Modeling of Innovation Research Clusters in the Field of Radioactive Waste Utilization | Journal of Engineering Sciences

Modeling of Innovation Research Clusters in the Field of Radioactive Waste Utilization

Author(s): Chernysh Ye.1*, Plyatsuk L.1, Azarov S.2, Tsutsumiuchi K.3, Kotova I.1

Affiliation(s): 
1 Sumy State University, 2, Rymskogo-Korsakova St., 40007, Sumy, Ukraine;
2 Institute for Nuclear Research, National Academy of Sciences of Ukraine, 47, Nauky Ave., 03680, Kyiv, Ukraine;
3 Chubu University, 1200 Matsumoto, Kasugai, Aichi 487-8501, Japan.

*Corresponding Author’s Address: [email protected]

Issue: Volume 7, Issue 2 (2020)

Dates:
Paper received: July 5, 2020
The final version of the paper received: September 19, 2020
Paper accepted online: October 3, 2020

Citation:
Chernysh Ye., Plyatsuk L., Azarov S., Tsutsumiuchi K., Kotova I. (2020). Modeling of innovation research clusters in the field of radioactive waste utilization. Journal of Engineering Sciences, Vol. 7(2), pp. H1–H9, doi: 10.21272/jes.2020.7(2).h1

DOI: 10.21272/jes.2020.7(2).h1

Research Area:  CHEMICAL ENGINEERING: Environmental Protection

Abstract. The situation with the processing and disposal of radioactive waste, including the liquid phase, is not resolved. Many questions remain regarding the environmental safety of processes and the technological implementation of the most energy-efficient solutions. Thus, the article’s main attention is paid to theoretical studies of the development innovation directions of radioactive waste processing using the VOSviewer software tool. The clusters were formed under modeling directions of application of radiolysis for radioactive waste utilization: the red cluster includes research of radionuclide sorption processes and their concentration for radiolysis of liquid media; the green cluster concerns factors of influence on water radiolysis in hydrogen production; the yellow cluster includes research areas of natural processes related to radiolysis; the blue cluster is connected with mathematical modeling of radiolysis process with fuel production and engineering implementation and the purple cluster related to the processes of radioactive waste management and disposal as well as the application of radiolysis for this purpose. The cluster simulations of nanoparticle and radiolysis applications for radioactive waste treatment have resulted in a new energy recovery strategy. The development of new matrix materials in combination with nanoparticles for the agglomeration and concentration of radionuclides is a promising innovation method improving radiolysis under hydrogen production from radioactive waste.

Keywords: radioactive waste, nanoparticle, radiolysis, cluster simulations, software tool.

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