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Abstract

Abstract

Qatargas and TOTAL Research Center-Qatar (TRC-Q) have established a joint project to study Predictive Emissions Monitoring Systems (PEMS). PEMS are an emerging software solution designed to partially or fully replace online analyzers such as Continuous Emissions Monitoring Systems (CEMS) by deriving emissions concentrations from process data. The pilot project that is being undertaken based at Qatargas is focused on NOx emissions for a particular study selected turbine, which is already equipped with a CEMS. In the set up and establishment of a system different approaches can be used: calculations based on thermodynamics, statistical relationships and neural networks. Four PEMS system suppliers have been selected representing these different approaches, and have built their PEMS solutions based on a full year of turbine operating data. The results and performances are compared in a blind benchmarking as well as against in-house calculations.

There are several expected advantages in the use of PEMS. CEMS are an expensive solution with difficulties related to their installation and maintenance (need to shut down the installation, potential for unreliable performance in harsh conditions) whereas PEMS are purely based on software and process data already available and therefore can have more robust operation. By providing a relationship between the process and the emissions, PEMS help the understanding of the behavior of the installation with regards to its emissions, and thus enables better emission control. This pilot project is expected to serve as a showcase for this new technology to local authorities and industries.

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/content/papers/10.5339/qfarf.2011.EVP19
2011-11-20
2020-11-24
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