scholarly journals Control Theory and System Dynamics Simulations of Electric Vehicle Market Penetration in South Africa

2019 ◽  
pp. 403-413
Author(s):  
Nalini Sooknanan Pillay ◽  
Alan Colin Brent ◽  
Josephine Kaviti Musango
Keyword(s):  
South Africa ◽  
Control Theory ◽  
System Dynamics ◽  
Electric Vehicle ◽  
Market Penetration ◽  
Dynamics Simulations ◽  
Vehicle Market

Plug-in electric vehicle market penetration and incentives: a global review

2014 ◽  
Vol 20 (5) ◽  
pp. 777-795 ◽  
Author(s):  
Yan Zhou ◽  
Michael Wang ◽  
Han Hao ◽  
Larry Johnson ◽  
Hewu Wang ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Market Penetration ◽  
Vehicle Market

scholarly journals Electric Vehicle Market Penetration and Impacts on Energy Consumption and CO2 Emission in the Future: Beijing Case

Energies ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 228 ◽  
Author(s):  
Qian Zhang ◽  
Xunmin Ou ◽  
Xiaoyu Yan ◽  
Xiliang Zhang
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Co2 Emission ◽  
Market Penetration ◽  
The Future ◽  
Vehicle Market

scholarly journals Electric Vehicle Market Diffusion in Main Non–European Markets

2021 ◽  
pp. 75-88
Author(s):  
Katrin Seddig ◽  
Patrick Jochem ◽  
Wolf Fichtner
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Learning Curves ◽  
Market Penetration ◽  
Cost Development ◽  
The Cost ◽  
Market Diffusion ◽  
The Impact ◽  
European Markets ◽  
Vehicle Market

AbstractElectric vehicles (i.e., battery and plug-in hybrid electric vehicles) are seen as one promising technology toward a sustainable transport system as they have the potential to reduce CO2 emissions. The forecast of their market penetration depends on various factors including the cost development of key components such as the electric battery. This chapter focuses on the impact of experience curves on the battery costs, and consequently on the electric vehicles’ market penetration, which is simulated by coupling two system dynamics transport models: ASTRA, representing Europe, and TE3, representing key non-European car markets. The results of the TE3 model show that the consideration of global endogenous learning curves has an impact on the battery costs and therefore, the development of the electric vehicle stock (“feedback loop”).

scholarly journals Using a System Dynamics Modelling Process to Determine the Impact of eCar, eBus and eTruck Market Penetration on Carbon Emissions in South Africa

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 575 ◽  
Author(s):  
Nalini Sooknanan Pillay ◽  
Alan Colin Brent ◽  
Josephine Kaviti Musango ◽  
Francois van Geems
Keyword(s):  
South Africa ◽  
System Dynamics ◽  
Carbon Emissions ◽  
Electricity Sector ◽  
Transport Sector ◽  
Reference Scenario ◽  
Market Penetration ◽  
Electric Bus ◽  
The World ◽  
The Impact

The complexities that are inherent in electricity value chains are non-linear in nature and they require unconventional modelling methods, such as system dynamics. This paper provides an overview of the system dynamics method applied for obtaining an understanding of the impact of electric-bus, -car, and -truck market penetration on carbon emissions in South Africa, through the development of the electric mobility simulator (eMobiSim). Two scenarios were tested. The World Reference scenario was based on a market penetration of 22% eCars, 19% eTrucks, and 80% eBuses and the Gross Domestic Product (GDP) scenario was based on 2.38% eCars, 1.79% eTrucks, and 12% eBuses. The results indicate that the World Reference scenario is the most optimistic, with a 12.33% decrease in carbon emissions in the transport sector and an increase of 4.32% in the electricity sector. However, if the economic structure that is specific to South Africa is to be considered and the GDP scenario is run, then there would only be a 1.77% decrease of carbon emissions in the transport sector and an increase of 0.64% in the electricity sector. Although the eCar market penetration produces the highest reduction in carbon emissions, the volumes that are required are large and other factors, such as price parity and affordability in the various income deciles, would have to be considered in determining whether this volume is achievable.

ELECTRIC VEHICLE BATTERY RECYCLING: SYSTEM DYNAMICS GAME BASED ANALYSIS FOR THE INFLUENCING FACTORS

2019 ◽  
Vol 18 (5) ◽  
pp. 1123-1136 ◽  
Author(s):  
Dong Mu ◽  
Xin Li ◽  
Jianbang Du ◽  
Yongwei Cheng ◽  
Salman Hanif ◽  
...  
Keyword(s):  
System Dynamics ◽  
Electric Vehicle ◽  
Influencing Factors ◽  
Recycling System ◽  
Battery Recycling ◽  
Electric Vehicle Battery

scholarly journals System Dynamics Model for the Evolutionary Behaviour of Government Enterprises and Consumers in China’s New Energy Vehicle Market

2020 ◽  
Vol 12 (4) ◽  
pp. 1578 ◽  
Author(s):  
Hongxia Sun ◽  
Yao Wan ◽  
Huirong Lv
Keyword(s):  
System Dynamics ◽  
Motor Vehicle ◽  
Replicator Dynamics ◽  
Evolutionary Game ◽  
Practical Significance ◽  
Subsidy Policy ◽  
New Energy ◽  
New Energy Vehicle ◽  
The Impact ◽  
Vehicle Market

Exhaust pollution and energy crises are worsening worldwide. China has become the largest motor vehicle producer; thus, promoting the use of new energy vehicles (NEVs) in China has important practical significance. In this paper, considering the limited rationality of governments, NEV enterprises and consumers, we study the subsidy policy of the China NEV market using the evolutionary game and system dynamics (SD) methods. First, a tripartite evolutionary game model is developed and the replicator dynamics equations and Jacobian matrix are obtained. A SD simulation of the model was conducted to further clarify the impact of the initial market proportion and three variables used in the model. The results show that the initial market proportion affects the evolution speed but does not affect the evolution result when the three group players all choose a mixed strategy. For governments, they should not hastily cancel price subsidies provided to consumers; rather, they should dynamically adjust the rate of the subsidy decrease and increase the consumers’ extra cost for purchasing fuel vehicles (FVs). NEV enterprises should appropriately increase their investments in the research and development (R&D) of NEVs.

Sign in / Sign up

Export Citation Format

Share Document