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Description

Chiller Plant Energy-Saving Group Control System AI Load Prediction HVAC Cloud Platform (Chiller Plant Energy-Saving Group Control System)

Chiller Plant Energy-Saving Group Control System AI Load Prediction HVAC Cloud Platform
Chiller Plant Energy-Saving Group Control System AI Load Prediction HVAC Cloud Platform
Chiller Plant Energy-Saving Group Control System AI Load Prediction HVAC Cloud Platform
Chiller Plant Energy-Saving Group Control System AI Load Prediction HVAC Cloud Platform
Chiller Plant Energy-Saving Group Control System AI Load Prediction HVAC Cloud Platform

AI Energy-Saving Chiller Plant Group Control System Cloud Integrated Cold Source & Terminal HVAC Platform

1. Product Overview

The intelligent energy-saving chiller plant group control system is a full-link smart HVAC management solution for large commercial, public and industrial buildings. Focused on three core goals: energy efficiency, stable comfort & unattended operation, it realizes unified scheduling for chillers, hot water boilers, chilled / cooling pumps, cooling towers, AHU air handlers and network fan coils. Equipped with self-developed AI evolutionary optimization algorithm, MPC load prediction model & annual 8760h EnergyPlus energy simulation, it achieves deep linkage between cold source and air-water terminal systems. Local distributed DDC control cooperates with Alibaba Cloud remote platform, users monitor & adjust equipment via mobile APP, tablet or PC Web anywhere. The system automatically optimizes operating conditions with 20%~40% overall power saving, balances equipment wear and sends early fault warnings, cutting air conditioning electricity & manual maintenance cost widely used in hospitals, shopping malls, hotels, industrial parks, universities & pharmaceutical factories.

Three-Tier System Architecture

Architecture Layer

Core Hardware

Communication

Main Functions

Terminal Layer

FC270C network fan coil thermostat, CMP5/FC90 AHU DDC

RS485 bus

Indoor temp & humidity collection, local valve/fan control, group timing & temperature lock

Chiller Room Layer

CPM6 main DDC, AXM expansion module

RS485 + local TCP/IP

Start/stop & VFD control for chiller/boiler/pump/tower, PID valve regulation

Cloud Transmission Layer

NC350 central controller, GW07 protocol converter, 4G cloud collector

TCP/IP Internet / 4G

Data upload to cloud, multi-terminal remote access, alarm push & energy data analysis

Core Hardware Specification Table

Model

Application

Port Allocation

Operating Voltage

CPM6

Main chiller DDC

Multi DI/DO, AO analog VFD, RS485

24VAC/DC

AXM

DDC expansion module

Expand digital & analog IO points

24VAC/DC

NC350

Network gateway

Multi RS485 + Ethernet port

220VAC

GW07

Protocol converter

Multi-brand HVAC protocol conversion, TCP upload

220VAC

FC270C

Network fan coil thermostat

RS485, temp sensor, fan & valve output

220VAC

CMP5 / FC900

AHU controller

DP/fault DI, 0-10V proportional valve, fan speed

24VAC/DC

Four Core Technology Comparison

Core Tech

Technical Principle

Energy Saving Benefit

AI Evolutionary Optimization Algorithm

Iterate thousands of working conditions to calculate optimal unit quantity, pump frequency & valve opening

Keep system running at highest efficiency, avoid overcapacity waste

MPC Load Prediction Control

Predict cooling/heating demand via weather & historical data, pre-adjust equipment

Eliminate load lag, save extra energy in transition seasons

Annual EnergyPlus Simulation

8760 hourly energy modeling to output optimal baseline strategy

Calculate energy-saving income before project construction

Full Air-Water Linkage

Real-time terminal load feedback to chiller for dynamic output matching

Double energy saving, terminal load reduction cuts chiller power consumption

2 Eight Core Product Advantages

1 Global AI Optimization, 20%-40% Total Energy Saving

Different from traditional fixed logic group control, evolutionary algorithm traverses all working conditions in real time to match optimal unit number, pump frequency & valve opening. Combined with MPC load forecast, the system runs at high efficiency without manual operation, achieving 20~40% power saving for hospitals & shopping malls.

