Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1080/01430750.2021.1909130 |
An optimal arrangement for photovoltaic/diesel/battery management system applying Crow Search Algorithm: a case of Namib Desert | |
Chen, Liang; Wang, Si; Yousefi, Nasser | |
通讯作者 | Chen, L (corresponding author), Jiangxi Univ Sci & Technol, Coll Appl Sci, Ganzhou, Peoples R China. |
来源期刊 | INTERNATIONAL JOURNAL OF AMBIENT ENERGY
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ISSN | 0143-0750 |
EISSN | 2162-8246 |
出版年 | 2021 |
英文摘要 | Renewable energy sources play a crucial role in energy production due to the rapidly declining and depletion of conventional energy sources. Solar energy is one of the main sources that have the potential to deal with energy crises to some extent. However, this resource is not very reliable due to its unpredictable nature, while the use of it along with the battery system and diesel system seems to be complementary, more reliable, and cost-effective. This leads this study to propose an optimal hybrid system to provide energy load demand of a rural area in the Namib Desert. The idea is to minimise the CO2 emissions value, the yearly expense of the system, and the loss of load probability (LOLP). The epsilon-constraint technique along with an enhanced version of the Crow Search Algorithm (CSA) method is opposed to minimisation. After algorithm validation, the optimised system is compared with two methods, HOMER and PSO-based methods from the literature to indicate the effectiveness of the method. The results showed that based on the suggested MCSA, the minimum value of Co-2 emissions, 1728 kg/yr with 23,795 kWh/yr total production has been achieved. Also, it is declared that the proposed method gives the minimum fuel consumption with 770 L/yr that show the superiority of the proposed method toward others. |
英文关键词 | Namib Desert multi-criteria optimisation hybrid sustainable energy system epsilon-constraint modified Crow Search Algorithm sensitivity analysis |
类型 | Article ; Early Access |
语种 | 英语 |
收录类别 | ESCI |
WOS记录号 | WOS:000654115400001 |
WOS关键词 | HYBRID ENERGY SYSTEM ; OPTIMIZATION ALGORITHM ; CHAOS OPTIMIZATION ; FEATURE-SELECTION ; FORECAST ENGINE ; COST ; PREDICTION ; OPERATION ; VARIABLES ; DESIGN |
WOS类目 | Energy & Fuels |
WOS研究方向 | Energy & Fuels |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/353018 |
作者单位 | [Chen, Liang; Wang, Si] Jiangxi Univ Sci & Technol, Coll Appl Sci, Ganzhou, Peoples R China; [Yousefi, Nasser] Islamic Azad Univ, Sci & Res Branch, Tehran, Iran |
推荐引用方式 GB/T 7714 | Chen, Liang,Wang, Si,Yousefi, Nasser. An optimal arrangement for photovoltaic/diesel/battery management system applying Crow Search Algorithm: a case of Namib Desert[J],2021. |
APA | Chen, Liang,Wang, Si,&Yousefi, Nasser.(2021).An optimal arrangement for photovoltaic/diesel/battery management system applying Crow Search Algorithm: a case of Namib Desert.INTERNATIONAL JOURNAL OF AMBIENT ENERGY. |
MLA | Chen, Liang,et al."An optimal arrangement for photovoltaic/diesel/battery management system applying Crow Search Algorithm: a case of Namib Desert".INTERNATIONAL JOURNAL OF AMBIENT ENERGY (2021). |
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