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孟加拉国博拉县南萨库西亚联盟太阳能组件配置与跟踪系统的比较分析:基于软件的分析,以提高发电量

Comparative analysis of solar module configuration and tracking systems for enhanced energy generation in South Sakucia Union, Bhola, Bangladesh: A software based analysis.

作者信息

Oyshei Kashfia Rahman, Hasan K M Sazid, Sadat Nazmus, Hoque Md Ashraful

机构信息

Department of EEE, Islamic University of Technology, Gazipur, Bangladesh.

出版信息

Heliyon. 2024 Jul 2;10(13):e33884. doi: 10.1016/j.heliyon.2024.e33884. eCollection 2024 Jul 15.

DOI:10.1016/j.heliyon.2024.e33884
PMID:39071609
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11283007/
Abstract

Bangladesh is blessed with an extensive range of solar energy generation possibilities; however, the primary impediment to attaining its full potential in the solar energy industry is the inadequate budget in the energy sector. As a result, determining the most economical and efficient solar module configuration for each specific scenario has become a critical necessity. This study offers a comprehensive techno-economic analysis and environmental impact assessment of four distinct solar modules: monofacial, bifacial, dual-axis solar tracker, and seasonal tilt solar module, in an open area of South Sakucia Union, Bhola district, in the southwest part of Bangladesh. By integrating energy-generation capabilities, financial metrics, and environmental benefits, this research provides a holistic evaluation framework to ensure optimal economic performance and minimal adverse environmental effects for sustainable solar solutions in Bangladesh. Utilizing PV*SOL, PVsyst, and System Advisor Model (SAM) software, this study assesses energy-generation capabilities and economic viability. Despite the dual-axis solar tracker exhibiting the highest average energy generation (149,070.3 kWh/year), its higher initial cost renders it less financially viable compared to other configurations. Financial metrics reveal that the seasonal tilt configuration is the most cost-efficient, with the lowest Levelized Cost of Electricity (LCOE) at $0.0452/kWh and the highest Net Present Value (NPV) of $52,887.70. Additionally, it has the shortest Discounted Payback Period (DPBP) at 12.69 years, a favorable Internal Rate of Return (IRR) of 9.460 %, and a Profitability Index (PI) of 1.459, indicating robust returns on investment. These findings emphasize the importance of considering both energy-generation capabilities and financial metrics when evaluating solar module configurations in the southern part of Bangladesh, serving as a valuable reference for policymakers. Moreover, meticulous environmental impact assessments assist in choosing configurations with minimal adverse effects on the environment.

摘要

孟加拉国拥有广泛的太阳能发电潜力;然而,在太阳能产业充分发挥其潜力的主要障碍是能源部门预算不足。因此,为每种特定情况确定最经济高效的太阳能组件配置已成为一项关键需求。本研究对孟加拉国西南部博拉区南萨库西亚联盟的一片开阔区域内的四种不同太阳能组件进行了全面的技术经济分析和环境影响评估,这四种组件分别是单面、双面、双轴太阳能跟踪器和季节性倾斜太阳能组件。通过整合发电能力、财务指标和环境效益,本研究提供了一个全面的评估框架,以确保孟加拉国可持续太阳能解决方案的最佳经济性能和最小的负面环境影响。本研究利用PV*SOL、PVsyst和系统顾问模型(SAM)软件评估发电能力和经济可行性。尽管双轴太阳能跟踪器的年平均发电量最高(149,070.3千瓦时/年),但其较高的初始成本使其在财务上不如其他配置可行。财务指标显示,季节性倾斜配置是最具成本效益的,其平准化度电成本(LCOE)最低,为0.0452美元/千瓦时,净现值(NPV)最高,为52,887.70美元。此外,它的贴现回收期(DPBP)最短,为12.69年,内部收益率(IRR)良好,为9.460%,盈利能力指数(PI)为1.459,表明投资回报率可观。这些发现强调了在评估孟加拉国南部太阳能组件配置时同时考虑发电能力和财务指标的重要性,为政策制定者提供了有价值的参考。此外,细致的环境影响评估有助于选择对环境负面影响最小的配置。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f4/11283007/6de66f0c30c9/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f4/11283007/86c003cc48d9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f4/11283007/87fa6af64cde/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f4/11283007/67f1bd17aa73/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f4/11283007/2037f69e53b0/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f4/11283007/e117978294b2/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f4/11283007/e22df4f636e5/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f4/11283007/1ec3491edc6e/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f4/11283007/0299c04753a1/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f4/11283007/8f330f41c805/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f4/11283007/69eba43ef218/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f4/11283007/7a185feb3883/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f4/11283007/dc05b6d1dc13/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f4/11283007/a0fa56dc2253/gr15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f4/11283007/7172371d06b5/gr16.jpg

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