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4TU Energy grant for Bijoy Bera for research (with UT) on Magneto-Iono-caloric Heat Pumps

Recently, dr. Bijoy Bera (Interfacial Physis Lab/Transport Phenomena Section) received, together with his collaborator dr. Keerthivasan Rajamani (University of Twente), the 4TU Energy grant, which promotes collaborative efforts among the four technical universities of NL to address the energy issues/future of this country. ChemE News sat down with Bijoy for more info. What is a heat pump? Why does NL need them? What’s wrong with the current heat pumps? A pump is a device where we put (electrical) energy to obtain work. Heat pump is where work (together with heat from a source) is supplied to a device to obtain heat, very useful for efficient heating of households. The heating demand for the built environment in the Netherlands alone is expected to be 333 PJ of energy in 2030. As of 2022, 82% of Dutch households still use natural gas for heating. (Traditional vapor compression system) Heat pumps are being increasingly used in Dutch households (if you ask me, not as much as should be), but the major problem is their efficiency, which tends to hover around 40%-50%. How is your research going to improve the situation? Dr. Rajamani (UT) and I are going to investigate, model and design a new type of heat-pump: Magneto-iono-caloric heat pumps. We plan to use magnetic ionic liquids where low strength magnetic field can be used to bring the melting point of a salt down to below the room temperature. The heat of solidification/crystallization of the salt can then subsequently be used as the heat source of the heat pump, which will lead to higher Carnot efficiency. What is the nature of the collaboration in this project? Keerthi (Dr Rajamani) is an expert in magneto-caloric devices where magnetic fields are applied to change the energy input/output of a system. I will bring my expertise of ionic manipulation of energy interactions in a system. Keerthi and I were chatting about our areas of interest about a year ago, and we realized that by combining these two points of interest, we can come up with something unique! Dr. Bijoy Bera Why is this research important? Will this grant be sufficient in that quest? There is right now a strong direction in the Dutch research landscape to contribute to new forms of energy and how to increase efficiency in processes producing these forms of energy. However, classic thermodynamic processes (such as a heat pump) are often overlooked. This grant is a small but timely incentive for us to start the work, and hopefully our results will inspire colleagues to join us and create a platform for something bigger. Sounds interesting! When can we buy magneto-iono-caloric heat pumps for our houses? Not for a little while, unfortunately! But we are talking about years not decades! And once we can make it, it will open many doors for us, not only for household heating, but for renewed faith in novel energy systems!

Understanding the learning process: machine learning and computational chemistry for hydrogenation

Machine learning is being mentioned all around, but can it be applied to modelling homogeneous catalysis? Researchers from TU Delft together with Janssen Pharmaceuticals published an extensive study accompanied by one of the biggest datasets on rhodium-catalyzed hydrogenation in Chemical Science trying to answer this question. Adarsh Kalikadien Evgeny Pidko For more than half a century, Rhodium-based catalysts have been used to produce chiral molecules via the asymmetric hydrogenation of prochiral olefins. The importance of this transformation was acknowledged by a Nobel prize given to Noyori and Knowles for their contributions in this field. Nowadays, asymmetric hydrogenation catalysts are widely used in the pharmaceutical industry, numerous chiral ligands are available to tackle a wide range of prochiral substrates and the reaction mechanism has been extensively studied. Consequently, one would expect that finding the best catalyst for the asymmetric hydrogenation of a new substrate is a trivial task. Unfortunately, this is not the case and a tedious and costly experimental screening is still needed. Adarsh Kalikadien and Evgeny Pidko from TU Delft together with experts in high-throughput-experimentation, data science and computational chemistry from Janssen Pharmaceutica in Belgium decided to investigate whether a well-trained machine could do the job. To their surprise, the machine was actually not able to learn as much as they expected. The idea was to set up a simple model reaction with a well-known rhodium catalyst. Based on the experimental data generated by the high-throughput experimentation team of Janssen, a computational dataset was built to which multiple machine learning models were applied. “We digitalized the 192 catalyst structures and represented them with features of various levels of complexity for the machine learning models,” says Kalikadien, a PhD student in Pidko’s group. "The interesting thing was that all the simpler models, including the random model, showed similar performances as the expensive variant, which intrigued us. It turned out to be an early indication that the machine was not really learning anything useful.” "One of our conclusions was, when tested more extensively, that for an out-of-domain modeling approach, it doesn't matter what representation you put in”. Nevertheless, although the team was not able to build an accurate model, their study was worth publishing. The publication process went relatively smoothly. “Although the first journal we contacted rejected our submission as too specialized, the high-impact journal Chemical Science saw the value of this work. Not many researchers are interested in just seeing the R2 value of a model and then having no possibility to use it, they are probably interested in an in-depth analysis like ours. So we were able to submit our data, code and even interactive figures there for everyone to use.” At the moment there is a big incentive for publishing negative data in order to help the community to assess the true added value of machine learning, since models trained on mainly positive results tend to become very biased. "We made everything open source," says Kalikadien. "Not only is all the data accessible, but we also offer the code including packages and instructions, so that anyone who is interested can do the same type of research." In this way, they have published one of the largest datasets of a certain type of hydrogenation reaction. What's next? "Our representation of the catalyst wasn't as meaningful for the machine learning models as we had hoped, so we are now looking for a representation that may be less simplified but still as simple as possible," says Kalikadien. "Creating a digital representation of your catalyst should not cost way more money than running the actual experiment, so we are trying to incorporate more information from the reaction mechanism into the model without making it too extensive. A more dynamic and hopefully more informative version of the representation." Read the publication Adarsh Kalikadien, Cecile Valsecchi, Robbert van Putten, Tor Maes, Mikko Muuronen, Natalia Dyubankova, Laurent Lefort and Evgeny A. Pidko

