ABSTRACT

Renewable energy systems are the promising source of future sustainable energy. Presently, energy systems based on hybrid renewables sources are lucrative and have a negligible carbon footprint. These types of systems are evolving as a progressively successful choice for the rural areas especially the accessibility of energy from the grid is poor. This study exhibits optimum design, sizing, and economic feasibility of PV- and diesel-based renewable energy systems. Particular environmental conditions, specifications of the system, and daily energy requirement data of the specific site in the San Joaquin Valley, CA, USA are carried out in order to validate the water required for the reference crop. The crop has different development stages, and it requires a different amount of water for each stage. In addition to water demand, which is our irrigation load, farmland residential energy requirements were also considered. Six distinctive ideal setups, viz. PV/battery, PV/diesel and battery, wind/battery, PV/wind/Diesel generator & battery, wind/PV/battery and Diesel generator were thoroughly examined in respect of net present cost (NPC) and cost of energy (COE) to decide most financially appropriate choice. For financial investigation and viable sizing, all the essential simulations are done utilizing the HOMER software (Hybrid Optimization Model for Electric Renewable) programming. Results obtained from simulations depict that PV/diesel/battery is the optimum arrangement for the particular site. The purpose of this work lies in utilizing the tools from HOMER and successively to do technical as well as economical investigation in addition to environmental aspects of a proposed Hybrid Renewable Energy System.

摘要

可再生能源系统是未来可持续能源的有前途的来源。目前，基于混合可再生能源的能源系统利润丰厚，而且碳足迹可以忽略不计。这些类型的系统正在发展成为农村地区逐渐成功的选择，尤其是电网能源的可及性较差。本研究展示了基于光伏和柴油的可再生能源系统的最佳设计、尺寸和经济可行性。执行美国加利福尼亚州圣华金谷特定地点的特定环境条件、系统规格和每日能源需求数据，以验证参考作物所需的水。作物有不同的发育阶段，每个阶段需要的水量也不同。除了对水的需求，这是我们的灌溉负荷，农田住宅能源需求也被考虑在内。六个独特的理想设置，即。PV/电池、PV/柴油和电池、风/电池、PV/风/柴油发电机和电池、风/光伏/电池和柴油发电机在净现值 (NPC) 和能源成本 (COE) 方面进行了彻底检查决定经济上最合适的选择。对于财务调查和可行的规模调整，所有必要的模拟都是利用 HOMER 软件（电力可再生混合优化模型）编程完成的。从模拟中获得的结果表明，光伏/柴油/电池是特定场地的最佳布置。