Cobalt Water Global, Inc.
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Total Water Decision Support Services
Specialists in decision support for managing the total urban water cycle. Cobalt Water Global offers a wealth of research and practical experience in the development of decision support frameworks for diagnosing, optimizing, planning, and design of drinking water and wastewater systems. Cobalt Water Global applies this expertise specifically for developing and implementing TotalWATER decision support solutions, including the integration of data management, artificial intelligence, machine learning, models/digital twins, and other tools for programmatic implementation of smarter and more sustainable urban water planning and operations.
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Solutions include:
TotalWATER AI
- N2ORisk DSS - Knowledge-based and machine learning-based risk assessment and mitigation of N2O emissions at water resource recovery facilities.
- Knowledge-based and machine learning-based risk assessment and mitigation of activated sludge bulking conditions
- Knowledge-based sustainable water treatment technology selection
- Machine learning for use in decision support frameworks for system/process optimization and for soft sensors
- Solving utility-specific challenges combining knowledge-based and learning-based AI techniques for sustainable water operations and planning
- Digital water solutions combining data analytics, AI, machine learning and modeling (digital twins) for sustainable water management in cities
Our AI and machine learning capabilities can be integrated into the following areas:
Water Utility GHG Emissions Reduction
- Developing framework for programmatic data management, use of GHG assessment tools, identification of GHG reduction opportunities, and evaluation of alternatives, as well as providing technical expert support for framework implementation
- Water utility GHG asssessment training and technical support
- Developing and implementing measurement plans for monitoring direct emissions from WRRFs, including N2O
- Net Zero Emissions roadmap development support
- Drinking water distribution system model-based energy/GHG assessment and reduction planning
- Wastewater treatment process model-based energy/GHG assessment and reduction planning
- Developing and implementing integrated GIS/hydraulic modeling frameworks for sustainable and `smart` drinking water distribution system planning, design, and optimization, integrating water quality, hydraulics, SCADA data, IoT, AI, and digital twin possibilities, as well as lifecycle costs, energy consumption/GHG emissions, and environmental impact of new drinking water supply strategies.
- Enhancing drinking water distribution system water quality management with AI and machine learning
- Developing model-based decision support frameworks and integrating AI, and digital twin possibilities for water resource recovery facility (WRRF) control optimization, design, and technology selection for biological nutrient removal, reducing energy and GHG emissions, and assessing resource recovery process impacts.
- Integrated water management assessment and drinking water distribution system and sewer system modeling for hydraulics, water quality, energy, GHG emissions and assessing benefits from water conservation, reuse, and rainwater harvesting schemes, at both city, industry and building scales.
- Water treatment and water efficiency technology selection, assessing performance, cost, environmental, and social impacts, for water utilities, industry, and commercial/residential buildings, including the AI Novedar_EDSS expert system for wastewater treatment/reuse technologies.