As the Project Manager and Technical Lead for the City of Toronto's project, my primary responsibility was to oversee the development of the Green Vehicle Evaluation and Selection Tool (GVEST). This innovative tool was designed to support the City in the decision-making process when purchasing or selecting heavy-duty vehicles, specifically focusing on criteria air contaminants (CAC) and greenhouse gas (GHG) emission reduction, fuel economy, cost savings, and operational efficiency.
The GVEST tool incorporated a comprehensive evaluation framework that considered multiple factors critical to sustainable vehicle selection. These factors included CAC and GHG emission reduction potential, fuel economy, operational costs, and overall efficiency. By leveraging this tool, the City of Toronto could make data-driven decisions to procure heavy-duty vehicles that aligned with their environmental goals, while also considering economic and operational feasibility.
To ensure accurate GHG calculations, the project adopted the GHGenius model. This widely recognized model provided reliable and standardized methods for estimating GHG emissions across the vehicle life cycle, including fuel production, distribution, and vehicle operation.
The GVEST tool facilitated a comparative analysis of different heavy-duty vehicle options, such as garbage trucks, enabling the City to assess their environmental impact, fuel efficiency, cost-effectiveness, and overall operational efficiency. By utilizing this tool, the City of Toronto could prioritize sustainable vehicle choices that not only reduced emissions but also delivered economic benefits and improved operational performance.
Ultimately, the development of GVEST aimed to enhance the City's vehicle selection process by incorporating environmental considerations and promoting the adoption of cleaner and more efficient heavy-duty vehicles. By leveraging the GHGenius model and the comprehensive evaluation framework of GVEST, the City of Toronto could make informed decisions that contributed to their sustainability goals while optimizing resource allocation and operational efficiency.