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Faculty of Renewable Energy Engineering

 :Faculty of Renewable Energy Engineering

:Definition of the Faculty

The Faculty of Renewable Energy Engineering is dedicated to preparing engineers and researchers capable of designing, analyzing, operating, and developing modern and sustainable energy systems. It integrates the traditional foundations of electrical, mechanical, and thermal engineering with cutting-edge technologies in artificial intelligence, data analytics, smart grids, energy storage, the Internet of Things (IoT), and digital twin systems.

The Faculty adopts a multidisciplinary educational model that views renewable energy as an integrated engineering system encompassing:

  • Energy Generation

  • Energy Conversion

  • Energy Storage

  • Power Electronics

  • Electrical Power Systems

  • Smart Grids

  • Energy Efficiency

  • Control and Automation

  • Data Analytics

  • Artificial Intelligence

  • Green Hydrogen

  • Energy Management

  • Energy Economics and Markets

  • Sustainability and Environmental Impact

  • Digital Transformation of Energy Systems

:Faculty Vision

To become a distinguished academic and research center in the education, research, and development of clean energy technologies and intelligent systems, and to contribute to preparing engineers and researchers capable of leading the transition toward more efficient, flexible, and sustainable energy systems.

:Faculty Mission

To provide a modern engineering education that combines deep scientific knowledge with practical application, research, and innovation, and to produce graduates equipped with the engineering, digital, and analytical skills necessary to design and manage renewable and smart energy systems, while supporting scientific research, industrial collaboration, and community service.

:Strategic Objectives

The Faculty aims to:

  1. Provide a modern Bachelor's program in Renewable Energy Engineering following a four-year system.

  2. Deliver a strong foundation in mathematics, physics, and basic engineering sciences.

  3. Achieve integration between electrical, mechanical, thermal, and energy engineering.

  4. Integrate programming, data science, and artificial intelligence into the core of energy engineering education.

  5. Train students in the latest engineering modeling and simulation tools.

  6. Develop students' capabilities in engineering design and complex problem-solving.

  7. Enhance laboratories, applied projects, and industrial training.

  8. Advance scientific research in renewable energy, smart grids, energy storage, and hydrogen.

  9. Develop applications of artificial intelligence and digital twins in the energy sector.

  10. Support collaboration between the Faculty of Renewable Energy Engineering and the Faculty of Computer Science and Artificial Intelligence.

  11. Graduate engineers capable of working in local and international markets.

  12. Align education with the needs of electricity companies, energy corporations, and industry.

  13. Promote a culture of sustainability, environmental responsibility, and engineering ethics.

  14. Support innovation and entrepreneurship in clean technology.

Proposed Academic Structure

The Faculty comprises:
First: Department of Renewable Energy Engineering
Offering the program:
Bachelor of Science in Renewable Energy Engineering

Second: Department of Graduate Studies

Offering the following programs:

  1. Master of Science in Renewable Energy Engineering

  2. Master of Science in Sustainable Energy Systems and Smart Grids

  3. Doctor of Philosophy (PhD) in Renewable Energy Engineering

Supporting Academic Units

The academic programs are supported by several units, including:

  • Applied Energy and Laboratories Unit

  • Scientific Research and Innovation Unit

  • Training and Industrial Relations Unit

  • Quality and Academic Development Unit

  • Simulation and Artificial Intelligence for Energy Unit

Academic Degrees

 
 
Program Typical Duration Credit Hours
Bachelor of Science in Renewable Energy Engineering 4 Years 128
Master of Science in Renewable Energy Engineering 1.5–2 Years 30
Master of Science in Sustainable Energy Systems and Smart Grids 1.5–2 Years 30
Doctor of Philosophy (PhD) in Renewable Energy Engineering 3–5 Years 36 (post-Master's)

 

 

Quality Assurance

Programs must undergo regular review, including:
Annual Review

  • Student outcomes and performance

  • Pass rates and academic success indicators

  • Course evaluations

  • Faculty teaching evaluations

  • Laboratory facilities and equipment

  • Student projects and design work

  • Employer feedback and industry input

Comprehensive Review (Every 3–4 Years)

A thorough evaluation of:

  • Curriculum structure and content

  • Course syllabi and learning objectives

  • Integration of emerging technologies

  • Labor market needs and industry trends

  • Software tools and simulation platforms

  • Laboratory infrastructure

  • Educational outcomes and program effectiveness

Note: Courses in Artificial Intelligence and Smart Energy must be updated frequently due to the rapid evolution of these fields.

Industrial Advisory Board

It is proposed to establish an Industrial Advisory Board comprising representatives from:

  • Electric utility companies

  • Photovoltaic (PV) and solar energy firms

  • Energy storage and battery companies

  • Industrial and manufacturing sectors

  • Control and automation companies

  • Engineering consulting firms

  • Energy experts and specialists

  • Alumni graduates of the faculty

The board meets regularly to evaluate the alignment of academic programs with labor market requirements and to provide strategic guidance.

Faculty Future Philosophy

The new academic model of the faculty can be summarized in the following progressive pathway:

 
 
Year Focus Areas
Year 1 Science + Mathematics + Programming + Engineering Foundations
Year 2 Electrical + Mechanical + Thermal + Control + Modeling
Year 3 Solar + Wind + Storage + Power Systems + Smart Grids + Machine Learning
Year 4 AI + IoT + Digital Twins + Cybersecurity + Optimization + Economics + Capstone Project
Master's Advanced Engineering + Specialization + Research
PhD Original Research + Innovation + International Scientific Contribution

Proposed Program Structure

Undergraduate Programs

  • Bachelor of Science in Renewable Energy Engineering
    128 Credit Hours – 4 Years

Graduate Programs

  • Master of Science in Renewable Energy Engineering
    30 Credit Hours

  • Master of Science in Sustainable Energy Systems and Smart Grids
    30 Credit Hours

  • Doctor of Philosophy (PhD) in Renewable Energy Engineering
    36 Credit Hours (beyond the Master's degree)

Academic Identity of the Faculty

The core academic message to students and the labor market is:

"The Faculty of Renewable Energy Engineering does not merely teach renewable energy sources; it teaches the design, operation, and optimization of the entire future energy system – from generation, storage, and grids to artificial intelligence, digital transformation, and sustainability."

The faculty's academic identity is built upon five interconnected pillars:

 
 
Pillar Focus
Renewable Energy Solar, wind, hydro, biomass, geothermal
Energy Storage Batteries, thermal storage, hydrogen, supercapacitors
Smart Grids Grid modernization, microgrids, automation
Artificial Intelligence Machine learning, forecasting, optimization, digital twins
Sustainable Energy Systems Integration, policy, economics, life-cycle assessment

This modern engineering identity is designed to be adaptable and forward-looking, distinguishing the faculty from traditional models that separate energy engineering from programming, data science, and intelligent systems.

 

Dean of the Faculty of Renewable Energy Engineering

Dr. Adel Adam

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Department of Renewable Energy Engineering
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Graduate Studies Department
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