The objective of this study was to develop a methodology for the determination of the maximum sampling error and confidence intervals of thermal properties obtained from thermogravimetric analysis (TG), including moisture, volatile matter, fixed carbon and ash content. The sampling procedure of the TG analysis was of particular interest and was conducted with care. The results of the present study were compared to those of a prompt analysis, and a correlation between the mean values and maximum sampling errors of the methods were not observed. In general, low and acceptable levels of uncertainty and error were obtained, demonstrating that the properties evaluated by TG analysis were representative of the overall fuel composition. The accura...
<div><p>The objective of this study was to investigated the use of chemometric modeling of thermogra...
ABSTRACT: The pelleting of forest and agricultural materials, mainly because many residues from bot...
An effective analytical technique for biomass characterisation is inevitable for biomass utilisation...
This paper investigates a method for the determination of the maximum sampling error and confidence ...
Thermal analysis represents a group of techniques that analyse various physical and/or chemical prop...
Despite many advantages of the utilization of biomass as a renewable energy source, certain bottlene...
Accurate determination of the properties of biomass is of particular interest in studies on biomass ...
With fossil fuels continuing to shrink, but the need for energy growing every day, alternative energ...
The determination of the amount of residual carbon in biomass ash is important not only for the asse...
Biomass is recognized as a major source of renewable energy. In order to convert biomass energy to m...
Energy Engineering brings together a wide range of scientific disciplines. In energetic industry, th...
In this work, the biomass property is evaluated based on pyrolysis behavior of biomass fuels by mean...
The experimental optimization by the simplex method of the proximate analysis of coal and biomass by...
A method based on thermal analysis techniques was used for the estimation of waste biomass feedstock...
<p>Thermogravimetric and mass spectroscopic data for biomass thermolysis, pine, maize samples</p
<div><p>The objective of this study was to investigated the use of chemometric modeling of thermogra...
ABSTRACT: The pelleting of forest and agricultural materials, mainly because many residues from bot...
An effective analytical technique for biomass characterisation is inevitable for biomass utilisation...
This paper investigates a method for the determination of the maximum sampling error and confidence ...
Thermal analysis represents a group of techniques that analyse various physical and/or chemical prop...
Despite many advantages of the utilization of biomass as a renewable energy source, certain bottlene...
Accurate determination of the properties of biomass is of particular interest in studies on biomass ...
With fossil fuels continuing to shrink, but the need for energy growing every day, alternative energ...
The determination of the amount of residual carbon in biomass ash is important not only for the asse...
Biomass is recognized as a major source of renewable energy. In order to convert biomass energy to m...
Energy Engineering brings together a wide range of scientific disciplines. In energetic industry, th...
In this work, the biomass property is evaluated based on pyrolysis behavior of biomass fuels by mean...
The experimental optimization by the simplex method of the proximate analysis of coal and biomass by...
A method based on thermal analysis techniques was used for the estimation of waste biomass feedstock...
<p>Thermogravimetric and mass spectroscopic data for biomass thermolysis, pine, maize samples</p
<div><p>The objective of this study was to investigated the use of chemometric modeling of thermogra...
ABSTRACT: The pelleting of forest and agricultural materials, mainly because many residues from bot...
An effective analytical technique for biomass characterisation is inevitable for biomass utilisation...