Central Plant Optimization for Waste Energy Reduction (CPOWER)

Abstract

A system-level, dynamic optimization of central plants and distribution system project has the potential to save energy and cost. To assess the energy and economic benefits of the real-time optimization technology, the project team demonstrated central plant operation with optimized control at Fort Bragg. The team implemented the optimization software by connecting it with local plant control to enable real time optimization based on current state of the plant, load and weather conditions. The technology deployed is a model-predictive run-time optimization technology to operate the generation, storage, and distribution of cooling and heating energy, while maintaining building comfort. The models are set up based on historical data and updated as new data becomes available. The optimal control commands are communicated to lower level controllers that operate the equipment in the central plant. The testing period produced energy consumption and other measurements for optimized control periods and original control periods. The analysis of the data and the issues encountered are presented in this report.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2016
Accession Number
AD1025159

Entities

People

  • Girija Parthasarathy

Organizations

  • Honeywell International, Inc.

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Business Administration
  • Climate Change Adaptation
  • Control Systems
  • Detectors
  • Digital Communications
  • Energy Conservation
  • Energy Consumption
  • Energy Management
  • Energy Production
  • Greenhouse Effect
  • Greenhouse Gases
  • Load Monitoring
  • Management Personnel
  • Measurement
  • Operating Systems
  • Organizational Structure
  • Performance Tests

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Electrical Engineering
  • Energy Conservation and Renewable Energy Engineering.