Empowering Indonesia’s energy transition planning through long-term energy system modelling: a technoeconomic dataset
File(s)
Published version
Author(s)
Irbah, Mutiara Ramadhani Nur
Slade, Raphael
Howells, Mark
Fields, Neve
Plazas-Niño, Fernando Antonio
Type
Journal Article
Abstract
As one of the most populous countries globally and a major emerging economy, Indonesia aims to significantly lower its carbon footprint and transform its power sector toward cleaner energy sources. To effectively plan and implement policies to achieve these goals, decision-makers require reliable, comprehensive data on Indonesia's energy systems. However, accessing energy data in Indonesia can be challenging, as is often the case in developing countries where data may be fragmented, out of date, or simply unavailable. In this regard, this data article paper presents an open-access dataset of Indonesia's energy systems to support energy modelling, policy analysis, and research, following the U4RIA goals of Ubuntu, Retrievability, Reusability, Repeatability, Reconstructability, Interoperability, and Auditability. The dataset encompasses historical and projected data from 2010 to 2070 on key aspects such as electricity demand by sector, electricity generation, installed capacity, capacity factors, costs of energy technologies, and renewable energy potentials for solar, wind, hydro, and geothermal power. The data has been collated from Indonesian government reports, international agencies, and academic literature and harmonised using documented assumptions. While Indonesia-specific, this dataset could serve as a template for developing similar energy datasets in other countries, which may face similar challenges in developing energy transition planning.
Date Issued
2025-06-01
Date Acceptance
2025-04-10
Citation
Data in Brief, 2025, 60
ISSN
2352-3409
Publisher
Elsevier BV
Journal / Book Title
Data in Brief
Volume
60
Copyright Statement
© 2025 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
License URL
Identifier
10.1016/j.dib.2025.111563
Publication Status
Published
Article Number
111563
Date Publish Online
2025-04-15