Building Performance Optimization While Empowering Occupants Toward Environmentally Sustainable Behavior Through Continuous Monitoring and Diagnostics

Abstract

The objective of this project is to demonstrate that at least 30% of a DOD building's HVAC and plug load annual energy consumption can be saved through continuous diagnostics and controls, while empowering building stakeholders to engage in proactive energy-conservation and sustainable behaviors. The team deployed two distinct technologies during this demonstration project. The first technology, 'ID-F,' targets building facility managers and allows real time diagnostics for BAS systems with features like benchmarking, fault detection, and diagnostic or energy anomaly detection. The second technology, 'ID-O,' targets building occupants, allowing them to manage and control their electrical appliances and engage in more sustainable practices. The findings and performance assessments from the demonstration provide information that can help the DOD to reevaluate its building operation policies, practices and guidelines by engaging the whole military installation community, through easy-to-use and user-friendly interfaces that support preventative measures to ensure energy conservation and occupant comfort.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2016
Accession Number
AD1042901

Entities

People

  • Azizan Aziz
  • Bertrand Lasternas
  • Peter Winslow
  • Vivian Loftness

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Anomaly Detection
  • Buildings And Structures
  • Business Administration
  • Change Detection
  • Computers
  • Databases
  • Detection
  • Electricity Meters
  • Energy Conservation
  • Energy Consumption
  • Energy Efficiency
  • Energy Management
  • Greenhouse Effect
  • Greenhouse Gases
  • Load Monitoring
  • Management Personnel
  • Measurement

Fields of Study

  • Engineering

Readers

  • Distributed Systems and Data Platform Development
  • Energy Conservation and Renewable Energy Engineering.