Illinois Data Bank - Dataset

Model Code and Data for "High Costs of GHG Abatement with Electrifying the Light-Duty Vehicle Fleet with Heterogeneous Preferences of Vehicle Consumers"
Cite this dataset:
Zhong, Jia; Khanna, Madhu; Ramea, Kalai (2024): Model Code and Data for "High Costs of GHG Abatement with Electrifying the Light-Duty Vehicle Fleet with Heterogeneous Preferences of Vehicle Consumers". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4125160_V1
Dataset Description

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

Subject Life Sciences
Keywords BEPAM; Greenhouse Gases; Light-Duty Vehicles; Economics
License CC BY
Funder U.S. Department of Energy (DOE)-Grant:DE-SC0018420
Corresponding Creator Madhu Khanna
Downloaded 61 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-4125160_V1 2024-05-30

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Dataset update: {"description"=>["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.\"\r\n\r\nThe model can be run by calling the bash file in the SLURM environment with parameters set for different scenarios.\r\n\r\nBEPEAM-E model details:\r\n(1) the \"Main.gms\" file in GAMS format that contains the initiating stage settings with input and main optimization model\r\n(2) the output.gms file in GAMS format that prepare the output file from BEPAM model.\r\n(3) the rest are the intermediate input files for model to generate the input and output files for the model.\r\n(4) Four bash files are the script file that calls the GAMS model on the HPC that includes both HPC environment and the scenario settings. Four bash files are uploaded corresponding to 4 scenarios.\r\n(5) This readme file", "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.\"\r\n\r\nThe model can be run by calling the bash file in the SLURM environment with parameters set for different scenarios.\r\n\r\nBEPEAM-E model details:\r\n(1) the \"Main.gms\" file in GAMS format that contains the initiating stage settings with input and main optimization model\r\n(2) the \"output.gms\" file in GAMS format that prepare the output file from BEPAM model.\r\n(3) the rest are the intermediate input files for model to generate the input and output files for the model.\r\n(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\t"]} 2024-06-13T14:10:13Z
Dataset update: {"version_comment"=>[nil, ""], "subject"=>[nil, "Life Sciences"]} 2024-05-30T15:09:52Z