Smart Energy Systems Engineering

Powering the Future of Clean and Intelligent Energy

As the global energy landscape shifts toward sustainability, digital solutions and smart infrastructures are redefining how power is generated, delivered, and managed. Nile University’s Smart Energy Systems Engineering program equips students with the engineering expertise to lead this transformation — blending core power engineering fundamentals with cutting-edge technologies and intelligent system design.

This program prepares you to build, optimize, and manage energy systems that are efficient, reliable, and environmentally responsible. You’ll gain both theoretical depth and practical experience to meet the evolving demands of renewable energy integration, smart grids, and digital control systems.

Students in Smart Energy Systems Engineering will develop knowledge and skills in:

Renewable energy technologies — solar, wind, bioenergy, and more
Smart grids and energy distribution systems
Energy efficiency analysis and system optimization
Digital control and automation for energy applications
Modeling, simulation, and intelligent energy management tools

Through a combination of project-based work, laboratory experience, and real-life case studies, you’ll learn how to engineer energy solutions that are economically viable, technically sound, and environmentally sustainable.

Energy systems around the world are undergoing rapid change — driven by climate goals, technological innovation, and rising demand for digital–energy solutions. Today’s energy professionals need more than foundational knowledge; they require the ability to integrate technologies, optimize complex systems, and shape policy-relevant decisions.

Smart Energy Systems Engineering at Nile University bridges this gap by combining:

Engineering fundamentals with future-ready technologies
Sustainability and clean energy planning
Digital analytics and intelligent system design
Hands-on learning with real energy data and tools

Graduates of this program are prepared for exciting and meaningful roles in the energy sector and beyond, including:

Renewable Energy Engineer
Smart Grid and Systems Analyst
Energy Efficiency Consultant
Power Systems Designer
Energy Project Manager
Digital Energy Solutions Specialist
Sustainability and Infrastructure Coordinator

These careers span industries such as utilities, consulting, manufacturing, infrastructure planning, government, and international development — wherever smart, sustainable energy solutions are needed most.

Our graduates are:

Skilled in analyzing, designing, and optimizing modern energy systems
Fluent in renewable technologies and smart grid applications
Equipped with advanced tools for intelligent energy management
Prepared for careers that shape a more efficient, resilient, and sustainable energy future

Curriculum

Program Courses

Introduction to computers and information skills to enable efficient use of computers and to prepare student for lifelong learning in information technology, Basic understanding of operating-systems, hardware, networks, software applications, Basic understanding of system development, and social implications of information technology, Introduction to standard office software applications for information formatting and web-page design, and database management through a series of assignments and projects

Introduction to the process of writing through reading, integrated approach to teaching the skills of thinking, reading and writing that first-year students need in order to succeed in their academic work Independent thinking by showing them how to organize information, interpret different perspectives, solve challenging problems, analyze complex issues and communicate ideas clearly by drawing heavily on exciting topics to stimulate the interests, thinking and writing critically.

Building more formal, academic discourse, focusing on writing meaningful essays and developing their skills, through observation, analysis, critical reading and thinking, arts of style, organization and thoughtful content as well as sharpening the skills of logical reasoning and problem analysis through the development of reading comprehension strategies for informative and expository texts with focus on summarizing, analyzing and synthesizing textual material, examining selected readings and stylistic strategies as a means of developing effective argument-based writing.

Development and use of research, critical analysis, organization and revision within the writing process, methods of documentation in library and online research, using quotations and source citations for professional papers using inductive and deductive reasoning, developing the skills of scientific argumentation, persuasion, evaluation and criticism needed for a research paper, one minor and one major project during the term as well as a series of short response essays.

The ability to communicate effectively using the written and spoken, learn and practice the skills of interpersonal and professional communication, improving skills in oratory and public presentations by introducing writing professional documents, including technical/scientific reports, business letters, faxes, resumes, etc. Report writing process by practicing techniques of writing a well-structured report as well as delivering a well-structured presentation in a formal setting, inter-personal and professional communication with special consideration given to the cultural and linguistic aspects, human perceptions, interpersonal dynamics, the art of listening and convincing, verbal and visual symbols.

