当前位置: X-MOL 学术Sustain. Energy Technol. Assess. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Optimization and techno-economic assessment of concentrated solar power (CSP) in South-Western Africa: A case study on Ghana
Sustainable Energy Technologies and Assessments ( IF 7.1 ) Pub Date : 2020-06-17 , DOI: 10.1016/j.seta.2020.100763
Ephraim Bonah Agyekum , Vladimir Ivanovich Velkin

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 ¢/kWh and 14.73 ¢/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 ¢/kWh and 25.83 ¢/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.



中文翻译:

西南非洲集中式太阳能(CSP)的优化和技术经济评估:以加纳为例

本文使用系统顾问模型(SAM)软件评估了两种不同的CSP技术(即太阳能塔(ST)和抛物槽(PT))的技术经济性能,分别在加纳的两个不同位置(Navrongo和Tamale)。从模拟结果来看,在Navrongo和Tamale建模的ST分别记录了13.67¢/ kWh和14.73¢/ kWh的平均能源成本(LCOE)。Tamale和Navrongo所模拟的PT电厂的LCOE也分别为28.83¢/ kWh和25.83¢/ kWh。可以看出,ST的最佳太阳倍数(SM)在1.4到1.9之间,这是因为不同热能存储(TES)期间的最小LCOE在该范围内。对于PT电厂,SM也取决于TES的期限,每个TES的SM范围在2.4到4之间。分析结果表明,ST技术是加纳天气状况的最佳系统。该研究得出的结论是,加纳CSP技术的可融资性取决于项目的财务状况类型。因此,必须有政府的适当政策来帮助其发展。

更新日期:2020-06-17
down
wechat
bug