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Biomass gasification technology can improve the grade and utilization of biomass energy efficiency is very promising , so in today 's increasingly serious energy problems . Biomass gasification process , the ultimate goal is to get as many high quality combustible gas , tar , however , the existence of a serious impact on the quality of the biomass gasification gas , making the removal of biomass tar become a hot topic . This article first briefly describes the generation of biomass tar , hazards and the main tar removal method , and in-depth analysis of the removal mechanism of tar catalytic cracking , catalytic cracking tar program . Through the analysis of the experimental data of the corn stalk pyrolysis gasification gas tar catalytic cracking , there is discussed the influence of the two reasons , the size of the catalyst and the catalytic cracking temperature on the catalytic cracking of the tar . By analysis of the experimental data , summed small size limestone as a catalyst in the catalytic pyrolysis temperature is constant , more conducive to the conversion of tar , at the same time the gas production rate increases , reducing coke yield , catalyst life extended. In order to find the best size and limestone catalyst the best catalytic cracking temperature , the best tar catalytic cracking effect , the need for a large number of experiments , is not realistic . This article based on least squares support vector machine theory straw gasification and tar the Catalytic Cracking removal process model , and verify the feasibility of the model . Finally , on the basis of the model , using parallel selection genetic algorithm to strike a multi- objective optimization Pareto set , to find the best value limestone straw gasification tar as a catalyst catalytic cracking , catalytic cracking temperature and limestone size interval, to provide a reference for practical engineering applications to improve the tar conversion rate and catalyst life .
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