Collecting Cost and Performance Data on Army New Air Pollution Control Equipment.

Abstract

This report outlines procedures for collecting data to conduct an air pollution control equipment cost analysis. It considers data in two basic categories: (1) data which can be collected automatically, such as power and water consumption, and (2) data which must be collected manually, such as labor and spare parts demands. The automatically collectable data are broken down into three types: (1) direct cost data (consumptions), (2) operations data (collection efficiency, gas flow rate, and (3) performance data (availability, reliability). The systems presently available for extracting and handling these data are described and compared. These systems range from simple strip chart recorders to complex telemetry units. Criteria for choosing the appropriate system for a given cost study are given. Two systems for collecting data manually are discussed: (1) a log system and (2) a cost code system which would be compatible with the Z accounting system for operations and maintenance of Army facilities. Specific parameters to be monitored for particular types of air pollution control systems are recommended. The usefulness of the data and the way in which they should be used are also discussed.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1977
Accession Number
ADA043171

Entities

People

  • S. R. Struss
  • W. J. Mikucki

Organizations

  • Construction Engineering Research Laboratory

Tags

Communities of Interest

  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Air Pollution
  • Air Pollution Control Equipment
  • Air Pollution Control Systems
  • Army Facilities
  • Control Systems
  • Cost Analysis
  • Energy Conservation
  • Energy Consumption
  • Engineering
  • Engineers
  • Flow Rate
  • Flue Gases
  • Gas Flow
  • Gases
  • Maintenance
  • Recording Systems
  • Scrubbers

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Energy Conservation and Renewable Energy Engineering.
  • Life Cycle Cost Analysis