Grant: CCI Applied Research and Development Grants
Lambton College of Applied Arts and Technology
$150,000.00
Modeling and Development of a Digital Twin Sewer Pilot System in a Wastewater Facility
EF 2024-25
Résumé
The wastewater management industry is crucial for environmental sustainability, climate change, and urban infrastructure. Sewer systems and wastewater treatment plants (WWTPs) significantly contribute to greenhouse gas (GHG) emissions in urban areas. The wastewater sector accounts for 3-8% of global anthropogenic methane (CH4) emissions, a potent GHG with 84-86 times the global warming potential (GWP) of carbon dioxide (CO2) over 20 years. Additionally, WWTPs produce nitrous oxide (N2O), which has a GWP 298 times that of CO2 over 100 years. Addressing these emissions is essential for mitigating climate change impacts. Indirect emissions from energy generation in the treatment process further emphasizes the need for innovative GHG reduction strategies.
Dynamita North America Inc. (Dynamita) is an entity in the environmental industry, specializing in wastewater management and treatment solutions. They support municipal and industrial WWTPs, software design, and business development. Wastewater treatment is a complex process that involves many uncertainties, and as a result, requires innovative technologies to improve efficiency, reduce costs and decrease the energy consumption of WWT. Artifical Intelligence (AI) can handle complex nonlinear problems and has become a powerful tool for exploring and managing wastewater treatment systems. While machine learning benefits wastewater treatment by enhancing data analysis accuracy and efficiency. In collaboration, Dynamita, Toronto Metropolitan University, Municipality of Middlesex Centre, and Lambton College aim to develop three digital tools tailored to sewer pilots to enhance operational efficiency, reduce GHG emissions, and facilitate informed decision-making for WWTPs.
The proposed suite of tools represents a significant advancement in wastewater management. While the concept of digital twins and soft sensors for infrastructure is not new, the integration of these technologies with advanced AI models and a complete digital twin platform tailored for GHG emission reduction and operational efficiency in WWTPs is innovative. The results will allow Dynamita to grow and expand, potentially doubling revenues in three years, and expand its workforce opportunity to manage digitalization, with one full-time and two part-time roles. Canada will benefit from a reduction in carbon footprint, lowered GHG, climate change effects, and promote a sustianable approach for other WWTPs to follow.
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-2024-00179
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
2024
Award amount
150000
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
RDF2080105
Field of research list names en
Wastewater treatment (including water treatment processes)
Field of research list names fr
Traitement des eaux usées (y compris les procédés de traitement de l'eau)
Socioeconomic objective list codes
RDS10202
Socioeconomic objective list names en
Water provision and waste services
Socioeconomic objective list names fr
Services d'approvisionnement en eau et services des déchets
Application title
Modeling and Development of a Digital Twin Sewer Pilot System in a Wastewater Facility
Keywords
AI-Powered Tools; Digital Twin System; Environmental Sustainability; Innovative Solutions; Operational Efficiency; Reducing Greenhouse Gas Emissions; Sewer System Process Optimization; Soft Sensor Development; Technology Advancement; Wastewater Management and Treatment
Application summary
The wastewater management industry is crucial for environmental sustainability, climate change, and urban infrastructure. Sewer systems and wastewater treatment plants (WWTPs) significantly contribute to greenhouse gas (GHG) emissions in urban areas. The wastewater sector accounts for 3-8% of global anthropogenic methane (CH4) emissions, a potent GHG with 84-86 times the global warming potential (GWP) of carbon dioxide (CO2) over 20 years. Additionally, WWTPs produce nitrous oxide (N2O), which has a GWP 298 times that of CO2 over 100 years. Addressing these emissions is essential for mitigating climate change impacts. Indirect emissions from energy generation in the treatment process further emphasizes the need for innovative GHG reduction strategies.
Dynamita North America Inc. (Dynamita) is an entity in the environmental industry, specializing in wastewater management and treatment solutions. They support municipal and industrial WWTPs, software design, and business development. Wastewater treatment is a complex process that involves many uncertainties, and as a result, requires innovative technologies to improve efficiency, reduce costs and decrease the energy consumption of WWT. Artifical Intelligence (AI) can handle complex nonlinear problems and has become a powerful tool for exploring and managing wastewater treatment systems. While machine learning benefits wastewater treatment by enhancing data analysis accuracy and efficiency. In collaboration, Dynamita, Toronto Metropolitan University, Municipality of Middlesex Centre, and Lambton College aim to develop three digital tools tailored to sewer pilots to enhance operational efficiency, reduce GHG emissions, and facilitate informed decision-making for WWTPs.
The proposed suite of tools represents a significant advancement in wastewater management. While the concept of digital twins and soft sensors for infrastructure is not new, the integration of these technologies with advanced AI models and a complete digital twin platform tailored for GHG emission reduction and operational efficiency in WWTPs is innovative. The results will allow Dynamita to grow and expand, potentially doubling revenues in three years, and expand its workforce opportunity to manage digitalization, with one full-time and two part-time roles. Canada will benefit from a reduction in carbon footprint, lowered GHG, climate change effects, and promote a sustianable approach for other WWTPs to follow.