دانلود مقاله انگلیسی رایگان:تولید هیدروژن از طریق گاز زدایی زیست توده و الگوریتم های یادگیری ماشین نظارت شده - 2019
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  • Hydrogen production via biomass gasification, and modeling by supervised machine learning algorithms Hydrogen production via biomass gasification, and modeling by supervised machine learning algorithms
    Hydrogen production via biomass gasification, and modeling by supervised machine learning algorithms

    سال انتشار:

    2019


    عنوان انگلیسی مقاله:

    Hydrogen production via biomass gasification, and modeling by supervised machine learning algorithms


    ترجمه فارسی عنوان مقاله:

    تولید هیدروژن از طریق گاز زدایی زیست توده و الگوریتم های یادگیری ماشین نظارت شده


    منبع:

    Sciencedirect - Elsevier - International Journal of Hydrogen Energy, 44 (2019) 17260-17268: doi:10:1016/j:ijhydene:2019:02:108


    نویسنده:

    Emine Elmaslar Ozbas a,*, Dogukan Aksu b, Atakan Ongen a, Muhammed Ali Aydin b, H. Kurtulus Ozcan


    چکیده انگلیسی:

    Prediction of clean hydrogen production via biomass gasification by supervised machine learning algorithms was studied. Lab-scale gasification studies were performed in a steel fixed bed updraft gasifier having a cyclone separator. Pure oxygen, and dried air with varying flow rates (0.05e0.3 L/min) were applied to produce syngas (H2, CH4, CO). Gas compositions were monitored via on-line gas analyzer. Various regression models were created by using different Machine Learning (ML) algorithms which are Linear Regression (LR), K Nearest Neighbors (KNN) Regression, Support Vector Machine Regression (SVMR) and Decision Tree Regression (DTR) algorithms to predict the value of H2 concentration based on the other parameters that are time, temperature, CO, CO2, CH4, O2 and heating value. The highest hydrogen value in syngas was found around 35% vol. after gasification experiments with higher heating value (HHV) of approximately 3400 kcal/m30.05 L/min and 0.015 L/min were the optimum flow rates for dried air and pure oxygen, respectively. In modeling section, it was observed that H2 concentrations were being reflected effectively by the concentrations estimated through the proposed model structures, and by having r2 values of 0.99 which were ascertained between actual and model results.
    Keywords: Machine learning algorithms | Gasification | Biomass | Hydrogen


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 9
    حجم فایل: 960 کیلوبایت

    قیمت: رایگان


    توضیحات اضافی:




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