Demonstration of a Building Automation System Embedded Performance Degradation Detector Using Virtual Water/Air Flow Meters

Abstract

The goal of this demonstration project was to improve the energy efficiency of DoD buildings while maintaining or improving indoor air quality by increasing the intelligence of building energy management using virtual flow meter technologies. Specifically, the technical objectives were to: 1) Validate energy savings, costs and benefits of the proposed technologies; 2) Document findings and guidelines from the demonstration to promote low-cost virtual meter implementation through the existing DoD energy meter policies and encourage widespread adoptionof the Building automation system (BAS)-embedded PDD, and 3) Enable technology transfer through the demonstration by showcasing benefits of the technology. The demonstration involved validation of 43 virtual fan/valve/pump flow meters. Of these, 40 meters (93 ) had errors of less than 1.2 at 95 confidence. The average annual total cost savings was $74,629 based on the lumped utility rate of $0.0522/kWh and $4.02/MMBtu, i.e., 15 annual energy cost. It is worth mentioning that the demonstration building is a LEED certified new clinic building.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2018
Accession Number
AD1084264

Entities

People

  • Gang Wang
  • Li Song
  • Mike Brambley

Organizations

  • University of Oklahoma

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force Facilities
  • Control Systems
  • Detectors
  • Electricity Meters
  • Energy Conservation
  • Energy Consumption
  • Energy Efficiency
  • Energy Management
  • Environment
  • Flow Rate
  • Greenhouse Effect
  • Greenhouse Gases
  • Measurement
  • Natural Gas
  • Statistical Analysis
  • Technology Transfer

Fields of Study

  • Engineering

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Energy Conservation and Renewable Energy Engineering.
  • Software Engineering