Results 81 to 90 of about 164 (117)
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Prediction of biomass gross calorific values using visible and near infrared spectroscopy
Biomass and Bioenergy, 2012Abstract Spectroscopy is a non-destructive sensing technology which has the potential to be an accurate method to optimize biomass-to-energy conversion processes. The objective of this study was to determine the accuracy of visible (Vis) and near infrared (NIR) spectroscopy in conjunction with chemometrics to predict gross calorific values of ...
Colette Catherine Fagan +2 more
exaly +2 more sources
International Journal of Coal Preparation and Utilization, 2011
Gross calorific value (GCV) is an important characteristic of coal and organic shale; the determination of GCV, however, is difficult, time-consuming, and expensive and is also a destructive analysis. In this article, the use of some soft computing techniques such as ANNs (artificial neural networks) and ANFIS (adaptive neuro-fuzzy inference system ...
Nazan Yalcin Erik, Isik Yilmaz
exaly +4 more sources
Gross calorific value (GCV) is an important characteristic of coal and organic shale; the determination of GCV, however, is difficult, time-consuming, and expensive and is also a destructive analysis. In this article, the use of some soft computing techniques such as ANNs (artificial neural networks) and ANFIS (adaptive neuro-fuzzy inference system ...
Nazan Yalcin Erik, Isik Yilmaz
exaly +4 more sources
Prediction of Calorific Value of Coal by Multilinear Regression and Analysis of Variance
Journal of Energy Resources Technology, 2021Abstract The higher heating value (HHV) of 84 coal samples including hard coals, lignites, and anthracites from Russia, Colombia, South Africa, Turkey, and Ukrania was predicted by multilinear regression (MLR) method based on proximate and ultimate analysis data. The prediction accuracy of the correlation equations was tested by Analysis
M. Sözer, H. Haykiri-Acma, S. Yaman
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Determination of the calorific value of natural gas using predictive modelling
Scientific journal of the Ternopil national technical university, 2021The analysis of the measured data on the calorific value of natural gas in different regions of Ukraine for 2014–2019, which are in the public domain, has been carried out. Since 2020, such data has not been published. This predetermines the need to use calculation methods for determining this physical quantity for subsequent years in different regions
Halyna Kuz +3 more
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Unlocking integrated waste biorefinery approach by predicting calorific value of waste biomass
Environmental Research, 2023The current study analyzed the high heating values (HHVs) of various waste biomass materials intending to the effective management and more sustainable consumption of waste as clean energy source. Various biomass waste samples including date leaves, date branches, coconut leaves, grass, cooked macaroni, salad, fruit and vegetable peels, vegetable ...
M. Waqas +8 more
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Models Predicting Calorific Value of Straw from the Ash Content
International Journal of Green Energy, 2008The use of straw for energy production has become increasingly popular in China today. To develop fast and cheap analysis, the calorific values of 222 straw samples from rural China were correlated with their ash content. Linear regression equation, nonlinear fitting equation, and artificial neural network models were developed in this study to ...
Caijin Huang +3 more
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Monte Carlo parametric modeling for predicting biomass calorific value
Journal of Thermal Analysis and Calorimetry, 2014Due to the nonlinear relationship between the calorific value and the elemental concentration of biomass, methods such as linear regression, widely used in the literature to model this relationship, produce models that fail to provide well-grounded results.
Elias A. Christoforou +2 more
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Predicting calorific value for mixed food using image processing
2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2017India is the second largest country within the world with 2 thirds of the population in their youth. With economic development and adoption of western lifestyle, a large number of people in India are affected by obesity. The obesity is the major cause due to the intake of junk and processed foods.
R. Kohila, R. Meenakumari
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Journal of Advanced Materials and Technologies, 2022
In recent years, it has become necessary to determine the calorific value of pure combustible substances, since the error of the previously used formula by D.I. Mendeleev reaches 20 %, which is not acceptable. The method for determining the calorific value by M.S. Karash is also widely known.
Valerii Dolmatov +7 more
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In recent years, it has become necessary to determine the calorific value of pure combustible substances, since the error of the previously used formula by D.I. Mendeleev reaches 20 %, which is not acceptable. The method for determining the calorific value by M.S. Karash is also widely known.
Valerii Dolmatov +7 more
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Prediction of coal calorific value based on the RBF neural network optimized by genetic algorithm
2012 8th International Conference on Natural Computation, 2012The calorific value of coal is an important factor for the economic operation of coal fired power plant. However calorific value is tremendous difference between the different coal, and even if coal is from the same mine. Restricted by the coal market, most of coal fired power plants can not burn the designed-coal by now in China.
Yuan Jing, Min-fang Qi, Zhong-guang Fu
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