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Solar Photovoltaic Regional Costs

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datasource.kapsarc.org2017-02-27 更新2025-01-21 收录
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https://datasource.kapsarc.org/explore/dataset/gcc-solar-photovoltaic-regional-costs-1983-2015/
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Solar Photovoltaic DatasetThe solar industry has witnessed remarkable declines in of costs during the past 25 years for a number of reasons including technological advancements and industry expansion. The benchmark component that is typically referred to when reporting cost trends is the solar module and many institutions publish the global average selling price for the modules on a regular basis.Indeed, the module price serves as a good indicator of developments in the solar industry and technology. However, the module price is unable to capture regional differences that arise when building solar PV systems. Variations in labor costs, legal costs, taxes and cost of capital between countries are some of the reasons why the same plant would have very different costs when built in different places. The same also applies to the levelized cost of energy; solar conditions as well as maintenance costs vary across countries, which result in different operational costs. The variations in capital expenditure and operational costs between countries become even more pronounced when considering the size of the installed system.To capture regional differences in capital and generation costs, we have compiled a large collection of data across many geographies for the three typical system sizes (i.e. residential, commercial, and utility). The costs are provided and accompanied by the assumptions that were used to arrive at these actual costs including interest rates, solar irradiation, technology type, etc, where these assumptions are given in the source.This dataset was used to build our interactive tool published on website https://www.kapsarc.org/openkapsarc/kapsarc-solar-photovoltaic-toolkit/  Users can compare the costs in a variety of ways depending on the filters that are used. For instance, a user can see how generation costs change if the financial assumptions are altered. For this reason, the Toolkit provides an excel-based Analyzing Tool to aid in experimenting and evaluating different scenarios. The raw data is also provided if a user is interested in performing further analysis. To summarize, this tool kit provides the following:1.A spatial (map-based) interactive representation of CAPEX2.A spatial (map-based) interactive representation of LCOE3.A scatter chart interactive representation of CAPEX4.A scatter chart interactive representation of LCOE5.An interactive bar chart for annual global solar PV installations6.An interactive bar chart for cumulative global solar PV installations7.An LCOE Analyzer that attains the LCOE via capacity factor or solar irradiation

太阳能光伏数据集 太阳能产业在过去25年间,由于技术进步和行业扩张等多重原因,成本经历了显著的下降。在报告成本趋势时,通常所指的基准组件为太阳能电池板,众多机构定期公布全球平均销售价格。事实上,电池板价格是太阳能产业和技术发展的良好指标。然而,电池板价格无法捕捉到在构建太阳能光伏系统时产生的区域差异。劳动力成本、法律成本、税收以及资本成本在国家间的差异是导致同一工厂在不同地方建设时成本差异极大的原因之一。同样的情况也适用于能源平准化成本;太阳能条件以及维护成本在不同国家之间存在差异,从而导致了不同的运营成本。当考虑到安装系统的规模时,国家间资本支出和运营成本的变化更为显著。为了捕捉资本和发电成本的区域差异,我们收集了大量跨地域数据,涵盖了三种典型的系统规模(即住宅、商业和公用事业)。成本数据提供的同时,亦附带用于得出这些实际成本所使用的假设,包括利率、太阳能辐射、技术类型等,这些假设在数据源中均有说明。本数据集被用于构建我们发布在网站https://www.kapsarc.org/openkapsarc/kapsarc-solar-photovoltaic-toolkit/上的交互式工具。用户可以根据所使用的筛选条件以多种方式比较成本。例如,用户可以看到如果财务假设被改变,发电成本将如何变化。因此,工具包提供了一个基于Excel的分析工具,以帮助进行实验和评估不同场景。若用户有兴趣进行进一步分析,原始数据亦一并提供。总结而言,本工具包提供了以下功能:1. 基于地图的空间交互式展示资本支出(CAPEX)2. 基于地图的空间交互式展示平准化能源成本(LCOE)3. 基于散点图的交互式展示资本支出4. 基于散点图的交互式展示平准化能源成本5. 年度全球太阳能光伏安装量的交互式柱状图6. 累计全球太阳能光伏安装量的交互式柱状图7. 通过容量系数或太阳能辐射获取平准化能源成本的LCOE分析器。
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