Cooling pathway framework for AI data centre expansion in the UAE
Dubai's digital infrastructure is expanding at a pace that places new pressure on utility systems already operating under constraint. As AI intensifies the thermal demands of data centre facilities, cooling strategy, water dependency, and electricity demand converge into a single resilience question for planners and operators in this region. A multidisciplinary consortium engaged TCC to structure a sustainability assessment framework capable of guiding infrastructure decisions before procurement and site commitments were fixed.
Starting point
The consortium brought together operational and academic expertise relevant to the UAE data centre context, but lacked a shared framework for translating that expertise into comparable, decision-ready outputs. Different consortium members approached cooling and utility questions from different technical starting points, and no agreed methodology existed for assessing options against a consistent set of sustainability criteria.
Without that common foundation, the consortium risked producing analysis siloed by discipline and difficult to apply in practice. In the UAE, those decisions carry longer-term system consequences. Summer cooling already accounts for a substantial share of grid load, and water supply depends on energy-intensive desalination, meaning that cooling choices at facility level can shift significant pressure upstream before it becomes visible at the site boundary. Establishing shared methodology was the necessary first step before the project moved into detailed modelling or stakeholder engagement..
How we engaged
TCC acted as the coordination, implementation, and translation partner within the consortium. We structured the analytical scope by mapping the variables that most shape cooling pathway decisions under UAE conditions: how cooling architecture, water dependency, electricity demand, and operational risk interact before infrastructure commitments are fixed.
From that mapping, we developed a comparison framework for assessing cooling and utility pathway options against a common set of criteria. We designed the framework to make system-level trade-offs legible, distinguishing clearly between site-level efficiency and broader utility system consequences.
We also designed and led a multidisciplinary scoping workshop, bringing together academic and technical experts to examine the water, energy, and cooling nexus under UAE conditions. The synthesis from that workshop shaped the framework boundary and clarified where the analytical treatment required the greatest rigour.
What Changed
The consortium gained a shared analytical basis for assessing cooling pathway trade-offs at a stage when infrastructure choices are still open and decisions have not yet been locked in. The framework provided a consistent approach for comparing options across water use, energy intensity, and operational resilience, producing outputs that hold up across disciplines and inform planning and procurement guidance.
The work gave the consortium a clear analytical foundation for the next phase and a replicable method for assessing the sustainability implications of AI data infrastructure decisions across the UAE and wider GCC.
