Ongoing research projects
Ongoing research projects in iMMC (January 2023)
This a short description of research projects which are presently under progress in iMMC.
Hereunder, you may select one research direction or choose to apply another filter:
List of projects related to: energy storage
Researcher: Audrey Favache
Supervisor(s): Thomas Pardoen
obtained a PhD degree in the domain of process control in 2009 at Université catholique de Louvain (Belgium), after having graduated there as chemical engineer in 2005. Since then, she is working as a "senior" researcher on several applied research projects in collaboration with the industry in the domain of mechanics of materials. More particularly, she is interested in the link between the mechanical properties of the individual components of a complex system and the global mechanical response of this system. She applied this approach to the framework of tribology and contact mechanics for understanding the scratch resistance of coatings and multilayered systems. Her work covers both experimental aspects and finite element simulations.
|Techno-economic viability of variable-speed pumped-storage hydropower based on centrifugal pumps used as turbines|
Researcher: Thomas Mercier
Supervisor(s): Emmanuel De Jaeger
This research takes place in the frame of SmartWater, a 3.5-year research project funded by the Walloon region, Belgium, and whose goal is to investigate the conversion of former mines and quarries into pumped-storage hydropower (PSH) sites, taking advantage of existing cavities. The project involves several academic and industrial partners, among which Laborelec, Electrabel and Cofely, as well as sponsors, including Ores, Elia, Charmeuse and Ensival-Moret. The SmartWater project is divided in several work packages, ranging from the geological study of potential mines and quarries, to the economical and electromechanical aspects of pumped-storage hydropower.
Researcher: Véronique Dias
Supervisor(s): Hervé Jeanmart
obtained her PhD at UCLouvain in 2003, then worked as Postdoctoral Researcher at the Laboratoire de Physico-Chimie de la Combustion (Faculty of Science). In 2009, she moved to the Institute of Mechanics, Materials and Civil Engineering, and since 2012, she has a position of Research Associate. In 2015, she obtained her HDR (Habilitation à Diriger la Recherche) at the Université of Orléans (France).
Her research interests cover the combustion and kinetics of alternative fuels by the elaboration of kinetic models for hydrocarbons and oxygenated species. These projects in combustion include both experimental and numerical parts. They are contributions to the IEA (International Energy Agency) Implementing Agreement for Energy Conservation and Emission Reduction in Combustion.
In 2016-2018, Véronique Dias also worked on a project on energy storage, and more specifically, in chemical form. In the BEST project (2020-2024), she holds the management and coordination that support all the activities to be developed during the project by providing the necessary tools, methods and governing structure.
Since 2018, she has been the IMMC Research Coordinator for European projects on energy transition.
|Generating energy transition pathways- application to Belgium|
Researcher: Gauthier Limpens
Supervisor(s): Hervé Jeanmart
The transition towards more sustainable, fossil-free energy systems is interlinked with a high penetration of stochastic renewables, such as wind and solar.
Integrating these new energy resources and technologies will lead to profound structural changes in energy systems, such as an increasing need for storage and a radical electrifcation of the heating and mobility sectors.
To capture the increasing complexity of such future energy systems, new
flexible and open-source optimization modelling tools are needed.In collaboration with EPFL (Ecole Polytechnique Fédérale de Lausanne), we develop EnergyScope, a new open-source energy model for strategic energy planning of urban and national energy systems.
We applied our methodolgy to Switzerland and Belgium. During the end of the thesis, we are developping a transition pathway model representing the transition from 2015 until a long term target (such as 2050) with intermediary steps. The technologies merit order and the total cost of the transition will be key results.
In addition, other studies are under investigation (by master thesis or myself) about more countries, a multi-cells versions, an urban version, model coupling (EnergyScope-DispaSET), create an educational interface for citizens and policy makers or apply the model for uncertainty characterisation.
|Robust optimisation of the pathway towards a sustainable whole-energy system: role of synthetic fuels|
Researcher: Xavier Rixhon
Supervisor(s): Francesco Contino, Hervé Jeanmart
Securing energy supply while mitigating the anthropogenic greenhouse gas emissions embodies one of the biggest challenges of today’s -and tomorrow’s- society. In this perspective, renewable energies, mainly wind and solar, will be extensively installed. However, these resources per se present a time and space disparity which generally leads to a mismatch between supply and demand. Therefore, to harvest their maximum potentials, the energy system shall become more flexible, especially through the storage of this renewable electricity. The integration of electro-fuels seems to be a promising solution. They could play the role of long-term storage of electricity and energy carriers to supply other sectors (e.g. heat or mobility). To address the question of the role of these fuels in the energy transition, a multi-energy and multi-sector model, Energy Scope TD (ESTD), will be further developed. It optimizes the design of an energy system to minimize its costs and emissions. Defining an energy transition strategy for a large-scale system, such as a country, implies decisions with long-term impacts (20 to 50 years) and, hence, many uncertainties. To perform the uncertainty quantification (UQ), ESTD will be complemented with a surrogate-assisted UQ framework. The perspective of this project is then to provide the designers and the decision-makers with optimized energy system designs, including the knowledge we have on the uncertainties, in order to pave a robust pathway towards sustainability.
