Smart grid projects in the pan-European energy system
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- Category: Content №6 2023
- Last Updated on 23 December 2023
- Published on 30 November -0001
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Authors:
A. Kwilinski, orcid.org/0000-0001-6318-4001, WSB University, Dabrowa Gornicza, the Republic of Poland; The London Academy of Science and Business, London, the United Kingdom of Great Britain and Northern Ireland
S.Kolosok*, orcid.org/0000-0002-5133-9878, BiEM, Sumy State University, Sumy, Ukraine
A.Artyukhov, orcid.org/0000-0003-1112-6891, University of Economics in Bratislava, Bratislava, the Slovak Republic
I.Vakulenko, orcid.org/0000-0002-6994-833X, BiEM, Sumy State University, Sumy, Ukraine; Institute of Economic Research, Slovak Academy of Sciences, Bratislava, the Slovak Republic
Y.Kovalenko, orcid.org/0000-0002-2111-9372, BiEM, Sumy State University, Sumy, Ukraine
* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2023, (6): 100 - 106
https://doi.org/10.33271/nvngu/2023-6/100
Abstract:
Purpose. To provide a comparative and comprehensive analysis of the smart grid projects funded by the H2020 ENERGY and FP7-ENERGY programs.
Methodology. As part of the text analysis, the authors evaluated smart grid projects’ results in a sample using text mining methods. Based on statistical analysis and concept-based method, the most significant outcomes of smart grid projects were identified.
Findings. A detailed review of the results shows that project teams of the H2020 ENERGY and FP7-ENERGY programs mostly relied on the existing experience which helped to form further development for standardization of tools, conduct planning, or derive specific management actions aimed at smart energy consumption. The majority of these solutions were applied for digitalizing small commercial consumers and for integrating isolated renewable sources in the most effective way. The projects considered the possibilities of electric vehicles used to solve environmental problems and balancing unstable electricity production from renewable sources with Li-ion stationary batteries, tools for effective interaction of users of smart grids, and integration of isolated renewable sources in centralized energy networks.
Originality. Based on statistical and machine analysis, the most significant results of smart grid projects were identified. N‑grams of expressed keywords used in the texts of project results were used to present and visualize the textual description of smart grid projects.
Practical value. The results might be helpful for the European policymakers and scientific advisers seeking to further promote and ameliorate the pan-European energy system.
Keywords: energy grids, energy infrastructure, smart grids, information technologies, European Union
References.
1. Mentel, G., Vasilyeva, T., Samusevych, Y., Vysochyna, A., Karbach, R., & Streimikis, J. (2020). The evaluation of economic, environmental and energy security: Composite approach. International Journal of Global Environmental Issues, 19(1-3), 177-195. Retrieved from http://www.inderscience.com/ijgenvi.
2. Vasylieva, T., Pavlyk, V., Bilan, Y., Mentel, G., & Rabe, M. (2021). Assessment of energy efficiency gaps: The case for Ukraine. Energies, 14(5). https://doi.org/10.3390/en14051323.
3. Mentel, G., Vasilyeva, T., Samusevych, Y., & Pryymenko, S. (2018). Regional differentiation of electricity prices: Social-equitable approach. International Journal of Environmental Technology and Management, 21(5-6), 354-372. https://doi.org/10.1504/IJETM.2018.100583.
4. Kolosok, S., Vasylieva, T., & Lyeonov, S. (2021). Machine analysis of the UK electrical energy initiatives based on the e-petitions to the UK government and parliament. CEUR Workshop Proceedings, 2870, 1562-1573. Retrieved from https://ceur-ws.org/Vol-2870/paper116.pdf.
5. Lyulyov, O., Vakulenko, I., Pimonenko, T., Kwilinski, A., Dzwigol, H., & Dzwigol-Barosz, M. (2021). Comprehensive assessment of smart grids: Is there a universal approach? Energies, 14(12), 3497. https://doi.org/10.3390/en14123497.
6. Colak, I., Sagiroglu, S., Fulli, G., Yesilbudak, M., & Covrig, C. F. (2016). A survey on the critical issues in smart grid technologies. Renewable and Sustainable Energy Reviews, 54, 396-405. https://doi.org/10.1016/j.rser.2015.10.036.
