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Optimization and techno-economic assessment of concentrated solar power (CSP) in South-Western Africa: A case study on Ghana

机译:非洲西南集中太阳能(CSP)的优化与技术经济评估 - 以加纳为例

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摘要

The techno-economic performance of two different CSP technologies i.e. Solar tower (ST) and parabolic trough (PT) were evaluated in this paper, each at two different locations in Ghana (Navrongo and Tamale) using the System Advisor Model (SAM) software. From the simulated results, levelized cost of energy (LCOE) of 13.67 cent/ kWh and 14.73 cent/kWh were recorded for the ST modelled at Navrongo and Tamale, respectively. The PT power plant simulated at Tamale and Navrongo also recorded an LCOE of 28.83 cent/kWh and 25.83 cent/kWh, respectively. It was observed that, the optimum solar multiple (SM) for the ST ranges between 1.4 and 1.9, this is because the least LCOEs for the different thermal energy storage (TES) periods are within that range. In the case of the PT power plants, the SM also depends on the period of the TES and each TES has a distinct SM ranging between 2.4 and 4. Results from the analysis suggests that the ST technology is the optimal system for the Ghanaian weather conditions. The study concludes that the bankability of CSP technology in Ghana depends on the type of financial conditions for the project. Therefore, appropriate policies from government are necessary to help in their development.
机译:两种不同的CSP技术的技术经济性能I.E.S太阳能塔(ST)和抛物线槽(PT)在本文中评估,每个在加纳(Navrongo和Tamale)的两个不同地点使用系统顾问模型(SAM)软件。从模拟结果中,分别在Navrongo和Tamale的ST模型中记录了13.67美分/千瓦时的能量(LCoE)的稳定成本13.67美分/千瓦时。在Tamale和Navrongo模拟的PT发电厂还记录了28.83美分/千瓦时的LCOE和25.83美分/千瓦时。观察到,在1.4和1.9之间的ST范围的最佳太阳倍数(SM),这是因为不同热能存储(TES)周期的最少的LCOES在该范围内。在PT发电厂的情况下,SM也取决于TES的周期,并且每个TES在2.4和4之间具有不同的SM范围。分析的结果表明,ST技术是加纳天气条件的最佳系统。该研究得出结论,加纳CSP技术的自行性能取决于项目的财务状况类型。因此,政府的适当政策是有助于帮助发展的必要条件。

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