— Rapid and precise measurement of the calorific value of coal is crucial for coal chemical enterprises. However, due to the wide variety of coal sources and the diverse …

 — As an indicative standard for coal stored energy, gross calorific value (GCV) has been modeled by many different artificial intelligence "AI" methods such as a feed-forward artificial neural network (FANN), random forest (RF), and support vector regression (SVR) (GCV could be considered for the primary evaluation of coal prices) (Chelgani ...

 — Request PDF | Machine learning prediction of calorific value of coal based on the hybrid analysis | As one of the most important indicators of coal, calorific value (CV) not only determines the ...

Coal gcv testing machine, automation grade: digital, model n... Digital 2kva coal testing equipments, packaging type: box, m... Coal testing equipments; ... To check Calorific Value of Coal. Heat Capacity: 14000- 15000J/K. Display Type: LCD. read more... Brochure. Redius Solutions.

 — Calorific value is an important index for evaluating coal quality, and it is important to achieve the rapid detection of calorific value to improve production efficiency. In this paper, a calorific value detection method based on NIRS-XRF fusion spectroscopy is proposed, which utilizes NIRS to detect organic functional groups and XRF to detect …

 — There are also studies using the RF method to predict the calorific value. These studies focused on the calorific value prediction of producer gas from biomass gasification [1], pyrolytic bio-oil from fast pyrolysis of biomass [4], municipal solid waste [13], biomass-biochar-hard coal [24], torrefied biomass [25], coal [26].

 — In energy scarcity, particularly in Agri-based developing economies, bio-coal briquetting is the most suitable means of meeting sustainable energy needs utilizing agricultural waste. In this study, briquettes were made from an indigenously designed briquetting machine for investigating coal–biomass proportion blend using coal from …

 — The calorific value of coal is measured for almost all coal samples. It is a measure of the heating ability of a coal and is needed to estimate the amount of coal needed to produce a desired amount of heat. ... Calorific value can be measured in standard English units (Btu/lb) or in metric units (kilojoules/kg or megajoules/kg). One …

 — Coal is the primary energy source in China, widely used in energy production, industrial processes, and chemical engineering. Due to the complexity and diversity of coal quality, there is an urgent need for new technologies to achieve rapid and accurate detection and analysis of coal, aiming to improve coal resource utilization and reduce …

 — DOI: 10.1080/19392699.2024.2339340 Corpus ID: 269153347; Estimation of gross calorific value of coal: A literature review @article{Vilakazi2024EstimationOG, title={Estimation of gross calorific value of coal: A literature review}, author={Lethukuthula N. Vilakazi and Daniel Madyira}, journal={International Journal of Coal Preparation and …

 — Coal, as it is commonly known, is a solid fossil hydrocarbon fuel material. The gross calorific value of coal is frequently used when determining the total calorific value for a specific amount of coal for fuel …

 — The uses of coal in different power generation sectors depend on the quality of coal, such as gross calorific value (GCV), volatile matter (VM), and fixed carbon (FC) content. ... to classify the coal samples. Support Vector Machine (SVM): SVM is one of the most robust classifiers in Machine Learning [21]. Support vector machine is a linear ...

DOI: 10.1016/j.energy.2023.127666 Corpus ID: 258361035; Calorific value prediction of coal and its optimization by machine learning based on limited samples in a wide range @article{Bykkanber2023CalorificVP, title={Calorific value prediction of coal and its optimization by machine learning based on limited samples in a wide range}, …

 — Such attributes have direct relevance to the complex systems modelled in the coal industry [e.g., gas calorific value (GCV) prediction and coal petrology–grindability relationships]. ... Other machine learning algorithms and empirical relationships that are underpinned by correlations cannot easily deliver this level of detail into the degree ...

 — Calorific value prediction of coal and its optimization by machine learning based on limited samples in a wide range. April 2023. Energy 277 (6):127666. DOI:...

 — In addition, histograms of the 13 input features (proximate analysis, ultimate analysis, coal calorific value, coal particle size, ambient temperature, oxygen concentration) and CPT were shown in Fig. 2. 204 samples were divided into 142 (70%) samples and 62 (30%) samples as training set and testing set to train the fitting and generalization ...

 — The calorific value (CV) as an indicator of the chemically stored energy in coal is a very important parameter in the assessment of its value as a fuel [4], [5], and potentially could be a basis for the purchase of coal [6]. CV (heating value) is the amount of energy per unit mass released upon complete combustion [7].

 — Download Citation | Predicting the gross calorific value of coal based on support vector machine and partial least squares algorithm | In view of the problem of inaccurately measuring the gross ...

 — Gross calorific value (GCV) of coal was predicted by using as-received basis proximate analysis data. Two main objectives of the study were to develop prediction models for GCV using proximate ...

 — Recently, we have successfully developed a rapid coal calorific value analyzer based on NIRS-XRF technology [21], which has been applied in a certain coal washing plant. For the anthracite coal in this plant, we conducted calorific value analysis using a holistic-segmented model, and the test results met the application requirements.

Keywords: coal, RBFNN, GCV, GRNN, Machine learning, ML, SVM. I. INTRODUCTION Coal is the most abundant and commonly used fossil fuel on the planet. It is a global industry that contributes significantly to global economic growth. Coal is mined commercially in more than 50 nations and used in more than 70. Annual global coal usage is

Accurately detecting these two indicators is of great significance for carbon accounting. In this study, we developed a compact coal quality rapid detection integrated machine …

Rapid determination of the gross calorific value of coal using laser-induced breakdown spectroscopy coupled with artificial neural networks and genetic algorithm.

 — Maixi Lu, Zhou C (2009) Coal calorific value prediction with linear regression and artificial neural network. Coal Sci Technol 37:117–120. Google Scholar ... Support vector machine regression—an alternative to neural networks (ANN) for analytical chemistry. Comparison of nonlinear methods on near infrared (NIR) spectroscopy data. ...

 — Over the years, there has been an increasing demand for sustainable and renewable sources of energy. Energy production and energy utilization symbolize the economic progress of a country [1].Regarding energy production through renewable sources, India ranks third among the countries in the world [2].Global warming, …

 — The calorific value of coal is of great importance in both its direct use and the conversion to other useful forms of fuel [7]. The calorific value is usually expressed as gross calorific value (GCV) or higher heating value (HHV). ... Support vector machine based online coal identification through advanced flame monitoring. Fuel, 117 (2014), pp ...

 — Coal is the world's most abundant and widely used primary energy source. ... Prediction of gross calorific value as a function of proximate parameters for Jharia and Raniganj coal using machine learning based regression methods ... This study aims to investigate the relation between Gross calorific value (GCV) and coal proximate …

 — Calorific value testing machine using bomb calorimeter test method, can be used to measure the calorific value of solid or liquid samples, including coal, petroleum, ecology, energy metabolism in animal nutrition studies, physical, the chemical conclusion, etc. ... ASTM D240 Calorific Value Testing Machine for Petroleum Coal Oil. Posted on ...

 — This study aims to develop predictive models for the HHV of coal using machine learning techniques. To achieve this goal, we designed 17 optimized models, …

 — These correlations and machine learning prediction tools tend to be too complex and hence are of limited utility for the end-user. ... The gross calorific value (GCV) of coal is a key yardstick ...