Results 91 to 100 of about 7,050,556 (197)

Geophysical Log Responses and Predictive Modeling of Coal Quality in the Shanxi Formation, Northern Jiangsu, China

open access: yesApplied Sciences
Traditional coal quality assessment methods rely exclusively on the laboratory testing of physical samples, which impedes detailed stratigraphic evaluation and limits the integration of intelligent precision mining technologies. To resolve this challenge,
Xuejuan Song   +6 more
doaj   +1 more source

Suppression strategies for pyrolysis gas parameter fluctuations in small pyrolysis-combustion coupled reactors for MSW

open access: yesResults in Engineering
The small thermal capacity of a Small Pyrolysis-Combustion Coupled Reactor (PCCR) may lead to unstable operation and fluctuations in the parameters of the pyrolysis gas, making dynamic monitoring very difficult and affecting the stability and emissions ...
Shuhui Wang   +5 more
doaj   +1 more source

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

open access: yes
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
Xi Shu   +4 more
core   +1 more source

On-line determination of the calorific value of solid fuels

open access: yes, 2004
In thermal processes with highly inhomogeneous fuels it is desirable to know real time fuel characteristics. In the case of municipal solid waste combustion (MSWC) it was up till now not possible to determine the calorific value of the waste on-line with
Arendsen, A.R.J.   +2 more
core  

Forecasting Potential Resources of Humic Substances in the Ukrainian Lignite

open access: yesResources
The present research deals with forecasting the potential content of humic acids (HA) in Ukrainian lignite based on the coal’s physicochemical characteristics.
Serhiy Pyshyev   +7 more
doaj   +1 more source

Real-time prediction model for carbon emission using BP neural network based on clustering algorithm and Bayesian optimization

open access: yesReli fadian
To construct a prediction model for carbon emission from coal-fired power plants and address the problem of general lack of real-time elemental analysis for coal entering the furnace of coal-fired units, according to the in-furnace coal quality ...
JIANG Yuheng   +4 more
doaj   +1 more source

A Physics-Informed Combinatorial Digital Twin for Value-Optimized Production of Petroleum Coke

open access: yesEnergies
Petroleum coke quality strongly influences refinery economics and downstream energy use, yet real-time control is constrained by slow quality assays and a 24–48 h lag in laboratory results.
Vladimir V. Bukhtoyarov   +6 more
doaj   +1 more source

Interpretable Optimized Extreme Gradient Boosting for Prediction of Higher Heating Value from Elemental Composition of Coal Resource to Energy Conversion

open access: yesBig Data and Cognitive Computing
The higher heating value (HHV), sometimes referred to as the gross calorific value, is a crucial metric for determining a fuel’s primary energy potential in energy production systems. By combining extreme gradient boosting (XGBoost) with the differential
Paulino José García-Nieto   +3 more
doaj   +1 more source

Brennwertbestimmung von Gasen im geschaeftlichen Verkehr Vortraege

open access: yes, 1997
Topic of this report is the measurement of the calorific value of gases. Several measuring methods for the calorific value are described, followed by the metrological control of the measuring systems, some legal aspects, certification and standards of ...
Physikalisch-Technische Bundesanstalt, Braunschweig (Germany). Thermodynamik und Explosionsschutz   +1 more
core  

Calorific value of willow biomass [PDF]

open access: yes, 2011
Biomasa jest obecnie w Polsce głównym źródłem energii odnawialnej. Udział biomasy w bilansie paliwowym w 2008 roku w Polsce wyniósł 87,7%, a w UE-25 - 46,0% [3].
Fijałkowska, D., Styszko, L.
core  

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