Gujarat Technological UniversitySummer 2025 examination

GTU 2180503 Process modeling, simulation & optimization Summer 2025 Question Paper & PDF

B.E. · Chemical Engineering · Semester 8 · Subject code 2180503
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Total
70 marks
To pass
23 marks (33%)
Duration
2.5 Hours 10:30 PM – 1:00 PM
Questions
5 with internal choice
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Q.1

14 Marks
(a)
3 marks

Explain the meaning of following terms for optimization: Feasible solution, feasible region, and over determined model.

(b)
4 marks
List the structural components of general purpose sequential modular program.
(c)
7 marks

Consider a batch reactor in which the following first-order consecutive reactions are carried out. Reactant A is charged into the vessel. Steam is fed into the jacket to bring the reaction mass up to a desired temperature. Then cooling water must be added to the jacket to remove the exothermic heat of reaction and to make the reactor temperature follow the prescribed temperature-time curve. This temperature profile is fed into the temperature controller as a set-point signal. Derive the temperature profiles for the process and metal wall for the batch reactor described above.

Q.2

14 Marks
(a)
3 marks
Explain the uses of mathematical models.
(b)
4 marks
Differentiate between equation-oriented model and modular based model.
(c)
7 marks
Discuss the fitting of VLE data by non-linear regression.
(c)
7 marks

Determine an objective function to minimize total cost with respect to the working fluid temperature in optimizing recovery of waste heat.

Q.3

14 Marks
(a)
3 marks
Write a note on the transport equations used for modeling.
(b)
4 marks

Derive the equations for the series of isothermal, constant holdup CSTRs. List all the assumptions with their justifications.

(c)
7 marks
The analysis of labor costs involved in the fabrication of heat exchangers can be
used to predict the cost of a new exchanger of the same class. Let the cost be
expressed as a linear equation.
C = β1 + β2A + β3N
Where β1, β2, and β3 are constants, N=number of tubes, A=shell surface area.
Estimate the values of the constants β1, β2 and β3 from the data in following
table.
Labor cost ($) 310 300 275 250 220 200 190 150 140 100
Area (A) 120 130 108 110 84 90 80 55 64 50
Number of tubes
(N) 550 600 520 420 400 300 230 120 190 100 k k1 2 A B C ⎯⎯→ ⎯⎯→
(a)
3 marks
Compare lumped parameter model and distributed parameter model.
(b)
4 marks

Mention the conditions to be satisfied for extremum of function of single variable and find extremum for 𝑓(𝑥) = 𝑥⁴.

(c)
7 marks
An irreversible, exothermic reactionk
A B ⎯⎯ → is carried out in a single
perfectly mixed CSTR as shown in figure.
The reaction is nth-order in reactant A and has a heat of reaction λ (Btu/lbmol of
A reacted). Negligible heat losses and constant densities are assumed. To
remove the heat of reaction, a cooling jacket surrounds the reactor. Cooling
water is added to the jacket at a volumetric flow rate FJ, and with an inlet
temperature of TJo. The volume of water in the jacket VJ is constant. The mass
of the metal walls is assumed negligible, so the thermal inertia of the metal need
not be considered. Derive the model equations with the assumption of a perfectly
mixed cooling jacket.
GTU Process modeling, simulation & optimization (2180503) Summer 2025 Question 3 OR (c) Diagram

Q.4

14 Marks
(a)
3 marks

Construct the region formed by the following constraints and determine the convexity: 𝑥1 ≤ 6; 𝑥2 ≤ 6; 𝑥1 ≥ 0; 𝑥1 + 𝑥2 ≤ 6; 𝑥2 ≥ 0

(b)
4 marks

Explain the algorithm of steepest descent method for unconstrained multivariable optimization problem.

(c)
7 marks

Minimize 𝑓(𝑥) = 𝑥⁴ − 𝑥 + 1 using Newton’s method for a starting point of 𝑥 = 0.6 (Show 3 iterations, use four decimal point accuracy).

(a)
3 marks
Explain black-box model in brief.
(b)
4 marks

Explain random search and grid search method for unconstrained multivariable optimization.

(c)
7 marks

A refinery has available two crude oils that have the yields shown in the following table. Because of equipment and storage limitations, production of gasoline, kerosene, and fuel oil must be limited as also shown in this table. There are no plant limitations on the production of other products such as gas oils. The profit on processing crude #1 is . 1.00/bbl and on crude #2 it is. 0.70/bbl. Find the approximate optimum daily feed rates of the two crudes to this plant via a graphical method. Volume % Yields Maximum allowable Product rate (bbl/day) Crude #1 Crude #2 Gasoline 70 31 6,000 Kerosene 6 9 2,400 Fuel Oil 24 60 12,000

Q.5

14 Marks
(a)
3 marks

Minimize the quadratic function 𝑥² − 2 = 0 by secant method. Use the range of

  • 3 to +3.
(b)
4 marks

Solve the following non-linear function with constraints using Lagrange multiplier method: Minimize:𝑓(x,y)=k𝑥−1 𝑦−2 Subject to: 𝑔(𝑥, 𝑦) = 𝑥² + 𝑦² = 𝑎2

(c)
7 marks
Determine convexity or concavity for the following functions.
i)𝑓(𝑥) = 2𝑥1 + 3𝑥2 +6 Marks
ii)𝑓(𝑥) = 2𝑥1 2 + 3𝑥1𝑥² − 2𝑥2 + 15
iii)𝑓(𝑥) = 2𝑥1 2 + 2𝑥1𝑥2 + 1.5𝑥2 2 + 7𝑥1 + 8𝑥2 + 24
(a)
3 marks
Describe in detail the principles of formulation of mathematical models.
(b)
4 marks

List various professional simulation packages available and explain features of any one briefly.

(c)
7 marks

What is Optimization? List the six general steps for the analysis and solution of optimization problems.

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Official Gujarat Technological University (GTU) examination paper for Process modeling, simulation & optimization (Summer 2025, B.E. · Chemical Engineering, Sem 8). Features complete 70-mark regular & remedial examination pattern, official marking distribution across all 5 questions, and direct 1-click official PDF download.

Transcribed for student exam preparation from Gujarat Technological University official examination archives. Questions, syllabus guidelines, and curriculum marking schemes remain the intellectual property of Gujarat Technological University.

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