屋顶太阳能的技术和经济潜力:泰国南邦拉贾巴特大学案例研究

Q4 Social Sciences
W. Wongwan, N. Pleerux, Thanomsat, S. Moukomla
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引用次数: 0

摘要

本文对太阳能屋顶的潜力进行了评估,并分析了为南邦拉贾巴特大学的建筑物投资屋顶光伏系统的可行性。ArcGIS 太阳辐射分析工具用于绘制太阳辐射图。然后,通过项目分析和评估,考虑净现值(NPV)、内部收益率(IRR)和投资回收期(PB)等因素,利用得出的太阳辐射量值评估投资屋顶光伏(PV)系统的可行性。分析结果表明,23 栋建筑可以安装太阳能屋顶,4106 块太阳能电池板将覆盖屋顶面积的 8.29%。朝南的斜面屋顶具有较高的太阳辐射量;然而,坡度大于 40° 的斜面会降低辐射量。在平屋顶上安装太阳能电池板,朝南且倾斜度约为 15°,效果较好。将 PV 电位值与 PV 输出值进行比较后,发现两者之间存在 0.19% 的差异。我们对光伏潜力区的光伏潜力值进行调整后,确定太阳能潜力为每年 1,540,389.14 千瓦时。这一潜力可使大学的总电费降低 42.73%。此外,该系统的财务和环境分析表明,贴现 PB 为 9 年零 6 个月,每年可减少 791.44 吨二氧化碳当量。这些研究结果可用于指导大学制定有关安装屋顶光伏系统的政策,减少化石燃料消耗,增加自产清洁能源。这些指标是该大学迈向绿色大学和实现可持续发展目标的重要里程碑
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Technical and Economic Potential of Solar Energy on Rooftops: A Case Study at Lampang Rajabhat University, Thailand
This paper presents an assessment of the potential of solar rooftops, and an analysis of the feasibility of investing in rooftop photovoltaic systems for the buildings at Lampang Rajabhat University. The ArcGIS solar radiation analysis tool was used to prepare the solar radiation maps. The derived solar radiation values were then used to evaluate the viability of investing in rooftop photovoltaic (PV) systems, considering factors that included Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period (PB) through project analysis and evaluation. According to the analysis, 23 buildings could be fitted with a solar rooftop, and 4,106 solar panels would cover 8.29% of the roof area. Southerly oriented pitched roofs had high solar radiation; nevertheless, slopes steeper than 40° reduced the radiation. Flat roofs with solar panels that were oriented southward and inclined at around 15° were found to be effective. When the PV-potential value was compared with the PV output value, a 0.19% difference between the values was observed. After we adjusted the PV-potential value in the PV-potential areas, the solar energy potential was determined to be 1,540,389.14 kWh per year. This potential could result in a 42.73% reduction in the total electricity cost at the university. Furthermore, the system’s financial and environmental analyses revealed that the discounted PB would be 9 years and 6 months, with a reduction of 791.44 tCO 2 eq/year. These findings could be used to guide the university in developing a policy about the installation of a rooftop PV system, reduce fossil fuel consumption, and increase self-generated clean energy. These indicators are critical milestones for the university toward becoming a green university and achieving the Sustainable Development Goals
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来源期刊
International Journal of Geoinformatics
International Journal of Geoinformatics Social Sciences-Geography, Planning and Development
CiteScore
1.00
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