Technoeconomic data and assumptions for long-term energy systems modelling in Indonesia
L.D. Hersaputri,
R. Yeganyan,
C. Cannone,
F.A. Plazas-Niño,
S. Osei-Owusu,
Y. Kountouris,
M. Howells
Affiliations
L.D. Hersaputri
Centre for Environmental Policy, Imperial College London, London, SW7 2BX United Kingdom; Corresponding author at: Centre for Environmental Policy, Imperial College London, London, SW7 2BX United Kingdom.
R. Yeganyan
Centre for Environmental Policy, Imperial College London, London, SW7 2BX United Kingdom; STEER Centre, Department of Geography, Loughborough University, Loughborough, LE11 3TU United Kingdom
C. Cannone
Centre for Environmental Policy, Imperial College London, London, SW7 2BX United Kingdom; STEER Centre, Department of Geography, Loughborough University, Loughborough, LE11 3TU United Kingdom
F.A. Plazas-Niño
STEER Centre, Department of Geography, Loughborough University, Loughborough, LE11 3TU United Kingdom
S. Osei-Owusu
Bartlett School of Environment, Energy and Resources, University College London, WC1E 6BT United Kingdom
Y. Kountouris
Centre for Environmental Policy, Imperial College London, London, SW7 2BX United Kingdom
M. Howells
Centre for Environmental Policy, Imperial College London, London, SW7 2BX United Kingdom; STEER Centre, Department of Geography, Loughborough University, Loughborough, LE11 3TU United Kingdom
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.
