Evidence map›Paper›PMID 39669763›Full record

ArticleData in brief2024

A dataset for energy demand and supply modelling in Sierra Leone.

Fynn Kiley, David Caulker, William Collier, Neve Fields, William Blyth, Jairo Quirós-Tortós, Mark Howells

Abstract read
In one paragraph

Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Fynn KileySTEER Centre, Department of Geography, Loughborough University, Loughborough, LE11 3TU, United Kingdom.
David CaulkerUniversity of Sierra Leone, Fourah Bay College, Barham Road, Southern Central, Freetown, Sierra Leone.
William CollierSTEER Centre, Department of Geography, Loughborough University, Loughborough, LE11 3TU, United Kingdom.
Neve FieldsSTEER Centre, Department of Geography, Loughborough University, Loughborough, LE11 3TU, United Kingdom.
William BlythForeign Commonwealth and Development Office, King Charles St, London SW1A 2AH, United Kingdom.
Jairo Quirós-TortósSTEER Centre, Department of Geography, Loughborough University, Loughborough, LE11 3TU, United Kingdom.
Mark HowellsSTEER Centre, Department of Geography, Loughborough University, Loughborough, LE11 3TU, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Energy systems modelling plays a pivotal role in understanding and optimizing complex energy systems. By integrating various factors such as energy demand, supply, infrastructure, and environmental considerations, energy systems modelling provides valuable insights for policymakers, industry stakeholders, and researchers. This can be key to informing stakeholder and policy decisions and facilitate the mobilisation of capital and market development to support the development of the energy sector. This article presents the data, assumptions, and related calculations used for the development of a national scale power system model for Sierra Leone. The focus of the model was a techno-economic analysis of specific hydropower expansion plans. Where possible, this data has been collected from publicly available sources such as scientific literature, feasibility studies, international databases, data from existing modelling efforts in Sierra Leone, and local stakeholders. The collection of the data, development of the model, and creation of scenarios was done in collaboration with the Ministry of Energy in Sierra Leone and verified by a broad range of stakeholders. The following paper outlines the key data presented in the full database which can be accessed through the link found in the Specifications Table. The link also contains the Reference Energy System (RES) used in this study.

Indexed as

DataElectricityGridHydropowerLeast costMAEDOSeMOSYS

Identifiers

PMID39669763
PMCPMC11637185

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.