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Published (Version of record)CC BY V4.0, Open Access
Published (Version of record)CC BY V4.0, Open
Journal article
A Simple Method to Estimate Entropy and Free Energy of Atmospheric Gases from Their Action
Entropy (Basel, Switzerland), Vol.21(5), 454
01/05/2019
PMID: 33267168
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Abstract
A convenient practical model for accurately estimating the total entropy (sigma S-i) of atmospheric gases based on physical action is proposed. This realistic approach is fully consistent with statistical mechanics, but reinterprets its partition functions as measures of translational, rotational, and vibrational action or quantum states, to estimate the entropy. With all kinds of molecular action expressed as logarithmic functions, the total heat required for warming a chemical system from 0 K (sigma SiT) to a given temperature and pressure can be computed, yielding results identical with published experimental third law values of entropy. All thermodynamic properties of gases including entropy, enthalpy, Gibbs energy, and Helmholtz energy are directly estimated using simple algorithms based on simple molecular and physical properties, without resource to tables of standard values; both free energies are measures of quantum field states and of minimal statistical degeneracy, decreasing with temperature and declining density. We propose that this more realistic approach has heuristic value for thermodynamic computation of atmospheric profiles, based on steady state heat flows equilibrating with gravity. Potentially, this application of an action principle can provide better understanding of emergent properties of many natural or evolving complex systems, including modelling of predictions for global warming.
Details
- Title
- A Simple Method to Estimate Entropy and Free Energy of Atmospheric Gases from Their Action
- Creators
- Ivan Kennedy - University of SydneyHarold Geering - QuickTest Technologies (Sydney, NSW)Michael Rose - NSW Department of Primary IndustriesAngus Crossan - QuickTest Technologies (Sydney, NSW)
- Publication Details
- Entropy (Basel, Switzerland), Vol.21(5), 454
- Publisher
- Mdpi
- Number of pages
- 24
- Grant note
- University of Sydney
- Identifiers
- 991013126106802368
- Copyright
- © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Journal article