Tamer T.N. Khatib

Tamer T.N. Khatib
An-Najah National University · Department of Energy Engineering and Environment

B.Sc, M.Sc., Ph,D, Habilitation

About

146
Publications
71,781
Reads
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4,867
Citations
Introduction
My research interests mainly fall in the scope of photovoltaic systems and solar energy fundamentals. These interests include PV systems design and optimization, modeling and control of PV systems, hybrid PV/Wind systems, hybrid PV/diesel systems, Grid connected PV systems, sun trackers, MPPT technology, inverters in PV system, solar chargers, batteries and charge controllers, solar energy fundamentals, solar energy prediction, AI applications for solar energy and PV systems, wind power systems
Additional affiliations
April 2018 - present
An-Najah National University
Position
  • Professor (Associate)
Description
  • Associate Professor of Renewable Energy
Education
January 2011 - June 2013
Universiti Kebangsaan Malaysia
Field of study
  • Electrical Engineering

Publications

Publications (146)
Article
Full-text available
In this paper, an optimal load scheduling model of household appliances for smart home energy management considering demand response for different pricing schemes is proposed. Henry gas solubility optimization method is used to obtain optimal load scheduling solutions, and then these solutions are sorted using VIKOR multi-criteria decision making m...
Article
Full-text available
This paper presents deep learning neural network models for photovoltaic output current prediction. The proposed models are long short-term memory and gated recurrent unit neural networks. The proposed models can predict photovoltaic output current for each second for a week time by using global solar radiation and ambient temperature values as inp...
Article
Optimal placement and sizing of Distributed Generation (DG) are essential for future power planning of distribution networks. The performance of Gravitational Search Algorithm (GSA) and an Improved version of Gravitational Search Algorithm (IGSA) are compared in solving the optimization problem. The multi-objective function optimization includes po...
Article
Full-text available
In this research, a novel design and operation of solar-based charging system for battery vehicle for a 50 km run is proposed. The proposal is aimed at replacing 110 existing diesel vehicles with 39 electric buses. Several operation scenarios for the charging stations are proposed and analyzed. Scenarios include two different battery charging metho...
Article
Full-text available
This paper presents a smartphone application game that aims to increase the awareness of preschoolers on renewable energy. The age of the selected preschoolers is in the range of 4-6 years. The game is called DAYSAM, and it aims to increase awareness regarding photovoltaic arrays, wind turbines, mini-hydropower stations, energy efficiency, and risk...
Article
Full-text available
In this paper, an optimization approach for designing a hybrid renewable energy system with zero load rejection is presented for a specific location in Malaysia. The proposed renewble energy system includes photovoltaic system, gas turbine generator and battery bank. The aim of the optimization process is to design the system with a loss of load pr...
Article
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A standalone photovoltaic system mainly consists of photovoltaic panels and battery bank. The use of such systems is restricted mainly due to their high initial costs. This problem is alleviated by optimal sizing as it results in reliable and cost-effective systems. However, optimal sizing is a complex task. Artificial intelligence (AI) has been sh...
Article
Most of Mauritania’s landscape is desert areas with very limited water sources. In the meanwhile, the current irrigation methods that are used in available oases are conventional and implied high water losses which lead to desertification of the oases and consequently destroy agriculture and livestock. Thus, this research aims to protect these oase...
Article
Full-text available
Abstract The rising demand for sustainable energy requires to identify the sites for photovoltaic systems with the best performance. This paper tackles the question of feasibility of photovoltaic power plants at high altitude. A direct comparison between an alpine and an urban area site is conducted in the south of Austria. Two low-cost automatic p...
Article
Full-text available
Considering, the high penetration of plug-in electric vehicles (PHEVs), the charging and discharging of PHEVs may lead to technical problems on electricity distribution networks. Therefore, the management of PHEV charging and discharging needs to be addressed to coordinate the time of PHEVs so as to be charged or discharged. This paper presents a m...
Article
This paper presents an intelligent maximum power point tracker which combines the conventional perturbation and observation method and an artificial neural network. The proposed controller overcomes the drawback of the conventional perturbation and observation under partial shading conditions. A MATLAB model for a photovoltaic system is developed s...
Article
Missions to Mars need a power source, while, one of the most compatible sources for such a purpose is the photovoltaic system. Photovoltaic systems generate power based on the available energy from the Sun, and thus, solar radiation intensity at Mars should be known for design purposes. In this research, the feed-forward back-propagation artificial...
Article
Full-text available
Jordan Valley area suffers from a lack of water because of the current political situation. Therefore, water distribution is being done on a periodic basis and farmers need to store water in artificial ponds on site so as to be able to irrigate their field during the anonymous days that water is not available from the main supply. However, artifici...
