Hydrogen Turbines Follow On - Scenario 5 Results Spreadsheet
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Various scenarios for the UK’s power fleet composition in 2030 and 2040 were developed. Dispatch modelling in Plexos was carried out by Baringa on these fleets to investigate the role gas fed plants might have in future. This includes the ability to study load factors, stop/starts etc., and together with concomitant pricing, provide a picture of investment remuneration.The effect of key drivers is studied e.g. gas price. This spreadsheet contains the data supporting the report “Hydrogen Turbines Follow On - Scenario 5 Results Pack - Power sector CCS and H<sub>2</sub> Turbine Asset Modelling”
本研究构建了英国2030年与2040年电力装机结构的多组情景。巴林加(Baringa)针对上述装机情景,采用电力调度建模软件Plexos开展调度建模分析,以探究燃气发电厂在未来电力系统中的角色定位。该建模可实现机组负荷率、启停频次等参数的分析,并结合配套电价水平,清晰呈现投资回报情况。研究同时分析了天然气价格等核心影响因素的作用效果。本数据集文件包含支撑下述报告的相关数据:"Hydrogen Turbines Follow On - Scenario 5 Results Pack - Power sector CCS and H₂ Turbine Asset Modelling"
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ETI创建时间:
2020-09-22
搜集汇总
背景与挑战
背景概述
该数据集是“Hydrogen Turbines Follow On - Scenario 5 Results Spreadsheet”,包含英国2030年和2040年电力车队组合情景的调度建模结果,重点研究燃气电厂在未来电力系统中的角色,分析负荷因子、启停次数及投资回报,并探讨天然气价格等关键驱动因素的影响,以支持相关研究报告。
以上内容由遇见数据集搜集并总结生成



