Automated control features for Gas Turbines for combustion system mapping implementation and sustainment
Proceedings Publication Date
Presenter
Dr. Gianni Bagni
Presenter
Company
Author
Gianni Bagni, Maura Pasquotti, Erica Venturini, Pietro D'Adamo
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Abstract

Today there is a continuous increased need to operate in midstream applications with greater efficiency, availability, and reliability. Business operations depend on uninterrupted stream, which passes also from the capability of plant drivers, i.e., gas turbines, to operate continuously and safely, maintaining top operational efficiency to protect assets value and generate profits. In addition, highest environmental standards must be maintained without renouncing to assets' performance optimization.

Aeroderivative engines ("LM") with dry low emission ("DLE") combustion system by Baker Hughes ("BH"), are common main drivers used in midstream assets for their operational flexibility, high efficiency, and short maintenance outages. However, they require periodic combustion tuning, normally twice per year, to guarantee emissions compliance and to avoid combustion issues, e.g. high acoustics or blow-out, potentially affecting availability and reliability. Moreover, combustion tuning activities may require some time and they can be subject to limited operative conditions due to site constraints. So, BH identified the opportunity to improve the field engine availability by skipping the semi-annual DLE tuning activities.

The proposed solution is a full software-based solution - Automapping - available for LM2500 GT family with DLE combustion system, capable to automatically tune gas turbine combustion parameters for continuously keeping emissions within required limits. Compared with existing solutions currently available in the market provided by Original Equipment Manufacturers ("OEM"), this solution can work without any permanent CO/NOx sensor, with less complexity and costs to be managed.

Furthermore, Automapping includes an internal algorithm for combustion solutions exploration, capable to globally search the combustion adjustments keeping emissions below desired value, based on some internal emissions models for fast emissions evaluation not being bounded to emissions sensor response time. The combination with a predictive emissions monitoring system ("PEMS") allows to activate Automapping when emissions are outside the limits and to validate the identified combustion corrections.

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