Bridge Data Centres and Concord New Energy Launch Singapore's First Hydrogen Barge Power Project to Power AI Infrastructure

On March 2, 2026, Bridge Data Centres and Concord New Energy signed a Memorandum of Understanding to create Singapore’s first marine-integrated hydrogen power generation system. This collaboration aims to provide modular, low-carbon energy specifically for next-generation AI data centers. By utilizing offshore barges, the partners intend to overcome local land scarcity and grid limitations while maintaining high safety standards.

The project focuses on a barge-based configuration that offers unique structural advantages for the city-state. This approach optimizes land use by moving power generation nearshore and creates a safety buffer between hydrogen infrastructure and core data center operations. Additionally, the modular nature of the barges allows for flexible scaling as AI computing demands increase over time.

This initiative aligns with Singapore’s National Hydrogen Strategy, which envisions hydrogen as a cornerstone of the nation’s 2050 decarbonization goals. BDC and Concord New Energy are also collaborating with Nanyang Technological University to accelerate clean energy research and talent development. This ecosystem-driven approach ensures that the project contributes to both infrastructure and local technical expertise.

Eric Fan, CEO of Bridge Data Centres, emphasized that AI-ready facilities require resilient and sustainable energy architectures. He noted that the barge-based solution explores innovative models for integrating clean energy with advanced digital tools. Concord New Energy intends to leverage its research centers to support the decarbonization of AI-intensive environments through specialized engineering expertise.

Beyond immediate power needs, the alliance will develop comprehensive supply chain frameworks for hydrogen storage and transport. These structures include long-term power purchase agreements and integrated energy storage to enhance system resilience. The successful deployment of this model could serve as a blueprint for other land-constrained regions across Southeast Asia.