| Simulation and experimental validation of electrochemical hydrogen production via pulsed water electrolysis on 3D electrodes|
Researcher: Fernando Saraiva Rocha da Silva
Supervisor(s): Joris Proost
In the context of global warming, there is an increasing effort to decarbonize energy systems. With renewable sources such as windmills and solar panels increasing their share in the electric grid, energy storage is a must, since these sources are intrinsically intermittent. Among all the storage solutions, hydrogen production from water electrolysis has proven to be the best one for long-periods and high energy quantities. The principle is that the electricity is used to produce hydrogen and oxygen gases in electrolyzers and when needed, the produced hydrogen can be burned or used on fuel cells to recover electric energy. The main goal of the thesis is to intensify electrolytic hydrogen production by different methods, such as the use of 3-D electrodes, forced electrolytic flow, and pulsed power. Some questions are addressed such as: will the 3-D electrodes increase the performance in comparison with the conventional 2-D electrodes? Can the forced electrolytic flow remove all the gas bubbles trapped in the 3-D structure? To how extent a pulsed power can help the gas bubble removal and improve the performance? What is the best 3-D structure to intensify hydrogen production? To answer these questions, several approaches are proposed. They include electrochemical measurements like cyclic voltammetry, pulsed voltage and pulsed current experiments, and galvanostatic experiments. Additionally, hydrogen gas will be collected to estimate the production rate. All these experiments will be performed with varying 3-D structure, electrolyte temperature, and concentration. Some of the tested electrodes will be designed and produced at UCLouvain. Computational fluid dynamic simulation is also proposed as a way to better understand the electrolytic cell. As a first result, it was seen that current pulses presented a better result than voltage pulses. Furthermore, pulsed power could increase the hydrogen production rate during the time the voltage was on. Nevertheless, when considering the average production rate, including the period the voltage was off, pulsed power had the worst performance. It was observed that pulse frequency was inversely proportional to performance and that decreasing duty cycle could increase efficiency. Furthermore, it was observed that forced electrolytic flow was capable of enhancing the process performance, especially for electrodes with a high surface density (m2/m3).
|Robust integration of carbon capture in renewable methanation|
Researcher: Dierderik Coppitters
Supervisor(s): Francesco Contino
Robust and antifragile design optimization of energy systems, considering computationally-efficient uncertainty quantification methods.
Improvement of computational efficiency of surrogate models for uncertainty quantification, using active learning methods.
Process simulation and optimization of direct air capture systems in power-to-gas systems.
|Developing a low-NOx ammonia burner|
Researcher: Charles Lhuillier
Supervisor(s): Francesco Contino
In collaboration with a startup company, the goal of this project is to develop, characterise and optimise an innovative burner adapted ammonia combustion with low nitrogeneous pollutant emissions.
|Carnot batteries as effective sector-coupling systems for heat and power: techno-economic analysis and robust optimisation|
Researcher: Antoine Laterre
Supervisor(s): Francesco Contino
The first concepts of Carnot batteries appeared in the early 2010s. These systems propose to use excess energy from the grid to produce heat and store it in thermal form. This energy can then be returned in the form of electricity through thermal cycles. By their very nature, these “batteries” allow for efficient coupling between electrical and thermal systems, which is an asset regarding the challenges prescribed by the energy transition. For example, they can take advantage of waste heat (< 100°C) to increase their power output to power input ratio to values above 100%. The heat they generate can also be used for other purposes (e.g. industrial).
Theoretical studies to date have shown that this technology has great potential for development. However, they also reveal that the performance can deteriorate severely when certain parameters deviate slightly from the optimal design conditions (i.e. variation of waste heat temperature, of isentropic efficiencies, etc.). In order to evaluate their real potential, this project proposes to integrate, by simulation means, the uncertainty dimension on these parameters to quantify more efficiently the sensitivity of Carnot batteries to them.
To identify the designs that are robust to uncertainty and to evaluate the actual techno-economic performance of these systems, Uncertainty Quantification and Robust Optimisation (optimisation under uncertainty) techniques will be applied. Using metrics such as LCOS, we will assess with more certainty the potential of this technology compared to other storage systems, such as batteries.
|The Impact of Energy Policies on the Energy System|
Researcher: Panagiotis Varelas
Supervisor(s): Francesco Contino
There are many difficulties in the upcoming years toward a carbon-neutral planet. The main issue that renewable energy sources are facing in the energy transformation is the security of supply. Alternative fuels like hydrogen and ammonia might be a solution to this challenge as possible energy carriers. The main barrier they are currently facing is the increased cost compared to other fuels. This project is aiming to promote alternative fuels and green applications in mobility and other sectors and to highlight the importance of alternative fuels as a solution to tackle climate change and reach our goals.
In this direction, academia should play a vital role by providing the necessary facts and guidelines to the policymakers. Currently, researchers and policymakers are acting independently, and coordinating actions are very often lacking. The main goal of this research is to provide evidence and facts that can help policymakers take decisions. This implies measuring the impact of the energy policies on energy systems. Thus, every time an energy policy will be implemented or modified our model will be able to predict the potential impact both for investors and consumers.
Existing models are not considering the effect of the energy policies on the energy systems. Traditionally these models are scenario-oriented. According to their input parameters such as demand, consumption, and available technologies, they can suggest a couple of different scenarios to the policymakers.
Modern societies are rapidly changing by the decisions of political institutions. Recent major events in Europe and United States proved that energy transition is a dynamic condition affected by a plethora of different parameters that should be considered. Designing energy models needs to be a vice versa task proposing the optimal scenarios to the policy makers, considering at the same time the impact of energy policies.
The second novelty of this research proposal is that it will take into consideration both the financial and the societal impact of energy policies.