A Review on Digital Twins and Its Application in the Modeling of Photovoltaic Installations
Dorotea Dimitrova Angelova,
Diego Carmona Fernández,
Manuel Calderón Godoy,
Juan Antonio Álvarez Moreno and
Juan Félix González González ()
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Dorotea Dimitrova Angelova: Department of Applied Physic, Industrial Engineering School, University of Extremadura, Avenida de Elvas s/n, 06006 Badajoz, Spain
Diego Carmona Fernández: Department of Electrical Engineering, Electronics and Automation, Industrial Engineering School, University of Extremadura, Avenida de Elvas s/n, 06006 Badajoz, Spain
Manuel Calderón Godoy: Department of Electrical Engineering, Electronics and Automation, Industrial Engineering School, University of Extremadura, Avenida de Elvas s/n, 06006 Badajoz, Spain
Juan Antonio Álvarez Moreno: Department of Electrical Engineering, Electronics and Automation, Industrial Engineering School, University of Extremadura, Avenida de Elvas s/n, 06006 Badajoz, Spain
Juan Félix González González: Department of Applied Physic, Industrial Engineering School, University of Extremadura, Avenida de Elvas s/n, 06006 Badajoz, Spain
Energies, 2024, vol. 17, issue 5, 1-29
Abstract:
Industry 4.0 is in continuous technological growth that benefits all sectors of industry and society in general. This article reviews the Digital Twin (DT) concept and the interest of its application in photovoltaic installations. It compares how other authors use the DT approach in photovoltaic installations to improve the efficiency of the renewable energy generated and consumed, energy prediction and the reduction of the operation and maintenance costs of the photovoltaic installation. It reviews how, by providing real-time data and analysis, DTs enable more informed decision-making in the solar energy sector. The objectives of the review are to study digital twin technology and to analyse its application and implementation in PV systems.
Keywords: Industry 4.0; digital twin (DT); review; photovoltaic installations; renewable energies (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:5:p:1227-:d:1350961
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