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

机译:小型集成电源系统的最佳组件配置和容量确定

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摘要

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:本文对混合动力系统作为大学校园社区供电选择的可行性进行了研究。对校园进行了能源审计,并通过模拟(采用了可再生能源的混合优化模型(HOMER)软件)进行了仿真,从而为社区实现了混合系统的最佳配置和规模。混合动力中考虑的来源是柴油发动机发电机,太阳能光伏,风能和电池储能系统。作为输入参数,提供了每个组件的描述,资源规格以及安装,运行和维护成本以及项目的寿命。从能源配置文件中可以得出,该园区的每日峰值功率需求为1,750.37 kW,估计每日峰值消耗为13,981.10 kWh,年峰值消耗为3,509,530.88 kWh。该系统的灵敏度分析表明,在60种可能的选项中,由柴油发动机发电机/电池储能系统(DEG / BESS)组成的混合动力配置具有技术经济意义上的最佳优势。初始投资总额为285,940美元;每年的运营成本为429,315美元;目前的最低净现成本为4,868,783美元,能源成本为0.469美元/千瓦时,与目前仅在校园内使用的仅柴油发动机发电机(DEG)选件相比,获胜配置具有优势。然而,获得最佳选择的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,由于其两种能源相互补充,因此具有内在的潜力,可以提高整体性能。因此,亚军选项可以更可靠地用作校园社区最可行,最经济实惠的电力备份解决方案。

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