ⓘ Energy Logic
Energy Logic is a vendorneutral approach to achieving energy efficiency in data centers. Developed and initially released in 2007, the Energy Logic efficiency model suggests ten holistic actions – encompassing IT equipment as well as traditional data center infrastructure – guided by the principles dictated by the "Cascade Effect."
1. Energy Logic Assumptions
The first iteration of the Energy Logic model was introduced by Emerson Network Power on November 29, 2007. Described as a" new approach to energy optimization,” the model was developed in response to industry feedback suggesting a growing emphasis on promoting efficiency initiatives, without compromising the performance and reliability of the data center.
The Energy Logic data center efficiency model was developed based on research and modeling of a 5.000 square foot data center, including average IT equipment densities, common data center and facility infrastructures and their collective energy draw.
Energy draw for the 5.000 square foot data center model was based on the following assumptions:
 Data center has mix of servers ranging from new to 4years old
 Server refresh rate: 4 to 5 years
 No virtualization or blades
 No highdensity loads
 Average density: 3 kW/rack 120 W/sq. ft.
 Total compute load: about 600 kW
 UPS configuration: 2x750 kVA, 1+1 redundant
 Floormount cooling connected to building chilled water plant
 MV transformer 5 MVA at building entrance with switchgear
 Hotaisle/coldaisle configuration
2. The Cascade Effect
Based on the benchmarks established by the 5.000 sq. ft. model, Emerson Network Power recommended improvements to IT and data center infrastructures capable of maximizing total energy savings by leveraging the" cascade effect.” For the purposes of the Energy Logic model, the cascade effect assumes that for every one watt of energy saved at the server component level, a data center can expect to realize up to 2.84 Watts in cumulative energy savings as the initial reduction" cascades” through the infrastructure.
3. Energy Logic Actions
The Energy Logic model proposes ten vendorneutral actions that are forecast to reduce cumulative energy consumption by up to 50 percent reducing energy consumption to 585 kW from the data centers initial 1.127 kW load. The ten recommended actions prescribed in the Energy Logic model are:
 Establishing an efficient power distribution architecture yields a 3 percent savings
 Deploying highdensity supplemental cooling yields an 18 percent savings
 Deploying high efficiency power supplies matched to power needs yields a 12 percent savings
 Integrating IT equipment with lowpower processors yields a 10 percent savings
 Deploying variable capacity cooing equipment including chilledwater and directexpansion systems yields a 7 percent savings
 Implementing a data center monitoring and optimization strategy yields a 2 percent savings
 Deploying blade servers yields a 1 percent savings
 Implementing server virtualization throughout the IT infrastructure yields a 14 percent savings
 Implementing a server power management system/strategy yields an 11 percent savings
 Implementing data center cooling best practices yields a 2 percent savings
The Energy Logic model also suggests additional opportunities for energy savings, including:
 Implementing economizers for subsidized cooling
 Identifying and disconnecting unused servers
 Monitoring and reducing energy losses tied to facility infrastructure
 Consolidating data storage
4. Energy Logic 2.0
In 2012, Emerson Network Power introduced an update to the Energy Logic model, to take into consideration advances in IT and data center infrastructure technology.
Using the same 5.000 square foot data center benchmarked in the 2007 model, Energy Logic 2.0 updates the ten prescribed actions to reflect current technologies and average equipment efficiency. As a result, the updated actions are forecast to yield energy savings up to 74 percent reducing energy consumption from 1.543 kW to 408 kW in the model data center.
The ten updated actions include:
 Establishing a highdensity cooling infrastructure yields a 1.5 percent energy savings
 Implementing a server power management system/strategy yields a 9.4 percent energy savings
 Deploying highefficiency power supplies matched to power needs yields a 7.1 percent energy savings
 Implementing a temperature and airflow management strategy yields a 5.2 percent energy savings
 Optimizing the data centers power architecture yields a 4.1 percent energy savings
 Implementing a server virtualization and consolidation strategy yields a 29 percent energy savings
 Deploying lowpower components yields a. 11.2 percent energy savings
 Deploying variablecapacity cooing equipment including chilledwater and directexpansion systems yields a 2.6 percent energy savings
 Implementing a comprehensive Data Center Infrastructure Management DCIM strategy
 Establishing an ICT architecture yields a 3.5 percent energy savings
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