Dry Cooler Delivered for AI Data Center Project in France

Date:2026-07-29

Project Overview

 

With the rapid growth of  AI, high-performance computing, and digital infrastructure, modern data centers are facing increasing challenges in heat dissipation, energy efficiency, and long-term operational reliability. To support the cooling requirements of an AI data center project in France, SHENGLIN has delivered a high-capacity Dry Cooler system designed to provide efficient and sustainable heat rejection.

 

The project is deployed for a 35MW AI data center in France, featuring multiple high-performance Dry Cooler units to ensure stable cooling operation under demanding workloads.

 

Project Information

 

• Country: France
• Application: AI Data Center
• Cooling Capacity: 1700kW per unit
• Total Project Capacity: 35MW
• Cooling Medium: 30% Ethylene Glycol
• Power Supply: 400V/3Ph/50Hz
• System Configuration: Dry Cooler with Adiabatic Spray System

 

The system utilizes a glycol-based cooling circuit, where heat generated by IT equipment is transferred through the cooling loop and efficiently rejected to the outdoor environment by Dry Coolers. The integrated spray system further enhances cooling performance during high ambient temperature conditions, ensuring reliable operation throughout the year.

Project Features

 

Designed specifically for large-scale AI computing environments, this Dry Cooler solution combines high cooling capacity, energy efficiency, and operational stability. Compared with traditional refrigeration-based cooling systems, Dry Cooling technology reduces dependence on mechanical refrigeration by utilizing ambient air as the primary heat rejection source, helping lower energy consumption and simplify system maintenance.

 

The application of 30% ethlene glycol as the cooling medium provides excellent freeze protection and stable heat transfer performance, making the system suitable for various climate conditions. In addition, the adiabatic spray system improves heat exchange efficiency during peak temperature periods, allowing the cooling system to maintain reliable performance even under demanding operating scenarios.

 

The modular design of the Dry Cooler system also enables flexible deployment and easier maintenance, supporting the scalability requirements of next-generation AI data centers.

 

Project Significance

 

This successful delivery represents SHENGLIN's capability in providing advanced thermal management solutions for high-density AI data center applications . As AI workloads continue to drive higher rack densities and increased heat generation, efficient and sustainable cooling technologies have become essential for future digital infrastructure.

 

Through the integration of Dry Cooling and adiabatic technology, the project helps improve energy efficiency, reduce operational costs, and support greener data center development in Europe.