Article
This study aims to measure the level of university students' knowledge regarding renewable energy including technical, economical and policy aspects. Thus, a questionnaire is developed and distributed to students from all faculties of An-Najah National University. The results show that there is no significant difference in students' knowledge of re...
Article
Full-text available
From the growth of residential energy demands has emerged new approaches for load scheduling to realize better energy consumption by shifting the required demand in response to cost changes or incentive offers. In this paper, a hybrid method is proposed to optimize the load scheduling problem for cost and energy saving. The method comprises a multi...
Article
Standalone photovoltaic system is promising sustainable energy source. Accurate modeling and sizing of these systems strongly affect the system's feasibility. Thus, in this paper, optimal sizing of standalone photovoltaic system is conducted based on multi-objective differential evolution algorithm integrated with hybrid multi-criteria decision mak...
Article
An estimated 16% of the world’s population do not have access to electricity, and most of them live in rural areas. A reliable energy access for rural communities will help them break out of the cycle of poverty and will empower significant socio-economic benefits. Specifically, the energy sector situation in Palestine suffers from scarcity of trad...
Article
This paper presents a new I-V curve prediction method using artificial neural networks. The proposed method is based on two artificial neural networks namely generalized regression artificial neural network and cascaded forward neural network. An experiment is set up so as to extract a dataset that includes records of solar radiation, ambient tempe...
Article
Full-text available
The photovoltaic (PV) generating system has high potential, since the system is clean, environmental friendly and has secure energy sources. There are two types of PV system, which are grid connected and standalone systems. In the grid connected photovoltaic system (GCPV), PV generator supplies power to the grid, whether or not the whole or a porti...
Article
Distributed generation (DG) technology has been growing rapidly in industries as this technology can increase the overall efficiency to the power systems. Improper placement and sizing can lead to power losses and interrupt the voltage profile of distribution systems. Studies have been done to solve the DG placement and sizing problem considering s...
Article
Full-text available
The presence of optimized distributed generation (DG) with suitable distribution network reconfiguration (DNR) in the electrical distribution network has an advantage for voltage support, power losses reduction, deferment of new transmission line and distribution structure and system stability improvement. However, installation of a DG unit at non-...
Article
Full-text available
This study presents a prediction technique for the output current of a photovoltaic grid-connected system by using random forests technique. Experimental data of a photovoltaic grid-connected system are used to train and validate the proposed model. Three statistical error values, namely root mean square error, mean bias error, and mean absolute pe...
Article
Photovoltaic water pumping system (PVPS) is considered one of the most important and promising application of solar energy in remote and rural areas. The random nature of solar energy is one of the main obstacles that encounter the designer to design an effective PVPS. Thus, an optimal and effective sizing approach is essential to ensure satisfacto...
Conference Paper
This paper presents a simple iterative method for optimally sizing an inverter in a grid-connected photovoltaic (PV) system. Hourly solar radiation and ambient temperature data are used in this work for developing the models of grid-connected PV system. The results show that for the adapted case, the optimum inverter size ratio is 1.66 whereas the...
Article
In this paper, a feasibility and load sensitivity analysis is conducted for photovoltaic water pumping systems with storage device (battery) or diesel generator so as to obtain an optimal configuration that achieves a reliable system. The analysis is conducted based on techno-economic aspects, where the loss of load probability and life cycle cost...
Article
An estimated 1.2 billion people around the world don’t have access to electricity, while many more suffer from supply that is of poor quality. Domestic energy poverty is most severe in the rural areas of South Asia, South East Asia and Sub-Saharan Africa. Basic energy needs, such as cooking and lighting, are cov- ered using traditional biomass and...
Article
This paper presents a size optimization method of the energy sources in a standalone photovoltaic system. The proposed technique implies improved photovoltaic array model, dynamic battery model, and accurate objective function as well as a fast simulation algorithm. The loss of load probability (LLP) is used to define the availability of the system...
Article
Full-text available
In this paper, an efficient testing system for measuring a PV module's I-V curve is proposed. The proposed system is based on a controlled DC-DC boost converter. The advantage of using a DC-DC converter is that this converter is typically used in PV systems to track the maximum power point and to control the charging of the battery. Consequently, t...
Article
Reliable knowledge of solar radiation is an essential requirement for designing and planning solar energy systems. Thus, this paper presents a novel hybrid model for predicting hourly global solar radiation using random forests technique and firefly algorithm. Hourly meteorological data are used to develop the proposed model. The firefly algorithm...
Article
Solar energy is effectively used to power stand-alone photovoltaic pumping systems (PVPSs) for irrigation and drinking purposes in remote areas. However, random vicissitudes and the unpredictability of the amount of solar energy that can be harnessed lead to difficulties in designing PVPS. Thus, an optimal sizing approach is essential to ensure sat...
