Energy & Carbon Management Platform for a Large Manufacturing Enterprise
Scattered energy and carbon data, reliance on manual accounting, untraceable product carbon footprint, rough energy management, and lack of data support for energy-saving retrofits.
Deployed an AIoT integrated energy & carbon platform, connecting organizational carbon emission management, product lifecycle carbon footprint accounting, refined energy monitoring, and AI smart energy-saving control to achieve a closed loop of 'measure - calculate - manage - control'.
A Large Machinery Manufacturing Enterprise
Digital Energy-Carbon Management and AI Energy Saving in Manufacturing
Organizational Carbon Emission Management System, Product Carbon Footprint Accounting & Reporting Module, Refined Energy Management Platform, AI Smart Energy-Saving Algorithm Deployment & O&M
Built an AI-driven integrated energy & carbon management platform for a large manufacturing enterprise, covering four major modules: organizational carbon management, product carbon footprint, refined energy management, and AI smart energy-saving control.
Challenge
The enterprise has scattered factories and numerous energy-consuming devices, with energy and carbon data relying on manual statistics, which are lagging and inaccurate; export products face CBAM carbon footprint disclosure requirements, but lack LCA accounting capabilities; energy management remains at the total volume level, unable to locate waste links; systems like air compressors and HVAC run roughly, with large energy-saving potential but lacking optimization tools.
Solution
Deployed an integrated energy & carbon platform to collect energy consumption and emission data across the entire factory via IoT, automatically completing organizational carbon accounting and target management; built-in LCA model to achieve one-click product carbon footprint accounting and report generation; refined energy analysis at the workshop, process, and equipment levels; AI algorithms optimize and control systems like air compressors and HVAC in real-time.
Result
Automatic data collection rate reached 95%, carbon accounting efficiency improved by 85%, and product carbon footprint report cycle was shortened to 3 days; energy consumption per unit of output value decreased by 15%, AI smart control saved over 4.8 million kWh of electricity annually (equivalent to reducing carbon by 3,400 tons), saving over 3.6 million RMB in electricity bills per year.
“One platform connects carbon inventory, carbon footprint, and energy saving. We have finally shifted from 'guesswork energy saving' to 'data-driven carbon reduction'.”
