Marine energy digitalization digital twin's approaches

被引:27
作者
Nezhad, Meysam Majidi [1 ]
Neshat, Mehdi [2 ]
Sylaios, Georgios [3 ]
Garcia, Davide Astiaso [4 ]
机构
[1] Malardalen Univ, Sch Business Soc & Engn, Dept Sustainable Energy Syst, SE-72220 Vasteras, Sweden
[2] Torrens Univ Australia, Ctr Artificial Intelligence Res & Optimizat, Brisbane, Qld, Australia
[3] Democritus Univ Thrace, Dept Environm Engn, Lab Ecol Engn & Technol, Xanthi 67100, Greece
[4] Sapienza Univ Rome, Dept Planning Design & Technol Architecture, Via Flaminia 72, I-00196 Rome, Italy
基金
欧盟地平线“2020”;
关键词
Digital twins; Energy digitalization; Applications and platforms; European Countries; Marine energy; Artificial Intelligence; MODEL; OPTIMIZATION; TECHNOLOGY; MANAGEMENT; AUTONOMY; SYSTEM; FUTURE;
D O I
10.1016/j.rser.2023.114065
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Digital twins (DTs) promise innovation for the marine renewable energy sector using modern technological advances and the existing maritime knowledge frameworks. The DT is a digital equivalent of a real object that reflects and predicts its behaviours and states in a virtual space over its lifetime. DTs collect data from multiple sources in pilots and leverage newly introduced low-cost sensor systems. They synchronize, homogenize, and transmit the data to a central hub and integrate it with predictive and learning models to optimize plant performance and operations. This research presents critical aspects of DT implementation challenges in marine energy digitalization DT approaches that use and combine data systems. Firstly, the DT and the existing framework for marine knowledge provided by systems are presented, and the DT's main development steps are discussed. Secondly, the DT implementing main stages, measurement systems, data harmonization and preprocessing, modelling, comprehensive data analysis, and learning and optimization tools, are identified. Finally, the ILIAD (Integrated Digital Framework for Comprehensive Maritime Data and Information Services) project has been reviewed as a best EU funding practice to understand better how marine energy digitalization DT's approaches are being used, designed, developed, and launched.
引用
收藏
页数:18
相关论文
共 158 条
[1]   Semantic data management for the development and continuous reconfiguration of smart products and systems [J].
Abramovici, Michael ;
Goebel, Jens Christian ;
Dang, Hoang Bao .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2016, 65 (01) :185-188
[2]  
Accenture Consulting, 2017, The digital Thread Imperative
[3]  
Acedo J., Smart SCADA and the use of digital twins in renewable energy plants, P1
[4]  
Adey S.W., 1960, Nature, V187, P269, DOI [10.2307/3007077, DOI 10.2307/3007077]
[5]   Renewable Energy System Controlled by Open-Source Tools and Digital Twin Model: Zero Energy Port Area in Italy [J].
Agostinelli, Sofia ;
Cumo, Fabrizio ;
Nezhad, Meysam Majidi ;
Orsini, Giuseppe ;
Piras, Giuseppe .
ENERGIES, 2022, 15 (05)
[6]   Cyber-Physical Systems Improving Building Energy Management: Digital Twin and Artificial Intelligence [J].
Agostinelli, Sofia ;
Cumo, Fabrizio ;
Guidi, Giambattista ;
Tomazzoli, Claudio .
ENERGIES, 2021, 14 (08)
[7]  
[Anonymous], 2019, IDC White Paper, V2019, P2019
[8]  
[Anonymous], 2020, Flexera 2020 State of the Cloud Report
[9]  
[Anonymous], 2020, Development of EU ETS, P2020, DOI DOI 10.2837/193237
[10]  
[Anonymous], 1999, INCOSE International Symposium, DOI [10.1002/(SICI)1520-6858(1998)1:4<267::AID-SYS3>3.0.CO