Digital transformation of energy allocation: From data transparency to socio-economic justice
Victor Zamlynskyi, Stanislav GorodnichenkoThe relevance stems from the fact that, under the conditions of war and post-war recovery in Ukraine, the digital transformation of energy governance is becoming a key instrument for overcoming energy poverty, regional disparities, and a crisis of trust in energy policy. The organisation of digital energy allocation determines the social legitimacy of the energy transition and the recovery model. The purpose of the article was to substantiate the concept of digitally fair energy allocation and to develop a methodological framework for assessing the impact of digital tools on social justice and economic efficiency in distribution systems. The study systematised contemporary approaches to energy justice, analysed digital technologies in the energy sector, and applied comparative and systems analysis methods. On this basis, a conceptual “data-trust-justice” framework was developed, and a quasi-experimental design for evaluating digital allocation policies at the feeder level was formulated. The research established that the traditional centralised model of energy allocation, built on fragmented data and low transparency, reproduces regional disparities, energy poverty, and distrust towards regulatory decisions. Within the study, a new concept of “digitally fair energy allocation” was developed, combining economic efficiency and transparency with guaranteed access to basic energy services for vulnerable groups. The role of intelligent metering systems, big data analytics, artificial intelligence methods, and blockchain-based registries in forming an integrated “data-trust-justice” chain was analysed. A structure of digital allocation scenarios based on different principles of distributive justice was proposed, and measurable targets of implementation for distribution system operators were defined. The results showed that integrating justice criteria into digital allocation models helps to avoid socially regressive outcomes and strengthens the legitimacy of energy policy. The findings can be used by regulators, distribution system operators, central and local authorities, and energy and infrastructure project managers to design, monitor, and evaluate digital reforms in energy allocation, while considering principles of social equality and economic security
References
- Brych, V., Shuvar, A., Moroz, V., & Pankevych, V. (2025). Economic potential of renewable energy for business: Strategies of decarbonisation and climate adaptation in Ukraine and Europe. Economic Analysis, 35(3), 180-194. doi: 10.35774/econa2025.03.180.
- Dovgal, O. (2022). Organizational and economic principles of creation and implementation of a circular business model of development. Ukrainian Black Sea Region Agrarian Science, 26(4), 40-50. doi: 10.56407/2313-092X/2022-26(4)-4.
- Dovgal, O., & Potryvaieva, N. (2024). Practical study of the implementation of circular economy at agricultural enterprises of Ukraine. Ukrainian Black Sea Region Agrarian Science, 28(1), 9-18. doi: 10.56407/bs.agrarian/1.2024.09.
- Enescu, F.M., Drǎguşin, S.-A., Boştinaru, R.-N., Marica, M.-C., Nicolăescu, C.-G., Frîncu, N.-C., & Bizon, N. (2025). Energy market: A review of current solutions, trends, issues, and future directions based on the blockchain, internet of things and artificial intelligence. Results in Engineering, 28, article number 107736. doi: 10.1016/j.rineng.2025.107736.
- Horbal, N.I., & Plish, I.V. (2021). Circular business models for sustainable development of Ukrainian enterprises. Journal of Lviv Polytechnic National University. Series of Economics and Management Issues, 5(1), 15-29. doi: 10.23939/semi2021.01.015.
- Jenkins, K., McCauley, D., Heffron, R., Stephan, H., & Rehner, R. (2016). Energy justice: A conceptual review. Energy Research & Social Science, 11, 174-182. doi: 10.1016/j.erss.2015.10.004.
- Košovská, I., Hallová, M., Váryová, I., Šilerová, E., Hennyeyová, K., & Cihelka, P. (2022). The digital economy in the context of digital transformation and their impact on the electronification of accounting processes in the Slovak Republic. AGRIS on-line Papers in Economics and Informatics, 14(4), 53-65. doi: 10.7160/aol.2022.140405.
