Results 11 to 20 of about 167,765,255 (204)

Estimation of coal proximate analysis factors and calorific value by multivariable regression method and adaptive neuro-fuzzy inference system (ANFIS) [PDF]

International Journal of Mining and Geo-Engineering, 2017
The proximate analysis is the most common form of coal evaluation and it reveals the quality of a coal sample. It examines four factors including the moisture, ash, volatile matter (VM), and fixed carbon (FC) within the coal sample.
Ali Behnamfard, Rasool Alaei
doaj   +2 more sources

Research on Coal Calorific Value Prediction Based on K-Means Clustering and Ridge Regression Algorithm [PDF]

发电技术
ObjectivesThe calorific value of coal is one of the important evaluation criteria for measuring coal quality, and is also the main basis for valuation of power coal.
QIAO Shichao, CHEN Heng, LI Bo, PAN Peiyuan, XU Gang   +4 more
doaj   +2 more sources

Parameter Correlation of Proximate Analysis and Ultimate Analysis of the Calorific Value of Coal

JURNAL PERTAMBANGAN DAN LINGKUNGAN, 2021
Jambi Province is an area that has abundant coal potential, this is due to its location in the Jambi Sub-basin, part of the South Sumatra Basin. As one of the coal mining companies in Jambi Province, PT Kamalindo Sompurna conducts mining with the aim of ...
Wahyudi Zahar
semanticscholar   +2 more sources

Effects of Coal Desulfurization on Ultimate, Proximate, Calorific Value and Functional Group Transformations

E3S Web of Conferences
Coal desulfurization is essential for addressing environmental concerns about air quality, human health, and climate change. In this study, coal treated with potassium carbonate (PC)-ethylene glycol (EG) at a molar ratio of 1:8 for 60 minutes at 30 °C ...
Syarifah Nursyimi Azlina Syed Ismail, K. Ismail, A. Alias, A. Razi, M. A. M. Ishak   +4 more
semanticscholar   +2 more sources

Prediction of Coal Calorific Value Based on Coal Quality-Derived Indicators and Support Vector Regression Method

Energies
This study addresses the limitations of traditional coal calorific value prediction models, which primarily rely on linear regression and single-source proximate analysis data.
Xin Wang, Dahu Li, Youxiang Jiao, Yibin Yang, Zhao Cao   +4 more
doaj   +2 more sources

Interpretable Optimized Support Vector Machines for Predicting the Coal Gross Calorific Value Based on Ultimate Analysis for Energy Systems

Modelling
In energy production systems, the higher heating value (HHV), also known as the gross calorific value, is a key parameter for identifying the primary energy source.
Paulino José García-Nieto, Esperanza García-Gonzalo, José Pablo Paredes-Sánchez, Luis Alfonso Menéndez-García   +3 more
doaj   +2 more sources

Radial Basis Function Kolmogorov–Arnold Network for Coal Calorific Value Prediction Using Portable Near-Infrared Spectroscopy

Processes
The calorific value of coal is a key parameter for pricing, trade, and combustion management. Conventional bomb calorimetry provides accurate results but is time-consuming, labor-intensive, and destructive. Near-infrared (NIR) spectroscopy offers a rapid
Jie Zhang, Youquan Dou, Peiying Zhang, Xi Shu, Meng Lei   +4 more
semanticscholar   +2 more sources

Effect of pyrolysis temperature on desulfurization performance of high organic sulfur low rank coal [PDF]

Journal of Mining and Metallurgy. Section A: Mining, 2021
The sulfur in coal not only influences the coke quality but also pollutes the environment during the combustion. The desulfurization of high organic sulfur coal is a key issue in coal cleaning science.
Xia W., He W., Sokolović J.
doaj   +1 more source

Influence of sieve size on calorific value and proximate properties of bio-briquette composites [PDF]

, 2023
This work aimed to observe the influence of calorific value and proximate properties in the fabrication of rice husk (RS) and coffee shell (CH) briquettes composite. Rice and coffee husks contain cellulose, hemicellulose, and lignin.
Winarti, Indri, Sawitri, Asti, Iman, Ryan Nur, Setiawan, Andhy, Aliah, Hasniah, Safarina, Rizky   +5 more
core   +2 more sources

Model-Free Control of UCG Based on Continual Optimization of Operating Variables: An Experimental Study

Energies, 2021
The underground coal gasification (UCG) represents an effective coal mining technology, where coal is transformed into syngas underground. Extracted syngas is cleaned and processed for energy production.
Ján Kačur, Marek Laciak, Milan Durdán, Patrik Flegner   +3 more
doaj   +1 more source