<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tiwary, Shishir</style></author><author><style face="normal" font="default" size="100%">Ghugare, Suhas B.</style></author><author><style face="normal" font="default" size="100%">Chavan, Prakash D.</style></author><author><style face="normal" font="default" size="100%">Saha, Sujan</style></author><author><style face="normal" font="default" size="100%">Datta, Sudipta</style></author><author><style face="normal" font="default" size="100%">Sahu, Gajanan</style></author><author><style face="normal" font="default" size="100%">Tambe, Sanjeev S.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Co-gasification of high ash coal–biomass blends in a fluidized bed gasifier: </style></title><secondary-title><style face="normal" font="default" size="100%">Waste and Biomass Valorization </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">JAN</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">11</style></volume><pages><style face="normal" font="default" size="100%">323–341</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Co-gasification (COG) is a clean-coal technology that uses a binary blend of coal and biomass for generating the&amp;nbsp;product gas; it is environment-friendly since it emits lesser quantities of pollutants compared to the coal gasification process. Although coals found in many countries contain high percentages of ash, co-gasification studies involving such coals, and the process modeling thereof, are rare. Accordingly, this study presents results of the co-gasification experiments conducted in a fluidized-bed gasifier (FBG) pilot plant using as a feed the blends of high ash Indian coals with three biomasses, namely, &lt;i&gt;rice husk, press mud&lt;/i&gt;, and &lt;i&gt;sawdust&lt;/i&gt;. Since the underlying physicochemical phenomena are complex and nonlinear, modeling of the COG process has been performed using three&amp;nbsp;computational intelligence (CI)-based methods namely, &lt;i&gt;genetic programming, artificial neural networks&lt;/i&gt;, and &lt;i&gt;support vector regression&lt;/i&gt;. Each of these formalisms was employed separately to develop models predicting four COG performance variables, namely, &lt;i&gt;total gas yield, carbon conversion efficiency, heating value of product gas&lt;/i&gt;, and &lt;i&gt;cold gas efficiency&lt;/i&gt;. All the CI-based models exhibit an excellent prediction accuracy and generalization performance. The co-gasification experiments and their modeling presented here for a pilot-plant FBG can be gainfully utilized in the efficient design and operation of the corresponding commercial scale co-gasifiers utilizing high ash coals.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">9</style></issue><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;Foreign&lt;/p&gt;
</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;2.851&lt;/p&gt;
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