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Calorific Value

The Experts below are selected from a list of 26304 Experts worldwide ranked by ideXlab platform

S Yaman – 1st expert on this subject based on the ideXlab platform

  • prediction of Calorific Value of biomass from proximate analysis
    Energy Procedia, 2017
    Co-Authors: Ayse Ozyuguran, S Yaman

    Abstract:

    Abstract Biomass is one of the renewable and sustainable energy sources that does not lead greenhouse gas emissions. Efficient use of biomass energy will help to solve problems resulting from fossil fuels. However, the main concern relevant to use of this energy is mainly related to low Calorific Value of biomass. Therefore, Calorific Value is the key parameter to evaluate the fuel quality of a special biomass material in energetic applications. In this context, twenty-seven different biomass species that represent very wide range of biomass materials such as herbaceous and woody biomasses, nut shells, fruit stones, stem and husks, pulps, and agricultural residues have been characterized by proximate analysis (moisture, volatile matter, fixed carbon, and ash contents). Then, various empirical equations which contain linear and nonlinear terms have been tested in order to predict the higher heating Values (HHV) of full sample set from the proximate analysis results. It was concluded that since biomasses used in this study have different structures and fuel characteristics, the predicted HHVs for the full sample set were a bit different from the experimental HHVs and the r2 of these equations varied in the range of 0.812-0.837, while standard deviations were between 1.469 and 1.493 MJ/kg. Nevertheless, considering the number of the biomass species used in this study and their differences in properties, these standard deviations may be regarded in the acceptable limits.

Constantinos Lymperis – 2nd expert on this subject based on the ideXlab platform

  • revisiting the elemental composition and the Calorific Value of the organic fraction of municipal solid wastes
    Waste Management, 2012
    Co-Authors: Dimitrios Komilis, Alexandros Evangelou, Georgios B Giannakis, Constantinos Lymperis

    Abstract:

    In this work, the elemental content (C, N, H, S, O), the organic matter content and the Calorific Value of various organic components that are commonly found in the municipal solid waste stream were measured. The objective of this work was to develop an empirical equation to describe the Calorific Value of the organic fraction of municipal solid waste as a function of its elemental composition. The MSW components were grouped into paper wastes, food wastes, yard wastes and plastics. Sample sizes ranged from 0.2 to 0.5 kg. In addition to the above individual components, commingled municipal solid wastes were sampled from a bio-drying facility located in Crete (sample sizes ranged from 8 to 15 kg) and were analyzed for the same parameters. Based on the results of this work, an improved empirical model was developed that revealed that carbon, hydrogen and oxygen were the only statistically significant predictors of Calorific Value. Total organic carbon was statistically similar to total carbon for most materials in this work. The carbon to organic matter ratio of 26 municipal solid waste substrates and of 18 organic composts varied from 0.40 to 0.99. An approximate chemical empirical formula calculated for the organic fraction of commingled municipal solid wastes was C32NH55O16.

Ayse Ozyuguran – 3rd expert on this subject based on the ideXlab platform

  • prediction of Calorific Value of biomass from proximate analysis
    Energy Procedia, 2017
    Co-Authors: Ayse Ozyuguran, S Yaman

    Abstract:

    Abstract Biomass is one of the renewable and sustainable energy sources that does not lead greenhouse gas emissions. Efficient use of biomass energy will help to solve problems resulting from fossil fuels. However, the main concern relevant to use of this energy is mainly related to low Calorific Value of biomass. Therefore, Calorific Value is the key parameter to evaluate the fuel quality of a special biomass material in energetic applications. In this context, twenty-seven different biomass species that represent very wide range of biomass materials such as herbaceous and woody biomasses, nut shells, fruit stones, stem and husks, pulps, and agricultural residues have been characterized by proximate analysis (moisture, volatile matter, fixed carbon, and ash contents). Then, various empirical equations which contain linear and nonlinear terms have been tested in order to predict the higher heating Values (HHV) of full sample set from the proximate analysis results. It was concluded that since biomasses used in this study have different structures and fuel characteristics, the predicted HHVs for the full sample set were a bit different from the experimental HHVs and the r2 of these equations varied in the range of 0.812-0.837, while standard deviations were between 1.469 and 1.493 MJ/kg. Nevertheless, considering the number of the biomass species used in this study and their differences in properties, these standard deviations may be regarded in the acceptable limits.