Overview of the main engineering disciplines thus helping them make the right choice regarding the future careers, history and the concepts of the main engineering disciplines, and mini projects those are relevant to these engineering disciplines.

Introduction to the history and context of cities and urbanization, building types used in world architecture spanning history of engineering, art and science of monuments from pre-history up until the Greco-Roman times, knowledge of significant structures and buildings in this period, built environment and the socio-cultural dimensions that shape cities, the roles of architecture, urban design and urban planning in shaping the city, terms that help read the city, tools applied to shape the city, challenges and opportunities of cities, urban metrics, trends, and issues associated to urbanization.

Energy Sources and Technologies: An overview of different energy sources and technologies, including fossil fuels, renewable energy sources (such as solar, wind, hydroelectric, and geothermal), nuclear energy, and emerging technologies. Introduction to Environmental Engineering: An overview of the role of environmental engineering in addressing environmental challenges, including pollution control, water and wastewater treatment, air quality management, solid waste management, and environmental remediation.

Introduction to the entrepreneurial activity, Survival and growth of small and medium enterprises (SMEs), the managerial aspects of SMEs compared to large firms, the benefits and drawbacks of being an entrepreneur, developmental structures and designs, focus development, management during fast growth periods, lack of resources and financing, development of sustainable intangible resources (legitimacy, status, reputation, etc.), ownership, governance and management, succession planning, generational gaps, delegation and control and the role of non-family members, and challenges faced by family businesses.

This course is an elective course in one of these tracks. - (HUM111) In Critical Thinking and Ethics, developing a broad understanding of logical and critical thinking method; linking between science and society in daily lives, such as studying the characteristics of the method of scientific inquiry and to give an overview of the role of scientific communities, applicable method for helping to develop a reliable persuasive method, ethical issues and problems that arise in professional and business environments, such as integrity, civic responsibility, ethical conduct and misconduct, employee and corporate rights and responsibilities, and on issues concerning social and economic justice in a global economy. - (HUM112) A course in any of the fields of Literature, Philosophy, Art, Music, or Sports. - (HUM113) A course in any of the fields of sociology, economics, education, history, anthropology, psychology, or geography.

Introduction to modern programming design techniques using C and C++. A study of basic programming constructs, techniques, and fundamental control structures, Object-Oriented and modular programming, data types, functions, arrays, and pointers, problem analysis, decomposition, and modern programming paradigms and methodologies.

Geometric construction, sketching, orthographic projection, sectional drawing and geometric dimensioning, technical mechanical, architectural drawing and steel elements for structures, manual and computer-aided means of communication (manual drawing and AutoCAD) assemblies.

Concepts and theorems of differential calculus, elementary functions with emphasis on trigonometric, hyperbolic functions and their inverses, techniques of differentiation, limits, L'Hôpital's rule and indeterminate forms, the basic concepts of plane analytic geometry particularly conic sections, introduction to three-dimensional coordinate geometry and different coordinate systems, and introduction to functions of several variables and their partial derivatives, sequences, infinite series, convergence and divergence test for series, and power series expansion

Techniques of integration, definite and indefinite integrals, improper integrals, multiple integrals, applications of integration (finding the length of a plane curve, planar areas, areas of surfaces of revolution and volumes of revolution). Functions of complex variables and their derivatives, Complex integrals, Cauchy integral theorems.

Definition of statistical experiments, sample space, events, operations on events, combinatorial analysis (permutations, combinations and counting rules), definition of the probability, probability axioms, conditional probability, independence of events and Bayes theorem, definition of the random variable, discrete and continuous random variables, discrete probability distributions (binomial distribution, Poisson distribution, geometric distribution, hypergeometric distribution), continuous probability distributions (uniform distribution, normal distribution and exponential distribution), introduction and overview of statistics, data description using measures of central tendency, measures of dispersion, measures of position, sampling distribution, central limit theorem, interval estimation, confidence interval, and hypothesis testing.

