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Analyzing sub-optimal rural microgrids and methods for improving the system capacity and demand factors Filibaba microgrid case study examined

机译:分析次优农村微电网和提高系统能力和需求因素的方法筛选筛选

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Solar energy kiosks in developing countries are conunonly designed with battery storage as daytime energy production does not coincide with an evening peak consumption. Curtailment of excess solar energy production can occur when current load and battery storage charging is not high enough during peak solar generation hours. Valuation of the options for coping with this phenomena, after a system is already built, is important for kiosk operators to continue to improve technical and economic performance. Furthermore, little real-world data is available to analyze the extent and impact of this issue, much less the available decisions for the manager of such systems when it occurs. This paper analyzes some of these phenomena and the decisions that kiosk operators can make to improve such performance. Furthermore it analyzes data-sets from a 1.8 kW solar-battery energy kiosk in rural Filibaba, Zambia to determine the level of lost energy production/curtailing that occurred in that system. Finally, potential strategies, including demand response strategies are proposed to both increase as well as shift consumption to daytime hours and ultimately increase the capacity factor of the system. Such strategies could potentially help reduce the lost production of almost 1.7MWh that was witnessed in 11 months of system usage. These strategies could also increase the revenue of the system by approx. USS810 annually. Such strategies include pricing incentives, manual demand response, and system re-design options. In the general context of operations of rural solar kiosks, this work advocates for the need to continuously improve operational as well as hardware strategy based on fieldevidence.
机译:发展中国家的太阳能信息亭是用电池储存的与白天能源生产的牢固设计,并不与晚年峰值消耗一致。当电流负荷和电池存储充电在峰值太阳能发电时间内时,可能会发生多余的太阳能产生。在系统已经建立后,应对这一现象的选项估值,对售货亭运营商继续提高技术和经济表现很重要。此外,很少的现实数据可以分析这个问题的范围和影响,更少在发生这种系统的经理的可用决策。本文分析了这些现象中的一些和售货亭运营商可以提高这种表现的决定。此外,它分析了赞比亚农村菲拉巴农村的1.8千瓦太阳能电池能源亭的数据集,以确定该系统发生的能源生产/缩减水平。最后,提出了潜在的策略,包括需求响应策略,增加到白天时间,并最终增加系统的容量因子。此类策略可能有助于减少在11个月的系统使用中目睹的损失近1.7米。这些策略也可以将系统的收入增加约。 USS810每年。此类策略包括定价激励,手动需求响应和系统重新设计选项。在农村太阳能亭的运营情况下,这项工作倡导需要不断改善基于FieldEdevidence的业务以及硬件策略。

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