Simulation Results and GIS Maps for Visualizing the Impact of Photovoltaic Cell Temperature on Electricity Production under Various Global Climates

This data repository contains the raw simulation results and the GIS maps for visualizing the simulation results for the study on how cell temperature affects photovoltaic power generation at a global scale. The full paper that includes the assumptions, research method, data analysis, and conclusion of the study has been accepted for publication at the SimBuild 2026 Conference.

Article info:
Wu, C. (2026). Simulating the Impact of Photovoltaic Cell Temperature on Electricity Production under Various Global Climates. In Proceedings of SimBuild Conference.

Dataset Structure:
1. Raw Simulation Results
This folder contains six .csv files for six continents. Each file contains 21 columns/fields. The description of the headers is shown below.
[Station] - Name of the weather station
[State/region] - The region, province, or state the weather station is located in
[Country] - The country code of the weather station is located
[Station ID] - The six-digit weather station ID
[Latitude] - Latitude of the weather station
[Longitude] - Longitude of the weather station
[Tilt Angle] - Tilt angle of the PV panel in the simulations. 0 degree denotes flat installation on the roof, 90 degrees denotes vertical installation facing south, and -90 degrees denotes vertical installation facing north
[Annual_Simple] - Annual photovoltaic electricity production in Wh/m^2, simulated with the Simple Model
[Annual_Temp] - Annual photovoltaic electricity production in Wh/m^2, simulated with the cell temperature-aware model
[S_1] to [S_12] - Monthly photovoltaic electricity production in Wh/m^2, simulated with the Simple Model. The numbers denote the month, i.e., 1 denotes January, 2 denotes February, and so on
[T_1] to [T_12] - Monthly photovoltaic electricity production in Wh/m^2, simulated with the cell temperature-aware model. The numbers denote the month, i.e., 1 denotes January, 2 denotes February, and so on

2. GIS Maps
[PV_byTemp.qgz] - a QGIS file that contains the color-coded world maps by difference in PV electricity production.
The rest of the files in the folder are support files for the QGIS file, such as shape files, image files, and CSV files for the color-coding, etc.

本数据集仓库包含一项全球尺度下光伏（Photovoltaic, PV）电池温度如何影响光伏发电量研究的原始仿真结果与用于可视化该仿真结果的地理信息系统（Geographic Information System, GIS）地图。本研究包含研究假设、研究方法、数据分析与结论的完整论文已被SimBuild 2026会议收录并即将发表。

论文信息：
吴, C. (2026). 全球不同气候下光伏电池温度对发电量影响的仿真研究. 载于SimBuild会议论文集.

数据集结构：
1. 原始仿真结果
该文件夹包含涵盖六大洲的6个.csv格式文件，每个文件包含21个列字段。表头说明如下：
[Station]：气象站名称
[State/region]：气象站所属的地区、省份或州
[Country]：气象站所在国家代码
[Station ID]：六位数字的气象站编号
[Latitude]：气象站纬度
[Longitude]：气象站经度
[Tilt Angle]：仿真中光伏面板的安装倾角：0°表示屋顶平铺安装，90°表示朝南垂直安装，-90°表示朝北垂直安装
[Annual_Simple]：采用简易模型（Simple Model）仿真得到的年度光伏发电量，单位为Wh/m²
[Annual_Temp]：采用考虑电池温度的模型仿真得到的年度光伏发电量，单位为Wh/m²
[S_1]~[S_12]：采用简易模型仿真得到的月度光伏发电量，单位为Wh/m²，后缀数字代表对应月份，即1为1月，2为2月，依此类推
[T_1]~[T_12]：采用考虑电池温度的模型仿真得到的月度光伏发电量，单位为Wh/m²，后缀数字代表对应月份，即1为1月，2为2月，依此类推

2. GIS地图
[PV_byTemp.qgz]：QGIS格式文件，包含基于光伏发电量差值的分级着色世界地图。
该文件夹内其余文件均为该QGIS文件的配套支持文件，包括形状文件、图像文件、用于分级着色的CSV文件等。