Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Articles by Tamer Khatib
Total Records ( 3 ) for Tamer Khatib
  Tamer Khatib
  In this study a technical review of designing and installing the photovoltaic (PV) power system is proposed in order high light the optimum design and installing methods so as to optimize the photovoltaic system as much as can. The loads and the sun potential estimation methodologies have been proposed initially then the sizing methods of the PV system components; PV array, controller, batteries and inverter have mentioned. In the second part a recommended ways of interconnecting and installing the PV system have been introduced in order to reduce system faults and breaks consequently increase the system reliability. Finally an economic evaluation of the PV system using the present worth method is suggested in order to know how to evaluate the system feasibility and compare it with another alternative systems.
  Tamer Khatib
  This study aims to introduce a review of designing, evaluating and installing Photovoltaic (PV) water pumping systems. In addition, the study presents information about the available commercial water pumps which are usually used in PV water pumping systems so as to ensure the optimal selection of the pump. In the installation section, recommendations have been mentioned in order to be followed in installing the system and in selecting the storage tank. Load match evaluation technique is used to evaluate the system and shows its feasibility. Finally, a designing example for Palestine has been provided so as to give a optimum design for the selected region.
  Tamer Khatib and Samer AlSadi
  This study presents a wind speed prediction using Feedback forward artificial neural networks for two sites in Palestine which are Ramallah and Nablus. MATLAB is used to develop and train the proposed network using weather records for Palestine. However, three statistical values are used to evaluate the proposed networks. These statistical values are mean absolute percentage error, MAPE, mean bias error, MBE and root mean square error, RMSE. Based on results, the proposed network predicts an accurate daily wind speed values. The MAPE, RMSE and MBE values for the predicted daily wind speed values for Ramallah city are 8%, 0.5305 (12.15%) and -0.0192 (-0.441%). Meanwhile, the MAPE, RMSE and MBE values for predicted daily wind speed values for Nablus city are 9.25%, 0.8407 (14.94%) and 0.09 (1.6%), respectively. Such proposed approach helps in weather forecasting and estimating the output power of a wind turbine.
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility