The Experts below are selected from a list of 18 Experts worldwide ranked by ideXlab platform

Jun Xiao - One of the best experts on this subject based on the ideXlab platform.

  • A unified correlation for estimating Specific Chemical Exergy of solid and liquid fuels
    Energy, 2012
    Co-Authors: Guohui Song, Jun Xiao, Hao Zhao, Laihong Shen
    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.

  • estimating Specific Chemical Exergy of biomass from basic analysis data
    Industrial & Engineering Chemistry Research, 2011
    Co-Authors: Guohui Song, Laihong Shen, Jun Xiao
    Abstract:

    Estimation of Chemical Exergy of biomass is one of the basic steps in performance analysis and optimization of biomass conversion systems. A practical method for estimating Specific Chemical Exergy...

Guohui Song - One of the best experts on this subject based on the ideXlab platform.

  • A unified correlation for estimating Specific Chemical Exergy of solid and liquid fuels
    Energy, 2012
    Co-Authors: Guohui Song, Jun Xiao, Hao Zhao, Laihong Shen
    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.

  • estimating Specific Chemical Exergy of biomass from basic analysis data
    Industrial & Engineering Chemistry Research, 2011
    Co-Authors: Guohui Song, Laihong Shen, Jun Xiao
    Abstract:

    Estimation of Chemical Exergy of biomass is one of the basic steps in performance analysis and optimization of biomass conversion systems. A practical method for estimating Specific Chemical Exergy...

Laihong Shen - One of the best experts on this subject based on the ideXlab platform.

  • A unified correlation for estimating Specific Chemical Exergy of solid and liquid fuels
    Energy, 2012
    Co-Authors: Guohui Song, Jun Xiao, Hao Zhao, Laihong Shen
    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.

  • estimating Specific Chemical Exergy of biomass from basic analysis data
    Industrial & Engineering Chemistry Research, 2011
    Co-Authors: Guohui Song, Laihong Shen, Jun Xiao
    Abstract:

    Estimation of Chemical Exergy of biomass is one of the basic steps in performance analysis and optimization of biomass conversion systems. A practical method for estimating Specific Chemical Exergy...

Francis Chinweuba Eboh - One of the best experts on this subject based on the ideXlab platform.

Tobias Richards - One of the best experts on this subject based on the ideXlab platform.