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Integrating End-User and Grid Focused Batteries and Long-Term Power-to-Gas Storage for Reaching a 100 Renewable Energy Supply

机译:集成最终用户和以电网为重点的电池以及长期的气-气存储,以实现100%可再生能源的供应

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This paper presents results of modelling cost optimised electricity generation systems for renewable energy sharesrnvarying from 0 % to 100 % on an hourly timescale. The model takes into account generation from solar photovoltaicsrn(PV), wind, hydro, biogas and natural gas fuelled power plants. Storage is incorporated as short-term storage inrnbatteries and biogas bladders and long-term storage via renewable power methane (RPM) and biomethane. Gridparityrnenabled PV-battery systems are taken into account to model electricity end-user behaviour. We use localisedrnhourly solar insolation, wind and hydro power output, and electricity demand data. Results include optimumrncomponent sizing as well as levelised cost of electricity (LCOE). Impacts of changing storage technology prices arerninvestigated.
机译:本文介绍了针对每小时可再生能源份额从0%到100%变化的成本优化发电系统建模的结果。该模型考虑了太阳能光伏,风能,水力,沼气和天然气发电厂的发电。储存被合并为短期储存电池和沼气罐,并通过可再生能源甲烷(RPM)和生物甲烷进行长期储存。考虑了启用电网奇偶校验的光伏电池系统来模拟电力最终用户的行为。我们使用本地化的日照时间,风力和水力发电量以及电力需求数据。结果包括最佳的组件大小以及平均的电费(LCOE)。研究了不断变化的存储技术价格的影响。

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