# Energy & Carbon Management Platform for a Large Manufacturing Enterprise - NR-TeK - 星启雨林科技 NR-TeK

> 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.

![Energy & Carbon Management Platform for a Large Manufacturing Enterprise](https://fsu.creght.com/site/2079247794568171520/1785321162579__图片5.png?w=3072&fmt=webp)

/Digital Energy-Carbon Management and AI Energy Saving in Manufacturing

# Energy & Carbon Management Platform for a Large Manufacturing Enterprise

Pain Point

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.

Approach

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'.

Partner

A Large Machinery Manufacturing Enterprise

Field

Digital Energy-Carbon Management and AI Energy Saving in Manufacturing

Service

Organizational Carbon Emission Management System, Product Carbon Footprint Accounting & Reporting Module, Refined Energy Management Platform, AI Smart Energy-Saving Algorithm Deployment & O&M

Result

95%

Energy & carbon data automatic collection rate reached

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'.”

— Head of Safety, Environment & Energy Management Department

![Energy & Carbon Management Platform for a Large Manufacturing Enterprise](https://fsu.creght.com/site/2079247794568171520/1785321162579__图片5.png?w=3072&fmt=webp)

[Next Case\
\
![Carbon Emission Factor Database for a Leading Lithium Battery Enterprise](https://fsu.creght.com/site/2079247794568171520/1786974734377__碳排放数据库.png?w=3072&fmt=webp)\
\
**Carbon Emission Factor Database for a Leading Lithium Battery Enterprise** \
\
Built a custom carbon emission factor database and LCA accounting system for a leading lithium mining enterprise, achieving precise modeling and automated product carbon footprint accounting across the entire process of lithium mining, dressing, and lithium salt processing.\
\
View Case](/en/research/lithium-carbon-factor-database.md)

> Full page index: [/llms.txt](/llms.txt)
