Computation of Equilibrium Partial Vapor Pressures of Aqueous Ammonia Solutions

Abstract

This report evaluates all available vapor-liquid equilibria (VLE) data from low-to-moderate pressures over the normal liquid water temperature range for the highly non-ideal aqueous ammonia solutions spanning nearly a century. The evaluation relies on all complete VLE data comprised of pressure-temperature-liquid and vapor compositions published over the last century to develop a temperature dependent model for the coefficients of the Wilson equation. The computations derived from the temperature dependent model are described by means of the program flowcharts and listings. Graphs of computed minima of the "best" Wilson coefficient pairs illustrate the statistical analysis of the experimental data. Tables of calculated deviations for three sets of Wilson coefficients corresponding to the individual and combined data sets demonstrate the utility of the model equations. Excellent agreement between the experimental and calculated liquid and vapor compositions is found for all but two data sets over the region of rapidly changing vapor composition up to 90 mole % of ammonia. This temperature dependent Wilson model offers a succinct representation of 100 years of what appear to be disparate pressure- temperature-composition VLE data.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2000
Accession Number
ADA380581

Entities

People

  • Paul E. Field
  • Roger J. Combs

Organizations

  • Edgewood Chemical Biological Center

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Agreements
  • Basic Programming Language
  • Coefficients
  • Computations
  • Computer Programming
  • Computer Programs
  • Data Science
  • Data Sets
  • Equations
  • Experimental Data
  • Free Energy
  • Partial Pressure
  • Pressure Measurement
  • Statistical Analysis
  • Statistics
  • Vapor Pressure
  • Volatile Organic Compounds

Readers

  • Combustion science or combustion engineering.
  • Computational Modeling and Simulation