Loughborough University
Browse
- No file added yet -

The role of open access data in geospatial electrification planning and the achievement of SDG7. An OnSSET-based case study for Malawi

Download (5.19 MB)
journal contribution
posted on 2021-02-02, 16:08 authored by Alexandros Korkovelos, Babak Khavari, Andreas Sahlberg, Mark HowellsMark Howells, Christopher Arderne
Achieving universal access to electricity is a development challenge many countries are currently battling with. The advancement of information technology has, among others, vastly improved the availability of geographic data and information. That, in turn, has had a considerable impact on tracking progress as well as better informing decision making in the field of electrification. This paper provides an overview of open access geospatial data and GIS based electrification models aiming to support SDG7, while discussing their role in answering difficult policy questions. Upon those, an updated version of the Open Source Spatial Electrification Toolkit (OnSSET-2018) is introduced and tested against the case study of Malawi. At a cost of $1.83 billion the baseline scenario indicates that off-grid PV is the least cost electrification option for 67.4% Malawians, while grid extension can connect about 32.6% of population in 2030. Sensitivity analysis however, indicates that the electricity demand projection determines significantly both the least cost technology mix and the investment required, with the latter ranging between $1.65–7.78 billion.

Funding

World Bank under the contract number 7185716

History

School

  • Social Sciences and Humanities

Department

  • Geography and Environment

Published in

Energies

Volume

12

Issue

7

Publisher

MDPI AG

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

2019-04-08

Publication date

2019-04-11

Copyright date

2019

ISSN

1996-1073

eISSN

1996-1073

Language

  • en

Depositor

Deposit date: 2 February 2021

Article number

1395

Usage metrics

    Loughborough Publications

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC