首页|New Data from University of Johannesburg Illuminate Findings in Machine Learning (Process Optimization of Chemical Looping Combustion of Solid Waste/ Biomass Us ing Machine Learning Algorithm)
New Data from University of Johannesburg Illuminate Findings in Machine Learning (Process Optimization of Chemical Looping Combustion of Solid Waste/ Biomass Us ing Machine Learning Algorithm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news reporting originating in Johannesburg, South Afric a, by NewsRx journalists, research stated, “Chemical Looping Combustion (CLC) is a carbon capture technology that uses an oxygen carrier to transfer the oxidizi ng agent to the fuel for combustion. This study used different machine learning algorithms, Artificial neural network and Response surface methodology to estima te the surface region process performance and optimize the process condition for the CLC of different solid fuels waste paper, plastic waste, and sugarcane baga sse blends.” The news reporters obtained a quote from the research from the University of Joh annesburg, “Based on the combustion efficiency, CO2 yield and CO2 capture effici ency responses, A high performance correlation (R-2 > 0. 8) was obtained for all the combustion parameters analyzed. The perturbation plo t derived from the RSM analysis indicated that the most significant input parame ters include the steam to fixed carbon, blend ratio and the fuel reaction temper ature. The CLC process was optimized using RSM. For blends of SCB/WP, the best o perating conditions were found to be 800 degrees C, a solid flow rate of 197.7 k g/h, an oxygen carrier to fuel ratio of 1.1, a steam to fixed carbon ratio of 2. 16, and a blend ratio of 1. Similarly, for blends of SCB/PW, the optimal operati ng conditions were 800 degrees C, a solid flow rate of 199.4 kg/h, an oxygen car rier to fuel ratio of 1.3, steam to fixed carbon ratio of 2, and a blend ratio o f 0.3.”
JohannesburgSouth AfricaAfricaAlgo rithmsCyborgsEmerging TechnologiesMachine LearningUniversity of Johannes burg
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