The Acrel Energy Management System (EMS) is an intelligent platform powered by IoT, cloud computing, and big data technologies. It enables real-time monitoring, detailed analysis, and optimized control of multiple energy types — including electricity, water, gas, and heat — across industrial and building environments.

Designed with a layered distributed architecture, the system ensures a secure and scalable data framework that supports the full lifecycle of energy efficiency management — from metering and visualization to optimization and decision-making.

1.Technical Architecture & Key Capabilities

· Supervisory & Management Layer
Industrial servers and monitoring software deliver system-wide dashboards, alarm handling, and automated reporting.

· Network & Communication Layer
Supports RS485, Ethernet, and 4G connectivity via smart gateways for multi-protocol integration and reliable data acquisition.

· Field Device Layer
High-precision meters, sensors, and submeters perform real-time data collection at equipment and load points.

2.Core Function Modules

1) Real-time Monitoring & Visualization

· Live topology and energy flow diagrams

· Operational status and alarms via SMS / App / voice push

2) Efficiency Analytics

· Sub-item energy breakdown (HVAC, lighting, production lines, etc.)

· Peak-valley tariff analysis and consumption benchmarking

· Carbon emission conversion and ESG-oriented reporting

3)Prepaid Billing & Remote Control

· Supports prepaid meters with online recharge and automated disconnection/reconnection

4)AI-Driven Forecasting

· Load and demand prediction

· Anomaly identification and risk alerts

3.Application Scenarios & Success Cases

1) Public Buildings

· Energy management for transport hubs and sports venues

· Optimized HVAC & lighting strategies reduce operational costs

Example: A large stadium achieved 20% energy cost reduction after deploying sub-metering and dynamic scheduling.

2) Education & Healthcare

· Sub-item monitoring ensures transparent energy budgeting

· HVAC optimization based on environmental data achieved 15% efficiency gain in hospitals

Example: A university saved over USD 100K annually with peak-shaving strategies.

3) Industrial & Transportation Infrastructure

· Real-time monitoring for tunnels and manufacturing facilities

· Load control with prediction algorithms improves efficiency by 10–18%

4.Future Outlook

Aligned with global carbon-neutral goals, Acrel will continue enhancing AI algorithms for:

· Load prediction and fault diagnosis

· Integrated control of generation-grid-load-storage

· Sustainable energy ecosystem development

Acrel remains committed to helping partners accelerate digital transformation and unlock the full value of energy data.