نمذجة عمليات و امثلية

MODULE DESCRIPTION FORM

نموذج وصف المادة الدراسية

Module Information معلومات المادة الدراسية
Module Title	Process Modeling and Optimization				Module Delivery
Module Type	Core				☒ Theory ☒ Lecture ☒ Lab ☐ Tutorial ☐ Practical ☐ Seminar
Module Code	GPPE309
ECTS Credits	4
SWL (hr/sem)	100
Module Leve		UGx11 3	Semester of Delivery				6
Administering Department		GPPE	College	COGE
Module Leader	Nuhad Abdulwahid		e-mail	E-mail
Module Leader’s Acad. Title		Lecturer	Module Leader’s Qualification				Ph.D.
Module Tutor	Name (if available)		e-mail	E-mail
Peer Reviewer Name		Name	e-mail	E-mail
Scientific Committee Approval Date		01/06/2023	Version Number			1.0

Relation with other Modules

العلاقة مع المواد الدراسية الأخرى

Prerequisite module

None

Semester

Co-requisites module

None

Semester

Module Aims, Learning Outcomes and Indicative Contents

أهداف المادة الدراسية ونتائج التعلم والمحتويات الإرشادية

Module Objectives

أهداف المادة الدراسية

Understand the fundamentals of process modeling in chemical engineering.
Familiarize with different types of models used in chemical engineering and their applications.
Recognize the importance of process modeling in process design, optimization, and control.
Learn the techniques for building process models using ordinary and partial differential equations.
Develop skills in solving differential equations using various methods, including Laplace and Fourier transforms.

Module Learning Outcomes

مخرجات التعلم للمادة الدراسية

Ability to explain the significance of process modeling in chemical engineering.
Proficiency in selecting appropriate modeling approaches for different applications.
Competence in building and solving process models using differential equations.
Understanding of the role of process modeling in process design, optimization, and control.
Proficiency in applying Laplace and Fourier transforms for solving process models.

Indicative Contents

المحتويات الإرشادية

Indicative content includes the following.

Introduction to Process Modeling: Overview of process modeling and its importance in chemical engineering. Types of models used in chemical engineering (e.g., empirical, mechanistic, phenomenological). Role of modeling in process design, optimization, and control. Model building; review or ordinary differential equations; Bessel functions; Laplace transforms; Sturm-Liouville systems; solution to partial differential equations by separation of variables, similarity solutions, and Laplace and Fourier transforms

Learning and Teaching Strategies

استراتيجيات التعلم والتعليم

Strategies

The main strategy that will be adopted in delivering this module is to encourage students’ participation in the exercises, while at the same time refining and expanding their critical thinking skills. This will be achieved through classes, interactive tutorials and by considering types of simple experiments involving some sampling activities that are interesting to the students.

Student Workload (SWL)

الحمل الدراسي للطالب محسوب لـ ١٥ اسبوعا

Structured SWL (h/sem)

الحمل الدراسي المنتظم للطالب خلال الفصل

Structured SWL (h/w)

الحمل الدراسي المنتظم للطالب أسبوعيا

Unstructured SWL (h/sem)

الحمل الدراسي غير المنتظم للطالب خلال الفصل

Unstructured SWL (h/w)

الحمل الدراسي غير المنتظم للطالب أسبوعيا

Total SWL (h/sem)

الحمل الدراسي الكلي للطالب خلال الفصل

150

Module Evaluation تقييم المادة الدراسية
As		Time/Number	Weight (Marks)	Week Due	Relevant Learning Outcome
Formative assessment	Quizzes	2	10% (10)	5 and 10	LO #1, #2 and #3
	Assignments	2	20% (20)	2 and 12	LO #3, #4 and #5
	Projects / Lab.	6	10% (10)	Continuous	All
	Report	1	10% (10)	13	LO #4,and #5
Summative assessment	Midterm Exam	1.5hr	10% (10)	7	LO #1 - #4
Summative assessment	Final Exam	2hr	50% (50)	16	All
Total assessment			100% (100 Marks)

