L2M – Innovative Strategy for Reducing Energy Consumption and Pollutant Emissions in Liquid Fuel Carrier Ships

This project will develop two integrated boil-off gas recovery and re-liquefaction systems for liquefied natural gas and liquefied hydrogen carriers that harness ship exhaust heat and convert it into usable energy through the Kalina power cycle and water-ammonia absorption refrigeration unit. Unlike conventional re-liquefaction systems that require burning additional fuel to produce cooling, the proposed […]

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L2M-High-Performance MOFs for Direct Ocean Carbon Capture

The proposed project focuses on developing and testing metal–organic frameworks (MOFs) for capturing CO2 from both the air and seawater. The intern will identify promising MOF materials, conduct laboratory experiments to measure CO2 uptake, and use computational and machine learning tools to predict performance and optimize designs. The project also includes evaluating the costs, energy […]

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L2M-A Triboelectric Nanogenerator-Based Strategy to Minimize Battery Dependence in Ocean Sensing

We are developing a self-powered ocean-energy system that reduces reliance on conventional batteries by using triboelectric nanogenerators (TENGs) to harvest energy from ocean waves, currents, and wind. Unlike many existing technologies that struggle with low-frequency and unpredictable motion, TENGs are lightweight, low-cost, and highly efficient at capturing irregular, low-frequency energy. With nearly 70 % of […]

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L2M Highly Efficient DC-DC Converters for Small Offshore Oil Rigs

Offshore oil rigs play a critical role in Canada’s energy industry, but they rely heavily on diesel generators that are expensive, polluting, and difficult to maintain in remote marine environments. This project explores the development of highly efficient DC–DC converters—advanced electronic devices that improve the way electricity is managed on offshore platforms. These converters make […]

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L2M-Digitalizing On-Demand Inventory with AddManuChain Platform: An Innovative Bridge between AI and Additive Manufacturing for Sustainable Industrial Operations

The project aims to prove and commercialize AddManuChain, a computerized inventory system that will deploy on-site 3D printing to print certified parts on location at the remote industrial sites, including offshore oil platforms, mining operations, and also in the maritime facility to eliminate the expensive effect of long downtimes incurred during part replacement. The project […]

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L2M – PORT-EM: Smart Port Energy & EV Infrastructure Management

The transition to low-carbon ocean economies requires innovative energy solutions for ports and coastal communities, where electrification of ships, ferries, and vehicles is accelerating. Building on prior research in probabilistic EV charging demand forecasting, energy consumption modeling, and emissions analysis, this project proposes a Smart Port Energy and EV Infrastructure Management Platform. The system integrates […]

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Contribution of power electronic circuits to the reliability of low-carbon electric power systems

Governments around the world are making considerable efforts to promote renewable energy generation in electric power systems, and to promote technologies such as electric vehicles to replace fossil energy by green electric energy in order to combat the adverse societal impacts of global warming. However, the rising uncertainties in power generation from renewable resources and […]

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Market Analyst

Anessa is seeking a Market Analyst Intern to contribute to strategic growth by conducting in-depth market research and analysis across various sectors, including Wastewater Treatment Plants, Hotels, Hospitals, and Educational Institutions. The intern will play a critical role in enhancing the company’s understanding of niche markets and supporting business development initiatives.

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Multi-fidelity approach for the probabilistic assessment of dams

The proposed project seeks to evaluate the stability of concrete hydraulic structures using a progressive method that balances precision and computational expenses. By examining various simplification assumptions and analyzing different loading conditions, while incorporating machine learning techniques to merge data with different levels of accuracy, the project aims to enhance the evaluation of risks associated […]

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Optimisation des flux de production et d’autoconsommation d’énergie par intelligence artificielle au sein de communautés d’énergies intelligentes

Le projet s’inscrit dans le cadre d’une thèse qui vise à étudier la faisabilité de l’autoproduction et de l’autoconsommation électrique d’une communauté (un “social solar club”) et évitant au maximum les pics de consommation qui dépassent la capacité de production de la communauté. En France, un système mis en place par le distributeur national (EDF) […]

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Electrical Heating for Oil Sands Production

Traditional oil sands production techniques include mining and transporting the sands and in situ production using steam injection, Steam Assisted Gravity Drainage (SAGD). This proposed method will replace or enhance SAGD by using primarily traditional vertical well bores and an induction heating method which will potentially allow the heating effect to expand in diameter as […]

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Analysis to Facilitate Electric Public Transportation Demonstration Projects in the Canadian Urban Transit Research & Innovation Consortium (CUTRIC)

Battery electric busses (BEBs) are a promising emerging technology to replace the diesel buses currently the mainstay of public road transportation. Diesel buses contributed significantly to both climate-change related emissions, as well as local air quality issues. This project is examining a number of key issues associated with BEB adoption, in the context of a […]

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