Bipolar membranes for intrinsically stable and scalable CO2 electrolysis

The energy transition requires technology to supply sustainable carbon-based chemicals for hard-to-abate sectors such as long-distance transport and plastic manufacturing. These necessary hydrocarbon chemicals and fuels, responsible for 10-20% of the global greenhouse gas emissions, can be produced sustainably by the electrolysis of captured CO 2 using renewable electricity. Currently, the state-of-the-art CO 2 electrolyzers employ anion exchange membranes (AEMs) to facilitate the transport of hydroxide ions from the cathode to the anode. However, CO 2 is crossing the membrane as well, resulting in a loss of reactant and unfavourable anode conditions which necessitates the use of scarce anode materials. Bipolar membranes (BPMs) offer an alternative that addresses the problem of CO 2 crossover but still requires research to match the product selectivity of AEM-based systems. Our perspective, a collaboration between groups of David Vermaas, Tom Burdyny and Marc Koper, published in Nature Energy, assesses the potential of BPMs for CO 2 electrolysis by looking at CO 2 utilization, energy consumption, and strategies to improve the product selectivity. Abstract CO 2 electrolysis allows the sustainable production of carbon-based fuels and chemicals. However, state-of-the-art CO 2 electrolysers employing anion exchange membranes (AEMs) suffer from (bi)carbonate crossover, causing low CO 2 utilization and limiting anode choices to those based on precious metals. Here we argue that bipolar membranes (BPMs) could become the primary option for intrinsically stable and efficient CO 2 electrolysis without the use of scarce metals. Although both reverse- and forward-bias BPMs can inhibit CO 2 crossover, forward-bias BPMs fail to solve the rare-earth metals requirement at the anode. Unfortunately, reverse-bias BPM systems presently exhibit comparatively lower Faradaic efficiencies and higher cell voltages than AEM-based systems. We argue that these performance challenges can be overcome by focusing research on optimizing the catalyst, reaction microenvironment and alkali cation availability. Furthermore, BPMs can be improved by using thinner layers and a suitable water dissociation catalyst, thus alleviating core remaining challenges in CO 2 electrolysis to bring this technology to the industrial scale. Go to the publication Kostadin Petrov Christel Koopman David Vermaas Tom Burdyny Siddharta Subramanian

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Students Amos Yusuf, Mick Dam & Bas Brouwer winners of Mekel Prize 2024