Finding the solutions of linear systems of equations by different methods, the concepts of matrices, vector spaces, inner product spaces, linear transformation, and orthogonality, the matrix function, the diagonalization process, eigenvalue problem, and modelling of different engineering applications related to machine learning.

Finding the solutions of ordinary differential equations (ODEs) by different ways using analytical techniques for linear first order and higher order ODEs and their simulations, time-frequency transformation, Laplace transform, Fourier transform, modelling of different dynamical engineering applications.

Fundamentals of mechanics, concept of equilibrium, free body diagrams, equations of equilibrium, different types of supports, reactions, forces in space, equivalent force-couple systems, 3D equilibrium of rigid bodies, Centroids, Second moment of area (moment of inertia), Analysis of simple trusses, method of joints, method of sectioning, kinematics of particles, planar rectilinear, curvilinear motion in Cartesians-coordinates, relative motions, Tangential-normal, radial-transverse components of acceleration, Kinetics of particles, Newton's second law of motion, Angular momentum, Principle of work and kinetic energy, conservation of energy .

Basic Dimensions, dimensional analysis, elasticity, tensile stress, shear stress, bulk stress, fluid Statics, hydrostatic pressure, Pascal's principle, Archimedes' principle, dynamics of ideal fluids, continuity equation, Bernoulli's equation, viscosity, oscillatory motion, simple harmonic motion, spring-mass system, planar, cylindrical, and spherical waves, wave propagation, sound waves, the nature of heat, the laws of thermodynamics, thermal expansion, kinetic theory of gases, ideal gases, molar specific heat, degrees of freedom, reversible and irreversible processes, thermal cycles, thermal engines and heat pumps

Electrostatics, electric charge, Coulomb's law, insulators and conductors, electrostatic field, electric flux, Gauss' law, electric potential, electrostatic potential energy, dielectrics and capacitances, electromotive force, electric current, resistance, Ohm's law, electric power, direct current circuits, Kirchhoff's laws, mesh analysis, magnetism, magnetic forces, sources of magnetic fields, Bio- Savart law, Ampere's law, induction, Faraday's law, Lenz's law, optics, wave nature of light, reflection and refraction, interference, diffraction.

Wastewater treatment, Solid waste management, Chemical Reactions, Stoichiometry, Chemical reaction balancing, determining limiting reactant and percentage excess of the other reactants, Degree of conversion, finding the number of moles in the product stream, Combustion Reactions, Thermochemistry, Hess law, Chemical kinetics, Electrochemistry, Nernst equation, Energy Balance

Designing and verifying modern digital systems, Boolean algebra, Digital number systems and computer arithmetic, combinational and sequential logic design and optimization, Register-transfer design, Basic processor organization, Instruction set issues, Levels of abstraction and hardware description language methods, Computer-aided digital design software.

Electrical Circuits variables and elements, Simple resistive circuits, Analysis of electrical circuits, ohm's law, Kirchhoff's laws, series parallel equivalent, star delta transformation, source transformation, Network theorems: Mesh current method, Nodal voltage method, Thevenin's equivalent, Norton's equivalent, superposition principles. Sinusoidal steady state analysis, Phasor diagram representation, Applications of network theorems on alternating current circuits, Electric power in alternating current circuits, complex power calculations, power factor, circuits with nonlinear resistances, Transients in electrical circuits.

Propositional Logic (logical operators, truth table, propositional equivalences, Translation), Predicate logic (quantification, nested quantifiers, equivalences, translation Inference rules), proofs (direct, by contraposition, by contradiction by cases), Set theory (set builder notation, subset, Cartesian product, power set, set identities), Functions (types, inverse, composition, ceil and floor functions), Sequence and Summation, Matrices (Introduction, matrix arithmetic, matrix multiplication, transpose, powers of matrices, zero one matrices), Integers (integers, division, division algorithm, modular arithmetic, primes, GCD, LCM), Mathematical Induction, Relations (properties, combining relations, representation, equivalence relation)

Formal techniques for the design and analysis of algorithms, Mathematical theory and practical considerations of efficiency, Fundamental concepts of data structures and algorithms for representing and processing information; Linked lists, stacks, queues, directed graphs and trees, Analysis of algorithms, sorting, searching and hashing techniques, Mathematics foundation, Divided-and-conquer, Dynamic programming, Greedy method, NP-completeness complexity, Approximation algorithms, randomized algorithms, and backtracking algorithms, Advanced data structures including: Binary trees, Heaps, Priority Queues, and Huffman Coding Trees.

