Academic Journal of Environment & Earth Science, 2024, 6(5); doi: 10.25236/AJEE.2024.060506.
Yuanji Ren, Xu Sun
School of Automation, Shenyang Aerospace University, Shenyang, 110136, China
At present, the problem of environmental pollution is still serious. At the same time, in the context of increasing global demand for energy, finding a sustainable energy has become the common goal of the world. As a renewable and low-carbon energy carrier, biomass has a high energy conversion rate and a green environment when coheating with coal. In this paper, the influence of INS on pyrolysis changed. In the pyrolysis experiment, there is an interactive effect between INS and mixing ratio on pyrolysis product yield. In this paper, a linear regression model is constructed to evaluate the horizontal effect of different INS and mixing ratio on the yield of the three main pyrolysis products: Tar, Water and Char. Analysis of the three pyrolysis products of each combination by paired samples t-test indicates a significant difference between theoretical and experimental values at a specific mixing ratio. This study reveals the bias between them by comparing experimental values with theoretical predicted values.
Biomass, coal, co-pyrolysis, pyrolysis products
Yuanji Ren, Xu Sun. Research on the copyrolysis of biomass and coal based on statistical test and machine learning. Academic Journal of Environment & Earth Science (2024), Vol. 6, Issue 5: 37-44. https://doi.org/10.25236/AJEE.2024.060506.
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