Harnessing the future: Exploring digital twin applications and implications in renewable energy
The extensive use of conventional oil and gas energy resources has significantly impacted the planet, accelerating global warming and climate change. A key solution to this issue is the shift from fossil fuels to renewable energy (RE) sources. However, integrating renewable energy for transportation...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | Energy Nexus |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772427125000567 |
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| author | Concetta Semeraro Haya Aljaghoub Hamad Khalid Mohamed Hussain Al-Ali Mohammad Ali Abdelkareem Abdul Ghani Olabi |
| author_facet | Concetta Semeraro Haya Aljaghoub Hamad Khalid Mohamed Hussain Al-Ali Mohammad Ali Abdelkareem Abdul Ghani Olabi |
| author_sort | Concetta Semeraro |
| collection | DOAJ |
| description | The extensive use of conventional oil and gas energy resources has significantly impacted the planet, accelerating global warming and climate change. A key solution to this issue is the shift from fossil fuels to renewable energy (RE) sources. However, integrating renewable energy for transportation, power generation, and energy storage presents challenges due to its intermittent nature and reliance on external factors. A digital twin (DT) is an effective way to tackle these challenges. This technology utilizes adaptive models to simulate the real-time performance of physical systems in a digital environment, helping to predict and prevent potential system failures. This paper comprehensively reviews the latest research on the context, applications, lifecycle, functions, and architecture of digital twin technology in renewable energy systems. |
| format | Article |
| id | doaj-art-871d2a4dffc043f5b379b38d5529291b |
| institution | OA Journals |
| issn | 2772-4271 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Nexus |
| spelling | doaj-art-871d2a4dffc043f5b379b38d5529291b2025-08-20T02:07:20ZengElsevierEnergy Nexus2772-42712025-06-011810041510.1016/j.nexus.2025.100415Harnessing the future: Exploring digital twin applications and implications in renewable energyConcetta Semeraro0Haya Aljaghoub1Hamad Khalid Mohamed Hussain Al-Ali2Mohammad Ali Abdelkareem3Abdul Ghani Olabi4Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah, , United Arab Emirates; Department of Industrial and Management Engineering, University of Sharjah, Sharjah, United Arab Emirates; Corresponding author at: Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah, , United Arab EmiratesSustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah, , United Arab EmiratesSustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah, , United Arab EmiratesSustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah, , United Arab EmiratesSustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah, , United Arab EmiratesThe extensive use of conventional oil and gas energy resources has significantly impacted the planet, accelerating global warming and climate change. A key solution to this issue is the shift from fossil fuels to renewable energy (RE) sources. However, integrating renewable energy for transportation, power generation, and energy storage presents challenges due to its intermittent nature and reliance on external factors. A digital twin (DT) is an effective way to tackle these challenges. This technology utilizes adaptive models to simulate the real-time performance of physical systems in a digital environment, helping to predict and prevent potential system failures. This paper comprehensively reviews the latest research on the context, applications, lifecycle, functions, and architecture of digital twin technology in renewable energy systems.http://www.sciencedirect.com/science/article/pii/S2772427125000567Digital twinCyber-physical systemsRenewable energyOptimizationSolar EnergyWind Energy |
| spellingShingle | Concetta Semeraro Haya Aljaghoub Hamad Khalid Mohamed Hussain Al-Ali Mohammad Ali Abdelkareem Abdul Ghani Olabi Harnessing the future: Exploring digital twin applications and implications in renewable energy Energy Nexus Digital twin Cyber-physical systems Renewable energy Optimization Solar Energy Wind Energy |
| title | Harnessing the future: Exploring digital twin applications and implications in renewable energy |
| title_full | Harnessing the future: Exploring digital twin applications and implications in renewable energy |
| title_fullStr | Harnessing the future: Exploring digital twin applications and implications in renewable energy |
| title_full_unstemmed | Harnessing the future: Exploring digital twin applications and implications in renewable energy |
| title_short | Harnessing the future: Exploring digital twin applications and implications in renewable energy |
| title_sort | harnessing the future exploring digital twin applications and implications in renewable energy |
| topic | Digital twin Cyber-physical systems Renewable energy Optimization Solar Energy Wind Energy |
| url | http://www.sciencedirect.com/science/article/pii/S2772427125000567 |
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