Principles of Data Science, Basic tool and techniques of data handling, exploratory data analysis, data visualization, data-based inference, and data-focused communication, Fundamentals of Artificial Intelligence -- State space representation, uninformed search, and reinforcement learning, Data-driven decisions in their field of study, Applications related to Big Data, Neural Networks and Deep Learning, Computational techniques using Python.

Various building blocks and principles behind embedded real- time systems, Integrated hardware and software aspects of embedded processor architectures, along, Real-time, resource/device and memory management, Interaction with devices (buses, memory architectures, memory management, device drivers), Concurrency (software and hardware interrupts, timers), Real-time principles (multi-tasking, scheduling, synchronization), Implementation trade-oﬀs, Profiling and code optimization (for performance and memory), Embedded software (exception handling, loading, mode-switching, programming embedded systems), Skills in the design/implementation/debugging of core embedded real-time functionality.

Data models and database design, Modeling the real world: structures, constraints, and operations, the entity relationship to data modeling (including network hierarchical and object- oriented), Relational model, Tables Normalization, Structured Query Language, Use of existing database systems for the implementation of information systems.

Big Data framework using Hadoop and Spark, principles of HDFS, YARN, MapReduce, HBase, A distributed column-oriented database, Real-time data processing using Spark, Understanding parallel processing in Spark, and using Spark RDD optimization techniques and SparkML, Using Pig and Hive to process and analyze large datasets stored in the HDFS and to use Sqoop and Flume for data ingestion.

Fundamentals of artificial intelligence (AI), Statistics, Uncertainty, Bayes networks, Problem-solving, Knowledge, Reasoning, Planning, Natural language, Understanding, robotics, and robot motion planning, Programming using AI language tools.

Introduction to machine learning, Statistical pattern recognition, Supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines), Unsupervised learning (clustering, dimensionality reduction, kernel methods), Learning theory (bias/variance trade-offs, practical advice), Reinforcement learning and adaptive control, Recent machine learning applications, such as robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing.

Comprehensive understanding of ethical considerations and responsibilities in the practice of engineering, ethical principles, dilemmas, and decision-making frameworks relevant to engineers and their role in society, Ethical theories and frameworks, Professional codes of ethics, Ethical considerations in engineering design, Ethical responsibilities in research and innovation, Professional responsibility and social justice.

Understanding of the legal frameworks, regulations, and policies governing environmental engineering practice, Intersection of engineering, law, and environmental policy, focusing on promoting sustainability, protecting public health, and ensuring compliance with environmental regulations, Introduction to environmental law and policy, Clean Air Act and air quality regulations, Clean Water Act and water quality regulations, Hazardous waste management and remediation, Environmental impact assessment, Renewable energy policies and incentives, Climate change law and adaptation strategies, Case studies and regulatory analysis

Principles, methodologies, and techniques to effectively plan, execute, and manage engineering projects, Real-world applications in engineering practice, Introduction to project management, Project initiation and planning, Project allocation, implementation and control, Scheduling and estimating, Developing approval process, including testing for alternatives; Project communication and teamwork, Project risk management, Resources selection, Post project evaluation, Project procurement and contracts, Project closure and lessons learned, Project management tools and software, Project Management Book of Knowledge (PMBOK), PERT, CPM.

