Model Code and Data for "High Costs of GHG Abatement with Electrifying the Light-Duty Vehicle Fleet with Heterogeneous Preferences of Vehicle Consumers"

This repository contains the the data and code to recreate the simulations in "High Costs of GHG Abatement with Electrifying the Light-Duty Vehicle Fleet with Heterogeneous Preferences of Vehicle Consumers." The model can be run by calling the bash file in the SLURM environment with parameters set for different scenarios. BEPEAM-E model details: (1) the "Main.gms" file in GAMS format that contains the initiating stage settings with input and main optimization model (2) the "output.gms" file in GAMS format that prepare the output file from BEPAM model. (3) the rest are the intermediate input files for model to generate the input and output files for the model. (4) Four bash files are the script file that call the GAMS model on the HPC that includes both HPC environment and the scenario settings. Four bash files are uploaded corresponding to 4 scenarios

本存储库包含了重构《使用异构的消费者偏好为轻型商用车辆车队电气化减少温室气体排放的高成本》一文中模拟数据与代码。模型可通过在 SLURM 环境中调用相应的 bash 文件运行，并针对不同场景设置参数。BEPEAM-E 模型详细信息如下：(1) 包含初始化阶段设置、输入及主优化模型的 GAMS 格式文件“Main.gms”；(2) 用于从 BEPAM 模型准备输出文件的 GAMS 格式文件“output.gms”；(3) 其余文件为模型生成输入和输出文件的中间输入文件；(4) 四个 bash 文件是脚本文件，用于在超级计算机上调用 GAMS 模型，其中包括 HPC 环境和场景设置。针对四种场景，已上传四个对应的 bash 文件。