The BrowningÂ® branded
V-belt efficiency calculator calculates projected energy savings, achieving
gains of up to 3 percent for users. By entering a few key usage data points,
including geographic location and motor horsepower, as well as days and hours
per week, users can instantly calculate the estimated savings potential of
upgrading from a wrapped to a notched V-belt. It helps design engineers quickly
estimate the energy-savings potential of using Browning premium notched
V-belts. This software - which eliminates the cumbersome effort of formula
preparation, estimating motor load assumptions and electricity-rate validation
- provides a tool that with basic inputs allows the user to instantly see
projected energy savings, based on the country or state the equipment will be
operated in. Payback calculations are reduced from hours or minutes to
seconds. The calculator is unique - it
has a frequently updated database of average electricity rates, as published
annually by the Energy Information Administration and other related agencies.
The rates are automatically placed in the formulas when a user selects a
geographic location from the drop-down list. This feature can also be
overridden, by simply entering a value kilowatt-hour (kWh) rate value in the
kWh field, based on a negotiated electricity rate or peak rate change from
For more information, login to EPT EDGEÂ®
Online at www.emerson-ept.com
and access Energy Savings/Belt
Efficiency Calculator under the Product Information tab.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.