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trial & Engineering Chemistry Research - Modeling the High-Pressure AmmoniaWater System with WATAM and the PengRobinson Equation of State for Kalina Cycle Studies

/pubs.acs.org/doi/pdf/10.1021/ie970638s[27/03/2015 05:21:45 ]

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Modeling the High-Pressure AmmoniaWater System with WATAM and

the PengRobinson Equation of State for Kalina Cycle Studies

Robert M. Enick,*Glenn P. Donahey , and Mike Holsinger

Department of Chemical and Petroleum Engineering, 1249 Benedum Engineering Hall, University ofPittsburgh, Pittsburgh, Pennsylvania 15261

nd. Eng. Chem. Res., 1998, 37(5), pp 16441650

DOI: 10.1021/ie970638s

Publication Date (Web): March 19, 1998

Copyright 1998 American Chemical Society

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Enick, Robert M. Search

Published In Issue: May 04, 1998

Received for review September 10, 19

Revised manuscript received Decembe

1997

Section: Unit Operations and

Processes

The Kalina power cycle uses an ammoniawater mixture as the working fluid in the 283866 K

temperature range and at pressures up to 22 MPa. Modeling of these cycles, typically

accomplished with a process simulator, requires accurate descriptions of the phase behavior

of this binary. Therefore 58 previously published Pxyisotherms in the 203618 K temperature

range were used to evaluate the predictive capabilities of the PengRobinson (PR) equation of

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7/21/2019 Industrial & Engineering Chemistry Research - Modeling the High-Pressure Amm

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trial & Engineering Chemistry Research - Modeling the High-Pressure AmmoniaWater System with WATAM and the PengRobinson Equation of State for Kalina Cycle Studies

/pubs.acs.org/doi/pdf/10.1021/ie970638s[27/03/2015 05:21:45 ]

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Accepted January 5, 1998state (EOS) and WATAM. WATAM provided a much better correlation of saturated liquid

densities than the PR EOS. Although both models adequately correlated liquid phase

compositions, WATAM provided a better fit of the near-critical vapor phase data. The Peng

Robinson EOS consistently overestimated the mixture critical pressures. Several correlations,

based on different objective functions, for the temperature-dependent binary interaction

parameter were developed. Slight improvements in the predictive capabilities of the PR EOS

were realized using the Panagiotopolous and Reid composition-dependent mixing rule, which

required two temperature-dependent parameters. Temperature-dependent correlations for

each parameter were regressed from PTxydata. Guidelines for using the PR EOS in a

process simulator to model Kalina cycles were developed.

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201358(5), 1354-1360

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