New breakthrough: RUDN University ecologists patented a method for producing biofuel
The 21st century is facing serious environmental problems: natural resources are being depleted, greenhouse gas emissions are increasing, and large amounts of wastewater are being generated that are poorly treated. These problems are exacerbated by dwindling fossil fuel supplies, clean water, and inadequate sanitation. Therefore, waste management facilities use wastewater as a potential source for energy generation, nutrient recovery and then reuse the treated wastewater for agricultural/domestic purposes. Among these enterprises, biological mitigation of the negative impacts of wastewater using microalgae is considered as an energy-efficient and cost-effective alternative. It provides the means to subsequently convert valuable biomass into biofuels.
The method for producing biofuel involves preliminary mixing of microalgae biomass with water. Hydrothermal liquefaction produces a microbiological suspension in one reactor block heated to 600°C at a pressure of
“The resulting algae biomass can be converted into biodiesel, biogas and bioethanol. Such an integrated approach could potentially provide solutions not only for effectively reducing wastewater emissions and CO2 emissions, but also for generating additional income through the use of microalgae biomass for biofuel production,” Anna Kurbatova, Associate Professor at the Institute of Ecology, Candidate of Environmental Sciences.
For reference:
Patent for invention No. 2794959 “Method for producing biofuels”.
RUDN summarized the results of the scientific competition "Project Start: work of the science club ". Students of the Faculty of Physics, Mathematics and Natural Sciences have created a project for a managed queuing system using a neural network to redistribute resources between 5G segments. How to increase flexibility, make the network fast and inexpensive and reach more users — tell Gebrial Ibram Esam Zekri ("Fundamental Computer Science and Information Technology", Master's degree, II course) and Ksenia Leontieva ("Applied Mathematics and Computer Science", Master's degree, I course).
The National Demographic Report, 2023 Demographic Well-Being of Russian Regions (hereinafter - the National Demographic Report) was prepared by the scientific team of the Institute of Demographic Studies of the Federal Research Center of the Russian Academy of Sciences, the Vologda Scientific Center of the Russian Academy of Sciences, Peoples' Friendship University of Russia, the Center for Family and Demography of the Academy of Sciences of the Republic of Tatarstan, as well as with the participation of leading scientists from the Republic of Bashkortostan, Stavropol Krai, Volgograd, Ivanovo, Kaliningrad, Nizhny Novgorod, Sverdlovsk Oblasts and Khanty-Mansi Autonomous Okrug–Yugra.
RUDN summarized the results of the scientific competition "Project Start: work of the science club ". Students of the Faculty of Physics, Mathematics and Natural Sciences have created a project for a managed queuing system using a neural network to redistribute resources between 5G segments. How to increase flexibility, make the network fast and inexpensive and reach more users — tell Gebrial Ibram Esam Zekri ("Fundamental Computer Science and Information Technology", Master's degree, II course) and Ksenia Leontieva ("Applied Mathematics and Computer Science", Master's degree, I course).
What is your first association with the word “laboratory”? Flasks and beakers? Microscopes and centrifuges? Yes, many of us would answer the same way.
The National Demographic Report, 2023 Demographic Well-Being of Russian Regions (hereinafter - the National Demographic Report) was prepared by the scientific team of the Institute of Demographic Studies of the Federal Research Center of the Russian Academy of Sciences, the Vologda Scientific Center of the Russian Academy of Sciences, Peoples' Friendship University of Russia, the Center for Family and Demography of the Academy of Sciences of the Republic of Tatarstan, as well as with the participation of leading scientists from the Republic of Bashkortostan, Stavropol Krai, Volgograd, Ivanovo, Kaliningrad, Nizhny Novgorod, Sverdlovsk Oblasts and Khanty-Mansi Autonomous Okrug–Yugra.