02503nas a2200289   4500008004100000022001400041245014800055210007100203260000800274300000900282490000700291520147100298653003101769653002001800653003101820653002701851653002401878653003001902100002001932700002301952700002401975700001601999700001902015700001802034700002302052856013802075       2018                        eng d  a1877-264100aCo-gasification of high ash coal–biomass blends in a fluidized bed gasifier: experimental study and computational intelligence-based modeling0 aCogasification of high ash coal–biomass blends in a fluidized be  cJUN  a1-190 v113 aCo-gasification (COG) is a clean-coal technology that uses a binary blend of coal and biomass for generating the 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, rice husk, press mud, and sawdust. Since the underlying physicochemical phenomena are complex and nonlinear, modeling of the COG process has been performed using three computational intelligence (CI)-based methods namely, genetic programming, artificial neural networks, and support vector regression. Each of these formalisms was employed separately to develop models predicting four COG performance variables, namely, total gas yield, carbon conversion efficiency, heating value of product gas, and cold gas efficiency. 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.10aArtificial neural networks10aCo-gasification10aComputational intelligence10aFluidized bed gasifier10agenetic programming10asupport vector regression1 aTiwary, Shishir1 aGhugare, Suhas, B.1 aChavan, Prakash, D.1 aSaha, Sujan1 aDatta, Sudipta1 aSahu, Gajanan1 aTambe, Sanjeev, S.  uhttps://library.ncl.res.in/content/co-gasification-high-ash-coal%E2%80%93biomass-blends-fluidized-bed-gasifier-experimental-study-and