Aligned Simulation Models for Simulating Africa’s Electric Minibus Taxis

Author:

Abraham Chris Joseph1ORCID,Rix Arnold1ORCID,Booysen Marthinus Johannes2ORCID

Affiliation:

1. Department of E&E Engineering, Stellenbosch University, Stellenbosch 7602, South Africa

2. Faculty of Engineering, Stellenbosch University, Stellenbosch 7602, South Africa

Abstract

Planning for the eventual electrification of transport in sub-Saharan Africa requires accurate simulation of its unique transport systems. The few studies that attempt to model electric minibus taxis—vehicles extensively used in sub-Saharan Africa’s public transport systems—vary greatly in their results. This paper analyses, compares and corrects the only two existing studies that project energy consumption of electric minibus taxis in the region. One of the studies projected an energy consumption of 0.39 kWh/km, while the other projected 0.93 kWh/km. This paper carefully analyses the simulation tools and models and cumulatively applies corrections from the literature and scientific analyses. As a result, the discrepancy between the two simulation tools is eliminated for a given data input and a final energy consumption is estimated in the range of 0.49–0.52 kWh/km, depending on the input data.

Funder

MTN South Africa

National Research Foundation

Eskom

Deutsche Gesellschaft für Internationale Zusammenarbeit

Publisher

MDPI AG

Subject

Automotive Engineering

Reference21 articles.

1. Cervigni, R., Rogers, J.A., and Dvorak, I. (2013). Assessing Low-Carbon Development in Nigeria: An Analysis of Four Sectors, World Bank.

2. Kumar, A.M., Foster, V., and Barrett, F. (2008). Stuck in Traffic: Urban Transport in Africa, AICD. Technical Report.

3. Data needed to decarbonize paratransit in Sub-Saharan Africa;Collett;Nat. Sustain.,2021

4. Akpa, N.E.E., Booysen, M., and Sinclair, M. (2023, March 01). Publicly Available Annotated Dataset of Tracked Taxis. Available online: https://gitlab.com/eputs/data/fcd-stellenbosch.

5. DigitalTransport4Africa (2023, March 01). Data. Available online: https://digitaltransport4africa.org/.

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