Saturday, May 8, 2010

Offshore predictive emissions monitoring

GE Energy introduces PEMS solution for offshore platforms at one-third the cost of similar-accuracy CEMS

Emerging legislation will soon require European offshore operators to monitor and report gas turbine emissions, with numerous other countries expected to follow suit. In the past, offshore platforms relied primarily on tem porary instrumentation to perform as-needed emissions estimates. However, this approach lacks the necessary models to extend results to other operating regimes and ambient conditions. As such, there are today only two viable options for compliance with regulations requiring higher accuracy: a Continuous Emissions Monitoring System (CEMS) or a Predictive Emissions Monitoring System (PEMS).

While a CEMS affords many advantages, including continuous and direct measurement of emissions, its capabilities may exceed the requirements of offshore operators.

A PEMS approach, in contrast, can approach the accuracy of a CEMS for as little as one-third the cost while adequately meeting the specific needs of offshore operators. Fortunately, such a PEMS solution is now available for the large installed base of GE LM2500 SAC aeroderivative gas turbines used in offshore service, and is easily extensible to LM6000 SAC units.

GE's PEMS solution (GE Energy) is implemented in System 1™ software and requires the following:
  • System 1 software, version 5.x or later
  • Bently PERFORMANCE™ System Extender module
  • PEMS configuration, tuning, and installation services
For users with existing System 1 and Bently PERFORMANCE software installations, the PEMS option is a simple add-on module. In most cases, it can even be installed remotely from an onshore location.

The PEMS module employs a GE-developed "first principles" emissions model for the LM2500 SAC gas turbine. This physics-based model uses fundamental engine parameters and conditions known to correlate to emissions output, drawing on extensive test results from the large installed base of LM2500 SAC units. It uses ambient conditions, various turbine operating param eters, and fuel properties as inputs and is valid for both gas and diesel fuels. The model computes emissions estimates for NOX, CO, and unburned hydrocarbons, while providing calculated values for CO2 and SO2. A calibration feature allows customization to a specific

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