Session Aims & Scope
Electric, control, and energy engineering have hybrid characteristics of multi-physical coupling, dynamic multi-time scales characteristic correlation, strong nonlinearity, and uncertainty. Still, the traditional design, operation, and monitoring process cannot meet the real engineering requirements of real-time, predictability, and high reliability. With the rapid advancement and widespread adoption of digital technologies, Digital Twin (DT) technology is gaining increasing attention and extensive applications in electrical, control, and energy systems. As an advanced technology based on virtual simulation models, DT integrates physical systems with digital models to achieve real-time monitoring, prediction, and optimization of equipment, systems, or processes, bringing unprecedented intelligence and efficiency to engineering applications. To share the latest advances in DT technologies for electric, control and energy engineering, the Digital Twin International Conference in 2024 (DigiTwin 2024), is extending a Special Session for Digital Twin Driven Electric, Control and Energy Systems. The proposed Special Session particularly fits the following topics, but are not limited to:
• Digital twin modeling and simulation of electric, control and energy systems.
• Digital twin reliability-oriented real-time monitoring and failure prediction.
• Digital twin reliability-oriented safety and stability analysis.
• Digital twin design optimization of electric and energy engineering.
• Intelligent management of electric and energy systems.
• Digital twin simulation and optimization of the control system.
• Development of artificial intelligence driven digital twin technologies.
• Communication techniques between the digital twin model and physical system.
• Industry applications of digital twin technologies of electric and energy engineering.
Session Chair(s)
Chair
Li Wang
Nanjing University of Aeronautics and Astronautics
liwang@nuaa.edu.cn
Co-Chair
Qunfang Wu
Nanjing University of Aeronautics and Astronautics
wuqunfang@nuaa.edu.cn
Co-Chair
Kangkang Zhang
Imperial College London
Kzhang5@ic.ac.uk
Session Presentation
1.
Huai Wang
Professor
Aalborg University (Denmark)
Title: Digital Design and Digital Service for Power Electronics Applications
Abstract
Power electronic converters are applied in numerous modern energy systems, such as wind turbines, Photovoltaics (PV), Power-to-X, electric vehicles, data centers, mobile phones, and smart homes. In contrast to CPUs/GPUs that process digitalized information, power electronic converters process electrical energy by efficiently converting voltage, current, or frequency. They are ubiquitous in electricity generation, transmission, distribution, and consumption, forming a critical part of the infrastructure for the green transition. Digital techniques, such as Digital Twin (DT) concept, provide new opportunities in the design, control, and operation optimization of energy materials, components, assemblies, and systems. Nevertheless, the effective implementation of DT for energy applications relies on an in-depth understanding of engineering problems and their modeling in deterministic/stochastic environments, data collection/analytics methods, and affordable algorithms and hardware implementations. This talk will focus on a few examples of DT application in the design phase (i.e., digital design) and operation phase (i.e., digital service) of power electronic converters.
2.
Hui-Hwang Goh
Professor, PhD, IET Fellow
Guangxi University (China)
Title: Digital Twins: Unveiling the Challenges and Forecasting the Future Trends
Abstract
Digital twin technology has become an essential tool in various sectors by providing virtual replicas of real objects. This technology has been employed to improve decision-making, simulation, and predictive maintenance. Although the technology is gaining popularity, it will still encounter certain obstacles that may hinder its ability to achieve its maximum capabilities. The objective of this talk is to examine the intricate difficulties associated with the technology of digital twins. These challenges encompass issues related to data integration and security. Furthermore, the upcoming trends will be examined that are already influencing the development of digital twins. These trends encompass advancements in artificial intelligence (AI), the Internet of Things (IoT), and real-time analytics. Through the examination of these factors, our objective is to offer a thorough comprehension of the present state of digital twin technology and to forecast its future path.
3.
Minglei You
Assistant Professor, PhD, PGCAP, FHEA, Royal Society Short Industry Fellow
University of Nottingham (UK)
Title: Smart Multi-vector Integrated Energy System via Digital Twin
Abstract
Energy systems are critical part in achieve the global goal of carbon reduction -this talk will present a vision of the future digital twinning integrated energy system together with its key enabling technologies including Digital Twin, Internet of Things, Artificial Intelligence and the Fifth Generation (5G) cellular networks, as well as the synergy between them. Practical testbeds will be also introduced as examples to illustrate such system structure and the potential benefits.
4.
Qian Xun
Research Associate
Fraunhofer Institute for Silicon Technology ISIT (Germany)
Title: Optimal Sizing and Energy Management of Energy Storage Systems for Microgrid Applications
Abstract
Toward green energy transition, the penetration of renewable energy resources is increasingly implemented. Due to inherent natural characteristics of renewable energy resources, energy storage systems, such as battery or hydrogen technology (fuel cell, electrolyzer, and hydrogen tank), are essential to realize the efficient operation, balance the generation and consumption, and improve the availability of the power supply in microgrids. In this regard, this talk presents power architectures to integrate renewable energy resources and energy storage systems in microgrids for data center and residential community applications. An optimization framework is formulated to determine the optimal sizing and energy management. Due to the high efficiency of the battery, it is preferred to serve as the short-term energy buffer, while the high energy density of the hydrogen technology, it is preferred to serve as seasonal energy buffer to achieve the self-sufficiency.
5.
Stelios Vrachimis
Research Associate,
KIOS Research and Innovation Center of Excellence, University of Cyprus (Cyprus)
Title: Oceano’s-DT: A Digital Twin Platform for Water Distribution Networks
Abstract
Digital twin technology is revolutionizing the management of water distribution networks by providing real-time insights into system behavior, enabling early detection of faults (such as leakages and equipment failure), optimizing operations, and enhancing decision-making. OceanosDT is a platform that leverages open-source software such as QGIS and the EPANET-Python Toolkit (EPyT) to create precise digital twins of water networks. By integrating real-time GIS and sensor data, OceanosDT generates accurate hydraulic and water quality models, which are continuously calibrated with sensor measurements. These digital twins are stored in a dedicated database, facilitating risk assessment, contamination management, and strategic planning for system expansion. OceanosDT represents a significant step forward in efficient and resilient water management, offering robust tools for early fault detection, operational optimization, and data-driven decision support.