Development of a new method to analyze and quantify the combined energy efficiency and indoor air quality of HVAC systems based on air mixing in commercial and institutional buildings

One metric of HVAC systems’ performance that is largely underestimated is the efficiency of air mixing in the room, determined by multiple factors including room dimensions, the selection of air inlets and outlets as well as their location in the room. Air mixing can have a significant effect on the energy consumption of HVAC systems […]

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Effect of Mineralogy on the Application of Sensor-based Sorting Techniques

Comminution, the process of crushing and grinding ore to liberate minerals, is the most energy intensive part of the processing flowsheet and accounts for upwards of 75% of the overall energy consumption of the processing plant. Ideally we would only crush and grind those rocks that contain economically extractable amounts of minerals. MineSense has developed […]

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Developing an AI-Interpretable recommender system for maritime logistics chain

The research project aims to develop a special computer program so called “interpretable recommender system” to suggest the most efficient AI-Interpretable recommender system for maritime logistics chain to transport goods by ship. The program will use advanced math and machine learning to analyze large amounts of data about different ships and their movements. The goal […]

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