Abstract: The energy transition in the Netherlands will effectively migrate energy towards less reliable sources like wind and solar. Next to this, the production of energy will be more and more decentralized, and gas will be replaced by alternatives for domestic heating. The increased usage of electric vehicles, heat pumps and home batteries will have an enormous effect on the infrastructure. To manage this, we need a vast number of sensors that measure in high frequency and share data in almost real-time with each other and the operational systems. In this lecture, we will take a closer look at the typical challenges of realizing a large-scale energy data network and possible solutions. What will happen when we connect and operate slow-paced legacy systems designed decades ago with high-frequency network steering and mass data processing? In addition, we will demonstrate new business cases developed on this fast energy data network. We will discuss real-life business examples, best practices, and pitfalls. And will discover what challenges are still left to research.
Watch the guest lecture here
Steering the energy system is an important topic. Especially in the Netherlands – which generates only a small percentage of energy from nuclear sources and cannot make use of hydropower – this is a challenge. Since solar and wind are not as reliable. In addition, energy production is becoming increasingly decentralized, and natural gas will be replaced by alternatives for domestic heating such as a heat pump or district heating.
The role of sensors in managing the energy transition
The increased use of electric vehicles, heat pumps, and home batteries will have an enormous effect on the energy infrastructure in the Netherlands. To actively manage and control this, a large number of sensors are needed that measure at high frequency and share data on supply and demand with each other in real-time. It is essential that this data is directly processed in the operational systems of the energy network.
Challenges and solutions in realizing a large-scale energy network
In this guest lecture, Robbrecht van Amerongen discusses the typical challenges of realizing a large-scale energy data network and the possible solutions. What will happen if we connect and use slow legacy systems (designed decades ago) with high-frequency network control and massive data processing? He also demonstrates new business cases developed on this fast energy data network. He discusses practical examples, ‘best practices’, pitfalls, and challenges that require further research.
About Robbrecht van Amerongen
Over the past 20 years, Robbrecht has been involved in numerous innovative IT systems and, as an intrapreneur, has created several new business units within AMIS | Conclusion, all related to real-time data exchange between complex systems. For the past six years, he and his team have been involved in the development and implementation of large-scale IoT projects in the manufacturing and energy sectors. Robbrecht holds an MSc in Strategic Innovation Management from the University of Groningen.
About The PowerWeb Institute
The PowerWeb Institute is a multidisciplinary collaboration of 5 faculties of TU Delft in the field of Intelligent and Integrated Energy Systems: Electrical Engineering, Mathematics & Computer Science (EEMCS), Technology Policy & Management (TPM), Mechanical, Maritime & Materials Engineering (3mE), Industrial Design Engineering (IDE), Aerospace Engineering (AE), with prof. Peter Palensky, EEMCS, as scientific director. https://www.tudelft.nl/staff/p.palensky
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