Article
Photovoltaic water pumping system (PVPS) is an important and promising application of solar energy systems especially in remote areas. In this review paper, research work on PVPS modeling, reliability, feasibility, field performance, design procedures and control strategies is analyzed and reported. In addition, technical challenges to this science...
Article
This paper presents the application of heuristic optimization techniques for determining optimal placement and sizing of photovoltaic-based distributed generation (PVDG) in a distribution system. The objective functions of the optimization problem, consider a real power loss, voltage deviation, average voltage total harmonic distortion (THD) and sy...
Article
This paper proposes different evolutionary algorithms, such as differential evolution and electromagnetism-like algorithms, to extract the five parameters of a single-diode photovoltaic module's model. Hybrid evolutionary algorithms are proposed with integrated and adaptive mutation per iteration schemes. In addition, a new formula to adjust the mu...
Conference Paper
This paper presents simplified replacement models for hybrid Photovoltaic/Diesel generator/battery system's components. The proposed models consider the most typical control strategies of this system namely, load following and cycle-charging. The purpose of the proposed models is to predict the required component's replacement actions through a spe...
Article
Full-text available
This paper presents a comparative study between two proposed size optimization methods based on two battery's models. Simple and complex battery models are utilized to optimally size a standalone photovoltaic system. Hourly meteorological data are used in this research for a specific site. Results show that by using the complex model of the battery...
Article
In this paper, a differential evolution based multi-objective optimization algorithm is proposed to optimally size a photovoltaic water pumping system (PVPS). Non-dominated sorting and crowding distance concepts are used to increase the elitism and diversity of the proposed algorithm. The proposed objective function is composed of technical and eco...
Article
The reliance of future energy demand on standalone PV system is based on its payback period and particular electrical grid parity prices. This highlights the importance for optimum and applicable methods for sizing these systems. Moreover, the designers are being more sensitive toward simple and reliable sizing models for standalone PV system. This...
Chapter
A solar cell is modeled as a p-n junction with nonlinear characteristics to describe its electrical response. To analyze these characteristics, a mathematical model of the solar cell is derived from mathematical equations in terms of solar cell inputs and outputs. For all applications, the one-half volt produced by a single solar cell is inadequate...
Chapter
In photovoltaic (PV) systems, the PV array is considered as the main energy source. However, in order to increase the availability of PV systems, auxiliary energy sources need to be combined with the PV array. These energy sources can be energy-generating sources such as wind turbines, diesel generators, or energy storage units like batteries. In a...
Chapter
There is a need for modeling of the solar source considering solar astronomy and geometry principles. Moreover, the measured solar radiation values can be used for developing solar radiation models that describe the mathematical relations between the solar radiation and the meteorological variables such as ambient temperature, humidity, and sunshin...
Chapter
A smart grid will not only have to integrate distributed renewable energy sources but will also have to integrate information and communication technologies (ICT) for management and control while considering social, ecological, and economical effects of the new system. The introduction of photovoltaic-based distributed generation units (PVDG) in th...
Chapter
The size and performance of photovoltaic (PV) systems depend on meteorological variables such as solar energy, wind speed, and ambient temperature, and therefore, to optimize and control PV systems, accurate models must be developed in order to simulate system's performance. PV system models can be divided into two types of energy flow models and c...
Chapter
This chapter shows an important application of photovoltaic (PV) system modeling, which is PV system size optimization by discussing three examples, which are stand-alone PV (SAPV) system, hybrid PV/diesel generator/wind system, and PV water pumping system (PVPS). SAPV systems are used in the remote areas where there is no access to the electricity...
Article
In this paper, a differential evolution based multiobjective optimization algorithm is proposed to optimally size a photovoltaic water pumping system (PVPS). Three weighted individual objectives are aggregated by a single function to optimize the configuration of PVPS. Loss of load probability, life cycle cost and the volume of excess water are con...
Conference Paper
This paper presents an optimization method for sizing a standalone PV system by considering improved PV array model, dynamic storage battery model, and realistic objective function. The loss of load probability is used to define the availability level of the system. Different PV/battery configurations with different availability levels are generate...
Conference Paper
This paper presents a novel technique for modeling of photovoltaic (PV) array using random forests (RFs). Metrological variables such as solar radiation and ambient temperature as well as actual output current of a 3 kWp PV grid-connected system installed at Universiti Kebangsaan Malaysia have been utilized. These data are used to train and validat...
Conference Paper
This paper proposes a new method for extracting parameters of double diode model of photovoltaic module, based on differential evolution with adaptive mutation per iteration (DEAM) algorithm. The proposed method combined the mutation mechanism of electromagnetism-like algorithm with conventional version of different evolution (DE) algorithm to enha...
