Сибирский федеральный университет

Тип публикации: статья из журнала

Год издания: 2022

Идентификатор DOI: 10.3390/en15228346

Ключевые слова: hydrogen production, industrial waste, non-condensable gases, oil sludge, propane pyrolysis, stirred-tank reactor, waste-to-energy

Аннотация: The present study is focused on improving the technology for deep oil sludge processing by pyrolysis methods, considered to be the most promising technology for their environmentally friendly utilization, in which a significant yield of fuel products is expected. The technology developed by the authors of this study is a two-stage process. The first stage, pyrolysis of oil sludge, was investigated in previous papers. A significant yield of non-condensable gases was obtained. This paper presents a study of the second stage of complex deep processing technology—pyrolysis of non-condensable gases (purified propane) using a stirrer with the help of the developed experimental setup. The expected benefit of using the stirrer is improved heat transfer due to circumferential and radial-axial circulation of the gas flow. The effect of a stirrer on the yield of final target decomposition products—H2-containing mixtures and H2 generated during non-catalytic (medium-temperature) and catalytic pyrolysis of non-condensable gases obtained by pyrolysis of oil sludge are estimated. Ni catalyst was used for catalytic pyrolysis. The study shows that the application of the stirrer leads to increasing in H2-containing mixtures and H2 concentrations. In particular, during the whole reaction time (10 h), the average H2 concentration in pyrolysis gas during catalytic pyrolysis increased by ~5.3%. In this case, the optimum reaction time to produce H2 was 4 h. The peak H2 concentration in the pyrolysis gas at reaction temperature 590 ± 10 °C was: 66.5 vol. % with the stirrer versus 62 vol. % without the stirrer with an error of ±0.4 %. A further increase in reaction time is cost-effective in order to obtain H2-containing mixtures. © 2022 by the authors.

Журнал: Energies

Выпуск журнала: Vol. 15, Is. 22

Номера страниц: 8346

ISSN журнала: 19961073

Издатель: MDPI

• Kolenchukov O.A. (Department of Technological Machines and Equipment of Oil and Gas Complex, School of Petroleum and Natural Gas Engineering, Siberian Federal University, Krasnoyarsk, 660041, Russian Federation)
• Bashmur K.A. (Department of Technological Machines and Equipment of Oil and Gas Complex, School of Petroleum and Natural Gas Engineering, Siberian Federal University, Krasnoyarsk, 660041, Russian Federation)
• Bukhtoyarov V.V. (Department of Technological Machines and Equipment of Oil and Gas Complex, School of Petroleum and Natural Gas Engineering, Siberian Federal University, Krasnoyarsk, 660041, Russian Federation, Digital Material Science, New Materials and Technologies, Bauman Moscow State Technical University, Moscow, 105005, Russian Federation)
• Kurashkin S.O. (Digital Material Science, New Materials and Technologies, Bauman Moscow State Technical University, Moscow, 105005, Russian Federation, Information-Control Systems Department, Institute of Computer Science and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, 660037, Russian Federation, Laboratory of Biofuel Compositions, Siberian Federal University, Krasnoyarsk, 660041, Russian Federation)
• Tynchenko V.S. (Department of Technological Machines and Equipment of Oil and Gas Complex, School of Petroleum and Natural Gas Engineering, Siberian Federal University, Krasnoyarsk, 660041, Russian Federation, Digital Material Science, New Materials and Technologies, Bauman Moscow State Technical University, Moscow, 105005, Russian Federation, Information-Control Systems Department, Institute of Computer Science and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, 660037, Russian Federation)
• Tsygankova E.V. (Department of Foreign Languages for Natural Science, Siberian Federal University, Krasnoyarsk, 660041, Russian Federation)
• Sergienko R.B. (Machine Learning Department, Gini Gmbh, Munich, 80339, Germany)
• Kukartsev V.V. (Digital Material Science, New Materials and Technologies, Bauman Moscow State Technical University, Moscow, 105005, Russian Federation, Department of Informatics, Institute of Space and Information Technologies, Siberian Federal University, Krasnoyarsk, 660041, Russian Federation, Department of Information Economic Systems, Institute of Engineering and Economics, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, 660037, Russian Federation)

• Scopus