Delivery Plan (Weekly Syllabus) المنهاج الاسبوعي النظري
Week	Material Covered
Week 1	Introduction to process modeling and its importance in chemical engineering.
Week 2	Types of models used in chemical engineering: empirical, mechanistic, phenomenological.
Week 3	Role of modeling in process design, optimization, and control.
Week 4	Fundamentals of ordinary differential equations for process modeling.
Week 5	Review of Bessel functions and their applications in process modeling.
Week 6	Laplace transforms and their use in solving process models.
Week 7	Sturm-Liouville systems and their applications in process modeling.
Week 8	Solution techniques for partial differential equations in process modeling.
Week 9	Separation of variables method in solving partial differential equations.
Week 10	Similarity solutions and their significance in process modeling.
Week 11	Application of Laplace transforms in solving partial differential equations.
Week 12	Application of Fourier transforms in process modeling.
Week 13	Case studies and project work in process modeling.
Week 14	Validation and verification of process models.
Week 15	Report preparation and presentation of process modeling projects.
Week 16	Preparatory week before the final Exam

Delivery Plan (Weekly Lab. Syllabus) المنهاج الاسبوعي للمختبر
Week	Material Covered
Week 1	Introduction to MATLAB for Process Modeling: Overview of MATLAB software and its applications in chemical process modeling and optimization.
Week 2	Mathematical Modeling of Chemical Processes: Developing mathematical models for chemical processes using ordinary differential equations (ODEs) and algebraic equations.
Week 3	Simulation of Chemical Processes: Implementing process models in MATLAB for simulation and obtaining numerical solutions.
Week 4	Parameter Estimation: Estimating unknown model parameters using optimization techniques in MATLAB.
Week 5	Sensitivity Analysis: Analyzing the sensitivity of process models to changes in input parameters using MATLAB.
Week 6	Dynamic Process Modeling: Modeling and simulating dynamic processes using MATLAB's ODE solvers.
Week 7	Model Validation and Verification: Validating process models by comparing simulation results with experimental data in MATLAB.
Week 8	Process Optimization: Introduction to process optimization concepts and techniques, including single-objective and multi-objective optimization.
Week 9	Optimization Algorithms: Implementing optimization algorithms in MATLAB for process optimization.
Week 10	Design of Experiments (DoE): Using MATLAB for designing experiments to gather data for process modeling and optimization.
Week 11	Surrogate Modeling: Creating surrogate models using MATLAB to approximate complex process models for optimization.
Week 12	Global Optimization: Exploring global optimization techniques in MATLAB for finding global optima of process models.
Week 13	Constraint Handling: Handling constraints in process optimization using MATLAB's optimization tools.
Week 14	Process Control Integration: Integrating process models and optimization algorithms with process control strategies in MATLAB.

Learning and Teaching Resources مصادر التعلم والتدريس
	Text	Available in the Library?
Required Texts	Title: "Process Modeling, Simulation, and Control for Chemical Engineers" Author: William L. Luyben Publisher: McGraw-Hill Education Year: 2017	No
Recommended Texts	Title: "Chemical Process Modeling and Computer Simulation" Author: Amiya K. Jana Publisher: John Wiley & Sons Year: 2019	No
Websites	https://books.google.iq/books/about/CHEMICAL_PROCESS_MODELLING_AND_COMPUTER.html?id=osVGDwAAQBAJ&redir_esc=y

Grading Scheme مخطط الدرجات
Group	Grade	التقدير	Marks %	Definition
Success Group (50 - 100)	A - Excellent	امتياز	90 - 100	Outstanding Performance
	B - Very Good	جيد جدا	80 - 89	Above average with some errors
	C - Good	جيد	70 - 79	Sound work with notable errors
	D - Satisfactory	متوسط	60 - 69	Fair but with major shortcomings
	E - Sufficient	مقبول	50 - 59	Work meets minimum criteria
Fail Group (0 – 49)	FX – Fail	راسب (قيد المعالجة)	(45-49)	More work required but credit awarded
Fail Group (0 – 49)	F – Fail	راسب	(0-44)	Considerable amount of work required

Note: Marks Decimal places above or below 0.5 will be rounded to the higher or lower full mark (for example a mark of 54.5 will be rounded to 55, whereas a mark of 54.4 will be rounded to 54. The University has a policy NOT to condone "near-pass fails" so the only adjustment to marks awarded by the original marker(s) will be the automatic rounding outlined above.

نمذجة عمليات و امثلية

Process Modeling and Optimization

Core

GPPE309

4

100