Elster GmbH
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EnCal 3000 Quad– Hardware Manual
22/06/2017
12/52
2
Functional Design
2.1
Introduction
The Encal 3000 Quad is the combination of two housings in one measurement System. In the two housings
is place for up to four analytical channels that are controlled by one processor board. This System has been
especially developed for extended analysis applications which cannot be solved with just two channels. One
possible example is the combination of a calorific value analysis up to C9, the analysis of hydrogen, oxygen
and the sulphur components hydrogen sulphide and carbonyl sulphide. For the analysis up to C9 the two
standard channels are used, for the analysis of hydrogen and Oxygen a third channel and for the sulphur
components a fourth channel is required. With up to four channels it is possible to analyse all typical
components of interest in one system.
The two housings are mounted on a metal plate to have a stable connection. The right housing, further
referred
as “Master unit” contains the first two channels, the processor board for the control of the
measurement system and the sample selection. The left housing, further referred
as “Slave unit” contains the
third and optionally fourth channel (depending in the application). Both housings have a separate power
supply board (interconnection board).
The slave unit shares the output of the stream selection in the master unit and therefore no additional stream
selection is needed. The required gas connections between the two housings are preinstalled.
The most important features of the Encal3000 Quad are:
Compact EX-d design
Complete stand-alone operation
Capillary and micro packed columns in combination with MEMS analytical components
Fast analysis (extended analysis of higher hydrocarbons up to C12 within 5 minutes)
Highest analytical performance available on the market :
o
Uncertainty < 0.1 % for a wide range of gases
o
Repeatability < 0.02 %
Up to 5 sample streams sequential without external stream selection
Integrated sample system
Internal data storage for the last 35 days of all data
Suitable for extreme environmental conditions
