scholarly journals Stochastic Modelling to Analyze the Impact of Electric Vehicle Penetration in Thailand

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5037
Author(s):  
Narongkorn Uthathip ◽  
Pornrapeepat Bhasaputra ◽  
Woraratana Pattaraprakorn
Keyword(s):  
Electric Vehicle ◽  
Distribution Systems ◽  
Fossil Fuels ◽  
Ghg Emissions ◽  
Stochastic Modelling ◽  
Stochastic Approach ◽  
Trade Offs ◽  
The Impact ◽  
Ev Charging ◽  
Charging Strategy

Electric Vehicle (EV) technology is one of the most promising solutions to reduce dependence on fossil fuels and greenhouse gas (GHG) emissions in the transportation sector. However, a large increase of EVs raises concerns about negative impacts on electricity generation, transmission, and distribution systems. This study analyzes the benefits and trade-offs for EV penetration in Thai road transport based on EV penetration scenarios from 2019 to 2036. Two charging strategies are considered to assess the impact of EV charging: free charging and off-peak charging. Uncertainty variables are considered by a stochastic approach based on Monte-Carlo simulation (MCS). The simulation results shown that the adoption of EVs can reduce both energy consumption and GHG emissions. The results also indicate that the increased load due to EV charging demand in all scenarios is still within the buffer level, compared to the installed generation capacity in the Power Development Plan 2018 revision 1 (PDP2018r1), and the off-peak charging strategy is more beneficial than the free-charging strategy. However, the increased load demand caused by all EV charging strategies has a direct impact on the power generating schedule, and also decreases the system reliability level.

scholarly journals Impact of Electric Vehicle Charging Strategy on the Long-Term Planning of an Isolated Microgrid

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3455
Author(s):  
Jean-Michel Clairand ◽  
Carlos Álvarez-Bel ◽  
Javier Rodríguez-García ◽  
Guillermo Escrivá-Escrivá
Keyword(s):  
Renewable Energy ◽  
Fossil Fuels ◽  
Energy Use ◽  
Environmental Benefits ◽  
Electric Vehicle Charging ◽  
Power Generation Planning ◽  
Smart Charging ◽  
The Impact ◽  
Ev Charging ◽  
Charging Strategy

Isolated microgrids, such as islands, rely on fossil fuels for electricity generation and include vehicle fleets, which poses significant environmental challenges. To address this, distributed energy resources based on renewable energy and electric vehicles (EVs) have been deployed in several places. However, they present operational and planning concerns. Hence, the aim of this paper is to propose a two-level microgrid problem. The first problem considers an EV charging strategy that minimizes charging costs and maximizes the renewable energy use. The second level evaluates the impact of this charging strategy on the power generation planning of Santa Cruz Island, Galapagos, Ecuador. This planning model is simulated in HOMER Energy. The results demonstrate the economic and environmental benefits of investing in additional photovoltaic (PV) generation and in the EV charging strategy. Investing in PV and smart charging for EVs could reduce the N P C by 13.58%, but a reduction in the N P C of the EV charging strategy would result in up to 3.12%.

scholarly journals Electric Vehicle Charging Strategy for Isolated Systems with High Penetration of Renewable Generation

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3188 ◽  
Author(s):  
Jean-Michel Clairand ◽  
Javier Rodríguez-García ◽  
Carlos Álvarez-Bel
Keyword(s):  
Electric Vehicle ◽  
Co2 Emissions ◽  
Fossil Fuels ◽  
Renewable Energy Sources ◽  
Electric Vehicle Charging ◽  
High Penetration ◽  
Smart Charging ◽  
Vehicle Charging ◽  
Installed Capacity ◽  
Charging Strategy

Inhabited islands depend primarily on fossil fuels for electricity generation and they also present frequently a vehicle fleet, which result in a significant environmental problem. To address this, several governments are investing in the integration of Renewable Energy Sources (RESs) and Electric Vehicles (EVs), but the combined integration of them creates challenges to the operation of these isolated grid systems. Thus, the aim of this paper is to propose an Electric Vehicle charging strategy considering high penetration of RES. The methodology proposes taxing CO2 emissions based on high pricing when the electricity is mostly generated by fossil fuels, and low pricing when there is a RES power excess. The Smart charging methodology for EV optimizes the total costs. Nine scenarios with different installed capacity of solar and wind power generation are evaluated and compared to cases of uncoordinated charging. The methodology was simulated in the Galapagos Islands, which is an archipelago of Ecuador, and recognized by the United Nations Educational, Scientific and Cultural Organization (UNESCO) as both aWorld Heritage site and a biosphere reserve. Simulations results demonstrate that the EV aggregator could reduce costs: 7.9% for a case of 5 MW installed capacity (wind and PV each), and 7% for a case of 10 MW installed (wind and PV each). Moreover, the use of excess of RES power for EV charging will considerably reduce CO2 emissions

scholarly journals Sustainable Electric Vehicle Transportation

2021 ◽  
Vol 13 (22) ◽  
pp. 12379
Author(s):  
Raymond Kene ◽  
Thomas Olwal ◽  
Barend J. van Wyk
Keyword(s):  
Electric Vehicle ◽  
Energy Demand ◽  
Large Scale ◽  
Common Knowledge ◽  
Distribution Network ◽  
Electricity Grid ◽  
Current State ◽  
The World ◽  
The Impact ◽  
Ev Charging

