A SYSTEM DYNAMICS MODEL FOR ROOFTOP SOLAR PV SYSTEM DEVELOPMENT IN INDONESIA
Indonesia declared its commitment in the Paris Agreement (COP 21) to combat climate change due to excessive carbon emissions by limiting global average temperature rise to 1.5 oC above the pre-industrial level, and Indonesia submitted its first NDC target in 2030 of 29% GHG emission reduction....
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/84051 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Indonesia declared its commitment in the Paris Agreement (COP 21) to combat
climate change due to excessive carbon emissions by limiting global average
temperature rise to 1.5 oC above the pre-industrial level, and Indonesia submitted
its first NDC target in 2030 of 29% GHG emission reduction. This target is then
translated into a renewable energy target in RUPTL 2021-2030 where solar PV
accounts for 4,68 GW. Despite Indonesia’s enormous solar energy potential, up to
208 GW in RUEN or even bigger, up to 559 GWp according to MEMR,
Indonesia’s total installed capacity of rooftop solar PV is very low and far from
the ministry’s target of 3,6 GW in 2025 or RUPTL target 4,68 GW.
Residential rooftop solar PV development is considered a complex situation
involving many stakeholders with their own various interests. This study uses the
system dynamics approach to develop an assessment model to evaluate the
policies’ impact on residential rooftop solar PV system adoption. A literature
review, stakeholder’s analysis, and PESTEL analysis were conducted to identify
potential variables related to residential rooftop solar PV development and create a
rich picture diagram to understand the interrelationships between the variables.
Data were collected through stakeholders’ interviews as the primary source and
through published papers or journals, government reports, or NGOs reports as
secondary sources. 16 key variables were identified based on data gathering, and
then the causal loop diagram (CLD) was developed using these variables. The
CLD is then transformed into a stock and flow diagram (SFD) using the software
Vensim PLE 10.1.3, which is used to simulate several policies’ scenarios related to
residential rooftop solar PV adoption and CO2 emissions reduction. Ten scenarios
were simulated in this study involving three groups of interventions: initial net
metering tariff, reduction on initial solar PV cost, upper limit of ROI, and
combination of initial net metering tariff and initial solar PV cost reduction.
This study is based on MEMR Regulation No. 49/2018, which applies net metering
scheme with 65% multiplier factors for the excess electricity exported into the
PLN’s grid. Although the latest MEMR Regulation no. 02/2024 has been issued
recently, however, is not considered in this study. The Structure of the model was
validated by interviewing some stakeholders and comparing it with the actual case,
and the model’s behavior was validated by comparing the actual data between
2018 and 2021 with the model’s predicted outcome. The ten scenarios were
simulated between 2022 and 2030, with the results of the predicted solar PV
installation in 2030 ranging from 2,74 GW – 7,72 GW. This numbers mean
residential rooftop solar PV has the potential to meet the solar PV target in RUPTL
2021-2030. A combination of increasing the net metering tariff to 80% and the
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initial cost reduction of 30% has the highest potential for solar PV installations, the
highest CO2 emissions reduction, and the lowest accumulation cost of net metering
in 2030. This study can be used as a reference by policymakers in Indonesia to
formulate the optimum policy to boost rooftop solar PV growth, as the simulations
show that residential rooftop solar PV, with the right intervention, can meet the
government’s target of rooftop solar PV in 2030 |
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