beyond the common ‘value drivers’ of individual projects.
However, multiple options for heat rejection systems are crucial to ensure optimal efficiency based on local factors..This balance between consistency and site-specific optimisation is a key consideration in modern data centre design for worldwide clients..
The table below is based on large data centre deployments ranging from 5MW to 100MW data centre / campus, although, some information may be relevant for smaller installations.. Energy/water efficient heat rejection systems.An efficient heat rejection system design is limited by the following parameters:.Supply air/water temperature:.
the design temperature the cabs/racks/CDU require during normal conditions..Peak summer and yearly external temperatures:.
the design temperature the external heat rejection equipment must be rated to, typically there will also be an additional allowance for recirculation for multi-unit installations (usually validated by an external CFD based on extreme temperatures and wind conditions)..
In an ideal scenario, the peak summer design temperature would be lower than the required supply air/water temperature in the data hall.Standardising areas of variance and stepping away from totally bespoke designs is key..
The perfect future is a ‘data clearing house’ where minor design modifications to better align with supply chain data can transform productivity..The key to achieving this is better communication between owners and suppliers, where the supply chain can offer equivalent alternatives and remove some ‘bespokeness’ from the process..
If we issue the same design intent multiple times but continue to detail it in slightly different ways, the result is lots of slightly different projects, all with different supply chains.Instead, we could save on project costs and schedules if everyone optimised around the same thing, started defining the information behind standardisation and supply chains, and began thinking of projects more like products.. 5.
(Editor: Basic Drones)