July 6, 2022
data centres
data centres

With the advent of microgrid technology in mission-critical markets, power system modeling, analysis and simulation has become more important in the design and operation of data centers. Therefore, making the right design decisions early in the system planning phase is now paramount to supporting energy efficiency strategies to significantly reduce the total cost of ownership (TCO) and improve the reliability of engineering and facility operations.

Owner-operators of today’s modern data centers are looking for smart data center solutions where facilities are designed, analyzed, validated, and then brought online to provide systems with improved efficiency and lifecycle management. From design to deployment, real-time operations and back to capacity planning.

Model-Based Design and Operations:

A model-driven approach codifies the design team’s intent to ensure that the facility behaves exactly as intended or better.

  • The power system model was validated for optimal performance early in the project (power flow, short circuit, protection adjustment, arc flash, reliability evaluation, etc.).
  • Once the facility is up and running, it continues to operate in online mode, comparing ‘as is’ and ‘as designed’ data.
  • It serves as the basis for real-time simulations and ‘what-if’ studies. Capacity, upgrades, defects, reliability, etc.
  • As the facility evolves over time, the model can be easily updated to serve as a repository of digital assets.

Leveraging system models, along with real-time data integration with metering devices, data collection and storage systems, enables data center operators to accurately monitor, visualize, predict, and operate their facilities.

Energy usage monitoring provides up-to-date data on power consumption, carbon footprint, and temperature and humidity settings. This information is essential for operators to identify opportunities to rapidly reduce power consumption, create energy-saving plans, and ultimately reduce OPEX costs.

Also, the indication of abnormal conditions is an important feature of the monitoring system. Alarm and warning schemes provide immediate signal for abnormal parameters, including areas of mission-critical facilities not directly measured. Dedicated data center interfaces, thin client dashboards and web-enabled reports provide operational efficiencies and efficiencies for new energy-saving projects.

Complementary automation features should include the following controls:

  • Automatically determines load requirements and manages load requirements for each Power Distribution Unit (PDU).
  • Transition sequence and work order management will request confirmation during the execution simulation of each step before proceeding to the next step to ensure that the sequence complies with safe transition procedures and to prevent inadvertent operation.
  • Based on the cost of generation, availability, and efficiency curves, determine the amount and combination of available distributed energy resources (DER) required to run a rack of servers without unnecessary amounts of power.
  • Load conservation through a load shedding application that monitors system health and determines when and how load shedding is required. This intelligent load shedding application then executes the desired optimal strategy and takes the necessary controls to cut the minimum required load.

A Smart Data Center Solution can be used from the design stage to optimize power usage, increase energy savings and reduce the TCO while maintaining high availability, reliability and security during the facility’s operation.

Extending the power monitoring system by equipping it with an appropriate electrical system model (context and knowledge), simulation, predictive analysis, playback applications, and load preservation system will provide the data center designer, engineer, owner-operator with a powerful set of intelligent tools and enterprise solutions.