2 Dual-Stage Energy Saving Via Air-Water Closed Loop

Closed linkage between cold source and all terminals: When air handlers / fan coils reduce cooling demand, the system automatically lowers chiller & pump output to realize secondary energy saving, extra 10% efficiency improvement compared with chiller-only control.

3 Auto Rotation Extends Equipment Service Life

Record cumulative running time of each chiller, pump & cooling tower, distribute load evenly and rotate startup automatically to avoid long-time overload aging. All pumps adopt stepless VFD to reduce mechanical impact. Built-in current & temperature self-diagnosis sends early warning for bearing blockage & pipeline cracking, lowering overhaul cost.

4 Three-Tier Distributed Architecture, Stable Offline Operation

Local DDC controller operates independently even when cloud connection fails. Dual communication of local RS485 + Ethernet/4G ensures zero shutdown risk for 24-hour factories & hospitals.

5 Multi-Terminal Cloud Visual Remote Control

Alibaba Cloud monitoring dashboard displays real-time unit status, daily/monthly energy curves & indoor temperature. Users log in via mobile APP, tablet or Web PC to remote switch, adjust temperature & edit timing schedule without on-site staff.

6 Multi-Level Instant Alarm O&M

System sends APP & SMS alert within 15s for overload, filter blockage, abnormal water temp & communication failure. Distinguish minor warning & critical shutdown faults, record complete fault log for quick maintenance, supporting unattended 24/7 chiller room.

7 Full Compatibility With All HVAC Equipment

Unified control for water chillers, hot boilers, chilled / cooling pumps, closed cooling towers, AHU & network fan coils. Cross-brand protocol conversion available for renovation projects without replacing original chillers, only DDC hardware required for energy upgrade.

8 Support Large-Scale Thousands Of Monitoring Points

Single system supports thousands of signal points for shopping malls, hospitals & multi-campus industrial parks. Zoned group management enables independent temperature limit & timing for different areas to avoid idle energy waste.

3 Complete System Equipment List

  1. Chiller Room: CPM6 main DDC, AXM IO expansion, GW07 protocol converter, NC350 gateway, VFD driver, electric valve actuator;

  2. Water System: Water chiller, hot boiler, chilled/cooling pump, cooling tower, differential pressure & temperature flow sensors;

  3. Air Terminal: CMP5/FC900 AHU DDC, FC270C RS485 thermostat, filter DP & door contact sensor;

  4. Cloud Accessories: 4G wireless collector, Alibaba cloud monitoring platform, mobile APP, PC Web management, SMS alarm service.

4 Standard Project Implementation Process

  1. Site Survey: Count chiller, AHU & fan coil points, sort original HVAC communication protocols;

  2. Scheme Design: Match DDC & gateway hardware, output topology, point list & energy-saving benefit report;

  3. Hardware Installation: Wire DDC & terminal thermostats, lay communication bus;

  4. Cloud Deployment: Connect gateway to cloud, draw visual dashboard & group alarm configuration;

  5. Commissioning: Import AI optimization algorithm, set zoning timing & temperature limits, 72h trial operation optimization;

  6. After-Sales Support: Remote online technical service, regular energy report & algorithm upgrade.

5 Main Application Scenarios

  1. Medical Buildings: Grade A hospitals, 24-hour cooling for wards, clinics & operating rooms;

  2. Commercial Complexes: Shopping malls, hotels, exhibition & cultural venues;

  3. Industrial Plants: Pharmaceutical workshops, heavy factories, constant temp labs;

  4. Education Campuses: Universities, primary schools, libraries & stadiums;

  5. Office Parks: High-rise offices, industrial zones, administrative buildings;

  6. Old HVAC Renovation: Upgrade existing chiller rooms without replacing main units for power reduction.

6 Typical Project Case Summary

A municipal people’s hospital renovation project: Equipped with 5 chillers, 2 hot boilers, 7 chilled pumps, 7 cooling pumps & 5 cooling towers, plus 165 AHU & 1452 fan coil terminals, total 6528 monitoring points. After deploying this AI group control system, air conditioning power consumption dropped by 32%, annual electricity cost cut significantly, 2 chiller room attendants reduced. Early fault warning avoids full-system shutdown all year round.

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