Life cycle assessment of different waste-tire desulfurization processes to determine the process with minimum environmental impacts

A massive volume of trash tires is generated globally, posing an environmental hazard. This dictates the development of effective technologies to recycle and utilize them. Tires are non-biodegradable, inert materials that are incredibly hard to treat. Various processes have been developed in recent years to process, treat, and use this kind of trash. However, the […]

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Modulation du signal des facteurs de croissance par l’ubiquitylation

Les facteurs de croissance stimulent la prolifération cellulaire. Ils agissent à travers des récepteurs situés à la surface cellulaire et activent des réseaux de signalisation complexes menant à l’expression des gènes. Un contrôle particulièrement efficace de cette signalisation s’exerce par le retrait du récepteur de la membrane plasmique par endocytose. Nous avons récemment montré que […]

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Analytical and numerical modelling of fluid-structure interactions of a disc spinning in water with applications for hydroelectric power

Hydroelectric turbines vibrate when they operate, due to their rotation in water. Those vibrations, if not studied and looked after, may damage the runners as well as the shaft, resulting in a decrease of production and operating range, and in a faster deterioration of the components too. Therefore, this project aims to study the vibrations […]

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Development of sustainable technologies to derive fuel chemicals and other functional materials from renewable biomass

Waste generation rates are rising, as the results of the increased world’s population. Increased global concern over environmental issues led to a strong interest in developing sustainable technologies that derive fuels and chemicals from renewable feedstock. Renewable biomass materials, as lignocellulosic waste, are attractive since they contain large amounts of renewable carbon and biochemicals with […]

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Methodes modernes en optimisation deterministe appliquee aux modeles parametriques utilises par Hydro-Quebec en prevision de la demande

Le projet vise a moderniser et ameliorer les outils numeriques utilises par Hydro-Quebec pour prevoir la demande en electricite au Quebec et mettre en ceuvre des strategies d’autocorrection. Les developpements attendus permettront d’augmenter la capacite de maintenance et d’amelioration de ces outils par Hydro-Quebec, et de les rendre plus efficaces. Hydro-Quebec sera ainsi plus à […]

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Designing high entropy perovskites for sustainable ammonia synthesis using advanced computational techniques and artificial intelligence

Ammonia is the second most-produced chemical globally, most of which is used in the fertilizers industry. Currently, it is synthesized via the Haber-Bosch process operated at high temperature and pressure using a Fe-based catalyst, which contributes to the generation of 420 million tons of CO2 per year. Therefore, researchers worldwide are currently looking for inexpensive […]

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Digital Twin of a Rotating Machine: Model Order Reduction and Artificial Intelligence for Hydroelectricity Production

Hydroelectric power units are more solicited today than in the past when they were usually operated at baseload. Because of this, their operating conditions include many starts and stops, and partial load conditions, resulting in premature and unpredictable failures. With a digital twin, these units can be properly monitored and accurately modeled in order to […]

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An ecological economics analysis of Quebec Sustainable Mobility Plan

As part of the transition plan to low-carbon economy, the province of Quebec (QC) has become one of the 20+ regions and cities worldwide to announce a plan to electrify transportation which centers around setting up a ’complete electric battery ecosystem’ by 2050. While this plan poses a new phase of land appropriation and environmental […]

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AI for catalyst discovery

In this project, we will develop innovative AI tools to speed up the process of catalyst discovery, in particular in the domain of renewable energy. Specific catalysts are essential to applications such as the efficient synthesis of solar fuels and fertilizer. However, many known catalysts are suboptimal in their efficacy or require scarce elements. Currently, […]

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Porous noble metal nanosponge plasmonic photocatalysts

Plasmonic catalysis is an emerging technology which holds the promise of utilizing light to facilitate a chemical transformation. Plasmonic materials interact with incident light through the excitation of localized surface plasmon resonance producing highly energetic electron-hole pairs. These hot electrons and holes are very active and get adsorbed to the materials in their surroundings through […]

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