基于负荷需求热建模的伊朗Golpayegan光伏系统的最优规模

A. Zare, M. Iqbal
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引用次数: 2

摘要

本文介绍了为伊朗Golpayegan一户住宅供电的光伏系统的设计与分析。本文的程序是利用BEopt软件对房屋进行热建模,估算负荷数据,然后收集选定地点的太阳辐照度和温度等主要气象数据。在这些初步步骤之后,使用HOMER软件对光伏/电网和光伏/柴油/电池模型进行系统优化。优化发现,光伏阵列所需容量分别为5.17 kW和6.19 kW,独立光伏系统和并网光伏系统的发电量分别为9346 kWh/年和11196 kWh/年。结果表明,太阳能利用是并网和独立光伏系统的一个有吸引力的选择,每个系统的净当前成本(NPC)分别为12,180美元和40,618美元。系统分析表明,采用光伏/电网或光伏/柴油/电池系统不仅可以减少对化石燃料的依赖,还可以减少二氧化碳的排放。
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Optimal Sizing of a PV System in Golpayegan, Iran Using Thermal Modeling-based Load Demand
This paper introduces the design and analysis of a Photovoltaic (PV) system to supply the residential load of a house in Golpayegan, Iran. The paper’s procedure is the house's thermal modeling employing BEopt software to estimate the load data and then collect the primary meteorological data such as solar irradiance and temperature for the selected site. After these preliminary steps, system optimization for PV/grid and PV/diesel/battery models are developed using the HOMER software. The optimization found that the PV array required capacities are 5.17 kW and 6.19 kW, producing 9,346 kWh/yr and 11,196 kWh/yr for standalone and grid-connected PV systems, respectively. The results indicate that solar energy utilization is an attractive option for grid-connected and standalone PV systems, of which the net present costs (NPC) of each system are 12,180 US$, 40,618 US$, respectively. The system analyses show that adopting either a PV/grid or PV/diesel/battery system causes a reduction in not only dependency on fossil fuel but also in CO2 emission.
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