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A multi-scale lifecycle and technoeconomic framework for higher education fleet electrification.

Jason Juang1, Wyatt Green Williams1,2, Arjun T Ramshankar2

  • 1College of Business, Georgia Institute of Technology, Atlanta, GA, 30322, USA.

Scientific Reports
|February 28, 2024
PubMed
Summary
This summary is machine-generated.

Higher education institutions can accelerate fleet electrification, achieving economic payback in 8 years and carbon reduction in 10 months by adopting electric vehicles. This study models scenarios for universities to become environmental change agents.

Keywords:
Carbon paybackDrawdownElectric vehicleFleet electrificationHigher educationLife cycle assessmentSustainabilityTechno-economic analysis

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Area of Science:

  • Environmental Science
  • Engineering
  • Economics

Background:

  • Transportation is a major source of greenhouse gas emissions.
  • Higher education institutions have a significant role in promoting fleet electrification.
  • The impact of higher education on fleet electrification is understudied.

Purpose of the Study:

  • To model an archetypical higher education institution's fleet electrification.
  • To analyze carbon and economic payback periods for different electrification scenarios.
  • To assess the influence of implementation theory on institutional adoption.

Main Methods:

  • Lifecycle and technoeconomic analysis of three scenarios: Business-as-Usual, Targeted Electrification, and Full Electrification.
  • Modeling an archetypical fleet of 368 vehicles.
  • Multi-scalar analysis using implementation theory.

Main Results:

  • An 8-year economic payback period was observed when 20 fuel-based cars were replaced with electric vehicles.
  • A peak carbon payback period of approximately 10 months was achieved when 50 fuel-based cars were replaced.
  • Adherence to implementation theory positions institutions as environmental change agents.

Conclusions:

  • Higher education institutions can effectively lead fleet electrification efforts.
  • The study provides a adaptable framework for institutions of any fleet size.
  • Findings support informed decision-making for sustainable transportation.