Results 161 to 170 of about 7,050,556 (197)

Unlocking integrated waste biorefinery approach by predicting calorific value of waste biomass

Environmental Research, 2023
The 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, A.S. Nizami, A.S. Aburiazaiza, F. Jabeen, O.A. Arikan, A. Anees, F. Hussain, M.H. Javed, M. Rehan   +8 more
openaire   +2 more sources

Prediction of the Calorific Value of Coal Deposit Using Linear Regression Analysis

Energy Sources, Part A: Recovery, Utilization and Environmental Effects, 2013
Coal quality has prime importance in the production of energy, and thus determining the quality is useful in planning of coal deposit. The prediction of coal quality, especially calorific value, is one of the important parameters. The estimation of calorific value is a complicated problem in coal deposits.
Yerel, S., Ersen, T.
exaly   +3 more sources

Predicting calorific value for mixed food using image processing

2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2017
India 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
openaire   +1 more source

Models Predicting Calorific Value of Straw from the Ash Content

International Journal of Green Energy, 2008
The 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, Lujia Han, Xian Liu, Zengling Yang   +3 more
openaire   +1 more source

Monte Carlo parametric modeling for predicting biomass calorific value

Journal of Thermal Analysis and Calorimetry, 2014
Due 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, Paris A. Fokaides, Ioannis Kyriakides   +2 more
openaire   +1 more source

Prediction models of calorific value of coal based on wavelet neural networks

Fuel, 2017
Abstract New prediction models based on wavelet neural networks (WNNs) have been proposed to estimate the gross calorific value (GCV) of coals. The input sets for the prediction models are involved of the proximate and ultimate analysis components of coal and the oxide analyses of ash.
Xiaoqiang Wen, Shuguang Jian, Jianguo Wang   +2 more
exaly   +2 more sources

Predictive estimate of the calorific value of substances with negative oxygen balance depending on the value of oxygen balance

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, Alexander Ozerin, Eugeny Eidelman, Anatoly Kozlov, Sergey Naryzhny, Valerii Martchukov, Asko Vehanen, Vesa Myllymäki   +7 more
openaire   +1 more source

Prediction of biomass gross calorific values using visible and near infrared spectroscopy

Biomass and Bioenergy, 2012
Abstract 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 C. Fagan, Kevin P McDonnell, Colm D Everard   +2 more
exaly   +2 more sources

Optimal use of condensed parameters of ultimate analysis to predict the calorific value of biomass

Fuel, 2018
Abstract Higher heating value (HHV) and lower heating value (LHV) of 39 biomass species that include woody samples, herbaceous materials, agricultural residues, juice pulps, nut shells, etc. were predicted based on elemental analysis results.
Serdar Yaman, Ayse Arifoglu, Aysen Akturk   +2 more
exaly   +2 more sources

Research on New Nonlinear Method Applied on Coal Calorific Value Prediction

Applied Mechanics and Materials, 2013
Based on research of the relationship between the industrial analysis of coal composition and the calorific value, a multiple linear regression - support vector machine model for predicting calorific value of coal is put forward. The training sample set is made up of the original industrial analysis data and calorific value.
Ke Lei Sun, Xiao Juan Zhu, Hua Ping Zhou
openaire   +1 more source