Power analytics increases resilience, reduces costs

As organizations become more reliant on electrical power – and the cost of downtime becomes more menacing to their bottom lines – they are scrambling to find ways to maximize resilience and minimize energy costs.

07/15/2008


As organizations become more reliant on electrical power %%MDASSML%% and the cost of downtime becomes more menacing to their bottom lines %%MDASSML%% they are scrambling to find ways to maximize resilience and minimize energy costs. But these factors are working against them:

  • The national power systems infrastructure is overtaxed

  • Internal power systems designs are not well-documented

  • New equipment tends to be designed for output instead of energy efficiency

  • Utility costs are going through the roof.

    • Recently, a technology called “power analytics” has been helping organizations to optimally design, diagnose and manage their power infrastructure. The technology protects operations, increases energy efficiency and predicts when and where power system anomalies could occur in real time.

      Power analytics defined

      Power analytics is similar to “business analytics,” which is the technology that provides statistical analysis of credit scores. As the credit score relies on real-time measurements such as income, outstanding debt and payment history to reflect personal financial health, power analytics determines the operational health of a facility’s electrical power infrastructure based on the answers to questions that include:

      • How stable is my power infrastructure?

      • How much gross capacity do I have?

      • How much is my capacity loaded?

      • Historically, is my infrastructure reliable?

      • Why have we experienced overvoltage and undervoltage problems the past 30 minutes?

      • How would my power systems integrity be affected if I lost utility power?

      • How does the installation of new equipment impact system integrity?

      • How much capacity would I gain if I modernized my facility?

        • How this technology works

          When an electrical power system is designed, it is routinely created by a power systems engineer using modeling programs. Available from a number of specialized CAD vendors, these programs allow engineers to not only design complex electrical power systems, but to simulate how they will perform in live operation. They can simulate and help resolve issues such as arc flash, power flow, power quality, protective device coordination and dozens of other power considerations. This process enables engineers to produce a model that is “perfect on paper.”

          Once the design is completed and accepted, electrical system engineers have a decision to make. Historically, the CAD model is printed out as an electrical one-line diagram and “thrown over the wall” to a construction firm who, at the completion of the project, archives the drawings. But with power analytics, the CAD model remains in electronic form and is redeployed in an on-line mode. As a result, all of the components and their specifications “go live,” to provide a benchmark for how the system should be performing an its ideal state, and what variations may exist between the “ideal” and “actual” states.

          Impact on energy management, costs

          How can the information divulged by a power analytics system help organizations lower their energy costs? If you are trying to increase the energy efficiency of a plant, the power analytics system will tell you how efficiently each piece of equipment is performing, what can be done to optimize its performance and how to accomplish needed modifications without taking the entire system offline.

          Once a facility is optimized for energy efficiency, power analytics can report accurate, real-time energy usage. These data can be compared to the “as-designed” energy usage to give insight into system unbalances, capacity restraints or overloads. The results of virtualization and other energy efficiency measures can be followed and assimilated. The system can then suggest scenarios for improved energy use based on its predictive diagnostics ability and by “what-if” simulation. At the current energy costs (based on $0.089/kWh), a nominal realized annual savings of 10% for even a relatively small facility is significant: greater than $100,000.


          Author Information
          Mark A. Ascolese is chairman and CEO of


          The benefits of power analytics

          Benefits of a power analytics system include:

          The design model codifies an immense amount of very detailed information about the power infrastructure at a component-level, which contributes to a global view of the entire interrelated power ecosystem

          Variations anywhere in the infrastructure are instantaneously isolated and assessed for the “ripple effect” they theoretically pose to the entire system, and potential threats and their resolution are immediately calculated and presented

           



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