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Computational Fluid Dynamics (CFD) Analysis

Computational fluid dynamics (CFD) is the modern engineering solution to modelling flows of liquids and gasses across solid surfaces and through/around 3D structures. Its accuracy as a mathematical model is enabled by ever-higher computational capacity and speed and it has a lot of applications. For example, in Formula-1 aerodynamics, it has made most wind-tunnel testing redundant. The goal of a CFD calculation is to predict the highly detailed flow field in some region of interest. The flow field is not just the motion of a fluid: a liquid or a gas or even a collection of small particles. CFD can also predict the distribution of temperature and airflow.

Data centers are facilities that house computer servers, data storage systems, and telecommunications equipment. To ensure that these computer systems operate reliably, they must be adequately cooled: The airflow requirement of each server rack must be met, in order to maintain the rack inlet air temperatures within acceptable range.

Often data center design firm use empirical guidelines based on limited information. These guidelines or methodology of sizing and designing the HVAC system does not consider the air-flow behaviour and various obstruction that result in change in airflow behaviour. Inadequate airflow leads to insufficient cooling to the equipment resulting in overheating and thermal shutdown. Computational Fluid Dynamics (CFD) modelling or airflow modelling offers a more scientific and comprehensive design approach for Data Center cooling design.

State-of-the-art cooling centers use different types of systems (air or liquid cooled) and designs (raised floor or hot/cold aisles). One of the major concerns in designing an efficient air conditioning system is to eliminate possible “hot-spots” (regions of high temperature) in the room. CFD analysis can play an integral role in determining these hot-spots. In addition, it also provides a detailed analysis of the heat dissipation rate and flow patterns in the room. It can also provide insight into vent placement (both inlet and outlet), flow rate and temperature required of the cooling fluid and other design constraints for these systems.

This simulation software can be used for predictive modelling, what-if scenarios and capacity planning. It provides valuable information about the current state of your data center, as well as predictions about its potential future state based upon proposed changes so you can make decisions that eliminate negative impact on availability, capacity or efficiency.

Features of CFD Analysis

  • Visually assess cooling airflow and equipment temperatures
  • Investigate causes of and potential solutions to overheating
  • Pinpoint which IT assets will fail in a given configuration to avoid downtime
  • Run failure scenarios to confirm availability after a potential change
  • Increase usable capacity and rack utilization without sacrificing availability
  • Determine the best location for new equipment deployment to reduce impact on the rest of the room
  • Design and configure IT devices from scratch with risk-free testing
  • Understand the impact of planned changes before they actually happen
  • Plan data center refreshes using equipment and technology of the future without downtime risk
  • Predict how availability, physical capacity and cooling efficiency will interact
  • Know true boundary conditions for power density, outflow demand and footprints
  • Ensure that critical components operate below required temperature specifications under stress conditions
  • Impact of hot-aisle vs. cold-aisle containment to identify which option provides the highest savings
  • Data Center Airflow Optimization
  • Analyze data center floor space power consumption and heat load
  • Calculate cooling distribution airflow requirements from server room HVAC
  • Predict data center temperature distribution
  • Suggestions for open floor tile additions and server rack relocation to satisfy cooling requirements
  • Find the optimal position of a new asset
  • Reduce costs by optimizing airflow: identification of inefficient inlets or outlets
  • Reduce costs by optimizing operational conditions of cooling units (performance is usually overestimated)
  • Prevent equipment failure by simulation by what-if scenarios (e.g. power outage, malfunction of one fan etc.)
  • Dimensioning and positioning of the primary and backup cooling units
  • ENERGENIQ has design consultants with 14 years of experience that are pioneers in Fluid Dynamic Analysis in Data Center industry of Pakistan.