Loughborough University
Browse
Supplementary_Materialv3.pdf (748.03 kB)

Supplementary material for "Micro-electric tractors for deep bed farming and sustainable micro-grid electricity"

Download (748.03 kB)
online resource
posted on 2024-05-30, 10:26 authored by Dani StricklandDani Strickland, Toby WilliamsToby Williams, Jonathan WilsonJonathan Wilson, Tom BettsTom Betts, Lee PartingtonLee Partington, Cameron Andrews, Isaac Chavula, France Gondwe

Supplementary information for the associated paper.

Abstract:

This paper describes an innovative method to provide a micro-electric tractor which has been developed as part of an initiative that aims to provide socially inclusive and affordable green energy solutions to smallholders in sub-Saharan Africa. It utilizes a 15.0kW solar array and battery system to power micro electric tractors for an agricultural practice in Malawi called Deep Bed Farming. Deep Bed Farming has been claimed to increase smallholder crop yield by about two and half times which increases revenue by up to 12 times. The extra revenue can then be used to perpetually purchase domestic energy from the solar array, creating a self-sustaining model for decentralized energy access. However, the requirement for land preparation is onerous and mechanization is needed to help overcome barriers to entry. This paper describes the technical requirements of a solar base station and micro tractor for use with Deep Bed Farming technique. The paper covers the design of 5.9kWp modular solar design and a 10.0kWh rated micro tractor. Testing was undertaken as an isolated grid in Loughborough as a precursor to plans for large scale testing in Malawi.

Funding

Innovate UK project 10039354 AfTrak and the Milken-Motsepe prize.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Research Unit

  • Centre for Renewable Energy Systems Technology (CREST)

Usage metrics

    Mechanical, Electrical and Manufacturing Engineering

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC