2012 ©
             Publication
Journal Publication
Research Title Policy Planning for Thai Ethanol Industry 
Date of Distribution 8 December 2014 
Conference
     Title of the Conference The 2nd International Symposium on Food-Energy-Water Security Challenge (FEWS 2014) 
     Organiser Khon Kaen University 
     Conference Place Centara Hotel and Convention Centre Khon Kaen 
     Province/State Khon Kaen, Thailand 
     Conference Date 8 December 2014 
     To 10 December 2014 
Proceeding Paper
     Volume
     Issue FEWS 2014 
     Page 29 
     Editors/edition/publisher  
     Abstract Due to expansion of Thai ethanol demand, appropriate policy planning is needed. Therefore, artificial neural networks were used to formulate the prediction models of ethanol demand for both domestic consumption and export; because, their prediction accuracy is quite high and they can address problems having both linear and non-linear relationships. In addition, the sensitivity analysis of ANN models was performed in this study. The results showed that ANN models were robust and reliable to be used in forecasting the domestic consumption and export of Thai ethanol. From the results of forecasting, new ethanol plant was not needed in 2013 because existing plants were assumed full capacity of operation, and domestic demand and export were met. However, ethanol plants should be increased at least 1 in 2014 and 6 in 2015 when considering the base case of forecasting. Consequently, feedstocks and crop production were further estimated basing on the previous number of ethanol plants increased in order to meet the supply of the plants. The estimation could be used as guideline for Thailand to produce sugarcane and cassava at least 97 and 27 million tons, respectively, which were sufficient for the ethanol industry and other major industries. 
Author
527040013-3 Mrs. ROJANEE HOMCHALEE [Main Author]
Engineering Doctoral Degree

Peer Review Status มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Abstract 
Type of Presentation Oral 
Part of thesis true 
Presentation awarding false 
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