Page 88 - Tcexpression2021 - Sept to Dec 2020

Process integration for energy efficiency solve and optimise virtually any flowsheet synthesis
and networking of unit operations problem. However, despite the simulators sophisticated
and rigorous modelling techniques, process simulations
C Sailaja, Published in Chemical Industry digest, fail to represent real-life plant data. In most cases, the
September ‘20, www.chemindigest.com user shows blind faith in the inbuilt configurations and
default selection of simulators’ methods, introducing
erroneous results for specific systems. Since simulators
can generate multiple and sometimes conflicting
solutions for the same set of external input data
parameters, this raises doubts about their effectiveness
and reliability. There are several reasons for simulation
failure. This article covers various issues that may help
users to derive meaningful results from simulations and
thus enhance the reliability of their simulations.

Back To Basics: Introduction To Pinch
Technology

Shreyas Choudhari, Atul Choudhari (Dy CTO), Chemical
Industry Digest, September ‘20
www.chemindigest.com

The Chemical Process Industry is one of the largest
consumers of energy. Heat exchanger network design
is a commonly used method for optimising the energy
requirements. Pinch analysis is a systematic method
Process Integration involves analysing the entire that can be used to minimise the external energy
plant rather than individual equipment to obtain requirements by utilising ‘available energy’ from the
an energy-efficient solution. It is a very challenging process streams to a maximum extent. Pinch analysis is
exercise to optimise a chemical plant for energy- usually carried out by using special software due to the
efficient operation. It involves efficiently integrating advancements in software technologies. For reaping full
different energy sources by implementing an energy benefits, this paper provides an overview and intends
management system and using the appropriate to go back to pinch technology basics, refresh and
instrumentation to measure energy consumption. This enhance users’ understanding. A simplified and outline
paper addresses the design and operational issues to approach for energy optimisation using Pinch analysis
optimise the utility generation & distribution in any is also presented.
process plant in a cost-effective manner and reduce
energy consumption. Industry 4.0 Digital Technologies to

Should You rely on your simulation optimise energy use in plants
results? Sunil Agarwal and Bharat Yadav, Published in Chemical
Industry digest, September ‘20 –ww.chemindigest.com
Atul Choudhari (Dy CTO), Petroleum Technology
Quarterly, October ‘20, www.digitalrefining.com Industry 4.0 is broader than the Internet of Things
(IoT) and encompasses technologies such as Big Data
Process Simulation is a useful and powerful tool analytics, Artificial Intelligence, and Machine Learning
to model chemical process flowsheets of varying (ML). This article includes a brief introduction to the
complexities. Modern-day simulators are built with Industrial Revolution 4.0. and elaborates about the
a comprehensive, pure component databank, an benefits of IIoT based solutions which are bringing a
exhaustive library of thermodynamics systems, physical significant shift in the way businesses are looking at
property estimation method, initial estimate generators plant operations and reducing energy intensity.
and inbuilt algorithms for every unit operation with a
user-friendly graphical interface. These simulators can

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