Сибирский федеральный университет

Тип публикации: статья из журнала

Год издания: 2022

Идентификатор DOI: 10.3390/su142013083

Ключевые слова: biofuel production, biogas, carbon dioxide, oil sludge, pyrolysis, supercritical fluid extraction, waste-to-energy

Аннотация: This article is a compilation of interdisciplinary studies aimed at ensuring the environmental, political, and economic sustainability of oil and gas-producing countries with a focus on areas with many years of permafrost. One of the main concepts adopted in this research was the desire to show that confronting various energy lobbies is not mandatory and that it is necessary to find compromises by finding and introducing innovative technologies for integrated development for the benefit of society, industry, and the state. This is particularly relevant due to the increasing share of hard-to-recover hydrocarbon reserves, widely represented in the fields of the Eastern Siberian Arctic, and because Russia is the leader in flare emissions. We thus present the relevance of using these gases as industrial waste while reducing the carbon footprint. The technology of biofuel production based on the use of supercritical liquid extraction in a well extractor is presented as a result of the development of the presented experimental devices representing the investigation of the processes of extraction in wells and reactors for the distillation of hydrocarbons from heavy oil components. The obtained yield of the desired product (hydrogen) of the thermocatalytic pyrolysis of the test extract was in the range of 44 to 118 L/h, depending on the catalyst. This information can help inform the direction of future ecological engineering activities in the Eastern Siberian Arctic region. © 2022 by the authors.

Журнал: Sustainability (Switzerland)

Выпуск журнала: Vol. 14, Is. 20

Номера страниц: 13083

ISSN журнала: 20711050

Издатель: MDPI

• 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)
• 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)
• 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)
• 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)
• 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)
• Tsygankova E.V. (Department of Foreign Languages for Natural Science, Siberian Federal University, Krasnoyarsk, 660041, Russian Federation)
• 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)
• Sergienko R.B. (Machine Learning Department, Gini Gmbh, Munich, 80339, Germany)

• Scopus