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Techno-economic data for decentralized energy system sizing for rural areas in Benin. A case study of the village of Fouay.

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doi.org2025-01-21 收录
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http://doi.org/10.17632/rcrgv63wnx.2
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This data article is related to the research article “O.D.T. Odou, R. Bhandari, R. Adamou, Hybrid off-grid renewable power system for sustainable rural electrification in Benin, Renew. Energy. 145 (2020) 1266–1279. doi:10.1016/j.renene.2019.06.032.’’. The data are grouped into 4 categories spread in different worksheets as follow: 1. Resource assessment: The resource assessment comprises the files 1.1.Met_data.xlsx and 1.2. Hydro_Ressource_Modelling.xlsx. The excel worksheet Met_data.xls contains the weather parameters namely: Solar radiation, Wind speed, precipitation and temperature at Kandi and the estimated monthly streamflow data for the hydro site of ‘’sosso’’. Kandi is the nearest station from the village of Fouay. These parameters are daily data with different time range. The sheet Hydro_Ressource_Modelling.xlsx. contains the estimated streamflow of the hydropower site of ‘’Cascade de Sosso’’ as well as the two analogues gauged station streamflow used to perform the estimation. The Couberi gauged station is located at the upstream of Sosso and Gbasse gauged stations at the downstream. 2. Load Assessment The electrical energy demand of the village of Fouay details is provided in the excel worksheet 2. Load.xlsx. The electrical load of the village is classified into three main categories: Household load, Community load, and Commercial load. Some assumptions have been made for seasonal variation of the load profile. Three main season load variation are defined summer, winter low and winter high. For each category of the load demand and seasonal variation, an excel sheet in the worksheet describes them respectively. A summary load sheet is created and the yearly load also. 3. Components costs and specifications The components costs (PV panels, Diesel Generator (DG), Battery, Inverter, Hydro turbine and grid) and specifications are containing in excel worksheet 3. Components_Costs_Specifications.xlsx The step size capacity of PV ARRAY, Converter and DG are in a separate sheet on the worksheet and as well hydro power site details information. 4. Optimization and simulation Under this section three file are generated. The spreadsheet 4.1. HOMER_all_Optimization.xlsx lists all the feasible simulations and the spreadsheet 4.2. HOMER_Categorized_Optimization.xlsx. contains the list of feasible systems according to system type. The above spreadsheets are output retrieved data from HOMER software tools. The third file 4.3. Optimisation_Simulation_Output.xlsx is a retrieved and analyzed data from HOMER software output. It contains monthly electric production of PV/DG/Battery and the system components electric production over a year to meet the load. The month of August in the winter and November in summer are taken to capture the system behaviour to balance the load. Lastly, the survey questionnaire used is provided in the file 5. survey.doc.

本数据文章关联于研究论文《O.D.T. Odou, R. Bhandari, R. Adamou, 比尼尼亚可持续农村电气化的混合离网可再生能源电力系统,Renew. Energy. 145 (2020) 1266–1279. doi:10.1016/j.renene.2019.06.032》。数据被划分为以下四个类别,分别分布在不同的工作表中: 1. 资源评估:资源评估包括文件1.1.Met_data.xlsx和1.2. Hydro_Ressource_Modelling.xlsx。Excel工作表Met_data.xls包含Kandi地区的气象参数,包括太阳辐射、风速、降水量和温度,以及‘Sosso’水力站估算的月流量数据。Kandi是距离Fouay村庄最近的地表站。这些参数为每日数据,具有不同的时间范围。工作表Hydro_Ressource_Modelling.xlsx包含‘Sosso瀑布’水力发电站估算的流量以及用于估算的两个类比流量测站数据。Couberi流量测站位于Sosso上游,Gbasse流量测站位于下游。 2. 负荷评估:Fouay村庄的电力需求详细情况由工作表2. Load.xlsx提供。村庄的电力负荷被分为三大类:家庭负荷、社区负荷和商业负荷。对负荷曲线的季节性变化进行了某些假设。定义了三个主要的季节性负荷变化:夏季、冬季低负荷和冬季高负荷。对于每种负荷需求类别和季节性变化,工作表中的单独电子表格分别描述了它们。创建了一个汇总负荷表以及年度负荷表。 3. 组成部件成本和规格:电子工作表3. Components_Costs_Specifications.xlsx包含了部件成本(光伏板、柴油发电机(DG)、电池、逆变器、水力涡轮机和电网)以及规格。光伏阵列、转换器和DG的步进容量在单独的工作表上,以及水力发电站详细信息。 4. 优化和模拟:本节生成了三个文件。工作表4.1. HOMER_all_Optimization.xlsx列出了所有可行的模拟,工作表4.2. HOMER_Categorized_Optimization.xlsx包含根据系统类型分类的可行系统列表。上述工作表是HOMER软件工具输出的检索数据。第三个文件4.3. Optimisation_Simulation_Output.xlsx是HOMER软件输出数据的检索和分析。它包含了一年内满足负荷需求的PV/DG/电池的月度电力生产以及系统组件的电力生产。在冬季选取了八月,在夏季选取了十一月,以捕捉系统的行为并平衡负荷。 最后,所使用的调查问卷提供在文件5. survey.doc中。
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