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dc.contributor.authorRubanenko, Olenauk
dc.contributor.authorBelik, М.uk
dc.contributor.authorRubanenko, О.uk
dc.contributor.authorРубаненко, О. О.uk
dc.date.accessioned2025-09-01T09:49:16Z
dc.date.available2025-09-01T09:49:16Z
dc.date.issued2025uk
dc.identifier.citationBelik, M., Rubanenko, O. Sensitivity analysis of digital twin model for energy community PV system // Scientific Reports. 2025. Vol. 15, № 29097. Р. 1-24. DOI: https://doi.org/10.1038/s41598-025-13707-8.uk
dc.identifier.issn2045-2322uk
dc.identifier.urihttps://ir.lib.vntu.edu.ua//handle/123456789/48964
dc.description.abstractThe current energy situation in Ukraine is researched, considering the analysis of damages missile attacks during the war. One of the ways to improve Ukrainian energy security is defined as decentralization of energy resources comprised with digitalization, decarbonization, democratization and deregulation (5D) increasing flexibility of the sector. The objectives are to examine in detail the 5D strategy. Distributed renewable energy sources are defined within the frame of Energy Community (EC) which was developed to adapt to current shortages in Ukrainian centralized grid. The EC digitalization is based on Digital Twin (DT) concept targeting design, monitoring, operational modifications and developing recommendations for the stable and optimal operation of photovoltaic systems. Energy community development and optimization include technical, meteorological, social, financial and environmental factors. Criterion programming was chosen as an effective solution to complex optimization problems. Sensitivity theory application is the basis for simplifying and optimizing the process of EC management. A model energy community ‘shelter city` was created. The article highlights the problem of PV modules biological corrosion and suggests ways to eliminate it. In cases when biological corrosion cannot be avoided, approaches reducing its harmful effects are proposed to help during the design stage of a PV plant.uk_UA
dc.language.isouk_UAuk_UA
dc.publisherSpringer Natureuk
dc.relation.ispartofScientific Reports. 2025. Vol. 15, № 29097 : 1-24.uk
dc.subject5D strategy of energy transitionuk
dc.subjectPhotovoltaic systemuk
dc.subjectEnergy communityuk
dc.subjectDigital twinuk
dc.subjectSensitivity analysesuk
dc.subjectBiological corrosionuk
dc.titleSensitivity analysis of digital twin model for energy community PV systemuk
dc.typeArticle, Scopus-WoS
dc.relation.referenceshttps://www.nature.com/articles/s41598-025-13707-8uk
dc.identifier.doihttps://doi.org/10.1038/s41598-025-13707-8uk
dc.identifier.orcidhttps://orcid.org/https://orcid.org/0000-0002-2660-182Xuk


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