Leading Municipal Innovation
Integrated Municipal Solutions
Save money and invest smart in water, waste and energy systems
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Mission: We look for scalable and cost-effective solutions, while supporting communities through innovation, technology and resilience investment planning.
SCC offers high performance environmental systems analysis, design, optimization and investment planning in:
All with a focus on integrating solutions to allow our clients to save money and invest smart in the appropriate infrastructure and technology. |
Research & Development to Support Integration
SCC values academic research and the scientific method in demonstrating the various integrated benefits of innovative technologies that can be used for municipal applications. SCC currently works in the areas of:
SCC is also collaborating with various stakeholders on an AI-enabled precision infrastructure design and investment planning concept using advanced hydrographic analysis and network design principles to identify candidate multifunctional storage (MFS) reservoir sites on the Canadian Prairies for modulating climate change impacts (floods and droughts). High resolution LiDAR-based digital elevation models are essential for identifying potential MFS sites, hydrographic networks and network cost structure. The application of AI to LiDAR classification is a major commercial R&D area and will be applied to SCC hydrological systems design projects.
Current Projects:
- technology development and integration
- test/pilot projects
- academic collaborations with various post-secondary institutions
- commercialization of municipal technology within the Manitoba market
SCC is also collaborating with various stakeholders on an AI-enabled precision infrastructure design and investment planning concept using advanced hydrographic analysis and network design principles to identify candidate multifunctional storage (MFS) reservoir sites on the Canadian Prairies for modulating climate change impacts (floods and droughts). High resolution LiDAR-based digital elevation models are essential for identifying potential MFS sites, hydrographic networks and network cost structure. The application of AI to LiDAR classification is a major commercial R&D area and will be applied to SCC hydrological systems design projects.
Current Projects:
- Sludge in-vessel composting research/pilot project with Red River College
- Climate Resilience Investment Planning: Modelling Multi-functional Reservoirs under Climate Change (NSERC) with University of Manitoba
- Large-Scale Hydrodynamic Modelling for Natural Infrastructure Investment Planning (NRC-IRAP)
- Natural Infrastructure Design Software (NRC-IRAP)