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Optimal component configuration and capacity sizing of a mini integrated power supply system

机译:迷你集成电源系统的最佳分量配置和容量尺寸

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This paper presents a study on the viability of a hybrid electric system as a power supply option for a university campus community. An energy audit of the campus was carried out and an optimum configuration and sizing of a hybrid system for the community was achieved through a simulation in which hybrid optimization model for electric renewables (HOMER) software is employed. Sources considered in the hybridization are a diesel engine generator, solar photovoltaic, wind energy, and a battery energy storage system. Descriptions of each of these components, resource specifications, as well as installation, operating, and maintenance costs, along with the project's lifespan, are supplied as input parameters. From the energy profiling, a daily peak power requirement of 1,750.37 kW was obtained for the campus, with an estimated daily peak consumption of 13,981.10 kWh and a yearly peak consumption of 3,509,530.88 kWh. Sensitivity analysis of the system showed that, out of 60 possible options, a hybrid configuration composed of a diesel engine generator/battery energy storage system (DEG/BESS) has the optimum advantage based on the techno-economic implications. With its total initial capital investment of $285,940; per year operating cost of $429,315; lowest net present cost of $4,868,783 and $0.469/kWh energy cost, the winning configuration compares favorably with the diesel engine generator (DEG)-only option that is currently in use on the campus. However, the runner-up to the optimal option is a diesel engine generator/solar photovoltaic/battery energy storage system (DEG/PV/BESS) hybrid, which has inherent potential for more enhanced overall performances, as its two energy sources complement each other. The runner-up option could, therefore, be more reliably adopted as the most feasible and affordable electricity backup solution for the campus community.
机译:本文介绍了混合动力电力系统作为大学校园社区的电源选择的研究。进行了校园的能量审核,通过模拟实现了社区混合动力系统的最佳配置和尺寸,其中采用了电动再生能源(HOMER)软件的混合优化模型。在杂交中考虑的来源是柴油发动机发生器,太阳能光伏,风能和电池储能系统。这些组件,资源规范以及安装,操作和维护成本以及项目的寿命的描述都作为输入参数提供。从能量分析中,为校园获得了1,750.37千瓦的每日峰值功率要求,估计每日峰值消耗13,981.10千瓦时,每年峰值消费量为3,509,530.88千瓦时。系统的敏感性分析表明,除了60种可能的选择中,由柴油发动机发生器/电池储能系统(DEG / BESS)组成的混合配置基于技术经济含义,具有最佳的优势。其初始资本投资总额为285,940美元;每年运营费用为429,315美元;最低净额的净成本为4,868,783美元和0.469美元/千瓦时的能源成本,获奖配置与目前正在使用的柴油发动机发电机(DEG)-Only选项有利地比较。但是,最佳选择的亚军是柴油发动机发电机/太阳能光伏/电池储能系统(DEG / PV / BESS)混合动力,其具有更高的整体性能的固有潜力,因为它的两个能源彼此相互补充。因此,亚军选项可以更加可靠地采用校园社区最可行和负担得起的电力备份解决方案。

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