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MELT VR Simulator Development
Reducing Emissions from Commercial Vehicle Training Funded through ERA’s Partnership Intake Program in 2021, Serious Labs Inc. (SLI) aimed to develop their innovative technology that simulates Class 1 vehicle training scenarios. While the project was ultimately cancelled, the technology had the potential to reduce greenhouse gas (GHG) emissions while supporting job creation and economic diversification
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Chiller Plant Model Predictive Control
Shift Energy has developed a predictive control software to reduce electricity consumption, water use, and carbon emissions associated with chilled water plants used for space cooling in large buildings and process cooling in manufacturing plants. The software uses digital twinning, machine learning, advanced wear modelling, and sensor upgrading to optimize chiller plant operation. Mariner anticipates
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Smart mining and adaptive control
NTWIST’s platform aims to innovate industrial control room operations, harnessing the power of advanced machine learning to deliver a state-of-the-art, AI-assisted process control system. It’s designed to enhance decision-making and efficiency while contributing to sustainability by optimizing resource usage.
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Advancing Leading Edge Horticultural Lighting Technology
SmartGRO Bioengineering Inc. has developed a proprietary, AI powered horticultural lighting system which has been shown in controlled trials to use up to 80% less electricity to produce an equivalent quantity of harvested fresh weight as compared to the horticultural lighting industry’s leading LED products. This technology offers a significant opportunity to help producers reduce
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Demonstration of Dynamic Power Optimization Software to Reduce Energy Consumption on Oil and Gas Pipelines
CruxOCM (www.cruxocm.com) is a technology company that provides software to enable autonomous liquids pipeline operation. The objective of this project is to implement and field test two new software products that will enable GHG reductions, cost efficiencies, enhanced safety, and increased throughput via the automation of oil and gas assets.
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Condition Recognition Wireless Network
CRWN.ai Identifies faulty or degraded transmission line infrastructure by monitoring electrical discharge and using ML and AI. CRWN.ai places smart sensors on poles to record electrical discharge continuously, and uses ML and AI to analyze data findings and identify infrastructure that may need repair or replacement. CRWN.ai can identify issues like arcing, tracking and Corona.
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Deploying Autonomous Oil & Gas Production Operations with an Adaptive Controller
Well Optimization for Oil and Gas Production Operations Approved for funding through ERA’s Partnership Intake Program in 2018, Ambyint set out to deploy autonomous oil and gas production operations at scale on wells utilizing rod lift and plunger lift. By project completion in 2020, Ambyint had a mature rod lift offering, fully commercialized plunger lift
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Beta Testing of EOS Technology
Building Optimization to Save Energy and Reduce Emissions Approved for funding through ERA and Sustainable Development Technology Canada’s (SDTC) joint call in 2017, Mariner Partners developed data analytics and process automation to improve the energy efficiency of large commercial buildings. By project completion in 2021, the technology successfully reduced energy consumption, thereby reducing emissions due
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Application of Artificial Intelligence at Pulp Refiners to Optimize Energy Usage and Product Quality
Project Overview Approved for funding through ERA’s Food, Farming, and Forestry Challenge in 2021, the project assessed the value and feasibility of using a Pulp Expert System (PES) driven by artificial intelligence developed by Innotech Alberta. By project completion in 2024, the technology demonstrated substantial potential for improving operational efficiency and environmental performance. Process Optimization
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Demonstrating the impact of genomics-enhanced whole herd genetic management platform on reducing beef greenhouse gas emissions
Project Overview Approved for funding through ERA’s Food, Farming, and Forestry Challenge in 2021, the project developed and demonstrated a genomics-enhanced whole herd genetic management platform for the beef industry. By completion in 2024, the platform successfully advanced, and now represents a valuable suite of genomic tools for the beef industry to select and breed
