Development of an economical organic Rankine cycle (ORC) modular rig using low-temperature geothermal heat sources

This proposal aims to address the urgent need for clean energy solutions in Canada, particularly focusing on harnessing geothermal energy to meet electricity demands. By utilizing an Organic Rankine Cycle (ORC) system, which efficiently converts geothermal heat into electricity, the project seeks to develop a modular rig integrated with parallel turboexpanders for enhanced performance. This […]

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Thermal Management System for High-Temperature Thermal Energy Storage Applications

This proposal focuses on enhancing renewable energy utilization by developing efficient thermal energy storage systems. By leveraging technologies like microscale flow channels that are reported to provide high heat transfer coefficients, the project aims to improve heat extraction rates, enabling better integration of renewable power generation systems with thermal storage. The collaboration between the University […]

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Exploring the decoration of nanostructured nickel sub-oxides with single atoms for energy conversion electrocatalysis

The proposed project aims to advance energy conversion processes by developing an innovative method to create single atoms (SAs) on a nanostructured nickel oxide support layer, facilitating electrocatalytic oxygen generation. With a focus on enhancing hydrogen and oxygen evolution reactions, crucial for renewable energy generation, fuel production, and energy storage, the project addresses pressing global […]

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Détermination des cycles de feux et de la biomasse (arbres) dans le secteur de la rivière Romaine

Les émissions anthropiques de gaz à effet de serre sont les principales responsables des changements climatiques en cours. Ainsi, les industries se doivent de mesurer et contrôler leurs émissions afin de réduire leurs impacts sur l’environnement. Les réservoirs créés lors la construction de barrages hydroélectriques relâchent des quantités importantes de CO2 et de CH4 dans […]

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Développement d’algorithmes de moindres carrés non-linéaires sous con-traintes appliquées pour la prévision de la demande en électricité

La prévision de la demande d’électricité à court terme est un des enjeux majeurs de l’exercice des activités d’Hydro-Québec. Cette tâche requiert de calibrer les paramètres de modèles de prévision complexes par rapport à un grand nombre de données. Or, un des systèmes de calibration utilisé quotidiennement éprouve des difficultés d’adaptation face à la nouvelle […]

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Enhancing Autonomous Driving using Multiple Large Language Models (MLLMs)

Nowadays, leveraging advanced technologies like Generative Artificial Intelligence (AI), particularly Large Language Models (LLMs) such as GPT, holds promise in revolutionizing safety measures and resource optimization. However, while these general-purpose LLMs excel in various tasks, they may lack context specificity. Domain-specific LLMs, such as those tailored for biomedicine and transportation, are emerging to address this […]

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Integrating graph-based data management into materials acceleration platforms

This research project aims to significantly improve the way data are managed in a specific self-driving laboratory in the AUTODIAL group of Prof. Hattrick-Simpers at the University of Toronto, focusing on discovering new materials that are resistant to corrosion. This class of labs, known as Self-driving labs (SDL) or Materials Acceleration Platforms (MAPs), use advanced […]

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Power Quality Improvement at Sunnybrook Health Sciences Center

Sunnybrook Health Sciences Centre, a major hospital and medical research facility in Toronto, is fed from a portion of the electrical grid that is subject to numerous short power dips. These dips can cause significant issues within the hospital. A newly installed generator was found to not only produce electrical power but also help support […]

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Advance Electrohydrodynamic Enhance Phase Change Thermal Storage

This research is motivated by a critical need for novel devices and technologies to harvest and store “lost” thermal energy energy at a time when societies around the world are facing surging energy demand. Solid-liquid phase-change materials (PCMs) are attractive solutions as they have a relatively high thermal capacity because of the latent heat of […]

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Méthode algorithmique de l’exploitation de la donnée sur les disjoncteurs moyenne et haute tension

Le réseau électrique d’Hydro-Québec est protégé par un peu plus de 9000 disjoncteurs haute et moyenne tension. La maintenance des disjoncteurs est d’une importance absolue pour assurer leur fiabilité et leur longévité de service. Cependant, le réseau est vieillissant et une maintenance systématique n’est pas une solution optimale pour garantir leur fiabilité qui change avec […]

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