Experimental Optimization of Cooling Tower Fan Control Based on Field Data

Abstract

Energy costs continue to play an important role in the decision- making process for building design and operation. Since the chiller, cooling tower fans, and associated pumps consume the largest fraction of energy in a heating, ventilating, and air-conditioning (HVAC) system, the control of these components is of major importance in determining building energy use. A significant control parameter for the chilled water system is the minimum entering condenser water set point temperature at which the cooling tower fans are cycled on and off, several studies have attempted to determine the optimum value for this minimum set point temperature, but direct measurements are not available to validate these studies. The purpose of this study was to experimentally determine the optimum minimum entering condenser water set point temperature from field data based on minimum energy consumption and to validate a chilled water system analytical model previously developed in earlier work. The total chiller system electrical consumption (chiller and cooling tower fan energy) was measured for four entering condensor water set point temperatures (70, 75, 80, and 85 deg F). The field results were compared to results obtained using an analytical model previously developed in a thesis entitled Optimized Design of a Commercial Building Chiller/Cooling Tower System, written by Joyce.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1991
Accession Number
ADA239333

Entities

People

  • David L. Herman

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Air Conditioning
  • Air Flow
  • Air Force
  • Compressors
  • Cooling Towers
  • Data Acquisition
  • Differential Equations
  • Energy
  • Energy Consumption
  • Energy Management
  • Experimental Data
  • Heat Energy
  • Heat Transfer
  • Measurement
  • Statistical Analysis
  • Thermodynamics
  • Wet Bulb Temperature

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Energy Conservation and Renewable Energy Engineering.
  • Thermal Physics or Thermal Science.