Fundamentals of fluid statics and dynamics, Conservation of mass, momentum, and energy in fixed and moving control volumes, Steady and unsteady Bernoulli's equation, Differential analysis of fluid flow, Dimensional analysis, and similitude, Laminar and turbulent flow, Boundary layers, Modeling different dynamic engineering applications based on the mathematical background.

Fundamental principles and techniques in deep and reinforcement learning, Convolutional neural networks, Recurrent and recursive neural networks, Backpropagation algorithms, Regularization and optimization techniques for training such networks, Dynamic programming, Monte Carlo, and temporal difference, Function approximation reinforcement learning algorithms, Applications of deep and reinforcement learning, Active research topics in deep and reinforcement learning areas.

Reflects current trends and emerging technologies in data engineering

Numerical methods used for solving linear algebraic equations and differential equations, numerical methods for performing differentiation, integration, and curve fitting, properties of some special functions.

Optimization problem formulation and terminology; Objective function; constraints; optimization variable; constrained and unconstrained optimization. Solution techniques using gradient based methods, penalty techniques are discussed. Formulation and solution of linear programming, non-linear programming. Algorithms are implemented in computer programs for problem solution.

Joint and conditional probabilities, correlation, independence, linear combinations of random variables. Essential statistical techniques: descriptive statistics, sampling distributions, data analysis, and parameter estimation, Central limit theorem, t-distribution, point estimates and confidence intervals of population mean and variance, and hypothesis testing will be explored in detail, linear regression, multiple linear regression, analysis of variance (ANOVA), modeling of complex engineering data, real-world engineering examples

Basics concepts of thermodynamics, conversion of heat to mechanical work, Properties of pure substance, 1^st^ law of thermodynamics for open and closed systems, 2^nd^ law of thermodynamics, entropy and entropy change. Introduction to the concept of heat transfer, Conduction heat transfer, steady state heat conduction, transient heat conduction, conduction in fins. Conduction with melting/solidification, introduction to convection, forced and free convection.

Basic semiconductor concepts: energy bandgap, E-K diagram, intrinsic/extrinsic semiconductors, doping, carriers, drift/diffusion currents, and PN junction behavior. Devices: diodes, BJTs, JFETs, MOSFETs. Circuits: biasing, small signal analysis, amplifiers, Op-amps, feedback

Vector analysis, Coulomb's law, Electric field intensity, Electric flux, Gauss's law, Divergence, Electric energy and potential, Electric conductors, Electrical resistance, Dielectric materials, Electrical capacitance, Poisson's equation, Laplace's equation. Steady magnetic fields, Ampere's law, Magnetic forces, Magnetic materials, Magnetic circuits, Inductance. Time varying magnetic fields, Maxwell's equations.

Focuses on applying power electronics to modern energy systems, covering power semiconductor devices, converters, and renewable energy integration. It includes energy storage systems, grid interfacing, smart grids, and control of inverters and rectifiers. Practical applications in microgrids, electric vehicles, and HVDC systems are explored, emphasizing sustainable and energy-efficient solutions.

Introduction to electric power system, Application of high voltage in electric power system, Overhead transmission lines: Parameter calculation, Modeling, Performance, Mechanical design, Electric power distribution, Underground cables, Determination of faults in underground cables, Design of electrical distribution systems, Insulated electrical cables, Generation of high voltage, High-voltage measurement, Electric insulation types, Corona, Earthing and safety, Introduction to power system planning

Classification of signals, Basic operations on signals, Systems and their properties and relation with impulse response, Linear Time- Invariant (LTI) systems, Convolution integral and convolution sum, Fourier Analysis: Continuous-time Fourier series (CTFS), continuous-time Fourier transform (CTFT), discrete-time Fourier series (DTFS), discrete-time Fourier transform (DTFT), Applications. Introduction to communication systems. Basic concepts of communication. Analog modulation techniques: AM (SSB, DSB-SC), FM, and PM. Multiplexing techniques: TDM and FDM. Nyquist theorem, digital modulation techniques: ASK, applications.

