Results 1 to 10 of about 164 (117)
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, Zhaoming Yang, Huai Su
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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 +6 more
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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 +7 more
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Energy Exploration & 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 ...
Saroj K Sadangi, Rudra P Pradhan
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Prediction method of coal calorific value based on quantile regression
Gong-kuang zidonghua, 2022 At present, the traditional linear regression model is mainly used to predict the calorific value of coal. But it is difficult to express the complex relationship between independent variables and dependent variables.
ZHAO Xianzhi, CHEN Junlin
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Performance of Fuzzy Inference System for Calorific Value Predicting by Using The Mamdani Method
Indonesian Journal of Applied Physics, 2021 It is well known that the energy content of fuel is characterized by its calorific value which is usually measured by using a bomb calorimeter. In many analysis, the calorific value is usually related with the proximate analysis results.
Viska Inda Variani
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Prediction of Calorific Value of Biomass from Proximate Analysis
Energy Procedia, 2017 Abstract Biomass is one of the renewable and sustainable energy sources that does not lead greenhouse gas emissions. Efficient use of biomass energy will help to solve problems resulting from fossil fuels. However, the main concern relevant to use of this energy is mainly related to low calorific value of biomass.
Yaman S, Ayse Özyuguran
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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.
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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.
Xin Wang +4 more
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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).
Tanveer Alam Munshi +3 more
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