TY  - JOUR
JF  - Data in Brief
PB  - Elsevier BV
A1  - Hersaputri, LD
A1  - Yeganyan, R
A1  - Cannone, C
A1  - Plazas-Niño, FA
A1  - Osei-Owusu, S
A1  - Kountouris, Y
A1  - Howells, M
KW  - Cost-optimisation
KW  -  Decarbonisation
KW  -  Energy planning
KW  -  Energy policy
KW  -  Renewable energy
VL  - 54
N1  - © 2024 The Author(s). Published by Elsevier Inc.
This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/)
ID  - discovery10190514
UR  - https://doi.org/10.1016/j.dib.2024.110323
N2  - Indonesia's emission reduction commitment and clean energy transition target emphasises the importance of energy system modelling for analysing and projecting Indonesia's capacity, resource availability, and future conditions in achieving these objectives. Utilising energy systems modelling based on adequate and reliable data enables policymakers to select the most optimal alternatives in energy planning. Aligned with the U4RIA (Ubuntu, Retrievability, Repeatability, Reconstructability, Interoperability, Auditability) concept, this database may facilitate various related stakeholders in obtaining this comprehensive and detailed energy data, while the data gathering and processing can also be applied to other developing countries. This country-specific dataset covers the historical data of electricity generation, demand, installed capacity, capacity factor, technical lifetime, renewable energy potentials, costs, and its projections up to 2050. The data in this article is ready to be used for energy system and modelling research.
AV  - public
Y1  - 2024/06//
SN  - 2352-3409
TI  - Technoeconomic data and assumptions for long-term energy systems modelling in Indonesia
ER  -