering.
  • Robotics and Automation.