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Assessment of autonomous renewable energy system operability under extreme events and disasters
Sustainable Energy Technologies and Assessments ( IF 8 ) Pub Date : 2021-01-17 , DOI: 10.1016/j.seta.2021.100995
Oscar Espinoza , Abhishek Tiwary

Autonomous, hybrid renewable energy systems (HRES) are increasingly being deployed in geographically challenging terrains, often lacking adequate resilience planning for natural disasters. An assessment framework is developed to evaluate sustainable HRES design for remote off-grid application, ensuring its operability under an extreme event, i.e. its ability to absorb the shock event and continue operating. Optimal HRES configurations are obtained for different extreme events, applying Pareto optimality with key criteria of minimising the number of black outs constrained by Net Present Cost (NPC). The framework is demonstrated for a remote location in Chile. Operability of an HRES under an extreme event is found to involve a trade-off between the investment decision to reduce the vulnerability of RET components and to enhance its energy storage. The optimised HRES is found to be cost-effective for resilience against seasonal events (for flooding and snowstorm the additional NPC is 4.6%, 7.4% respectively) but unsustainable for low probability-high impact events (for earthquakes the additional NPC of 20.5% largely from increase investment in storage capacity). The study also highlights the role of the dispatch strategy in enabling a micro hydro as a secondary storage component for both fulfilling the unmet loads and for charging batteries.



中文翻译:

评估极端事件和灾害下自主可再生能源系统的可操作性

自主的混合可再生能源系统(HRES)越来越多地部署在具有地理挑战性的地形中,通常缺乏针对自然灾害的足够的复原力规划。开发了评估框架来评估用于远程离网应用的可持续HRES设计,以确保其在极端事件下的可操作性,即其吸收冲击事件并继续运行的能力。针对不同的极端事件获得最佳的HRES配置,并应用帕累托最优性和最小化受净现值(NPC)约束的停电次数的关键标准。该框架已在智利的偏远地区演示。发现在极端事件下HRES的可操作性涉及在投资决策之间进行权衡,以降低RET组件的脆弱性并增强其能量存储。发现优化的HRES对于抵御季节性事件具有成本效益(对于洪水和暴风雪,附加的NPC分别为4.6%和7.4%),但是对于低概率高冲击事件却不可持续(对于地震,附加的NPC在很大程度上为20.5%)来自增加存储容量的投资)。这项研究还强调了调度策略在使微型水电作为辅助存储组件来满足未满足的负载和给电池充电中的作用。

更新日期:2021-01-18
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