Grant: CCI Applied Research and Development Grants
Lambton College of Applied Arts and Technology
$75,000.00
Development of Artificial Intelligence (AI)/Machine Learning (ML) Based Energy Management System (EMS) Software
EF 2024-25
Résumé
Located in Markham, Ontario, TROES Corp. is setting itself apart from other energy storage providers with its proprietary technologies and cost-effective and adaptable one-stop battery energy storage products and solutions. Recently, TROES and Lambton College have developed a complete Artificial Intelligence (AI) based Energy Management System (EMS) software – Dashboard for Battery Energy Storage System (BESS). It is successfully running live with various useful energy monitoring features and functions while expanding the TROES market and increasing its revenues. However, a better understanding of energy consumption is essential to TROES to ensure the optimal use of the residual energy present in a battery and prevent the batteries from deep discharge and overvoltage in the respective battery charging stations.
TROES seeks to extend its collaborative partnership with Lambton College's Lambton Energy Research Centre to improve and enhance the existing EMS. This next phase of the research aims to enhance the current system, designing and developing the database reporting tool User Interface (UI) for EMS to read and query the data from the database and implement testing to stabilize the EMS. The research will also aim to develop the Mi-Control System to allow TROES to control multiple systems from a single dashboard.
The research completed in this next phase is critical to TROES product commercialization. The success of this project will support TROES' continued growth in the energy storage industry both in Canada and worldwide. Enhancing the existing EMS will allow TORES to manufacture and assemble more systems in a shorter span and commission and test the systems remotely, further increasing the organization's throughput. TROES will also achieve a competitive advantage by providing its clients with access to the necessary UI pages of the server. Developing an AI/ML-based energy management system will further increase the performance of the battery systems to create higher economic profit. This will lead to an increase in sales of 30% each year and an additional 2-3 new positions annually.
Programme
CCI Applied Research and Development Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
CCARD-2022-00774
Name nom
Sheikhzadeh, Mehdi
Department département
Applied Research and Innovation - Lambton College (Lambton College of Applied Arts and Technology)
Organization id
26621
Institution établissement
Lambton College of Applied Arts and Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2022
Award amount
75000
Program id
CCARD
Program name en
CCI Applied Research and Development Grants
Program name fr
ICC Subventions de recherche et développement appliquée
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
nan
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Field of research list codes
RDF1020104
Field of research list names en
Machine learning
Field of research list names fr
Apprentissage machine
Socioeconomic objective list codes
RDS10505
Socioeconomic objective list names en
Energy storage and distribution
Socioeconomic objective list names fr
Stockage et distribution de l'énergie
Application title
Development of Artificial Intelligence (AI)/Machine Learning (ML) Based Energy Management System (EMS) Software
Keywords
Battery Systems; Artificial Intelligence (AI); Energy Management Systems (EMS); Machine Learning; SOC Estimation Modelling; Mi-Control Firmware Development; Mi-Control Server Development; Energy Storage System; Zero-Carbon Energy; Battery Energy Storage System (BESS)
Application summary
Located in Markham, Ontario, TROES Corp. is setting itself apart from other energy storage providers with its proprietary technologies and cost-effective and adaptable one-stop battery energy storage products and solutions. Recently, TROES and Lambton College have developed a complete Artificial Intelligence (AI) based Energy Management System (EMS) software – Dashboard for Battery Energy Storage System (BESS). It is successfully running live with various useful energy monitoring features and functions while expanding the TROES market and increasing its revenues. However, a better understanding of energy consumption is essential to TROES to ensure the optimal use of the residual energy present in a battery and prevent the batteries from deep discharge and overvoltage in the respective battery charging stations.
TROES seeks to extend its collaborative partnership with Lambton College's Lambton Energy Research Centre to improve and enhance the existing EMS. This next phase of the research aims to enhance the current system, designing and developing the database reporting tool User Interface (UI) for EMS to read and query the data from the database and implement testing to stabilize the EMS. The research will also aim to develop the Mi-Control System to allow TROES to control multiple systems from a single dashboard.
The research completed in this next phase is critical to TROES product commercialization. The success of this project will support TROES' continued growth in the energy storage industry both in Canada and worldwide. Enhancing the existing EMS will allow TORES to manufacture and assemble more systems in a shorter span and commission and test the systems remotely, further increasing the organization's throughput. TROES will also achieve a competitive advantage by providing its clients with access to the necessary UI pages of the server. Developing an AI/ML-based energy management system will further increase the performance of the battery systems to create higher economic profit. This will lead to an increase in sales of 30% each year and an additional 2-3 new positions annually.
