Significance Evaluation of the Economic Decarbonization Directions

Significance Evaluation of the Economic Decarbonization Directions

DOI: 10.34130/2070-4992-2021-1-4-443

Full article (in Russian )

Sadov S. L. — Doctor of Economics, Leading Researcher, Institute of Social-Economical and Energy Problems of the North FRC «Komi Science Center of Ural Division of Russian Academy of Sciences», Syktyvkar, Russia, E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

The article is devoted to solving the problem of finding a comparative numerical assessment of the significance of both the new and long-use sources of energy and technologies leading to a decrease in the carbon footprint of the energy and the entire economy, i.e. their decarbonization. Problem is solved using the hierarchy analytical process. The choice of the method was determined by the fact that it, using pair comparative assessments as the initial data, allows not only to streamline the options for their impact on the main goal — decarbonization of the economy — but also numerically eval-uate the degree of this influence. Nine directions of decarbonization are selected for evaluation. These are not included in the transfer of transport on gas engine fuel and electric craving, since they are transient in the long-term process of de-carbonization of the economy. For the same reason, the replacement of coal by gas is not considered during the produc-tion of electricity — it also does not solve the problem of decarbonization and is an intermediate step in motion to it.
According to the results of the task solution the decarbonization direction are divided into three groups. The first combines those five directions that are the basis of decarbonization — without them it is impossible under modern condi-tions. The second has renewable energy sources — wind and solar power plants. They are most promising for decentral-ized power supply. In the third group, power plants with geographically limited application capabilities and preferred for local energy supply are preferred (the transfer of transport on fuel obtained by the processing of biological raw materials) is represented. The continuation of this study arises from the fact that the founding of the decarbonization significance indicators are discover the possibilities of a more reasonable choice of their combinations under account the specifics of various natural zones, countries and regions. At the same time, when preparing the source data, an expert assessment of the difficulties of their implementation, differences in applicability at different levels of economics, complementarity and interchangeability is required.

Keywords: decarbonization directions, numerical assessment of significance, renewable energy sources, energy effi-ciency, hierarchy analytical process.

References

1. EU Green Deal (carbon border adjustment mechanism). Available at: https://ec.europa.eu/info/law/better-regulation/have-your-say/initiatives/12228-Carbon-Border-Adjustment-Mechanism (accessed: 05.10.2021).

2. Volobuev A. Mine`konomrazvitiya dobavilo dekarbonizaciyu v strategiyu e`nergoe`ffektivnosti [The Ministry of Economic Development has added decarbonization to the energy efficiency strategy]. Available at: https://www.vedomosti.ru/economics/ articles/2021/07/12/877722-minekonomrazvitiya-dobavilo-dekarbonizatsiyu (accessed: 10/18/2021). (In Russ.).

3. Brodach M. M., Shilkin N. V. Decarbonization — a tool to stimulate energy saving. E`nergosberezhenie [Energy saving], 2021, no. 7, pp. 4—12. (In Russ.)

4. Pudelyakin N. Power supply of a country house. E`lektrotexnicheskij ry`nok [Electrotechnical market], 2021, no. 3 (99), pp. 14—18. (In Russ.)

5. Bokris D. O.M., Veziroglu T. N. Estimation of the cost of hydrogen as a carrier of wind and solar energy. Mezhdunarodny`j nauchny`j zhurnal «Al`ternativnaya e`nergetika i e`kologiya» (ISJAEE) [International Scientific Journal "Alternative Energy and Ecology" (ISJAEE)], 2018, no 10—12, pp. 34—42. doi: 10.15518/isjaee.2018.10-12.034-042. (In Russ.)

6. Litvinenko V. S., Tsvetkov P. S., Dvoynikov M. V., Buslaev G. V. Barriers to the implementation of hydrogen initiatives in the context of sustainable development of global energy. Zapiski Gornogo instituta [Notes of the Mining Institute], 2020, vol. 244, pp. 428—438. doi: 10.31897/PMI.2020.4.5. (In Russ.)

7. Reshetnikova M. Kak krupnejshie avtokoncerny` perexodyat na vy`pusk e`lektromobilej [How the largest automakers are switching to the production of electric vehicles]. Available at: https://trends.rbc.ru/trends/industry/60a392c69a7947c6528c732b (accessed: 13.11.2021). (In Russ.)

8. Konoplyanik A. Decarbonization of the gas industry in Europe and prospects for Russia. Neftegazovaya vertikal` [Oil and gas vertical], 2020, no 17, pp. 35—44. (In Russ.)

9. Modelirovanie scenariev dekarbonizacii i adaptacii: rol` v prinyatii politicheskix i e`konomicheskix reshenij [Modeling of decarboniza-tion and adaptation scenarios: the role in political and economic decision-making]. Available at: https://energy.skolkovo.ru/downloads/documents/SEneC/Research/SKOLKOVO_EneC_RU_Modeling.pdf (accessed: 09.11.2021). (In Russ.)

10. Saati T. Prinyatie reshenij. Metod analiza ierarxij [Decision-making. Method of hierarchy analysis]. Translated from English by R.G. Vachnadze. Moscow: Radio and Communications, 1993. 278 p. (In Russ.)

11. Thomas L. S., Vargas L.G., 2001. Models, Methods, Concepts & Applications of the Analytic Hierarchy Process. Boston: Kluwer Aca-demic. pp. 345. doi: 10.1007/978-1-4614-3597-6.

12. Sadov S. L. Finding the potential contribution of the fuel and energy sectors to increase the energy efficiency of the economy. Corpo-rate governance and innovative development of the economy of the North: Bulletin of the Research Center for Corporate Law, Management and Venture Investment of Syktyvkar State University, 2019, no 4, pp. 92—98. DOI: 10.34130/2070-4992-2019-4-92-98.

13. Hellman O., 1980. A special problem of large-scale forest management. European Journal of Operational Research, vol. 4(1), pp. 16—18.

14. Hellman O., 1981. On the optimal control of the growth of a forest in a special case. Journal of Optimization Theory and Applications, vol. 34(4), pp. 579—591.

15. Hellman O., 1982. A Mathematical Model for an Energy Forest. Management Science, vol. 28(11), pp. 1247—1257.

For citation: Sadov S. L. Significance evaluation of the economic decarbonization directions. Corporate Gov-ernance and Innovative Economic Development of the North: Bulletin of the Research Center of Corporate Law, Management and Venture Investment of Syktyvkar State University, 2021, vol. 1, issue 4. Р. 443—452. DOI: 10.34130/2070-4992-2021-1-4-443 (In Russian).