Chemical Engineering June 2023 - 46

IIoT 2023 Special Advertising Section
Leverage Rigorous Simulations in
Monte Carlo Analyses
T
raditional process simulation, whether steady-state, batch, or
dynamic, can be used to analyze " what-if " scenarios. Processes
are often varied manually or with a sensitivity analysis, an approach
involving several if not tens of simulations. Optimizers can be used
to minimize or maximize an objective function and may run tens,
hundreds, or thousands of simulations.
A more common tool used when certain process variables have
inherent uncertainties is a Monte Carlo analysis, wherein thousands,
if not tens of thousands, of simulations must be run. A user
defines the uncertainties of each independent variable, and the output
is the distribution of the resultant objective, usually presented
in a histogram. Using a statistical approach like Monte Carlo not
only drives insight into process behavior but, when integrated with
a cost model, can guide the process design and uncover relationships
that are beyond purely technical considerations.
Until recently, rigorous techno-economic simulation would not
have been considered useful in such a calculation because of the
time and resources required. The individual simulation calculations
were slow, and a farm of simulator licenses and computer
systems would have been necessary to achieve usable results in
a reasonable amount of time. Today, however, a single CPU with
one software license can perform object-oriented, parallelizable
calculations to deliver results at exponentially higher speeds than
in the past.
As an illustration of the concept, consider a carbon capture process,
modeled in CHEMCAD, wherein the carbon dioxide content of
raw gas can vary (mean = 4.85% and standard deviation = .08%).
The pertinent question is, " What is the certainty that our facility will
have a positive operating net present value (NPV)? " The CO2 content
is randomly varied in 10,000 simulations, which takes approximately
two minutes on a four-core laptop. The resultant plot shows
a 93% certainty that NPV will be positive given the process feed
uncertainty.
The setup, calculations, and reporting are all done with a single
tool in a single interface, providing maximum flexibility and usability
for process engineers solving real challenges. To learn more,
please visit us at:
www.chemstations.com/CE
Unleashing IIoT Potential: Trillium Flow Technologies
Redefines Valve Performance and Maintenance
T
rillium Flow Technologies' new smart valve technology harnesses
big data and capitalizes on the digital transformation efforts
seen in industrial markets as IIOT gains traction. Meticulously
designed to offer comprehensive care for your plant's existing
systems, our cutting-edge solution delivers real-time monitoring
capabilities, empowering you to undertake planned preventive
maintenance, reduce downtime, and significantly enhance
productivity.
Our technology encompasses a simple bolt-on approach, upgrading
the existing valve by collecting operational data using an
interactive dashboard. The technology provides secure connectivity
and real-time data analysis. Process data is gathered from Trilliuminstalled
sensors or existing infrastructure, with wireless pressure
transducers installed on upstream and downstream pipework. The
predictive algorithm then processes live pressure readings and flow
meter outputs to map valve performance.
Harnessing the power of control valves with embedded sensors,
our system utilizes the innovative SMART algorithm to predict performance
degradation. This enables you to schedule repair or replacement
in a controlled manner, effectively avoiding the need for
ad-hoc maintenance work and costly emergency valve repairs.
User-friendly software eliminates the need to review extensive
diagnostic data and offers clear guidance on failure types and part
replacement planning, enabling efficient resource deployment and
just-in-time spare part delivery. An interactive dashboard provides a
comprehensive overview of equipment performance, with the flexibility
to delve deeper into areas of concern - while clear visuals and
46
alarms offer crucial information
for decision-making on underperforming
assets.
Our scalable gateway infrastructure
allows for remote real-time
monitoring of hundreds
of assets worldwide from a
single location. The system can
function as a standalone cloud
station or seamlessly integrate
into your existing infrastructure, ensuring secure data transfer
through a cloud environment and protecting equipment performance
data during local and remote access. Third-party hardware
interfaces can be created locally or in the cloud to gather process
information to support the algorithm.
By leveraging Trillium's remote monitoring capabilities, you
can eliminate the extra cost of on-site valve expertise. The system
maintains direct contact with the Trillium services division, providing
rapid response instructions for detected failures and ensuring
swift problem resolution. In addition, our team is always available
to conduct thorough analyses and recommend the best solutions to
resolve issues.
Experience the plant maintenance and productivity revolution
with Trillium's advanced digital transformation technology, expertly
crafted for the modern industrial world. Learn more at
www.trilliumflow.com/smart
CHEMICAL ENGINEERING WWW.CHEMENGONLINE.COM
JUNE 2023
http://www.chemstations.com/CE http://www.trilliumflow.com/smart http://WWW.CHEMENGONLINE.COM
Chemical Engineering June 2023

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