Results 1 to 10 of about 7,050,556 (197)
Dynamic Prediction of Natural Gas Calorific Value Based on Deep Learning [PDF]
Energies, 2023 The natural gas quality fluctuates in complex natural gas pipeline networks, because of the influence of the pipeline transmission process, changes in the gas source, and fluctuations in customer demand in the mixing process.
Jingjing Hu, Huai Su
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Coal Calorific Value Prediction via Multi-View Transformer [PDF]
SensorsAccurate measurement of coal calorific value is critical for efficient power generation. To address the limitations of conventional models on large-scale, heterogeneous datasets, this study proposes a novel deep learning framework, the Multi-View ...
Donglian Zhang +7 more
doaj +3 more sources
Energy Reports, 2022 Domestic agro-byproduct potential in Korea is estimated to be approximately 4,018 × 103 tons of oil equivalent per year. Majority of agro-byproducts are unused and discarded.
Sunyong Park, DaeHyun Kim, Seok Jun Kim
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Calorific Value Prediction Model Using Structure Composition of Heat-Treated Lignocellulosic Biomass
Energies, 2023 This study aims to identify an equation for predicting the calorific value for heat-treated biomass using structural analysis. Different models were constructed using 129 samples of cellulose, hemicellulose, and lignin, and calorific values obtained from
Sunyong Park, DaeHyun Kim, Seok Jun Kim
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EnergiesThis study addresses the limitations of traditional coal calorific value prediction models, which primarily rely on linear regression and single-source proximate analysis data.
Zhao Cao
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Energy Exploration and ExploitationThe gross calorific value (GCV) of coal is pivotal in shaping policies across various sectors of the Indian economy. It plays a crucial role in classification and valuation of coal and is a major factor in determining electricity tariffs charged by ...
Rudra P Pradhan
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A Natural Gas Energy Metering Method Based on Density-Sound Velocity Correlation [PDF]
SensorsThis paper proposes a method for metering natural gas energy based on the correlation between density and sound velocity. The technique integrates physical property correlation models with measured parameters, such as temperature, pressure, sound ...
Bin Zhang +6 more
doaj +2 more sources
Prediction method of blasting vibration velocity of high slope based on bayes [PDF]
Scientific ReportsAccurate prediction of blasting vibration velocity and effective control of vibration-induced hazards remain key challenges in blasting engineering. Using monitoring data from a high-slope blasting project in the Pan Nan 2 × 660 MW low-calorific-value ...
Xiangzhao Deng +5 more
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International Journal of Coal Science and TechnologyCalorific value is one of the most important properties of coal. Machine learning (ML) can be used in the prediction of calorific value to reduce experimental costs.
Fuchen Wang
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HeliyonThe calorific value of any fuel is one of the crucial parameters to grade fuel's burning capability. The bomb calorimeter has historically been used to calculate coal's gross calorific value (GCV).
M Farhad Howladar +2 more
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