| Abstract Title: | Development of predictive analytics for the measurement of methane from gas turbines |
| Presenter Name: | Mr Jan Sandvig Nielsen |
| Co-authors: | Mr Peter Evans Mr Terry Plews Mr Yousuf Al Barwani Mr John Churchill Mr David Newmann Mr Magnus Falkenberg Mr Mogens Weel |
| Company/Organisation: | Weel amp; Sandvig |
| Country: | Denmark |
Abstract Information :
PEMS systems are an established method for measuring emissions of environmental pollutants such as NOx. A novel Predictive Emissions Monitoring PEMS systems has been developed to measure in real-time methane emissions from turbines providing an effective tool for improved methane reporting and information upon which emissions reductions can be designed.rnThe new PEMS system is designed to be independent of turbine manufacturer. It utilises existing control measurements fuel gas, load, temperature etc., environmental conditions air temperature, humidity and a first-principles combustion model based on reaction kinetics to derive traceable and continuous measurements. All calculations are performed using cloud computing and validated with reference measurements conducted by FTIR spectrometry. It can be combined with PEMS systems for other pollutants such as NOx and calculates CO2 emissions. Data is fed back to the facility for immediate ingestion and exported to a central database to provide independent and auditable emissions data.rnIn the presentation, validated data are presented from nine systems installed in Oman. The results show how methane slip can be different to the emission rate expected through the application of generic emission factors that rely upon fuel gas usage alone. Emissions are shown to vary over time and be closely associated with turbine start-up when it is cold and low-load operation. This illustrates the importance of continuous systems in determining the aggregate emissions over time and how PEMS can act as an input to improved turbine emission operational procedures. The use of cloud-based computing reduces the need for on-site modifications or computing, supporting rapid deployment and scale-up. Further deployments are scheduled, with each deployment used to refine the underlying PEMS model and build a more holistic view of how turbines can be a source of methane and the strategies that can be adopted to control them.rnThe approach presented here marks a new cornerstone in industrial accountability and transparency. Through real-time global methane emission monitoring the industry will be able to report emissions with high accuracy in an auditable way. Monitoring and measurement give operators the information they need to identify and prioritize emission reduction options.rn
