
Ghaith WarkozekDamascus University · Department of Electric Power Systems at the Faculty of Electrical and Mechanical Engineering
Ghaith Warkozek
Doctor of Engineering
Director of scientific research and post graduate studies at Damascus University
About
26
Publications
10,065
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219
Citations
Citations since 2017
Introduction
PhD in Electrotechnic engineering from Grenoble University (France) in 2011. M.Sc. in Electro technical engineering from Grenoble Institute of technology INPG (France) in 2007. B.Sc. in Electric power engineering, (Syria) in 2004. His main interest is energy management in integrated systems and smart grids. Lecturer at Damascus University since 2012. Guest lecturer in Higher Institute of Applied Science and Technology (Syria) since 2015.
Additional affiliations
January 2012 - November 2015
January 2012 - December 2016
January 2011 - January 2012
Publications
Publications (26)
Coupling of special high power loads (like high power induction furnace HPIF) to weak grids will affect its energy balance and quality. Furthermore, the energy flow is limited in such networks thus some loads will be rationed.
This paper focuses on assisting the power provisioning in the weak grid by the help of a wind energy system (WES). This on...
This paper presents A New Methodology for Controlling excitation voltage of a synchronous generator Using Intelligent Controller. This controller depends on Genetic Neural Networks Using Single Phase Semi-converter, To investigate the Effectiveness of the Proposed Controller on the excitation of the synchronous generator, It Was Compared with AC1A...
This paper presents A New Methodology for Controlling Ac Motor’s Speed by Using Controller Depends On Genetic Neural Networks Using Three Phase Bridge Inverter, To See the Effectiveness of the Proposed Controller in Controlling the Speed of an Ac Motor, It Was Compared with Pi Controller, The Proposed Controller Depends On Genetic Neural Networks T...
The Research Presents a New Methodology for Controlling DC Motor’s Speed by using Controller Depends on an Adaptive Neuro-Fuzzy Inference System, using buck converter, to see The Effectiveness of the Proposed Controller in Controlling The Speed of a Dc Motor, Compared to a PI Controller, The Proposed Controller Depends on an Adaptive Neuro-Fuzzy In...
In this Paper a New Design Methodology for The Vibration Damper for Synchronous Machine Depends On Adaptive Neuro Fuzzy Inference System, Is Proposed in Order to Reduce the Oscillation Voltage in Electrical System and Find Out the Effectiveness of Proposed Damper in The Stability of the System, It Was Compared with Traditionally Power System Stabil...
One of important issues that should be taken into consideration in a fuel cell vehicle FCV is the dynamic response of the electric power source according to driver's commands, which in case of using fuel cell FC is an obstacle. Because of thermodynamics effects, fuel cell has a slow dynamic response. In this research an alternatives solutions are s...
This study aims to analyze a renewable proton exchange membrane PEM fuel cell system, by dividing it into four subsystems (PEM fuel cells as the main power source, PEM electrolyser as hydrogen producer, photovoltaic modules as the renewable source that supplies the electrolyser, and hydrogen tank). Then, a mathematical model of each subsystem is si...
In this paper, a method is proposed to automatically identify or retrieve parameters of an energetic model of servers in Internet DataCenters (IDC). Using historical measurements of power consumption and Informatics Technology (IT) load, the parameters of server model are identified as defined in previous publications. This identification is used t...
A method for the optimal sizing of energy sources and for the optimal plan of energy management of a positive energy building is presented in this paper. The method, based on linear programming, allows determining the optimal area of a PV installation, the optimal battery installation size, and the minimum power to be contracted with the electricit...
Building Energy Management Systems (BEMS) have been developed in order to improve dwelling energy efficiency, which is seen as a compromise between energy cost and overall comfort. A BEMS optimize the control of energy supply and demand according to forecasting data. This paper proposes new BEMS strategies to support Demand Side Management and vali...
Purpose
– The purpose of this paper is to introduce a problematic phenomenon that can occur when managing multi electrical sources systems by optimization.
Design/methodology/approach
– The energy management problem is formulated as a linear optimisation problem. Two approaches are developed and applied to detect the possible existence of equivale...
The goal of this paper is to propose a real time solution to validate energy smart-home strategies that support Demand Side Management done by direct control. The validation concerns the appliances under control. An Energy Management System globally controls the appliances of a house, satisfying the subscription power limits. A hardware-in-the-loop...
Electricity consumption of data centers increases continuously. Beside of the IT industry which tries to reduce this consumption by improving efficiency of components in data centers, there are research solutions based on an optimized energy management of data centers by acting on the IT load placement, then on cooling, start-up and shut down. In t...
The building is becoming increasingly a complex system where energy flows must be managed according to consumption: we talk about intelligent buildings. This means increasing complexity for designers who need to focus as much on building itself (several power sources and multiplication of charges) in its equipment, and in its energy management but...
This paper presents an energy management system EMS controlling household energy capable both to satisfy the maximum available electrical energy constraint and to maximize user comfort criteria. It is composed into three layers: anticipation, reactive and device layers. Actually, this household energy control system is based on simple models. To va...
This paper focuses on Energy Management System (EMS) applied to the residential sector. The EMS architecture is proposed. It is composed on three layers: anticipation, reactive and device (local) layers. However, to validate global control algorithms, a simulator capable of interoperating with energy management systems must be used. This work prese...
Le secteur de bâtiment représente 43% de la consommation totale du pays en énergie primaire. Pour cette raison, le bâtiment est considéré comme un énorme gisement potentiel d’économies d’énergie, d’où l’existence de nombreux travaux de recherche sur ce thème. Parmi ces derniers travaux, le projet ANR Multisol a proposé une solution pour la gestion...
Multi-sources building is a complex system composed of different types of electrical sources, solar panels, batteries...etc. To optimally anticipate the energy management a lot of input data should be taken in account, like weather forecast, energy prices, load variation...etc. Furthermore anticipation may have different equivalent strategies as co...
This paper focuses on Energy Management System (EMS) applied to the residential sector. The EMS architecture is proposed. It is composed on three layers: anticipation, reactive and device (local) layers. However, to validate global control algorithms, a simulator capable of interoperating with energy management systems must be used. This work prese...
Neural networks algorithms are tested to replace an optimization module for the energy management of a residential grid-connected PV system with storage. This study shows multiple problems of the implementation of these tools, despite their theoretical promising interests.
This paper focuses on the detection of physically incompletely stated (PIS) optimization problems for energy management. To highlight this phenomenon, a simple linear optimization problem, representing a multi electrical source system, is formulated and solved. Two solvers (linear programming LP and sequential quadratic programming SQP) have been u...
Neural networks algorithms are tested to replace an optimization module for the energy management of a residential grid-connected PV system with storage. This study shows multiple problems of the implementation of these tools, despite their theoretical promising interests. The rapid development of renewable energy in the residential area and the fo...
Projects
Project (1)
Energy Management Strategy of Multi sources Fuel cell Hybrid Vehicle