The following problems are clear signs that the electricity within a data center is uncontrolled:
3DFS Technology addresses the root of network instability, reduces energy costs and makes data centers safer, efficient and resilient.
The increased control and efficiency experienced with Software-Defined Electricity reduces data center energy expenses.
Savings will be noticed in some of the following ways:
Savings on Operational Expenses Through Electrical Efficiency
Data centers can save 25% in overall electricity consumption
The IT infrastructure (i.e. servers, routers, switches, storage, etc.) and lighting will experience about a 15% reduction in energy consumption over their lifetime. Large motors and compressors (i.e. HVAC, CRAC, pumps, etc.) will experience about a 25% reduction in energy consumption over their lifetime.
Maintenance/Replacement Savings Through Protection
Data centers save up to 25% from their annual R&M budget
All data center assets will be supplied digitally perfect electricity, protecting them from any electrical fluctuation including surges and sags. Never under or overpowering a load allows it to operate as designed and significantly reduces the maintenance required.
Client Retention By Maintaining Certainty of Uptime
Data centers maintain digital control during off grid transition
Maintaining uptime during transition between power sources from grid power, to UPS, to generator/batteries, back to grid power is the riskiest event for downtime. Digital control of the electricity during this transition maintains stable voltage and balanced current, preventing the harmful transients and spikes that trigger downtime events.
Create a Resale Market for Replaced Equipment
IT equipment maintains resale value when powered with clean electricity
By protecting the assets in the data center with Software-Defined Electricity during operation, the resale value of those assets is substantially higher than equipment powered by uncontrolled electricity. This can help offset upgrades to assets and infrastructure and improves the quality of lower tier data center’s that rely on legacy equipment.
No matter data center design, digitally controlled electricity is a guaranteed improvement to the electrical network stability and uptime.
Increased stability will be noticed in some of the following ways:
Operational Improvement Through Heat Reduction
20 degree temperature drop in infrastructure and assets
Wasted electricity and work is exhibited as heat everywhere in the electrical network (i.e. transformers, PDU, UPS, power supplies, energy storage, VFDs, lighting, HVAC motors, etc.) 3DFS Technology maintains electrical energy as electricity preventing it from converting to heat and reducing the network efficiency.
Operational Improvement Through Increased Uptime
Data centers increase their uptime by dynamically controlling the electricity
Software-Defined Electricity maintains control and balance in the power network every microsecond to ensure electricity resiliency and perfect power to all loads. This approach neutralizes cascading electrical events (i.e. transients, surges, sags, swells, etc.), increasing uptime.
Operational Improvement Through Electricity Analytics
Every single device and event that occurs in an electrical network can be identified, tracked and monitored from the panel level
Data center power network and entire load profiles can now be digitally mapped and monitored for the ultimate in facility and asset awareness and management.
Operational Improvement Through Budgeting and Forecasting
Device level energy profiles over time provide exact data for financial modeling
Energy budgeting and forecasting typically allows for a large variance because of the volatile nature of pricing and consumption. Software-Defined Electricity eliminates that variance by ridding the network of electrical waste, providing the ultimate in energy accountability.
3DFS Technology opens a new, non-invasive layer of electricity data and analytics with the power of real time edge computing. This layer opens up enormous possibilities in non intrusive load monitoring and asset monitoring, management and forecasting.