Authors : Ali S. Khraiwish Dalabeeh
Abstract: Based on the fact that many remote and isolated sites in Jordan are located far away from the national electric grid and cannot be connected to it in the near future or conventional generation is not practical to be built and keeping in mind that some of these sites enjoy highest yearly averages of both wind speed and solar radiation, the hybrid power system is considered as the practical solution for electrification these sites. The given study presents a preliminary analysis of hybrid wind/PV standalone power system in five preselected locations in Jordan. The Capacity Factor (CF) in each location for each turbine model has been calculated based on the monthly values of the Wiebul constants: scale parameter (C) and dimensionless shape parameter (K). The Cost of the Energy unit (COE) in each location for each wind turbine type and PV cell type has been calculated. The present work proposed an algorithm to select the proper wind turbine type and the proper PV cell type to the interested location. By means of the proposed algorithm, the suitable corresponding location can be specified to the investigated given wind turbine type or the PV cell type. The combination of location, wind turbine type and PV cell type that has a maximum CF and minimum COE is considered as the best one. A flowchart for the proposed algorithm has been presented. The analysis performed in this study will set guidelines to energy consultants or engineers in designing the standalone hybrid energy systems by considering wind speed, solar radiation and the current industry costs of various hybrid subsystem components in order to meet the load requirements on a bases of economical and technical constraints. The results are demonstrated on a virtual large scale load of 100 MW peak power with a load sharing between the wind energy (75%) and the PV energy (25%).
Ali S. Khraiwish Dalabeeh , 2018. Optimizing the Combinations of Sites, Turbine Types and Cells Types of a Hybrid Power System for Remote Sites in Jordan. Journal of Engineering and Applied Sciences, 13: 6659-6667.