Data for: Multi-objective Optimisation of Power-to-Mobility in Decentralised Energy Systems

This data represents the input and output data for the optimisation model developed in "Multi-objective Optimisation of Power-to-Mobility in Decentralised Energy Systems". The input data is specific to the case study used in the paper and includes:

1. The electricity and heating loads for each building (please note that although 50 buildings are used in the case study, two-family homes have been grouped together to result in 35 listed in these files) and solar radiation on the rooftop are included for the representative days horizon in "Building Loads Representative days 2018.xls", "Building Loads Representative days 2035.xls" and "Building Loads Representative days 2050.xls"
2. The driving profiles for each vehicle are found in "Charging profiles with driving cycles.xlsx". This includes profiles for the highway, average, and urban cycle profiles with the representative days horizon and the binary to indicate whether or not a vehicle is at home.
3. "Car2building.json" maps each vehicle index to the associated building.
4. "Power limit per building.xlsx" shows the maximum amount of power per building in the case study.
5. "PV Maximum Area per rooftop.xlsx" is the maximum area on each rooftop available for solar PV installation taken from the Sonnendach data set (https://www.uvek-gis.admin.ch/BFE/sonnendach/).
Please note that all other input variables are indicated in Appendix B.

The output data from the optimisation includes three file types for the three years (2018, 2035, and 2050) and for the Pareto optimum solutions and the reference case solutions:
1. "Sizing and Storage Operation" includes the sizing of conversion and storage technologies (sheets "PVCapacity" for PV and "TechCapacity" for all others) and the selection of vehicle technologies (sheet "Car_selection"). The charging, discharging (sheets "ChDsch"), and storage level ("Level") of all storage technologies for each Pareto solution are also included. The discharging of the vehicles back to the buildings is also in ("VBiDi"). This sheet also includes the calculation of the costs ("TechCost") and emissions ("TechCO2")
2. "Conversion Tech and Vehicle Charging" includes the energy consumed by conversion technologies ("InOps") and the energy produced by conversion technologies ("OutOps"). The PV output has its own tab in ("PVOps"). Vehicle charging in the community or at home is performed in ("VCharg") and public charging is performed in ("PCharg").
3. "Export and Import" includes the energy carriers exported ("Export") and imported ("Import") into the system.

本数据集收录了《去中心化能源系统中电力至移动性的多目标优化》一文中开发的优化模型的输入与输出数据。输入数据针对论文中使用的案例研究特定，具体内容如下：

1. 每座建筑的电力和供暖负荷（请注意，尽管案例研究中使用了50座建筑，但两户住宅已被合并，故列出的为35座）以及屋顶上的太阳能辐射数据，包括在“建筑负荷代表性日2018.xls”、“建筑负荷代表性日2035.xls”和“建筑负荷代表性日2050.xls”中的代表性日范围；
2. 每辆车辆的驾驶行为特征可在“Charging profiles with driving cycles.xlsx”中找到。此文件包括高速公路、平均和城市循环的驾驶行为特征，以及代表性日的范围，同时以二进制形式指示车辆是否在家；
3. “Car2building.”将每辆车的索引映射到相应的建筑；
4. “Power limit per building.xlsx”展示了案例研究中每座建筑的最大电力限额；
5. “PV Maximum Area per rooftop.xlsx”提供了每座屋顶上可用于太阳能光伏安装的最大面积，数据来源于Sonnendach数据集（https://www.uvek-gis.admin.ch/BFE/sonnendach/）。
请注意，所有其他输入变量均见附录B。

优化模型的输出数据包括三种文件类型，针对三年（2018年、2035年和2050年）以及帕累托最优解和基准案例解：
1. “Sizing and Storage Operation”文件包含转换和储能技术的规模（如光伏的“PVCapacity”工作表以及所有其他技术的“TechCapacity”工作表）和车辆技术的选择（“Car_selection”工作表）。每个帕累托解的所有储能技术的充电、放电（“ChDsch”工作表）和储能水平（“Level”工作表）也包含在内。车辆的放电回建筑也包含在（“VBiDi”工作表）中。此工作表还包含了成本计算（“TechCost”）和排放计算（“TechCO2”；
2. “Conversion Tech and Vehicle Charging”文件包含转换技术的能耗（“InOps”）和产能量（“OutOps”）。光伏产出的数据在单独的标签页（“PVOps”）中。社区或家庭中的车辆充电在（“VCharg”工作表）中执行，公共充电在（“PCharg”工作表）中执行；
3. “Export and Import”文件包含系统中的出口（“Export”）和进口（“Import”）能源载体。