Electromagnetic field basics in electromechanical devices, transformer action (Faraday's law), motor action, and generator action. It covers DC machines (construction, operation, efficiency, and types of motors and generators), transformers (single and three-phase operation, efficiency, and connections), and AC machines (synchronous and induction motors, construction, and equivalent circuits, special machines and foundational principles for diverse applications in electrical systems.

Introduction to control systems: terms, concepts and examples, frequency and time-domain analysis, block diagram, representations of control system, feedback and its effects, disturbance and sensitivity analysis, steady-state error analysis, time domain analysis, stability analysis, root locus analysis, Tuning of PID controller, state space representation. Applications in electric power systems.

Solar Radiation, Solar Intensity calculation on Earth, Availability/ Usability of Solar Energy, Measuring Solar Intensity, Direct/Diffuse Radiation, Ground reflection, Solar Angles, Shades, Time Equation, Incidence Angle on Horizontal and Inclined Surfaces, Flat Plate Collector theory, Glass Transmission, Heat Loss Calculations, Collector Performance, Solar Energy Concentrators, Point and Line Concentrators, Cylindrical Trough, Parabolic Trough, Parabolic Dish, Central Receiver, Heliostat, Heliostat Optimum Placement, Sun Beam Tracking, Shadowing/Blocking, Concentration Ratios, Fresnel Lens, Thermal performance, Heat Transfer Coefficients, Receiver Efficiency.

Introduction to Wind Energy, Wind Speed Classification, Wind Data and Wind Rose, Statistical Analysis of Wind Data, Types of Wind Turbines, Instrumentations Used for Operating Wind Data, Construction Details of a Wind Turbine, Wind Turbine Control Schemes, Estimation of Wind Power, Betz' Theorem, Blade Element Theory, Translating Wind Power Machines, Horizontal-Axis Wind Turbines, Wind Energy for Water Pumping. Water Turbines: Theory, Impulse Turbines, Reaction Turbines, Application, Construction, Components, Cavitation, Energy Calculation and Performance. Hydro-Electric Plants.

Practical applications and an understanding of theories, which are related to typical topics in the areas of Power Electronics and Electric Machines, Line Commutated Converter and self-commutation static converters, Converter drives with dc motors by using of thyristors and diodes modules, drives with three-phase asynchronous motor for frequency converter, Converter drives with dc motors by using of IGBT

Fundamentals of energy storage, basic principles of enthalpy and entropy, and chemistry, different electrochemical storage platforms, thermal energy storage, evaluation of the working of heat pumps, various bioenergy platforms, efficiency of conversions to different fuels, hydrogen value chain, other storage alternatives relating to pumped and mechanical storage and superconductors, system integration from a sustainability perspective.

State-of-the-art technology for smarter use of social and environmental resources enhancing the cities competitiveness, livability, sustainability, innovation and inclusiveness, Topics and trends in sustainable and smart cities and connected communities, Role of information in the design of network resources and impact on urban design, development and urban living, A group project comparing many cities across the world in various dimensions with rating of smartness.

Energy and climate landscape, project economics, energy sources and technologies, energy demand, environmental and health impacts, power system analysis, energy transition strategies, energy efficiency, sustainable consumption, climate justice, big data and AI for climate change, Model limitations. Emerging topics relevant to energy systems, carbon neutrality, comprehensive understanding energy and climate policy essentials, energy transition landscape, policy frameworks and analytic tools to achieve the energy transition.

Concept of sustainable development for cities and urban regions, variety of contemporary urban planning issues through the sustainability lens, Ways to coordinate goals of environment, economy, and equity at different scales of planning, including the region, the city, the neighborhood, and the site.

Reflects current trends and emerging technologies in sustainability

A minimum of three weeks of practical training in off-campus sites is selected by the program. Course is a Pass/Fail course.

A minimum of three weeks of practical training in off-campus sites elected by the program. Course is a Pass/Fail course.

