Asset Digital Twin. A Systems of Systems Engineering Approach
Grieves at Michigan University first introduced the DT concept in 2002, in the context of Product Life Cycle Management (PLM) to address a virtual / digital equivalent of the actual manufactured physical product. After M. Grieves initial contributions, the vision of a digital twin has been subject of numerous publications and whitepapers applied to a wide range of technical and business domains, targeting multiple applications and uses. Digital Twin technology is still an emerging field and continues, increasingly capturing the attention of the academic and industrial communities in multiple areas, as a backbone within the digital transformation. The growing interest of system of systems (SoS) as new generation of complex, emerging and heterogenous systems to realize a common goal, has become the focus of various applications; including military, security, aerospace, manufacturing, service industry, health care and energy industry among many others. This lecture will share a Systems of Systems Engineering approach to Digital Twin for supporting industrial assets thorough the entire lifecycle, as well as the industrial experience and outlook along the Digital Twin journey.
Edmary Altamiranda, Dr.
Edmary Altamiranda has the degrees of Systems Engineer (1995), Master of Science in Control Engineering (1997) and Doctor in Applied Sciences – Intelligent Control Systems (2003) from Universidad de Los Andes, Merida – Venezuela. See more
Exascale and the convergence of HPC, Big Data, IA and IoT
The field of high-performance computing (HPC) or supercomputing refers to the construction and use of computing systems that are orders of magnitude faster than our common systems. The top supercomputer, Summit, can perform 148.6 trillion calculations in one second (148.6 PF in LINPAC). The two main supercomputers are now in the U.S. followed however with two Chinese supercomputers. Many countries are competing to break the record and build an ExaFLOP supercomputer that can perform more than a million billion (quintillion) calculations per second. In fact, the United States is planning two supercomputers in 2021, one of which, when fully operational (Frontier), will operate at 1.5 EF. Incidentally, data volumes due to social media and the Internet of Things (IoTs) have been exploding and AI has been a successful technique with advancements in deep learning to take advantage of those large volumes of data. Those simultaneous developments have thus given rise to what is considered the Big Data and HPC Convergence as mass processing …
Tarek El-Ghazawi, Dr.
Tarek El-Ghazawi is a professor in the Department of Electrical and Computer Engineering at George Washington University, where he directs the University’s Strategic Academic Program in High-Performance Computing. See more
How renewables and HVDC transmission is evolving in the Brazilian Interconnected Power System - The challenges ahead
The Brazilian Interconnected Power System (BIPS) has been experiencing great transformation in the last decades. Initially divided in two subsystems formed by the North-Northeast regions and the South-Southeast regions, it was unified in the late 1990s with the construction of the North-South AC 500 kV interconnection in order to optimize the predominantly hydro generation with different seasonal regional regimes. More recently, two big developments have been observed in the BIPS: the commissioning of large run-of-river power plants in the Amazon (North) region and the rapidly increasing penetration of wind, and more recently solar, generation in the Northeast region. As the largest load centers (Rio and Sao Paulo) are located in the Southeast region, this new generation sources have required a reinforcement of the transmission system, using both HVAC and HVDC technologies. Those developments made the BIPS operation and planning studies even more complex. The talk will briefly describe big challenges ahead, that encompasses the relative decrease of synchronous inertia, thus deteriorating the frequency regulation, and the formation of multi-infeed LCC HVDC links, thus increasing the probability of concurrent commutation failures.
Glauco Taranto, Dr.
Glauco Taranto received B.Sc degree in 1988 from the State University of Rio de Janeiro, M.Sc. degree in 1991 from the Pontifical Catholic University of Rio de Janeiro, and Ph.D. degree in 1994 from Rensselaer Polytechnic Institute, Troy, NY, USA, all in Electrical Engineering with emphasis in Power Systems. See more