Predictions of elemental composition of coal and biomass from their proximate analyses using ANFIS,ANN and MLR
Abiodun Ismail Lawal1
Adeyemi Emman Aladejare2
Moshood Onifade3
Samson Bada4
Musa Adebayo Idris5
1.Department of Mining Engineering,Federal University of Technology,Akure,Nigeria2.Oulu Mining School,University of Oulu,Oulu,Finland3.Informetrics Research Group,Ton Duc Thang University,Ho Chi Minh City,Vietnam;Faculty of Applied Sciences,Ton Duc Thang University,Ho Chi Minh City,Vietnam4.Clean Coal and Sustainable Energy Research Group,Faculty of Engineering and the Built Environment,University of the Witwatersrand,Johannesburg,South Africa5.Division of Mining and Geotechnical Engineering,Department of Civil,Environmental and Natural Resources Engineering,Lule? University of Technology,Lule?,Sweden
摘要：The elemental composition of coal and biomass provides significant parameters used in the design of almost all energy conversion systems and projects.The laboratory tests to determine the elemental composition of coal and biomass is time-consuming and costly.However,limited research has suggested that there is a correlation between parameters obtained from elemental and proximate analyses of these materials.In this study,some predictive models of the elemental composition of coal and biomass using soft computing and regression analyses have been developed.Thirty-one samples including parameters of elemental and proximate analyses were used during the analyses to develop multiple prediction models.Dependent variables for multiple prediction models were selected as carbon,hydrogen,and oxygen.Using volatile matter,fixed carbon,moisture and ash contents as independent variables,three different prediction models were developed for each dependent parameter using ANFIS,ANN,and MLR.In addition,a routine for selecting the best predictive model was suggested in the study.The reliability of the established models was tested by using various prediction performance indices and the models were found to be satisfactory.Therefore,the developed models can be used to determine the elemental composition of coal and biomass for practical purposes.
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论文发表日期：2021-03-30
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：17( 124-140 )
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