DC amplifiers, Darlington Emitter Follower, regulated power Supplies, principles of operation and characteristics of SCR, triggering of thyristors, commutation techniques of thyristors, Fundamentals of electric drives, separately excited dc motor drives using controlled rectifiers, chopper-controlled dc drives, ac voltage controllers, three phase induction motor speed control, VSI and CSI fed induction motor drives, synchronous motor drives. This will help students to be able to select a drive for a particular application.

Nuclear Power Introduction and Reactor Physics Review, Engineering design of nuclear power plants, light-water reactor technology, thermal limits in nuclear fuels, thermal-hydraulic behavior of the coolant, nuclear safety and dynamic response of nuclear power plants.

Electric Energy Demand. Electric Energy Sources- Power Plant Economics- Selection of Plant Location and Size- Gas Turbine, Thermal, Hydro-Electric and Nuclear Power Stations- Economic Operation of Steam Plants- Thermal Coordination- Major Electrical Equipment in Power Plants.

Characterization of Waste, Types of Biomass, Biomass Properties, Pre-Treatment of Biomass, Thermo-Chemical Processes, Fast and Slow Pyrolysis, Gasification, Transesterification, Design of Gasifiers, Drying and Devolatilization, Heat and Mass Transfer across Small and Large Biomass Particles, Combustion, Chemical Kinetics, Types of Reactors, Incinerators, Bio-Chemical Conversion, Anaerobic Digestion and Fermentation, Operation of Biomass Boilers and Stoves, Use of Bio-Fuels in Internal Combustion Engines and Gas Turbines, Emissions, Cost Considerations

Reflects current trends and emerging technologies in energy engineering

Practical applications and an understanding of theories, which are related to typical topics in the areas of Energy engineering, Solar, Wind and Hybrid energy systems

Load curves, Variation in demand, Load diversity. Power plant layout, Main equipment, Auxiliaries, Bus-bar arrangements. Power plant economics: Capital cost, Operating cost, Fixed charge rate, Selection of plant and size and unit size, Operation and economics of spinning reserve, economic analysis of a transmission system, tariffs, power factor, all-thermal generation allocation problem, hydro-thermal coordination, new energy resources. Transmission access fees assessment and calculations

Fundamental knowledge of green hydrogen: Liquid and compressed hydrogen, Hydrogen production, Hydrogen storage and conversion, Hydrogen Safety, Hydrogen for mobility applications & vehicles, Hybrid Energy Systems, Future of Hydrogen.

Electric vehicles: configurations, performance, energy consumption. Hybrid electric vehicles: architectures of drivetrains, series and parallel designs. Electric propulsion systems. Power sources and energy storage. Regenerative braking. Fuel cells: operation principles, hybrid electric drivetrain.

Smart grids; Intelligent Distribution Networks; Renewable Energy; Distributed Generation; DG Integration; Solar; Wind; Energy Storage Technologies; Demand Side Management; Load Management; Conservation Voltage Reduction; Demand Pricing; Time of Use; Real/Peak Time Pricing; FDIR; Reactive Power Optimization; Volt-Var Optimization; Distribution Automation; Advanced Asset Management; Electric Vehicles; Smart Meters; Advanced Measuring Infrastructure; Distribution Management Systems; Smart Grid ICT; Common Information Model; Cyber-Security; Wide Area Measurement Systems; Smart Grid Communications; SCADA; SG costs; Markets; Ancillary Markets; Substation Automation; standards.

Per unit systems, Symmetrical Components theory, short circuit current characteristics, Symmetrical and unsymmetrical shunt and series faults, Power flow studies and analysis, P-d curve of power system, Stability study using equal area criterion, Computer programs.

Application-oriented capstone project to show competence in major academic area, where an independent research project is conducted under the guidance of a school member in the program. The research should contribute to the advancement of knowledge in the field. A written report and formal presentation are required

Application-oriented project to show competence in the major academic area, an independent design/management project is conducted under the guidance of a school member in the program. The design/management project should contribute to the advancement of knowledge in the field by utilizing computer software such as finite element packages for structural analysis and Primavera project planner for construction management. Professional drawings, calculation sheets, written report, and formal presentation are required depending on the project nature.