Master students Amos Yusuf, from the ME faculty (Mick Dam, from the EEMCS faculty and graduate Bas Brouwer have won the Mekel Prize 2024 for the best extra scientific activity at TU Delft: the development of an initiative that brings master students into the classroom teaching sciences to the younger generations. The prize was ceremonially awarded by prof Tim van den Hagen on 13 November after the Van Hasselt Lecture at the Prinsenhof, Delft. They received a statue of Professor Jan Mekel and 1.500,- to spend on their project. Insights into climate change are being openly doubted. Funding for important educational efforts and research are being withdrawn. Short clips – so called “reels” – on Youtube and TikTok threaten to simplify complex political and social problems. AI fakes befuddle what is true and what is not. The voices of science that contribute to those discussion with modesty, careful argument and scepticism, are drowned in noise. This poses a threat for universities like TU Delft, who strive to increase student numbers, who benefit from diverse student populations and aim to pass on their knowledge and scientific virtues to the next generation. It is, therefore, alarming that student enrolments to Bachelor and Master Programs at TU Delft have declined in the past year. Students in front of the class The project is aimed to make the sciences more appealing to the next generation. They have identified the problem that students tend miss out on the opportunity of entering a higher education trajectory in the Beta sciences – because they have a wrong picture of such education. In their mind, they depict it as boring and dry. In his pilot lecture at the Stanislas VMBO in Delft, Amos Yusuf has successfully challenged this image. He shared his enthusiasm for the field of robotics and presented himself as a positive role model to the pupils. And in return the excitement of the high school students is palpable in the videos and pictures from the day. The spark of science fills their eyes. Bas Brouwer Mick Dam are the founders of NUVO – the platform that facilitates the engagement of Master Students in high school education in Delft Their efforts offer TU Delft Master Students a valuable learning moment: By sharing insights from their fields with pupils at high school in an educational setting, our students can find identify their own misunderstandings of their subject, learn to speak in front of non-scientific audiences and peak into education as a work field they themselves might not have considered. An extraordinary commitment According to the Mekel jury, the project scored well on all the criteria (risk mitigation, inclusiveness, transparency and societal relevance). However, it was the extraordinary commitment of Amos who was fully immersed during his Master Project and the efforts of Brouwer and Dam that brought together teaching and research which is integral to academic culture that made the project stand out. About the Mekel Prize The Mekel Prize will be awarded to the most socially responsible research project or extra-scientific activity (e.g. founding of an NGO or organization, an initiative or realization of an event or other impactful project) by an employee or group of employees of TU Delft – projects that showcase in an outstanding fashion that they have been committed from the beginning to relevant moral and societal values and have been aware of and tried to mitigate as much as possible in innovative ways the risks involved in their research. The award recognizes such efforts and wants to encourage the responsible development of science and technology at TU Delft in the future. For furthermore information About the project: https://www.de-nuvo.nl/video-robotica-pilot/ About the Mekel Prize: https://www.tudelft.nl/en/tpm/our-faculty/departments/values-technology-and-innovation/sections/ethics-philosophy-of-technology/mekel-prize

Veiligere en efficiëntere bloedvatbehandelingen door innovatieve kathetertechnologie

Wereldwijd worden jaarlijks meer dan 200 miljoen katheters gebruikt voor de behandeling van vaatziekten zoals hartaandoeningen en slagadervernauwing. Hoewel essentieel, brengt het gebruik van katheters risico’s met zich mee: wrijving tussen de katheter en de vaatwand kan complicaties veroorzaken. Een nieuwe technologie, ontwikkeld door Mostafa Atalla en zijn team, biedt een oplossing. Met één druk op de knop kan de wrijving van de katheter worden aangepast, van maximale grip naar volledige gladheid. Deze innovatie belooft niet alleen veiligere, maar ook efficiëntere endovasculaire procedures mogelijk te maken. De resultaten zijn gepubliceerd in het wetenschappelijk tijdschrift IEEE. Slimme katheter met instelbare wrijving Het nieuwe katheterprototype is uitgerust met geavanceerde technologie die de wrijving tussen de katheter en vaatwand nauwkeurig reguleert via ultrasone trillingen. Dit mechanisme zet via ultrasone trillingen de dunne vloeistoflaag onder druk waardoor de wrijving dynamisch kan worden aangepast: lage wrijving voor soepele navigatie door bloedvaten en hogere wrijving voor optimale stabiliteit tijdens een procedure. Tests tonen aan dat deze techniek de wrijving op harde oppervlakken met gemiddeld 60% vermindert en op zachte oppervlakken met 11%. Veelbelovende resultaten Bij experimenten op dierlijk aortaweefsel heeft het prototype zijn potentieel bewezen. Deze innovatie kan niet alleen bij vaatbehandelingen worden ingezet, maar mogelijk ook bij andere medische procedures, zoals interventies in de darmen. De onderzoekers zijn nu bezig de technologie verder te ontwikkelen en te testen op bredere toepassingen. Meer informatie Publicatie DOI: 10.1109/TMRB.2024.3464672 Toward Variable-Friction Catheters Using Ultrasonic Lubrication | IEEE Journals & Magazine | IEEE Xplore Mostafa Atalla: m.a.a.atalla@tudelft.nl/ Aimee Sakes: a.sakes@tudelft.nl Wil je een demonstratie bijwonen of in contact komen met een van de onderzoekers neem contact op met: Fien Bosman, persvoorlichter TU Delft Health: f.j.bosman@tudelft.nl/ 0624953733

