evrex v0.1.1

Corrects the project URLs (Homepage/Repository) to point to the real repository at github.com/Net-Zero-Horizon/evrex.

EVreX v0.1.0

EVreX v0.1.0 — Initial Release

A Python library for electric vehicle fleet electrification assessment, adoption modeling, V2G potential analysis, battery degradation modeling, and grid impact assessment.

Features

Adoption Models

• Logistic regression with transport-specific drivers (GDP, fuel price, infrastructure)
• Bass diffusion (innovation/imitation dynamics)
• TCO-parity (total cost of ownership EV vs ICE comparison)
• Policy-driven (ICE bans, emission targets, scrappage model)

Charging Demand

• 3 scenarios: uncontrolled, time-of-use shifted, optimized (valley filling)
• Empirical 24h profiles for 4 vehicle categories (light, medium, heavy, buses)

V2G & Battery Degradation

• Hourly V2G capacity and energy availability assessment
• Wöhler-type degradation model with NMC and LFP chemistry parameters
• Break-even compensation rate calculation ($/MWh)

Grid Impact

• Peak shaving and valley filling quantification
• Arbitrage revenue and avoided grid reinforcement economics
• Net V2G program value assessment

Bundled Data

• IEA Global EV Data Explorer: 20 countries, 2010–2024
• BNEF battery pack costs: 2013–2024 + projections to 2050

Data Fetchers (optional [fetch] extra)

• OpenStreetMap: charging stations and road density
• World Bank: GDP, urbanization, population
• IMF: GDP growth, inflation

Installation

pip install evrex
pip install evrex[fetch]   # with OSM/WB/IMF fetchers

Requirements

• Python ≥ 3.9
• numpy ≥ 1.22
• scipy ≥ 1.8