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Site-specific tailoring of an optimal design of renewable energy system for remote water supply station in Silchar, India

机译:印度Silchar偏远供水站可再生能源系统最佳设计的针对特定地点的定制

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Solar energy is considered as a potential solution for meeting the electrical needs in remote areas having no access to utility grid. However, its intermittent nature and dependence on geographical location possess a major challenge to design renewable energy system for sustainable utilization of solar energy. In this study, site-specific solar resource assessment using statistical parameters, HOMER based techno-economic assessment, and environmental impact analysis are done to design an optimal solar PV-battery based system for water supply station of a remote area of Silchar, India. The results show that two years' average daily accumulated global solar radiation is 3.67 kWh/m(2)-day and the clearness index reveals that 73.5% of the days have partly clear or complete clear sky conditions. The Linke turbidity factor ranges from 3.5 to 5.5. The HOMER simulation results show that 257,014 kWh of energy is produced annually by the PV-battery system and the per-unit cost of energy is found to be $0.307/kWh. The environmental analysis shows that a maximum 98.16% reduction in CO2 emission can be achieved when compared to conventional fuel-based plant. This study provides a realistic approach using site specific solar resource data to optimize a renewable energy system design for remote area application.
机译:太阳能被认为是满足无法访问公用电网的偏远地区电力需求的潜在解决方案。然而,其间歇性和对地理位置的依赖对设计可再生能源系统以可持续利用太阳能提出了重大挑战。在这项研究中,使用统计参数进行基于特定地点的太阳能评估,基于HOMER的技术经济评估以及环境影响分析,以为印度Silchar偏远地区的供水站设计基于太阳能光伏电池的最佳系统。结果表明,两年平均每天累积的全球太阳总辐射为3.67 kWh / m(2)-天,而清洁度指数表明73.5%的天有部分晴天或完全晴天。林克浊度系数范围从3.5到5.5。 HOMER仿真结果显示,光伏电池系统每年产生257,014 kWh的能源,发现每单位能源成本为$ 0.307 / kWh。环境分析表明,与传统的燃料工厂相比,CO2排放量最多可减少98.16%。这项研究提供了一种使用特定地点的太阳能资源数据来优化偏远地区应用的可再生能源系统设计的现实方法。

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