Multi Energy Systems - Assessing energy flexibility in industrial parks using multi energy modelling
European energy landscape is undergoing massive energy transition. At the core of this transition is shift towards greater integration of renewable energy technologies. While the development of new technologies and integration of matured renewable technologies such as wind and solar is ramping up at unprecedented scales, efforts are still being made to assess the impact of such a large scale integration. Greater penetration of RES brings more variability and uncertainty to the energy balance equation. Stochastic variations are nothing new in power systems (load stochasticity), they have been dealt with effectively since the inception of power systems. The new transition introduces an additional challenge, rather than a new challenge to manage variability and system flexibility.
With electrical systems, the supply of electrical energy has to be balanced at exactly the same time with consumption of this energy. With stochastic variability now coming in from supply and demand side, new solutions are needed to smooth out these variations. Ideas such as storage, demand-side management (DSM), energy conversion (in form of P2H, P2G, etc.) have been proposed. Of these, DSM and energy conversion are potentially interesting and implementable solutions, especially in industrial sites. Industrial sites are unique locations for production and consumption of energy. Here, the different roles of electricity and heat can be distinguished, however with a higher intensity per actor than in domestic environments and thus with a higher impact on the intensity of dynamics in the energy demand and supply. Electricity and heat, thus, both play an important role in industrial sites and harbors, especially for future sustainability. A key enabler to assess impacts of DSM and energy conversion technologies is simulating multi-energy models. Decades of development has seen simulation software fine-tune and optimize solvers to analyse particular energy domains. However, with the need to couple domains (inter-energy and energy-ICT) to enable development of new methods and techniques for energy flexibility analysis, co-simulation is coming out as a preferredsimulation idea.
The purpose of this work is to develop a optimisation techniques and intelligent controls in the Port of Rotterdam industrial complex to assess energy flexibility in the area. This will be done by developing models based on physical systems (and not merely statistical models) and using co-simulation techniques to simulate such a multi-energy system. Modelica will be used extensively to for modelling purposes.
This research is a part of the HaPSISH project whose most notable partners besides TU Delft are:
Digvijay Gusain is working on determining a reliable flexibility metric for industrial parks using cosimulation. He has a bachelor's degree in electrical engineering from Delhi Technological University. He completed his master's in Electrical Sustainable Energy from TU Delft. During his master thesis, he worked on using heuristic optimisation algorithm (mean variance napping optimisation) to determine the parameters of dynamic equivalent of active distribution network. He then worked with EPRI for his research internship where he applied his master thesis research to actual test cases and automated the process of converting distribution networks defined in OpenDSS to dynamic equivalents in DiGSILENT PowerFactory. His main field of interest is in application of optimisation algorithms in power system context.