18meetingWG41  The 18th meeting of CEN/TC 264/WG 41 that is dealing with the new standard on Instrumental Odour Monitoring Systems (IOMS) took place last 28th of September. This was a short meeting to discuss some approaches for quality assurance and a call for volunteers to provide data to find out the best way to set a robust confidence interval for IOMSs. 

   After the last meeting discussions, it was clear that a plausibility check with real data was needed in order to test if the Chebyshev's inequality was appropriate as QAL1 procedure for IOMSs. Unfortunately, not enough data are available at this stage and no decision have been taken on this regard. The group is looking for more data on IOMS vs olfactometry tests to validate the statistical approach suggested, so anyone interested in contributing here may contact the task group leader to provide those data under a NDA.

Bland Alman Plot2
   Last Monday took place the 17th meeting of Working Group 41 (WG41) that is dealing on the new standard for Instrumental Odour Monitoring Systems (IOMS). This meeting was focusing on the statistics behind the Quality Assurance Level 1 (QAL1) of IOMSs. There are some aspects that make IOMS special as compared to other Automatic Measuring Systems (AMS) and one of these aspects is the cost of comparing the electronic signal of the IOMS with that of the reference method EN 13725.

   One of the key issues addressed many times during the WG41 meetings is that of the number of samples that should be taken in order to make QAL1 checks viable for IOMS manufacturers. Dynamic Olfactometry comes at a cost and odour is not a substance, it is a class. The question is: how many samples should be taken in order to have a representative picture of the IOMS performance?

   P48I3 Fugitive emissions of biogas in the Urban Solid Waste Treatment Plants are an important source of odors. These emissions that occur, for example, in the landfills cells, even when these are degassed with drainage wells connected for the extraction, transport and storage of the gas for its energetic use, or for torch burning, they are very difficult to detect and require processes that require a lot of time and high execution costs.

   The optical visualization of biogas using an infrared gas analyzer (Smart inspec-tion) allows obtaining excellent results by implementing leak identification and reduction programs with an unbeatable cost-effectiveness ratio.

A. Torres, J.V. Martínez, M.A. Cid, R. Cerdá

Labaqua S.A. Alicante (Spain)

 

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