ABOUT US

ATLANTIC ENERGY STORAGE 

Much of the global supply of lithium-ion batteries are not recycled at end of life. In many cases, these discarded batteries still hold a high percentage of their initial energy capacity. Atlantic Energy Storage aims at reducing the number of lithium-ion batteries that are being added to landfills by repurposing these batteries for stationary energy services.


Atlantic Energy Storage is spun out from research carried out at the Renewable Energy Storage Lab at Dalhousie University. The research focused on monitoring and reducing the degradation of electric vehicle lithium-ion batteries while performing electricity grid services.


Our energy storage systems are composed of repurposed batteries from electric vehicles. The development of new systems composed of repurposed battery arrays has the potential to reduce the overall cost to the customer, increase utilization of raw materials and cause a net reduction in the greenhouse gas responsibility of the global electricity system.


Atlantic Energy Storage will provide custom design and support for each system to meet the unique needs of our customers.


Atlantic Energy Storage is there for you throughout the lifetime of your investment by optimizing your system through advanced control strategies and machine learning algorithms to ensure you get the most out of your system.

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Our Lab

WHERE THE SPARKS FLY

All research and development occur at the Renewable Energy Storage Lab (RESL) located in Halifax, NS.  

This facility ensures we can test our products to meet the CAN/UL1974  standard and deliver a safe and reliable service to our customers. 

The Team

THE IGNIGHTORS

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Mark Elliott, MASc - CEO

Mark’s experience as a li-ion battery researcher and energy storage system integrator along with past entrepreneurial experience gives him the ability to make informed technical and business decisions for AES. 
Being introduced to machine learning to predict battery failure mechanisms at the battery intelligence lab at Oxford University, UK has led the way for the conception of using continuous learning algorithms to optimized energy services such as peak shaving. 
At the Hawaii Natural Energy Institute, Mark learned differential voltage techniques which can predict the degradation mechanism of a li-ion battery thus giving the opportunity to avoid certain degradation pathways and extend the life of the battery.
During Mark’s MASc degree, proprietary knowledge from his research at Dalhousie University has created much of the intellectual property held at AES.

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Lukas Swan, PhD - CTO

Professor of Mechanical Engineering and the Principal Investigator at the Dalhousie University Renewable Energy Storage Laboratory. He has 20 years’ experience with battery energy storage for electric vehicles and renewable energy (he has been an EV driver for decades). He focuses his R&D on unique, elegant, and robust solutions to transition from fossil fuels to efficient electrification. Lukas has a broad range of experimental and modeling experience with major battery chemistries and energy storage technologies. He has developed, tested, and evaluated an enormous variety of battery packs ranging from hand tools to freight trains to grid storage to remote islands. He is also a member of CSA and UL committees that have created and published international standards for energy storage systems. Lukas received his PhD and Master’s from Dalhousie University and his Bachelor’s from California Polytechnic San Luis Obispo.

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Prince Ding, MASc - Chief Engineer

 With years of experience and enthusiasm in energy storage, Prince takes the role of chief engineer and supply chain management. Prince holds a bachelor’s degree in the field of Chemical & Processing Engineering at University of Saskatchewan and a MASc of Mechanical & Materials Engineering at Dalhousie University. with experience in materials science, mechanical & electrical system integration, and battery system thermal management and safety, Prince is leading detailed product design and managing of international supply chain.