A novel modeling approach to optimize oxygen-steam ratios in coal gasification process

Title
A novel modeling approach to optimize oxygen-steam ratios in coal gasification process
Author(s)
이문용Milad Arabloo[Milad Arabloo]Alireza Bahadori[Alireza Bahadori]Mohammad M. Ghiasi[Mohammad M. Ghiasi]Ali Abbas[Ali Abbas]Sohrab Zendehboudi[Sohrab Zendehboudi]
Keywords
SUPPORT VECTOR MACHINE; GAS COMPRESSIBILITY FACTOR; COST ESTIMATION; NEURAL-NETWORKS; PVT PROPERTIES; PREDICTION; SYSTEMS; OIL
Issue Date
201508
Publisher
ELSEVIER SCI LTD
Citation
FUEL, v.153, pp.1 - 5
Abstract
Coal gasification operation appears to be an essential element in the advanced energy systems, where the reaction between oxygen, steam and coal results in production of syngas (e.g., a mixture of carbon monoxide and hydrogen) under elevated pressure and temperature conditions. An efficient design for gasification process is expected if proper oxygen/steam rations are selected such that a thermal balance is established between the exothermic and endothermic reactions, leading to yield maximization of desired products in most cases. In this article, a rigorous modeling approach using support vector machine (SVM) algorithm is developed to estimate optimum oxygen-steam ratios required to balance the released heat and heat requirement in coal gasification process. An acceptable match between modeling outputs and real data is noticed so that the average absolute error is lower than 1.0%. (C) 2015 Elsevier Ltd. All rights reserved.
URI
http://hdl.handle.net/YU.REPOSITORY/31335http://dx.doi.org/10.1016/j.fuel.2015.02.083
ISSN
0016-2361
Appears in Collections:
공과대학 > 화학공학부 > Articles
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