Conference Paper
A simplified replacement model for the components of the hybrid Photovoltaic/Diesel generator/Battery system is proposed in this paper. The proposed model considers the load following control strategy which it is the most typical control strategy of this system. The proposed model aims to predict the required component's replacement actions through...
Article
This article presents a novel solar radiation prediction approach using artificial neural networks. The developed model predicts three meteorological variables using sunshine ratio, day number, and location coordinates. These meteorological variables are solar energy, ambient temperature, and relative humidity. However, three statistical values are...
Article
Full-text available
This paper presents a model for predicting hourly solar radiation data using daily solar radiation averages. The proposed model is a generalized regression artificial neural network. This model has three inputs, namely, mean daily solar radiation, hour angle, and sunset hour angle. The output layer has one node which is mean hourly solar radiation....
Article
This paper presents prediction models for photovoltaic (PV) module's output current. The proposed models are based on empirical, statistical, and artificial neural networks. The adopted artificial neural networks are generalized regression, feed forward, and cascaded forward neural networks. The proposed models have two inputs, namely, solar r...
Article
In this paper, an improved differential evolution with adaptive mutation per iteration algorithm (DEAM) is proposed for extracting PV module's model parameters. DEAM utilizes the attraction-repulsion concept which is used in the electromagnetism to boost the mutation operation of the original differential evolution (DE). Furthermore, a new formula...
Article
Accurate modeling of photovoltaic (PV) modules is helpful in designing and assessing the energy production of PV systems. A new version of the differential evolution (DE) algorithm, called differential evolution with integrated mutation per iteration (DEIM), is proposed in this study to extract the seven parameters of a double-diode PV module model...
Article
This paper proposes a novel prediction model for photovoltaic (PV) system output current. The proposed model is based on cascade-forward back propagation artificial neural network (CFNN) with two inputs and one output. The inputs are solar radiation and ambient temperature, while the output is output current. Two years of experimental data for a 1....
Article
This paper proposes a novel prediction model for photovoltaic (PV) system output current. The proposed model is based on cascade-forward back propagation artificial neural network (CFNN) with two inputs and one output. The inputs are solar radiation and ambient temperature, while the output is output current. Two years of experimental data for a 1....
Article
Simplified dynamic models of photovoltaic/diesel generator/battery system using MATLAB line code are presented in this paper. The main purpose of these models is to predict the performance of photovoltaic/diesel generator/battery system through a specific time period. A complex battery model as well as the most recommended control strategies such a...
Article
Integrating renewable energy resources such as photovoltaic system with diesel generator in a hybrid power system is widely spread in the worldwide due to the economic and technical aspects. These systems prove their feasibility in the remote areas, where the grid extension is not available. An optimum dispatch strategy for these systems is a very...
Article
This article presents a method for optimizing the tilt angle of photovoltaic module/array installed in the five sites in Malaysia. The optimization method is based on the Liu and Jordan model for solar energy incident on a tilt surface considering monthly and seasonal tilt angles. The optimization results showed that a seasonal optimum tilt angle c...
Article
This paper shows the productivity of grid-connected photovoltaic systems, to plan future investments in the region around Klagenfurt, Austria. To evaluate the usage of grid-connected PV systems, a methodology based on mainly three factors is presented. These factors are yield factor, capacity factor and cost of energy. The analysis is done by a mod...
Article
Optimization of hybrid photovoltaic/wind system for Kuala Terengganu, Malaysia has been implemented by considering optimal sizing of photovoltaic array, wind turbine, and battery. The optimization technique is done based on loss of load probability and system cost. Simulation models of hybrid photovoltaic/wind system are developed by using daily so...
Article
This paper proposes a novel prediction model for PV module output current. The proposed model is based on cascade-forward back propagation artificial neural network with two inputs and one output. The inputs are solar radiation and ambient temperature while the output is PV module output current. Two years of experimental data for a 1.4 kWp PV syst...
Article
Full-text available
Solar PV technology and application has been given the highest priority in Malaysia Feed-in-Tariff (FiT) program based on the per kWh electricity rate achieving huge cumulative quota of 18,000 MW. The high enthusiasm and green culture is based on the fact that solar energy source is free, abundance, clean and Malaysia receive approximately 6 hours...
Conference Paper
A novel prediction model for the output current of PV module is proposed in this paper. The proposed model is based on cascade-forward back propagation artificial neural network with two inputs and one output. Solar radiation and ambient temperature are the inputs and the predicted current is the output. Experiment data for a 1.4 kWp PV systems ins...
Article
Full-text available
This paper presents a design and evaluation practice of a grid-connected photovoltaic system installed in Sohar, Oman. Hourly solar radiation and ambient temperature data for one year time are utilized. The designed system is implemented practically and tested for six months to check its productivity and feasibility. The system is evaluated using t...