Wind Powered Heat Generator

Imagine a freezingly cold winter day with the strong wind blowing outside your house somewhere in Newfoundland, and you are comfortably sitting in your room with heating and warm water - even during a power outage! This could be realized with a novel device that directly converts the wind energy to heat. This project aims to develop such a technology. The kinetic energy from the rotational motion of a small wind turbine is converted to thermal energy through fluid agitation and friction in a unique heat generator with specially designed rotating blades, baffles, and working fluid.

Porous polymeric extraction devices for fast, convenient, and portable monitoring of organic contaminants in marine environments

Organic contaminants enter the marine environment through atmospheric transport, runoff into waterways, or directed disposal into the ocean. They are prone to long-range, bioaccumulation and can have adverse effects on human health and the environment. In this project, a simple and convenient extraction device developed for analysis of organic pollutants will be examined for various types of environmental monitoring such as active and passive sampling. Our proof-of-concept studies have shown the that these devices provide simple, high throughput, reliable and green analyses.

Advance WAAM for hybrid manufacturing and additive repair purposes

Nowadays, the need for newer, more flexible, and efficient production methods is higher than ever. As a disruptive manufacturing technology, powder-based additive manufacturing (AM) systems are best suited for the fabrication of complex but small components. The limited enclosed working envelope of the powder-based AM processes, along with their low deposition rate, hinder their capabilities in the fabrication of large-scale parts.

Development of Decision Support System for Dynamic positioning Control of Vessel

Current work presents an overall framework for control and monitoring of dynamic position of vessel in the offshore facilities. In the core of the framework a control system will be used to keep vessel in desired position and an estimator to estimate ice, wind speed etc. Outer layer of the framework presents a monitoring system that alert the operator when vessel moves away from safe operation zone. All the results of the framework will be presented in a graphical user interface. The graphical user interface will give a complete overview of the position control and monitoring state.

Sea cucumber (Cucumaria frondosa) processing discards (viscera): Potential nutritional supplements (powder and liquid extract)

The most common sea cucumber found in the North Atlantic Ocean is orange footed Cucumaria frondosa. Sea cucumber is packed with numerous high-value nutraceuticals and pharmaceuticals. During sea cucumber processing, visceral by-products are discarded as waste, representing around 50% of the sea cucumber biomass. These by-products are rich sources of proteins, vitamins, minerals, and biologically active compounds that may benefit overall health. Therefore, the proposed project will develop nutritional supplements (powder and liquid extract) from sea cucumber viscera.

SWASH (Shallow Water Autonomous Surveying Hovercraft) System

Common methods of surveying in very shallow water (

Development of ice-load simulator for offshore wind turbine towers

Ice load is a major design concerns for structures in the ice prone region especially for slender, monopole structures such as wind turbine towers where the dynamic load can induce severe vibrations. A careful assessment is essential to demonstrate the economic viability of such projects; however, the current design guidelines does not cover site-specific conditions for ice load and state-of-the-art knowledge on dynamic ice-structure interaction.

Shipborne Sea Ice Classification Using Neural Networks

The purpose of this project is to take existing state-of-art machine learning techniques and implement them for ice classification in polar seas. Ice classification plays a critical role in any icebreaker voyage. An ice specialist onboard the icebreaker is required to classify all ice environments encountered. This process is tedious and time consuming. This project aims to automate this process. In using cutting edge neural networks, images taken from aboard icebreakers can be used to classify each pixel in an image giving overall context and information about the environment.

Fiber Optic Hydrophone Array

The proposed work targets the development of a fiber optic hydrophone array for underwater acoustics detection and recognition, with the potential for applications in national defense. We propose a new concept of using a small-size low-cost fiber optic hydrophone that are nearly undetectable and can be deployed in a dense array across a wide area and depths. The new hydrophone technology will offer a real-time capability and the required dynamic range to detect and track underwater as well as surface vessels.

Ocean wind and wave parameter estimation using X-band marine radar images with rain mitigation

The real-time monitoring of sea surface wind and wave information are crucial to the safety, performance and efficiency of various weather-sensitive on- and offshore operations, such as oil & gas platform drilling, port operations and offshore wind farming. This project plans to propose an accurate and robust method to estimate sea surface wind and wave parameters (e.g., wind speed, wind direction, wave height, etc) using a type of sensor called X-band marine radar.