F E A T U R E

• Discharge requirements, local water constraints and permitting considerations

• Source-water variability and whether pilot plant trials are needed to validate a proposed treatment or reuse route

• How water use, quality and treatment performance will be measured and monitored, including Water Usage Effectiveness( WUE) where relevant

• Contingency supply and resilience during drought, outage or source changes

• Future expansion and life cycle cost, not simply day-one demand

All these points are interconnected. For example, a different water source might reduce reliance on potable supplies but introduce different treatment requirements. Higher recovery strategies can reduce feedwater demand or wastewater volumes but could change energy use, maintenance, residuals handling or process complexity. Cooling architecture can change both water demand and the quality required.

No single water-use profile or treatment strategy will fit every data centre. That matters even more when AI infrastructure is being delivered at pace, because late changes can affect programme, cost and capacity.

Specialist water expertise matters early in the design process

For architectural consultants and MEPs, water is one specialist discipline among many. Managing a project requires balancing numerous complex systems, which is why deep, specialised expertise in one subject is often outsourced. Detailed expertise in source-water chemistry, treatment, reuse, discharge and life cycle performance might not sit in-house on every project.

Therefore, engaging experienced water specialists early in the design process can help test assumptions, define realistic

treatment and reuse routes, coordinate interfaces with cooling and wider MEP systems and reduce the risk of late redesign, mis-specified treatment or avoidable capacity constraints.

Look beyond day-one demand and plan for expansion

Collaboration is most valuable early on, when the wider infrastructure strategy is still being shaped. The aim is not to specify the most complex treatment or reuse strategy available, but to understand the options and trade-offs early enough for water requirements to influence key design decisions while meaningful options remain open.

Scrutiny around water demand, source availability, cooling and reuse is increasing. Data centre water planning therefore needs to sit alongside other critical infrastructure decisions from the outset.

The objective is simple: avoid allowing water to become a constraint only after the wider design has already been locked in. �

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