Process analytics is an important tool to efficiently monitor and control process plants. One of the key technologies is process gas chromatography (GC) which has established itself as one of the most important and powerful methods used in process analysis. GC systems are highly reliable and flexible by design to meet the variable requirements of multiple process applications. These analyzers have been improved continuously over the last few decades. In recent times, the number of plant maintenance personal is being continually reduced and concepts such as “Serviceability”, “Analytical Simplification” or “Digitalization” raised new requirement for the process GC like standardization as well as automated quality assessment and preventive maintenance.
New smart analytical modular configurations of a process GC include interchangeable and maintainable chromatograph modules. Furthermore, the modular design allows standardization and then reduces the maintenance complexity by using pre-configured application modules with identical hardware components for injection, separation and detection. Overall, analyzer off-line time can be decreased considerably as well as expertise required to perform the maintenance.
Although some process analyzers are sophisticated and include internal diagnostics and self-correcting capability, many do not. For plants with a larger number of process analyzers, or newer plants, process analyzer network communication is common. Analyzer Management and Data Acquisition Systems (AMADAS or simply AMS) are available and becoming more widely used to collect data from the process analyzer network and provide performance and maintenance data. It evaluates analytical systems to achieve optimal performance and builds the basis of the valuation of analytical investment & the correct maintenance response.
Smart Sample System is bringing analytical sample conditioning systems (SCS) into the digital era. Due to the challenges of extracting and delivering the sample from the process to the analyzer, the maintenance of SCS is often much higher than the analyzer itself. To minimize the demands on the analyzer technician’s time, SSSI automatically collects and transmits key operating information from the sample system to remote maintenance workstations. In addition, it brings improved measurement validity and reliability as well as reduced installation and engineering costs
The objective of this paper is to present and discuss the performance of modern process gas chromatographs using a modular approach, Smart Sample System and ASM.
Frederic Thielland is born in France (Burgundy) and he recently graduated with a MBA (Distinction degree) from Manchester Business School in 2013. Previously, he received a Master in Physics late 90’s from University of Marseille (France).
Frederic spent his entire career in the process analytics industry in various technical, sales and marketing roles. Since 2000, a lot of enthusiasm and energy spent in discussing, promoting, and sometimes servicing Gas Safety Monitoring equipment, CEM System, TDL Analyzers, Extractive Gas Analyzers and Process Gas Chromatography. In 2006, Frederic joined Siemens Analytics Products & Solutions in Singapore with responsibility in Asia. Now, back in Europe since 2015, Frederic Thielland is actively working on Siemens Process Gas Chromatography product line. He is responsible for supporting Siemens sales organization and for participating actively to the effort of developing Siemens business globally.