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Stakeholders are consulted along the way and experts review the design at certain points, but have little control over a concept that is put forward by the lead designer and is not always based on a full understanding of all relevant aspects.
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.
This allows the data centre to rely solely on the heat rejection plant and no chillers - minimising energy consumption and resulting in low PUE values.
PUE is dependent upon whether the heat rejection plant operates using adiabatic cooling..On-site operations can also model themselves on manufacturing processes to provide higher efficiencies, predictability and reduce waste.
In addition, this creates many more opportunities to implement automation and digital tools, particularly in off-site manufacturing..Previously, we have covered the general benefits of discrete event simulation (DEM) in construction (https://www.brydenwood.co.uk/discreteeventsimulation/s97989/), and the increasing use of these powerful tools as a core part of automation in construction.
The need for these tools is on the rise as design and construction continue to tackle some of the largest issues an industry could face: low and declining productivity, poor predictability, shrinking workforce and skills shortages.Other industries have been able to embrace new approaches and technologies to see continual year-on-year increases in labour productivity and other areas.