Equipment Performance Optimization

The performance of all critical equipment will deteriorate over time due to accumulated build up of residue in heat exchanger tubes, oil particulate on compressor blades, and other similar effects, resulting in reduced throughput and/or an to increase in energy usage.

Plantweb Analytics, built on the KNet (Knowledge Net) platform, identifies deviation from equipment design or baseline and allows users to address these issues using a rigorous and comprehensive real-time approach.

This information is combined with clear graphical operating plots to show exactly where the equipment is currently operating versus expected or design conditions under the same operating conditions.

Additional technical information:

• Product data sheet plantweb health advisor
• Product data sheet plantweb performance advisor

1. Preconfigured software applications that continuously analyze both process (such as temperatures, pressures, etc.) and asset health data (such as vibration and bearing temperature) to provide an overall asset health rating (0-100%).
2. Compares actual performance against design expectations using industry-standard ASME PTC performance calculation techniques.
3. Provides on-line displays, trending, alarms, historization, key performance indicators and statistical process control (SPC) metrics.
4. 1st principle thermodynamic modeling and/or patented, statistical models.

Plantweb analytics (KNet) can be applied to:

• Compressors – Multi-stage, centrifugal and axial
• Compressors – Multi-stage, reciprocating
• Gas Turbines – Mechanical drive, generating
• Steam Turbines – Mechanical drive, generating
• Pumps
• Boilers
• Fired Heaters / Furnaces
• HRSGs
• Condensers – Air cooled, water cooled
• Cooling Towers
• Chillers
• Heat Exchangers (air cooled)
• Blowers
• Agitators

• MOL Refinery (Hungary) avoiding cavitation on 14 cryogenic centrifugal pumps.
• Suiker Unie (Netherlands) detecting cavitation on slurry pumps.
• Mining site monitoring furnace for lost efficiency.

• A commensurate reduction in CO2 emissions, either direct through reduced fuel consumption, or indirect due to reduced electricity consumption and hence emissions reductions at generation source.
• 0.5-2% of reduction in total site energy usage: purchased fuel, internal fuels, electricity.

• Improvements in operational efficiency, gains through proactive rather than reactive operations, faster turn-arounds through targeted maintenance. Formalisation and capture of inherent process knowledge and good practises, ensuring expertise can be retained with the organisation.

• MOL Refinery (Hungary)
• Suiker Unie (Netherlands)

Please contact Emerson Process Management for more information.