Chemical Engineering June 2023 - 45

IIoT 2023 Special Advertising Section
Reduce the Operating Cost of Your Plant with IIoT
Using MATLAB and Simulink, acquire and analyze data from your process equipment and
build predictive models
A
ccording to the U.S. Energy Information Administration, U.S.
chemical industry companies consumed over 7 trillion BTUs of
energy in 2018, the most of any manufacturing industry. The most
energy-intensive chemical manufacturing processes include ethylene,
nitrogenous fertilizer, chlorine, and caustic soda production.
The energy consumption of these processes, as well as plants'
HVAC needs and equipment maintenance, contributes to the operating
costs of facilities.
Chemical engineering organizations have started building and
using industrial Internet of Things (IIoT) solutions to address these
challenges and minimize operational costs. Successful IIoT programs
enable engineers to build models that can predict energy
loads, monitor emissions, create digital twins of their assets, predict
assets' maintenance needs, and develop process control and
optimization strategies. Developing these programs starts with acquiring
process data, such as temperature, pressure, and flow rate,
from chemical process equipment, arrays of network-enabled sensors,
connected instrumentation, or databases. Data volume and
sharing needs dictate how and where data is stored-locally or in
the cloud. Engineers preprocess the raw data, develop visualizations
and models, and create apps or dashboards to uncover insights
and potential actions.
Many chemical engineers use MATLAB® and Simulink® software
to build IIoT solutions that minimize operational costs. A
critical recent development is the use of digital twins-virtual representations
of the
operating devices and
processes created in
Simulink-to optimize
plant, device, and process
operations.
Uncovering actionable
insights
from large data sets
can take time and effort.
Machine learning or deep learning models can be developed
depending on the information required to alleviate resource constraints.
Engineers in the chemical industry use MATLAB to quickly
build data-driven models that predict the energy demand of chemical
processes, emissions, or the remaining useful life (RUL) of critical
equipment such as heat exchangers, pumps, and compressors.
These models can help companies minimize the cost and environmental
impact of their operations.
MathWorks equips engineers with tools to develop end-to-end
IIoT solutions with built-in support to acquire sensor data; develop
their first-principles, data-driven, or hybrid models; develop control
and optimization algorithms; and deploy them on hardware or create
actionable apps or dashboards.
www.mathworks.com/solutions/chemicals-and-petrochemicals
New Monitor/Controllers Feature 7 Parameters in 1
Myron L Company multi-parameter water quality monitor/controllers are easy to install,
easy to use, and do the job of multiple monitors and controllers.
00 Series Multi-Parameter Monitor/Controllers include everything
required to simplify water quality management across
industrial applications in a single user-intuitive instrument.
Simultaneously monitor and control critical water quality parameters
through multiple inputs/outputs with the legendary accuracy
and reliability the Myron L Company has come to be known for. 900
Series Monitor/Controllers feature a simple-to-use LCD touchscreen
Graphical User Interface along with pluggable terminal blocks for
quick and easy equipment installation and configuration.
Monitor 7 critical water quality parameters simultaneously from
easily configured inputs: 2 Conductivity/Resistivity/TDS/Salinity;
1 pre-amplified pH/ORP; 1 BNC pH/ORP; 1 0-20/4-20 mA; 1 RTD
Temperature; and 1 Flow/Pulse. % Rejection is available as a derived
value. Conductivity/
TDS measurements feature
the ability to select from one
of three preprogrammed solution
modes, KCl, NaCl, or
Myron L's own 442 Natural
Water Standard, or to program
a User solution mode
based on a known solution.
Temperature compensation
is automatic to 25°C or can
be disabled by the user as
required. The pH/ORP input
CHEMICAL ENGINEERING WWW.CHEMENGONLINE.COM
9
channel is designed for use with Myron L pre-amplified pH and ORP
sensors. These sensors contain precision circuitry that increases
accuracy and permits application of the sensors over greater distances.
The 0-20/4-20 mA input allows user-defined 0 to full scale
values and units of measure for a wide array of sensor types.
Electronic or wet calibrations are easy to perform.
Outputs include up to 3 relays; 2 remote alarms; 1 0-20/4-20
mA; 1 0-5/0-10 VDC; and 1 RS-485 ASCII Serial Output. Relays output
to any user-supplied control equipment requiring up to 250V
each and can trigger on any input parameter. The 0-20/4-20 mA
output can transmit a signal for any input parameter. 0-5/0-10 VDC
can be scaled to optimize resolution and can output to a recorder,
PLC, SCADA system, etc. 0-1 VDC is possible with optional resistor.
Hysteresis values can be specified by the user or automatically set
by the 900 Series to prevent chatter.
The flow switch input can disable all relay outputs when triggered
by loss of flow. User adjustable cell constant (Conductivity/
Resistivity/TDS/Salinity) and sensor cable length (Conductivity/
Resistivity/TDS/Salinity, pH and RTD) increase accuracy.
Administrator and Operator password protection levels prevent unwanted
tampering. The brightly colored red, yellow, and/or blue
LCD background instantly alerts the user to the solution status. A
DIN Size Chassis makes it easy to mount.
Myron L also backs these instruments up with live dedicated
technical support that assures installation and operation success.
www.myronl.com
JUNE 2023
45
http://www.mathworks.com/solutions/chemicals-and-petrochemicals http://www.myronl.com http://WWW.CHEMENGONLINE.COM
Chemical Engineering June 2023

Table of Contents for the Digital Edition of Chemical Engineering June 2023
