Data Centre Audit Process
For existing data centre facilities, our team of engineers will undertake a detailed technical site audit and produce a comprehensive report detailing the condition of the installation and its current operation. This will be assessed against current best practices – a target level of resiliency or a specific operating standard such as Uptime InstituteTier Topology Standards or BS EN 50600 Data Centre Class Standards.
Our data centre audit process is designed to assess all elements of the facility from the physical location to the specifics of the plant and equipment. The Sudlows team undertakes a review of the configuration, type, and condition of critical plant items such as cooling systems, UPS, standby and critical power generation, and LV/HV distribution. In addition to this, specialist ancillary systems are also assessed; such as BMS and DCIM Systems, Security and Access Control and Fire Suppression. To ensure a comprehensive and complete audit process, our team will also evaluate the building fabric, security arrangements, and the current approach to maintenance.
During the data centre audit, passive measurements of the environment are taken and recorded to assess the thermal characteristics of the space and identify opportunities for improvement. Where a more detailed assessment is required or where specific modifications are proposed, this can be enhanced with a full in-house Computational Fluid Dynamics (CFD) analysis and report. This will model the running condition and can also simulate operational failures, design changes, and load additions to the space.
The data centre audit will also identify any underlying issues with the design or operation of the facility and can include a comprehensive single point of failure analysis, along with recommendations and potential options for mitigation. During the audit, a detailed assessment of the load within the space and current energy consumption will be completed, and recommendations made where there are opportunities to improve operational efficiency and reliability.