Open AccessSystem Dynamics Modeling of Indonesia Road Transportation Energy Demand and Scenario Analysis to achieve National Energy Policy Target
Author(s) -
Indra Chandra Setiawan,
Indarto Indarto,
Deendarlianto
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/546/5/052070
Subject(s) - environmental economics , greenhouse gas , system dynamics , fuel efficiency , consumption (sociology) , business , energy consumption , demand management , energy policy , energy management , natural resource economics , economics , energy (signal processing) , engineering , renewable energy , computer science , automotive engineering , ecology , social science , statistics , electrical engineering , macroeconomics , mathematics , artificial intelligence , sociology , biology
The Indonesian transportation sector is currently the nation’s largest consumer of petroleum products and a significant source of greenhouse gas (GHG) emissions overall. Many policies have been implemented by central and local governments, from the introduction of alternative fuels until demand management like odd-even policy; results, however, are in most cases disappointing. This paper explained a system dynamics model for the road transportation sector in Indonesia. The model considers basic policy options under Activity, Structure, Intensity, and Fuel (ASIF) framework and includes two main objectives, i.e., reduction of energy consumption and CO 2 emission. Policy scenarios were developed to cover business as usual (REF), transport demand management (TDM), the introduction of fuel economy (FE) standard and feebate system (FEE), adoption of electric vehicles (EV) which considers future technological improvement factors and fuel switching strategy. The result indicates that it is mandatory to have a policy mix as the most effective strategy to reduce energy consumption, CO 2 emission and achieve national energy mix target in 2050.