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HEAT EXCHANGER NETWORK SYNTHESIS

HEAT EXCHANGER NETWORK SYNTHESIS banner
Live online Intermediate

HEAT EXCHANGER NETWORK SYNTHESIS

4(12)
5 views
FREE
8 hrs
Next month
English
Enggenious (SAN Techno Mentors)
Enggenious (SAN Techno Mentors)
  • Session recordings included
  • Certificate of completion
  • Interactive Video Lessons
  • Completion Certificate
Volume pricing for groups of 5+

Why enroll

  • Learn the techniques of heat exchanger network synthesis

  • Learn principles of optimization of processes by energy and resource analysis.

  • Learn how utility cost can be minimized

Is this course for you?

You should take this if

  • You work in Energy & Utilities or Nuclear & Power
  • You're a Chemical & Process / Mechanical professional
  • You have some foundational knowledge in the subject
  • You want to build skills in Corrosion, Energy efficiency optimization

You should skip if

  • You're looking for an introductory overview course
  • You need a different specialisation outside Chemical & Process
  • You need fully self-paced, on-demand content

Course details

Improving performance of a chemicals manufacturing facility is an ongoing process that must continue throughout the life of the plant.

Efficient use of heat can reduce the energy consumption which in turn reduces manufacturing costs. Networking of heat exchangers is a technique by which use of external utilities like, steam, cooling water, hot oil, chilled water, chilled brine etc., can be minimized. This can be achieved by exchanging heats of hot/cold of process streams with each other.

Network design methods are simple to understand and implement. Their main advantage is that they can be deployed prior to equipment design stage using only the process stream data. These methods can also be used in existing running plants under certain operating constraints. The network design provides optimum numbers and locations of heat exchangers within the processing train.

While designing the network, the optimization criteria used could be - minimization of external energy usage, minimization of heat transfer area or minimization of total annual cost.

This course also presents an example of optimization of number of effects of a multiple effect evaporator using the principles of optimization of processes by energy and resource analysis.

While the course presumes that the attendees possess Chemical Engineering background, other engineers from Process industries would also find the course useful.

Course suitable for

Key topics covered

Module 1 - Introduction, pinch technology, problem table algorithm, calculation of target area of heat exchanger networks

Module 2 - Countercurrent and mixed flow targets, cost targeting, rapid Sizing of heat exchangers, principles of optimization of Processes by energy and resource analysis

Opportunities that await you!

Skills & tools you'll gain

CorrosionEnergy efficiency optimizationEngineering & DesignGD&TPiping Layout

Career opportunities

Training details

This is a live course that has a scheduled start date.

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Industry-aligned courses, expert training, hands-on learning, recognized certifications, and job opportunities-all in a flexible and supportive environment.

What learners say about this course

ANU VARGHESE
ANU VARGHESE Fresher
Feb 25, 2026

Initially, I wasn’t sure what to expect from this course. The material stayed fairly grounded, especially when walking through open-loop versus closed-loop control beyond the textbook definitions. Examples tied well to things seen in chemical and pharmaceutical plants, like temperature control on a batch reactor and level control on a distillation column, rather than abstract blocks alone. There was also enough overlap with oil & gas and energy utilities to be useful, such as discussing pressure control on separators and basic boiler control logic. One challenge was mentally translating the simplified examples to real systems with dead time, sensor drift, and valve stiction. That gap is where junior engineers usually struggle, and it would have helped to explicitly call out those edge cases earlier. Still, the discussion on why open-loop control occasionally makes sense (maintenance modes, analyzer-based control) matched actual industry practice better than most courses. A practical takeaway was being more systematic about identifying the true process variable and disturbance before defaulting to a PID loop. Thinking at the system level—how one loop affects upstream and downstream units—was reinforced throughout. The content felt aligned with practical engineering demands.

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Muhammad Hussain
Feb 25, 2026

Initially, I wasn’t sure what to expect from this course. Process control is something that shows up everywhere on site, but the theory behind it had always been a bit fragmented for me. The sections on open-loop vs. closed-loop control helped close that gap, especially when tied to real examples like distillation column temperature control in chemical/pharmaceutical plants and boiler drum level control in energy utilities. One area that stood out was how feedback control behaves under disturbances. That directly connects to issues seen on an oil & gas separator pressure loop I’ve worked on, where load changes kept throwing the controller off. A challenge during the course was translating the block diagrams into what actually happens in the DCS screens, especially when multiple control objectives conflict. It took a bit of effort to map theory to noisy plant data. A practical takeaway was learning a more structured way to decide whether a loop even needs tight closed-loop control or if a simpler approach is acceptable. That alone will save time during commissioning and troubleshooting. The content feels immediately usable, and I can see this being useful in long-term project work.

Tarun Kumar Rajak
Tarun Kumar Rajak Piping Engineer
Feb 25, 2026

This course turned out to be more technical than I anticipated. The treatment of open- and closed-loop control went beyond block diagrams and actually tied into situations seen in chemical and oil & gas facilities. Examples around distillation column temperature control and refinery feed flow control felt familiar, especially when discussing interactions between loops rather than treating them in isolation. One challenge was translating the clean theoretical models into messy plant realities. Dead time, sensor drift, and valve stiction were touched on, but it still took effort to mentally map those concepts to something like boiler drum level control in energy utilities, where safety margins dominate tuning decisions. That gap is real in industry, and it showed up here. What worked well was the emphasis on understanding process behavior before jumping to controllers. A practical takeaway was the reminder to question whether a loop even needs to be closed, particularly for slow-moving pharmaceutical batch processes where manual intervention can be more robust. Compared with common industry practices, the course leaned more analytical than procedural, which is useful for system-level thinking. The content felt aligned with practical engineering demands.

Nupurkumar Prajapati
Nupurkumar Prajapati supervisor
Feb 25, 2026

This course turned out to be more technical than I anticipated. The coverage of open-loop versus closed-loop control was straightforward, but the real value came from how those ideas were tied to actual industrial examples. The sections on PID control and feedback loops lined up well with issues seen on chemical and pharmaceutical projects, especially around reactor temperature control and maintaining consistent product quality. Examples around distillation column control also felt familiar from oil and gas work, where small tuning errors can ripple through the whole unit. One challenge was mentally translating the clean block diagrams into what actually happens in a live DCS environment, with noisy signals and slow valves. The course didn’t hide that gap, which was helpful, but it did take some effort to connect theory to practice. A practical takeaway was a clearer approach to choosing control strategies and tuning priorities, especially balancing stability versus responsiveness. That’s already been useful on an energy utilities project dealing with boiler feedwater control. Overall, it felt grounded in real engineering practice.

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