Selected ‘Starter Kit’ energy system modelling data for Indonesia (#CCG)

Abstract

Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to energy system modelling, causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Indonesia, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.

Pathways to Clean Energy Transition in Indonesia’s Electricity Sector with Open-Source Energy Modelling System Modelling (OSeMOSYS)

“…A scenario is predicted by OSeMOSYS software, providing an in-depth analysis of technology insights, electricity capacity, costs, and CO 2 emissions. An Indonesia starter data kit [28] was used as primary data to develop OSeMOSYS modelling results. This study used the 'Indonesia Base SAND' [29] model from the 'Indonesia Starter Data kit' [28] as the foundational assumption for constructing and further constraining the scenarios.…”

“…An Indonesia starter data kit [28] was used as primary data to develop OSeMOSYS modelling results. This study used the 'Indonesia Base SAND' [29] model from the 'Indonesia Starter Data kit' [28] as the foundational assumption for constructing and further constraining the scenarios.…”

“…OSeMOSYS and its clicSAND interface offer the advantage of allowing a wide range of scenarios to be developed for free, which will be essential for future policymaking. It represents the electricity supply system with importing and extracting technologies, converting technologies, power plants, transmission and distribution network systems, and final energy demands based on the various fuels available [28]. OSeMOSYS provides a complete one-step analysis of the country's energy system and facilitates the exploration of various scenarios, allowing us to model different pathways and transitions in the Indonesian energy sector.…”

“…The primary data used in this study is based on 'Indonesia's Starter Data Kit' [28], an Indonesian energy system data set published by CCG [29]. This dataset was designed to be incorporated as input data for the OSeMOSYS model, aiming to reduce the data barrier for developing a simple zero-order energy system model for Indonesia.…”

“…Ref. [28] stated that a starter data kit consists of existing electricity supply systems, technical data for electricity generation technologies, power transmission and distribution, refineries, fuel prices, emission factors, renewable and fossil fuel reserves, and electricity demand projections. This data set was gathered and designed to serve as a basis input and assumption for developing energy models and examining scenario analyses.…”