Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.9%) to scientific vocabulary
Last synced: 9 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: mcsc-impact-climate
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 41 KB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created over 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

DOI

Analysis of PepsiCo Data from the NACFE Trucking Pilot

This repo contains some code to extract the following operational parameters for PepsiCo's Tesla Semi pilot in California using data published here by NACFE from their 2023 Run On Less pilot: * Charging power * Extrapolated battery capacity * Extrapolated truck range * Energy consumed per mile * Charging time * Depth of discharge * Drive cycles

Download the NACFE Run on Less Data

bash mkdir tmp wget https://runonless.com/wp-content/uploads/ROL23-Web-data.zip -O tmp/RoL_Data.zip unzip tmp/RoL_Data.zip -d tmp/RoL_Data mv tmp/RoL_Data/"ROL23 Web data"/*.csv data rm -r tmp

Run the analysis

Download needed python packages

bash pip install -r requirements.txt

Execute the analysis code

bash python source/AnalyzeData.py

Plots and tables produced by the analysis code should now be available in the tables and plots directories.

Owner

  • Name: MIT Climate & Sustainability Consortium
  • Login: mcsc-impact-climate
  • Kind: organization

Contains repos developed by the MIT Climate & Sustainability Consortium

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "MacDonell"
  given-names: "Danika"
  orcid: "https://orcid.org/0000-0001-5533-6300"
title: "PepsiCo_NACFE_Analysis"
version: 0.1.0
doi: 10.5281/zenodo.13173390
date-released: 2024-08-02
url: "https://github.com/mcsc-impact-climate/PepsiCo_NACFE_Analysis"

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Dependencies

requirements.txt pypi
  • matplotlib ==3.3.4
  • numpy ==1.24.2
  • pandas ==1.5.3
  • scipy ==1.9.1