7. Vasilyeva, T., Kuzmenko, O., Bozhenko, V., & Kolotilina, O. (2019). Assessment of the dynamics of bifurcation transformations in the economy. CEUR Workshop Proceedings, 2422, 134-146. Retrieved from https://www.scopus.com/record/display.uri?eid=2-s2.0-85071124329&origin=resultslist.
8. Tu, C., He, X., Shuai, Z., & Jiang, F. (2017). Big data issues in smart grid–A review. Renewable and Sustainable Energy Reviews, 79, 1099-1107. https://doi.org/10.1016/j.rser.2017.05.134.
9. Bilan, Y., Srovnalã-KovÃi, P., Streimikis, J., Lyeonov, S., Tiutiunyk, I., & Humenna, Y. (2020). From shadow economy to lower carbon intensity: Theory and evidence. International Journal of Global Environmental Issues, 19(1-3), 196-216. Retrieved from http://www.inderscience.com/ijgenvi.
10. Letunovska, N., Saher, L., Vasylieva, T., & Lieonov, S. (2021). Dependence of public health on energy consumption: A cross-regional analysis. E3S Web of Conferences, 250, 04014. https://doi.org/10.1051/e3sconf/202125004014.
11. IqtiyaniIlham, N., Hasanuzzaman, M., & Hosenuzzaman, M. (2017). European smart grid prospects, policies, and challenges. Renewable and Sustainable Energy Reviews, 67, 776-790. https://doi.org/10.1016/j.rser.2016.09.014.
12. Adil, A.M., & Ko, Y. (2016). Socio-technical evolution of Decentralized Energy Systems: A critical review and implications for urban planning and policy. Renewable and Sustainable Energy Reviews, 57, 1025-1037. https://doi.org/10.1016/j.rser.2015.12.079.
13. Lucas, J. N. V., Francés, G. E., & González, E. S. M. (2016). Energy security and renewable energy deployment in the EU: Liaisons Dangereuses or Virtuous Circle? Renewable and Sustainable Energy Reviews, 62, 1032-1046. https://doi.org/10.1016/j.rser.2016.04.069.
14. Kwilinski, A., Lyulyov, O., Dzwigol, H., Vakulenko, I., & Pimonenko, T. (2022). Integrative smart grids’ assessment system. Energies, 15(2), 545. https://doi.org/10.3390/en15020545.
15. Lazowski, B., Parker, P., & Rowlands, I.H. (2018). Towards a smart and sustainable residential energy culture: Assessing participant feedback from a long-term smart grid pilot project. Energy, Sustainability and Society, 8(1), 1-21. https://doi.org/10.1186/s13705-018-0169-9.
16. Van Summeren, L. F., Wieczorek, A. J., Bombaerts, G. J., & Verbong, G. P. (2020). Community energy meets smart grids: Reviewing goals, structure, and roles in Virtual Power Plants in Ireland, Belgium and the Netherlands. Energy Research & Social Science, 63, 101415. https://doi.org/10.1016/j.erss.2019.101415.
17. Smale, R., Spaargaren, G., & van Vliet, B. (2019). Householders co-managing energy systems: space for collaboration? Building Research & Information, 47(5), 585-597. https://doi.org/10.1080/09613218.2019.1540548.
18. Pallesen, T., & Jacobsen, P.H. (2018). Solving infrastructural concerns through a market reorganization: A case study of a Danish smart grid demonstration. Energy research & social science, 41, 80-88. https://doi.org/10.1016/j.erss.2018.04.005.
19. Le Ray, G., Larsen, E. M., & Pinson, P. (2018). Evaluating price-based demand response in practice – With application to the EcoGrid EU Experiment. IEEE transactions on smart grid, 9(3), 2304-2313. https://doi.org/10.1109/TSG.2016.2610518.
20. Hansen, M., & Borup, M. (2018). Smart grids and households: how are household consumers represented in experimental projects? Technology Analysis & Strategic Management, 30(3), 255-267. https://doi.org/10.1080/09537325.2017.1307955.
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