A unified correlation for estimating specific chemical exergy of solid and liquid fuels

Guohui Song, Jun Xiao, Hao Zhao, Laihong Shen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

174 Citations (Scopus)

Abstract

This paper presents a unified simple correlation for estimating specific chemical exergy of solid and liquid fuels on dry basis. The specific chemical exergy of a dry fuel was split into two contributions: chemical of exergies of organic matter and inorganic matter, respectively. To estimate chemical exergy of organic matter, a correlation for estimating standard entropy of organic matter of solid and liquid fuels was derived using 162 data points. A system of linear equations for estimating the numbers of moles of selected inorganic compounds from ash analysis data was established for estimating chemical exergy of inorganic matter. Statistical comparison shows that both chemical exergies of inorganic matter and ash can be properly neglected compared with the specific chemical exergy of dry solid and liquid fuels. The validation shows that the unified correlation is reliable and accurate. The method and results presented in this paper can be adopted to develop correlations for estimating specific chemical exergy of solid and liquid fuels based on various reference environmental models.

Original languageEnglish
Pages (from-to)164-173
Number of pages10
JournalEnergy
Volume40
Issue number1
DOIs
Publication statusPublished - Apr 2012
Externally publishedYes

Keywords

  • Ash
  • Chemical exergy
  • Inorganic matter
  • Organic matter
  • Solid and liquid fuels
  • Standard entropy

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Pollution
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A unified correlation for estimating specific chemical exergy of solid and liquid fuels'. Together they form a unique fingerprint.

Cite this