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Assessment of hybrid renewable energy systems to drive water desalination plant in an arid remote area in Jordan
International Journal of Green Energy ( IF 3.1 ) Pub Date : 2021-01-01 , DOI: 10.1080/15435075.2020.1865371
Safwan M. Al-Qawabah 1 , Mohammed S. Al-Soud 2 , Athkar K. Althneibat 2
Affiliation  

ABSTRACT

Jordan is relatively poor in conventional energy resources and it is dependent on foreign energy sources to cover its energy needs. At the same time the low percentage of freshwater along with the rapidly growing population urge to drag the attention to water desalination. This study presents an investigation and assessment of renewable energy resources to operate a reverse osmosis desalination plant located in arid remote area Sail El hasaa, Jordan with a capacity of up to 100 m3 of daily. The HOMER Hybrid Optimization Model Tool has been used to create optimal designs for these renewable energy systems. The photovoltaic system, wind turbine system, diesel generator, and hybrid system are evaluated in terms of each system’s net present cost and cost of energy. Different configurations are suggested for each system and compared to meet the analysis requirements. Results showed that the hybrid system is the most optimum system with the configuration of photovoltaic modules, diesel generator, wind turbine, and DC/AC converter.



中文翻译:

评估混合可再生能源系统,以驱动约旦干旱偏远地区的海水淡化厂

抽象的

约旦的常规能源资源相对较差,它依靠国外能源来满足其能源需求。同时,淡水所占的比例低,加上人口的迅速增长,促使人们将注意力转移到淡化海水上。这项研究提出了对可再生能源资源的调查和评估,该资源用于运营位于约旦干旱偏远地区Sail El hasaa的最大容量为100 m 3的反渗透海水淡化厂每天。HOMER混合优化模型工具已用于为这些可再生能源系统创建最佳设计。光伏系统,风力涡轮机系统,柴油发电机和混合动力系统是根据每个系统的净现值成本和能源成本进行评估的。建议为每个系统使用不同的配置,并进行比较以满足分析要求。结果表明,混合系统是最优化的系统,其配置有光伏模块,柴油发电机,风力涡轮机和DC / AC转换器。

更新日期:2021-03-01
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