The Integrated Energy Management Platform is a smart energy management system launched by Guangdong Baldor Holding Group. It aims to help manufacturing enterprises achieve visible, manageable, and controllable energy use, improve energy utilization efficiency, reduce operating costs, and meet the requirements of national energy conservation and emission reduction policies.
Core Objectives
Solve problems such as inefficient energy management, opaque data, and serious waste.
Optimize energy use through digital means to achieve energy conservation and consumption reduction.
Meet the national "dual-carbon" policy and the needs of enterprise sustainable development.
Function and Features:
(1) Visible Energy - Data Transparency
Multi - level Monitoring: Achieve full - process energy data visualization from parks, factories, workshops to equipment.
Energy Flow Diagram Analysis: Intuitively display the flow of energy such as water, electricity, and gas to identify waste points.
Multi - dimensional Statistics: Support energy use analysis by area, time, item, and shift.
(2) Manageable Energy - Delicacy Management
Intelligent Reports: Automatically generate energy consumption reports for the whole factory, production, and administration.
Energy Efficiency KPIs: Set assessment indicators for workshops, teams, and production lines.
Cost Analysis: Optimize peak - valley electricity prices to reduce electricity expenses.
Power Quality Monitoring: Monitor data such as voltage, harmonics, and power factor.
(3) Controllable Energy - Intelligent Optimization
Time-based energy strategies: Shifts high-power operations to off-peak hours
Demand Management: Use AI to predict the best payment model and reduce basic electricity fees.
Intelligent Equipment Control: Remotely adjust the parameters of equipment such as air compressors and boilers.
PV + energy storage: Optimizes renewable energy usage with intelligent scheduling
Successful Cases:
Case 1: A Steel Pipe Factory
Problems: Low efficiency of manual meter reading, high energy consumption of air compressors, and waste of boiler waste heat.
Solutions:
Deploy an automatic meter - reading system to replace manual statistics.
Replace 5 high - efficiency air compressors, with an energy - saving rate of 28% - 36%.
Install a waste - heat recovery device to reduce gas consumption.
Results:
Annual savings of 720,000 - 820,000 yuan.
Gas consumption decreased by 3.7%, and compressed air costs dropped by 33%.
Case 2: An Equipment Manufacturing Enterprise
Problems: Unclear energy flow and high peak - hour electricity costs.
Solutions:
Establish an energy flow diagram to optimize the production plan.
Implement time - of - use energy strategies and adjust high - power - consuming processes to off - peak and flat - rate periods.
Results:
Annual savings of 500,000 - 600,000 yuan.
Process energy savings increased by 10.7%, and demand model optimization saved 15,000 yuan per month.