Tamer Khatib

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The progressive installation of renewable energy sources requires the coordination of energy consuming devices. At consumer level, this coordination can be done by a home energy management system (HEMS). Interoperability issues need to be solved among smart appliances as well as between smart and non-smart, i.e., legacy devices. We expect current(More)
This paper presents an iterative method for optimizing inverter size in photovoltaic (PV) system for five sites in Malaysia. The sizing ratio which is the ratio of PV rated power to inverter’s rated power is optimized at different load levels using different commercial inverters models. Hourly solar radiation and ambient temperature records are used to(More)
This paper presents an improved maximum power point tracking (MPPT) controller for PV systems. An Artificial Neural Network and the classical P&O algorithm were employed to achieve this objective. MATLAB models for a neural network, PV module, and the classical P&O algorithm are developed. However, the developed MPPT uses the ANN to predict the optimum(More)
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, this(More)
This paper presents a solar energy prediction method using artificial neural networks (ANNs). An ANN predicts a clearness index that is used to calculate global solar irradiation. The ANN model is based on the feed forward multilayer perception model with four inputs and one output. The inputs are latitude, longitude, day number and sunshine ratio; the(More)
This paper presents an improved indirect maximum power point tracking (MPPT) method for a standalone photovoltaic (PV) generation system. The proposed method is based on curve fitting for finding the best fit for the P-V characteristic curve by representing it in terms of a polynomial function of the fourth degree. The predicted P-V curve strongly depends(More)
Fossil fuels energy consumption leads to the major global problems such as shortage of energy and the climate changes and these problems can be solved by efficient use of renewable energy resources. Photovoltaic power generation is expanding rapidly because of the growing interest in the renewable energy resources. In this paper, detailed photovoltaic(More)
In this study, three photovoltaic (PV) systems are evaluated based on actual performance. The energy generation of three types of PV systems namely concentrating PV system (6 units 1 kWp), PV system with sun tracking flat (2 units 1 kWp) and fixed flat PV system (2 units 1 kWp) is analyzed in this research. Data analysis for ten consecutive months(More)
In this research an iterative method for determining the optimal sizing of standalone photovoltaic (PV) system in terms of optimal sizing of PV array and battery storage is proposed. A standalone PV system energy flow is first analysed using a developed model for a standalone PV system. In finding the optimal size of PV array and battery, a long term data(More)
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, the(More)
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