Een flexibele backstop als deel van de oplossing voor netcongestie

Uit naam van het TU Delft PowerWeb Institute overhandigen onderzoekers Kenneth Brunninx en Simon Tindemans op 12 november 2024 een Position Paper aan de Tweede Kamer, met een mogelijke oplossing voor de grote netwerkcapaciteit-problemen die in Nederland steeds vaker opspelen. Waarschijnlijk haalt Nederland de klimaatdoelen 2030 niet, en dat komt onder andere doordat de grote industrie niet snel genoeg kan overstappen op elektriciteit, mede doordat er steeds vaker problemen ontstaan rondom netwerkcapaciteit en netcongestie. Naar alle waarschijnlijk zullen die problemen dit decennium eerst zelfs toenemen, voordat ze kunnen afnemen, stellen de onderzoekers. De oplossing die de onderzoekers van het TU Delft PowerWeb Institute aanbieden, is de ‘flexibele backstop’. Met een flexibele backstop kan de huidige capaciteit van het elektriciteitsnet efficiënter gebruikt worden zonder aan veiligheid of betrouwbaarheid in te boeten. Een flexibele backstop is een veiligheidsmechanisme dat semiautomatisch en op korte termijn de hoeveelheid elektriciteit vermindert die een elektrische verbruiker van het elektriciteitsnet kan onttrekken (een elektrische laadpaal of een warmtepomp) of leveren (een PV-installatie). Het is een klein apparaatje dat is aangesloten of ingebouwd in een elektrische verbruiker, zoals een laadpaal of warmtepomp, en dat ‘communiceert’ met de distributienetwerkbeheerder. In geval van acute congestie op het netwerk geeft de netwerkbeheerder een signaal aan het apparaat om de hoeveelheid stroom te beperken. Duitsland heeft recent een vergelijkbaar systeem ingevoerd voor elektrische laadpalen. De backstop wordt enkel geactiveerd in periodes van acute congestieproblemen, nadat alle andere maatregelen uitgeput zijn. “Het opwaarderen van het elektriciteitsnetwerk blijft essentieel, maar zal in de praktijk nog jaren duren. Er is dus behoefte aan kortetermijnoplossingen die geïntegreerd kunnen worden in de langetermijnplanning. Wij, de leden van het TU Delft PowerWeb Institute, roepen de overheid, netwerkbeheerders en regulator op om de flexibele backstop als extra veiligheidsmaatregel voor het netwerk te onderzoeken”, aldus de onderzoekers. Het gehele paper is hier te lezen. Kenneth Bruninx is universiteit hoofddocent bij de faculteit Techniek, Bestuur en Management, waar hij met kwantitatieve modellen energiebeleid, regulering en marktontwerp evalueert. Simon Tindemans is universitair hoofddocent in de Intelligent Electrical Power Grids groep van faculteit Elektrotechniek, Wiskunde en Informatica. Hij doet onder andere onderzoek naar onzekerheid en risicomanagement voor elektriciteitsnetwerken. Het TU Delft PowerWeb Institute ontwerpt het elektriciteitsnetwerk van de toekomst.