不同容量太阳能热电厂的技术经济比较研究——以喀麦隆北部为例

Biboum Alain Christian, A. Yilanci
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引用次数: 2

摘要

本文的目的是评估不同的太阳能热发电技术在喀麦隆北部的商业用途。为此,一项技术经济研究强调了利用所研究工厂的各种能力设计每种技术。主要目标是制定技术、经济和金融参数,以吸引投资者使用这类技术在这些省份发电[G1],其直接正常辐射估计为2145千瓦时/立方米/年,并满足农村地区电气化率低于10%的人口的能源需求。在本研究中,我们考虑了一些技术参数[G2],如太阳能场接收的年DNI总量、场热输出、热系统传输额定值、总能源效率和年发电量。最后一个参数是对所研究系统进行技术经济分析的关键参数。[G3]在经济分析中发现了投资回收期(PBP)、内部额定收益率(IRR)、净现值(NPV)和平准化电力成本(LCOE)等参数。由于在计算这些参数期间应用了良好的发电,因此可以允许公司获得奖金碳。本研究还考虑了其他参数,如初始投资和政府或金融机构的激励措施。与此目的相关的[G4]环境和社会影响评估(ESIA)优先考虑电网、土地和水的获取以及发电的使用等标准。因此,ESIA研究被认为是多准则决策者的关键参数。研究系统的容量范围从5兆瓦到100兆瓦不等,他们在撒哈拉以南地区[G5]的分析表明,聚光太阳能技术(CST)的装机成本在4550 - 6745美元、5240 - 9365美元和5100 - 6290美元之间,每千瓦时的平电成本在10.22-13.22美元美分、11.07-19.81美元美分和14.63-15.6美元美分之间。太阳塔(ST)和线性菲涅耳(LF)。由于初期投资的原因,10兆瓦[G6] [G7] [G8] e以下的热电厂(TPP)太阳能塔技术与其他技术相比效率不高。重要的是要补充一点,撒哈拉以南地区安装千瓦的成本比订单地区更高[G9],因为运输费用、大量的太阳能热制造商用于隔热和管道系统、金属结构和与总间接成本相关的专业知识,如该地区的工程采购建设和先进的ESIA服务。除了现有的补贴[G10] [G11]之外,金融机构通过CER/TAX和类似方法对此类技术的支持可以大大缩短所研究系统的投资回收期和上网电价(FIT)价格,并通过为投资者创造一个有吸引力的市场来促进该行业的发展[G12]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Techno-Economic Study of Solar Thermal Power Plants with Various Capacities: A Case for the Northern Part of Cameroon
The purpose of this article is to evaluate the commercial use of different solar thermal power technologies in the northern part of Cameroon. For this, a techno-economic study highlighting the design of each technology using various capacities of the studied plant. The main objective was to carry out, technical, economic and financial parameters able to attract investors for the use of such kinds of technology to generate electricity in these provinces [G1] having a good direct normal irradiation estimated at 2145kWh/m 2 /year and meet at the energy demand of population living with less than 10% electrification rate in rural area. During this study, we considered some technical paramet [G2] ers as total annual DNI received by solar field, Field thermal output, thermal system transfer rated, overall energy efficiency and yearly electricity production. The last parameter was a key parameter for techno-economic analysis of the studied system. [G3] Some parameters as the payback period (PBP), internal rated return (IRR), net present value (NPV) and levelized cost of electricity (LCOE) have been found out during the economic analysis. The bonus carbon can be allowed to a company because of the good electricity generation has been applied during the calculation of these parameters. Other parameters as the initial investment and incentives from the government or financial named in this study have been considered also. The [G4] environmental and social impact assessment (ESIA) related to this purpose give a priority to criteria as grid, land and water access and use for electricity generating. Then, the ESIA study has been considered as a key parameter for Multi-Criteria Decision Maker. The studied systems  had various range capacity  starting from 5 MW to 100 MW  and their analysis in the sub-Saharan region [G5] shown that, the cost of installed kW for concentrating solar technologies (CST) varies between 4550 – 6745 US Dollar   ,  5240 – 9365 US Dollar   and 5100 - 6290 US Dollar   and the levelized cost of electricity per kWh varies between 10.22-13.22 USD cents, 11.07-19.81 USD cents and 14.63-15.6 USD cents for Parabolic trough collector(PTC), Solar Tower (ST) and Linear Fresnel (LF) respectively. The solar tower technology can't be efficient compared to other techniques for the thermal power plant (TPP) under 10 MW [G6] [G7] [G8] e due to the initial investment. It important to add this, the cost of installed kW in the sub-Saharan region is higher [G9] than order region because of transportation fees, the lake of solar thermal manufactures for insulation and piping system, metal structure and expertise related to total indirect cost such as engineering procurement construction and advanced ESIA services in this area.  The support of financial institution through CER/TAX and a similar approach in addition to existing subvention [G10] [G11] s for such technology can decrease considerably both payback period and feed-in-tariff (FIT) price of the studied system and contribute to developing the sector [G12] by creating an attractive market for investors.
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