- Lehmann, P., Gawel, E., Meier, J.-N., Reda, M.J., Reutter, F., & Sommer, S. (2024). Spatial distributive justice has many faces: The case of siting renewable energy infrastructures. Energy Research & Social Science, 118, article number 103769. doi: 10.1016/j.erss.2024.103769.
- Lohr, C., Peterssen, F., Schlemminger, M., Bensmann, A., Niepelt, R., Brendel, R., & Hanke-Rauschenbach, R. (2024). Integration of disamenity costs and equality considerations regarding onshore wind power expansion and distribution into energy system optimization models. Energy, Sustainability and Society, 14, article number 58. doi: 10.1186/s13705-024-00489-6.
- Nakonechna, O., & Gorodnichenko, S. (2025). Distributed ledger technologies for control and accounting-analytical support in the digital economy. Ukrainian Journal of Applied Economics and Technology, 4, 215-221. doi: 10.36887/2415-8453-2025-4-42.
- National energy and climate plan of Ukraine 2025-2030. (2025). Retrieved from https://www.energy-community.org/dam/jcr:9d144283-08ed-410b-a670-7fd15c7782f2/1_NECP_EnMachineTranslation.pdf.
- Parkhomets, M., Putsenteilo, P., & Uniiat, L. (2020). Intensification of the use of renewable energy sources – the objective need to improve resource conservation and increase the competitiveness of production of products of the agrarian sector of Ukraine. Innovative Economy, 5-6, 122-132. doi: 10.37332/2309-1533.2020.5-6.16
- Pavlova, I.O. (2025). The essence of inclusive development of rural-urban agglomerations. In Theoretical and methodological foundations and practical aspects of inclusive development of rural-urban agglomerations in Ukraine (pp. 39-65). Odesa: Astroprint.
- Rojek, I., Mikołajewski, D., & Prokopowicz, P. (2025). The impact of novel artificial intelligence methods on energy productivity, industrial transformation and digitalization within the framework of energy economics, efficiency and sustainability. Energies, 18(19), article number 5138. doi: 10.3390/en18195138.
- Segovia-Hernández, J.G., Contreras-Zarazúa, G., & Ramírez-Márquez, C. (2023). Sustainable design of the water-energy-food nexus: A literature review. RSC Sustainability, 1, 1332-1353. doi: 10.1039/d3su00110e.
- Sikorska, O.V., Samsoniuk, D.Yu., & Bohatova, A.S. (2024). The use of blockchain technologies in the energy sector. In Materials of the LIII scientific and technical conference of VNTU departments. Vinnytsia: Vinnytsia National Technical University.
- Sovacool, B.K., & Dworkin, M.H. (2015). Energy justice: Conceptual insights and practical applications. Applied Energy, 142, 435-444. doi: 10.1016/j.apenergy.2015.01.002.
- State Statistics Service of Ukraine. (2023). Ukraine in figures, 2022. Kyiv: State Statistics Service of Ukraine.
- Sukhodolia, O.M. (2022). Artificial intelligence in the energy sector. Kyiv: National Institute for Strategic Studies. doi: 10.53679/NISS-analytrep.2022.09.
- Ukraine energy market observatory: Quarterly report Q2 2025. (2025). Retrieved from https://euneighbourseast.eu/wp-content/uploads/2025/08/q2_2025_observatory-report.pdf .
- Valsan, V., Vuppala, N.S.K., Koganti, S.S.H., Kalla, L.S.E., Pappala, K.A., Kanakasabapathy, P., & Ramesh, M.V. (2025). Conceptual study – artificial intelligence-integrated blockchain micromarkets for sustainable energy. Renewable and Sustainable Energy Reviews, 214, article number 115482. doi: 10.1016/j.rser.2025.115482.
- Zhigar, N., & Petryniak, A. (2025). Adaptation of financial strategies of enterprises to the challenges of wartime and post-war recovery. Economic journal of Lesya Ukrainka Volyn National University, 2(42), 82-89. doi: 10.29038/2786-4618-2025-02-82-89.