Prediction of gross calorific value of solid fuels from their proximate analysis using soft computing and regression analysis-Reference-Cited by-同舟云学术

Prediction of gross calorific value of solid fuels from their proximate analysis using soft computing and regression analysis

Published:2019-11-29 Issue: Volume: Page:1-15
ISSN:1939-2699
Container-title:International Journal of Coal Preparation and Utilization
language:en
Short-container-title:International Journal of Coal Preparation and Utilization

Author:

Onifade Moshood¹²,Lawal Abiodun Ismail³,Aladejare Adeyemi Emman⁴,Bada Samson⁵,Idris Musa Adebayo⁶

Affiliation:

1. Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam

2. Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Vietnam

3. Department of Mining Engineering, Federal University of Technology, Akure, Nigeria

4. Oulu Mining School, University of Oulu, Oulu, Finland

5. Clean Coal and Sustainable Energy Research Group, University of the Witwatersrand, Johannesburg, South Africa

6. Division of Mining and Geotechnical Engineering, Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, Luleå, Sweden

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology,General Chemical Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/19392699.2019.1695605

Reference32 articles.

1. Prediction of gross calorific value of coal based on proximate analysis using multiple linear regression and artificial neural networks

2. ASTM, D3180-07. Standard Practice for Calculating Coal and Coke Analyses from As-Determined to Different Bases.

3. ASTM, D4239-05. Standard Test Methods for Sulfur in the Analysis Sample of Coal and Coke Using High Temperature Tube Furnace Combustion Methods.

4. ASTM, D5373-02. Standard Test Methods for Instrumental Determination of Carbon, Hydrogen, and Nitrogen in Laboratory Samples of Coal and Coke.

5. ASTM, D5865. Standard Test Method for Gross Calorific Value of Coal and Coke.

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