巴基斯坦低碳低成本电力供应模式

Muhammad Yousif, Q. Ai, M. T. Anwar, Shuangrui Yin, Yang Gao, Ran Hao
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引用次数: 0

摘要

目前,世界各地的发电公司都在向低碳和低成本的发电方式发展。文献支持,与单一类型的可再生能源不同,分散和多类型的可再生能源可以成为低碳低成本电力供应的有希望的解决方案。然而,这些分散的、不同类型的可再生能源在某一地区的最佳组合完全取决于电力负荷概况和自然现象的自然发生。作者模拟了几种可再生能源(如风力涡轮机、太阳能光伏)和能源存储系统(如电池、燃料电池)的组合,为大规模电网供电。提出的模型利用每小时负荷和全年(8760小时)的气象数据计算可再生能源和能源储存所需的组合。作者发现低碳和低成本的组合包含了过剩的发电能力。所提出的案例研究表明,这种过剩的发电能力大约是负荷峰值需求的三倍。这是因为不同类型和过剩的可再生能源发电容量可以用更小的储能来满足负荷,从而降低了系统的总成本。
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Modeling Low Carbon and Low-Cost Electricity Supply for Pakistan
Currently, the electricity generation companies around the world are moving towards low carbon and low-cost generation sources. It is supported by literature that instead of a single type of renewable source located at one place, dispersed and multiple types of the renewable sources can be the promising solution for low carbon and low-cost electricity supply. However, the best combination of these dispersed and different types of renewable sources for a certain area completely depends on the electric load profile and natural occurrences of natural phenomena. Authors model several combinations of renewable sources (e.g. wind turbine, Solar PV) and energy storage systems (e.g. battery, fuel cell) to supply electricity to a large-scale grid. The proposed model calculates the required combination of renewable sources and energy storage using hourly load and meteorological data of a whole year (8760 hours). Authors find out that low carbon and low-cost combinations contain excessive electricity generation capacity. The presented case study shows this excessive generation capacity is about three times the load peak demand. This is because the different types and excessive renewable generation capacity can meet the load using smaller energy storage which lessens the total system cost.
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