AI-Enabled Emissions and Resource Management to Achieve Enterprise Sustainability Goals
BHC3™ Sustainability provides real-time visibility and AI insights to reduce emissions and consumption of resource such as water, chemicals, and steam across refineries, petrochemical plants, office buildings, and vehicles.
Demonstrated Benefits
10-20%
Decrease in greenhouse gas emissions
5-15%
Decrease in resource (such as water, chemicals and steam) consumption
15-25%
Decrease in time and costs to prepare external reports
Next Generation AI-based Emissions Management
Difficult to determine optimal efficiency and emissions-reduction actions
AI-based recommendations and insights identify highest-value opportunities to meet emissions-reduction objectives
Fragmented data systems relating to fuel combustion and process emissions
Comprehensive, unified view of all operational data sources enable monitoring and analysis of combustion and process emissions in near real time
Inability to measure progress against sustainability goals
Automated measurement and verification with machine learning enable accurate tracking against sustainability targets
Time-consuming manual tracking of energy efficiency projects
Streamlined tools to assemble, prioritize, and validate a portfolio of capex projects and efficiency initiatives
Rigid, closed, and non-scalable systems
Flexible, secure, and open platform offers robust integrations and full interoperability with all enterprise and extraprise systems
