As energy prices slowly creep higher from earlier lows, the need for managing energy usage remains constant for most process manufacturers and producers. The U.S. Department of Energy’s Energy-Intensive Process Portfolio list processes in the refining, petrochemicals, chemicals, plastics metals, pulp & paper as large energy consumers.
In an earlier post, Identifying Components then Optimizing Industrial Energy Consumption, we highlighted some pulp and paper projects where energy optimization projects were successfully performed.
These capacitor banks are typically turned on and off manually since power factor is not typically controlled automatically. This facility worked with Emerson’s Industrial Energy consulting team to develop the electrical target calculation using Energy Advisor EMIS (Energy Management Information System) application.
In trying to identify the right equations, the team noticed that the dynamic gain of electric use vs production rate was constant but the offset (which represents the base electrical use with the plant down) seemed to differ depending upon the data set selected for analysis. The plant’s process engineer thought the bias value should always be constant—how can the base level electrical use change from day to day?
Power Factor Correction Unit, 75 kvarBy Echoray (Own work) [GFDL or CC BY-SA 4.0-3.0-2.5-2.0-1.0], via Wikimedia Commons
The Energy Advisor application now acts as a not-so-subtle reminder for the operators. When energy use is above target, they look to see if any capacitor banks can be switched off. Prior to this real time insight, the extra energy consumed by a capacity bank was out of sight and out of mind.
A second story Barbara shared was of a northern hemisphere, northern climate petrochemical plant. It requires the transfer of product and/or utility streams between units. While the layout of various plants often cannot be changed, the impact of heat loss due to changes in ambient temperature is often overlooked.
This plant used Energy Advisor to create the calculations for steam usage in a blending process. The process engineer found ambient temperature had a surprisingly high gain factor on the resulting equation. A bit more digging uncovered that the temperature drops on the product stream could be as high as 12 degC.
Based on this information, the engineer was able to justify upgrading the pipe insulation and prioritizing this project in the priority list of cost-saving initiatives.
You can connect and interact with other industrial energy experts in the Industrial Energy group in the Emerson Exchange 365 community.
The post Optimizing Energy Consumption with Real-Time Feedback appeared first on the Emerson Process Experts blog.
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