Development and Use of the Coal-Fired Central Energy Plant Operations Expert System (CEPES)

Abstract

Rising operation and maintenance (O&M) costs of central heating plants have forced the Army to seek alternative methods of running these facilities. Computer technology offers a great potential to automate and assist in many O&M tasks by helping to diagnose equipment malfunctions and failures. An automated diagnostic tool for coal-fired central heating plant equipment could reduce the demand for human labor, freeing personnel for higher priority work; reduce downtime for repair; promote thermal efficiency; and improve online reliability. In this phase of the study, researchers began development of the Coal-Fired Central Energy Plant Operations Expert System (CEPES), which analyzes and recommends solutions to coal-fired boiler operational problems. This phase included selection of the hardware and software platforms, and development and coding of the expert system. Later phases will expand and beta test the present system, and develop a comprehensive technology transfer plan. Central heating plants, Artificial intelligence, Coal-fired energy plant operations expert system (CEPES).

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1993
Accession Number
ADA273216

Entities

People

  • Madhavi Kantamnemi
  • Ralph Moshage
  • Robert Lorand
  • Todd Blindt
  • Tony Magliero

Organizations

  • Construction Engineering Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Application Software
  • Artificial Intelligence
  • Beta Testing
  • Computer Languages
  • Computer Program Reliability
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Control Systems
  • Debugging
  • Engineers
  • Expert Systems
  • Feed Water
  • Operating Systems
  • Programming Languages
  • Software Development

Fields of Study

  • Engineering

Readers

  • Energy Conservation and Renewable Energy Engineering.
  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy