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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Technoeconomic Data and Assumptions for Energy Systems Modelling (OSeMOSYS and FlexTool) in Indonesia

Authors: Irbah, Mutiara Ramadhani Nur;

Technoeconomic Data and Assumptions for Energy Systems Modelling (OSeMOSYS and FlexTool) in Indonesia

Abstract

This material has been produced under the Climate Compatible Growth (CCG) programme, which brings together leading research organizations and is led out of the STEER centre, Loughborough University. CCG is funded by UK aid from the UK government. However, the views expressed herein do not necessarily reflect the UK government's official policies. This work was developed with the Energy Transition Council (ETC), which assisted in identifying needed research areas and connected to relevant stakeholders for a discussion on essential aspects of research.

The dataset includes technoeconomic data and assumptions for energy system modelling in Indonesia from 2015 to 2070. It encompasses capital costs, fixed costs, variable costs, power plant operational lifespans, technology efficiency, emission factors, capacity factors, demand, residual capacity, electricity production, and renewable energy supply and potential, all of which are adapted for OSeMOSYS modelling. Additionally, it provides key parameter values for FlexTool modelling.

Related Organizations
Keywords

Indonesia, Cost-optimisation, FlexTool, Power Sector, Renewable Energy, Energy Storage, Energy Modelling, OSeMOSYS

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average