APC TradeOff ToolsTM, are web-based applications with easy-to-use interfaces designed for use in the early stages of data center concept and design development. By enabling data center professionals to experiment with various scenarios regarding virtualization, efficiency, power sizing, capital costs, and other key design issues, APC TradeOff Tools break down major data center planning decisions into a series of smaller, more manageable decisions. Use of these tools helps validate, through modeling, the overall design of a data center.
What are TradeOff Tools?
TradeOff Tools are simple, interactive tools, based on data and science, that make it easy to vary parameters, experiment with “what if” scenarios and make tradeoffs during data center planning.
- Simple, automated tools to support specific planning decisions
- Models complex interactions of systems based on data and science
- One-screen, standardized user interface
- Instant output allows for rapid creation of “what if” scenarios
When should they be used?
Used early in the planning process, TradeOff Tools help avoid planning roadblocks by making informed and accurate decisions
How do they help in planning a data center?
TradeOff Tools help show quantifiable, tangible benefits of implementing certain technologies and justify project decisions.
Impact of alternative power and cooling approaches on energy costs.
The purpose of this tool is to show how various design decisions and operating conditions affect the efficiency and electrical costs of a typical generic data center. As the user inputs details regarding the power and cooling configuration results are calculated based upon a tested and validated three parameter model.
Profiles a data center and calculates the resulting efficiency and electrical cost based on data center characteristics. Users can then understand the impact each key data center decision has on the data center’s efficiency.
Impact of geography and cooling characteristics on PUE, energy cost, and carbon emissions.
The purpose of this tool is to compare seven common cooling architectures and demonstrate their expected annual PUE, energy cost, and carbon emissions. As the user inputs details such as the data center location and power & cooling configuration inputs such as IT inlet temperature, % load, and type of power & lighting, results are calculated.
Impact of UPS efficiencies on energy costs and carbon footprint.
The purpose of this tool is to compare the efficiencies of two UPS systems and to show the impact these efficiencies have on electricity cost and carbon footprint. UPSs may be selected from a pull down list, or users can define their own UPS (Schneider Electric or other vendor). Pre-populated data was obtained by curve fitting to measured efficiency data . All measurements were taken in normal operating mode, at typical environmental conditions, with nominal elctrical input and balanced resistive load (PF=1.0) output.
Impact of changes in data center efficiency on energy costs and carbon footprint.
The purpose of this tool is to recognize how “green” a data center is by converting energy usage rates into carbon emissions. The tool illustrates how hypothetical changes to a data center’s location, efficiency, and power load can impact carbon dioxide emissions and the electric bill.
Illustrates how changes to a data center’s location, efficiency, and power load can impact carbon dioxide emissions and the electric bill. This provides management with a general indication of how “green” their data center is today and how “green” it could be.
Impact of physical infrastructure technology and growth plan strategies on key design parameters.
This tool allows key decision makers to analyze these parameters, evaluate tradeoffs, and make decisions, to avoid costly mistakes that can magnify and propagate through later deployment phases.
Impact of efficiency, load characteristics, and location on energy and carbon allocation for IT users.
The purpose of the tool is to help data center operators assign carbon and energy costs to IT users. Energy (cost) and carbon allocations are computed on a per-server basis, based on an “average” server. The units of “average” server can then be apportioned to the IT users using a method od choice depending on the business model. This tool allows IT users to make smarter decisions regarding their total cost, as they consider options such as virtualization and server retirement.
Impact of server virtualization and data center design choices on energy and space savings.
This tool illustrates potential IT, physical infrastructure, and energy savings resulting from the virtualization of servers. It allows the user to input data regarding data center capacity, load, number of servers, energy cost, and other data center elements.
Comprehends IT and physical infrastructure characteristics and calculates energy savings resulting from the virtualization of servers. This allows the user to test the impact of virtualization and various physical infrastructure improvements on their data center floor space and on their energy consumption.
Impact of physical infrastructure design changes on capital costs.
This tool identifies calculates capital costs based on parameters including load, redundancy, density, and power/cooling characteristics, the tool can project the number of racks required and the floor space required.
Identifies key data center physical infrastructure parameters and calculates capital costs based on those parameters. This allows data center users to judge how changes to data center location, IT load, and cooling and power infrastructure can impact overall capital costs
Impact of server and storage configurations on IT load capacity and required utility input power.
This tool defines basic characteristics of the IT load and calculates how much utility input power would be required to support that load, allowing users to experiment with “what if” scenarios by modifying the load characteristics of servers, mainframes, and storage. Total load is then calculated and the tool generates a corresponding utility power requirement.
Defines basic characteristics of the IT load and calculates how much utility input power would be required to support such a load. This provides users with a general idea of how much power in kilowatts they will need to run their data center.
Impact on data center efficiency of various AC and DC power distribution architectures.
Users can compare the energy efficiency of four different power distribution architectures, including Legacy AC (typically 208 V with older data center UPS, PDU, and IT power supplies), Best Practice AC (208 V with latest generation UPS, PDU, and IT power supplies), 415 V AC (same modern components as Best Practice AC, but eliminates the PDUs and assumes 230 V AC power supplies), and 380 V DC (uses a theoretical DC UPS, no PDUs, and IT power supplies with 1.5% efficiency benefit).
Compares four different AC and DC power distribution architectures and calculates their respective efficiencies. This allows the user to make an educated decision on the optimal architecture for their data cente
Impact of preferences and constraints on the recommended containment approach.
This tool generates a prototype rack and row cooling configuration based on the user’s layout preferences and the physical constraints of the room.
Generates a prototype rack and row cooling configuration based on the user’s preferences and the physical constraints of the room. This provides the user with their optimal InRow cooling containment configuration.
Impact of IT, cooling, & room characteristics on ability for row-based cooling to support ancillary IT loads.
This calculator helps the data center designer determine if additional cooling must be provided or if the existing row-based cooling is sufficient as miscellaneous ancillary IT equipment is added outside of the rows, such as tape silos, storage equipment, and networking gear.
Find out how Universal Networking Services brings a comprehensive solution from the utility pole to the server and assists with navigating the complex waters of most size and scope of projects. Whether you are upgrading, retrofitting or developing a new design-build, UNS and its partners generate efficient, scalable, reliable and manageable critical infrastructure solutions to your organization. Our holistic, common sense approach lowers our clients Total Cost of Ownership (TCO) and maximizes efficiencies offered by the advancements in critical power and cooling infrastructure.
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