Skip to main content

لThe Faculty of Engineering won first place in the Assiut University Award for Quality and Excellence in the Best Colleges category

Prof. Dr. Ezzat Abdel Moneim Marghany, Acting Dean of the Faculty of Engineering, received in his office the Faculty's Quality Team, led by Dr. Nabil Yass Abdel Shafi Mohamed, Assistant Professor in the Department of Mechanical Power and Director of the Quality Assurance Unit at the Faculty, for the Faculty's winning of first place in the Assiut University Award for Quality and Excellence in the Best Faculties category, in the presence of Prof. Dr. Mohamed Safwat, Vice Dean of the Faculty for Community Service and Environmental Development Affairs, and Prof. Dr. Moamen Taha El-Meligy, Vice Dean of the Faculty for Graduate Studies and Scientific Research Affairs.

The Faculty of Engineering family extends its warmest congratulations to the employees of the Quality Department, namely:

Mr. Imad Abdel Rahman Sayed

Ms. Hind Mohamed Mahmoud

Ms. Safaa Abdel Rahman

And Ms./ Menatallah Ahmed Mahmoud

To the gentlemen working in the various departments and administrations for the college winning first place in the Assiut University Award for Quality and Excellence in the category of the best colleges, wishing them continued progress and success.

#إعلام_كليةالهندسة_جامعةأسيوط

11

22

33

Evaluation of the effects of improving tertiary earthen canals on water savings, conveyance efficiency, and agricultural productivity

Research Authors
Mohamed A Ashour, Mahmoud S Abdel Nasser, Tarek S Abu-Zaid
Research Date
Research Department
Research Journal
Ain Shams Engineering Journal
Research Year
2024

Dual‐stage day‐ahead optimized performance of renewable‐based microgrids

Research Abstract

In distributed networks, wind turbine generators (WTGs) are to be optimally sized and positioned for cost‐effective and efficient network service. Various meta‐heuristic algorithms have been proposed to allocate WTGs within microgrids. However, the ability of these optimizers might not be guaranteed with uncertainty loads and wind generations. This paper presents novel meta‐heuristic optimizers to mitigate extreme voltage drops and the total costs associated with WTGs allocation within microgrids. Arithmetic optimization algorithm (AOA), coronavirus herd immunity optimizer, and chimp optimization algorithm (ChOA) are proposed to manipulate these aspects. The trialed optimizers are developed and analyzed via Matlab, and fair comparison with the grey wolf optimization, particle swarm optimization, and the mature genetic algorithm are introduced. Numerical results for a large‐scale 295‐bus system (composed …

Research Authors
Ahmed M Helmi, Farag K Abo‐Elyousr, Hassan Haes Alhelou, Haitham S Ramadan
Research Date
Research Department
Research Journal
IET Renewable Power Generation
Research Pages
2050-2063
Research Vol
17
Research Year
2023
Subscribe to