首页> 外文会议>International Conference on Energy, Communication, Data Analytics and Soft Computing >Optimal cost analysis of off-grid hybrid renewable energy system with PV degradation and electrical load variation using multi-year module and advanced storage module
【24h】

Optimal cost analysis of off-grid hybrid renewable energy system with PV degradation and electrical load variation using multi-year module and advanced storage module

机译:使用多年模块和高级存储模块的具有光伏退化和电力负荷变化的离网混合可再生能源系统的最优成本分析

获取原文

摘要

Awareness about the effects of global warming and free availability of renewable resources has stimulated many countries to consider solar, wind and hydel energy as an alternative to conventional energy sources. Combining these renewable energy resources to form a hybrid renewable energy system can provide a reliable, economic and environmental friendly solution that can address the ever-rising power demand. This paper aims to simulate and optimize an off-grid PV/Wind system to meet the electrical load demand of 1, 606 kWh/day with a peak load of 258.31 kW of an educational institute namely CMR Institute of Technology, located in Bangalore, Karnataka, India. The hybrid system utilizes diesel generator and Li-Ion [ASM - Advanced Storage Module] battery as a backup and storage system. HOMER ENERGY's latest version of HOMER software called HOMER Pro v3.6.3 is used to model the hybrid system. This version takes into consideration PV degradation per year and electrical load variation per year over the project lifespan to calculate the minimal Net Present Cost (NPC) and Cost of Energy (COE), which was lagging in the earlier versions. By applying sensitivity analysis for solar radiation, wind speed and diesel fuel price and comparing the hybrid system with and without multi-year input module, it was found that the PV/DG system was most suitable to meet the electrical load demand of the institute followed closely by the hybrid PV/Wind/DG system. The inclusion of multi-year input ensured more accurate cost analysis. The simulation was performed by considering INR as the currency.
机译:对全球变暖的影响和可再生资源的免费获取的认识促使许多国家考虑将太阳能,风能和海德尔能源替代传统能源。将这些可再生能源组合起来,形成混合可再生能源系统可以提供可靠,经济和环保的解决方案,从而满足不断增长的电力需求。本文旨在模拟和优化离网光伏/风电系统,以满足教育机构(即位于卡纳塔克邦班加罗尔的CMR技术学院)的峰值负荷为258.31 kW的1 606 kWh /天的电力负荷需求,印度。混合动力系统利用柴油发电机和锂离子[ASM-高级存储模块]电池作为备用和存储系统。 HOMER ENERGY的HOMER软件最新版本称为HOMER Pro v3.6.3,用于对混合系统进行建模。该版本考虑了项目生命周期中每年的PV降级和每年的电力负荷变化,以计算最小的净现值(NPC)和能源成本(COE),这在早期版本中是落后的。通过对太阳辐射,风速和柴油价格进行敏感性分析,并比较具有和不具有多年输入模块的混合动力系统,发现PV / DG系统最适合满足研究所的电力负荷需求由PV / Wind / DG混合系统紧密控制。包括多年的投入,确保了更准确的成本分析。通过将INR作为货币进行模拟。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号