The future direction of electric vehicle (EV) transportation in relation to the energy demand for charging EVs needs a more sustainable roadmap, compared to the current reliance on the centralised electricity grid system. It is common knowledge that the current state of electricity grids in the biggest economies of the world today suffer a perennial problem of power losses; and were not designed for the uptake and integration of the growing number of large-scale EV charging power demands from the grids. To promote sustainable EV transportation, this study aims to review the current state of research and development around this field. This study is significant to the effect that it accomplishes four major objectives. (1) First, the implication of large-scale EV integration to the electricity grid is assessed by looking at the impact on the distribution network. (2) Secondly, it provides energy management strategies for optimizing plug-in EVs load demand on the electricity distribution network. (3) It provides a clear direction and an overview on sustainable EV charging infrastructure, which is highlighted as one of the key factors that enables the promotion and sustainability of the EV market and transportation sector, re-engineered to support the United Nations Climate Change Agenda. Finally, a conclusion is made with some policy recommendations provided for the promotion of the electric vehicle market and widespread adoption in any economy of the world.

High Penetration of Electrical Vehicles in Microgrids: Threats and Opportunities

2014 ◽  
Vol 15 (5) ◽  
pp. 457-469 ◽  
Author(s):  
Mojtaba Khederzadeh ◽  
Mohammad Khalili
Keyword(s):  
Power Flow ◽  
Distribution Systems ◽  
Electrical Energy ◽  
Mixed Integer ◽  
Master Problem ◽  
Demand Side ◽  
Electrical Vehicles ◽  
The Difference ◽  
The Impact ◽  
Ev Charging

Abstract Given that the microgrid concept is the building block of future electric distribution systems and electrical vehicles (EVs) are the future of transportation market, in this paper, the impact of EVs on the performance of microgrids is investigated. Demand-side participation is used to cope with increasing demand for EV charging. The problem of coordination of EV charging and discharging (with vehicle-to-grid (V2G) functionality) and demand response is formulated as a market-clearing mechanism that accepts bids from the demand and supply sides and takes into account the constraints put forward by different parts. Therefore, a day-ahead market with detailed bids and offers within the microgrid is designed whose objective is to maximize the social welfare which is the difference between the value that consumers attach to the electrical energy they buy plus the benefit of the EV owners participating in the V2G functionality and the cost of producing/purchasing this energy. As the optimization problem is a mixed integer nonlinear programming one, it is decomposed into one master problem for energy scheduling and one subproblem for power flow computation. The two problems are solved iteratively by interfacing MATLAB with GAMS. Simulation results on a sample microgrid with different residential, commercial and industrial consumers with associated demand-side biddings and different penetration level of EVs support the proposed formulation of the problem and the applied methods.

Stochastic approach for performance evaluation regarding water distribution systems

2007 ◽  
Vol 56 (9) ◽  
pp. 29-36 ◽  
Author(s):  
M. Möderl ◽  
T. Fetz ◽  
W. Rauch
Keyword(s):  
Performance Evaluation ◽  
Case Studies ◽  
Distribution Systems ◽  
Water Distribution ◽  
Performance Indicator ◽  
Water Distribution Systems ◽  
Stochastic Approach ◽  
Cumulative Distribution ◽  
Design System ◽  
The Impact

A traditional procedure for performance evaluation of systems is to test approaches on one or more case studies. However, it is well known that the investigation of real case studies is a tedious task. Moreover, due to the limited amount of case studies available it is not certain that all aspects of a problem can be covered in such procedure. With increasing computer power an alternative methodology has emerged, that is the investigation of a multitude of virtual case studies by means of a stochastic consideration of the overall performance. Within the frame of this approach we develop here a modular design system (MDS) for water distribution systems (WDSs). With the algorithmic application of such a MDS it is possible to create a variety of different WDSs. As an example of stochastic performance evaluation the impact of pipe breakages on WDSs is estimated applying a pressure driven performance indicator. This performance indicator is evaluated stochastically. Likewise the performance evaluation of a variety of WDSs is also performed stochastically. Cumulative distribution function, histogram and other statistical properties of 2,280×1,000 performance results of the different WDSs are calculated to highlight the applicability of the introduced stochastic approach.

Integrated system dynamics modelling of the water-energy-food-land-climate nexus in Latvia: exploring the impact of policy measures in a nexus-wide context

2021 ◽  
Author(s):  
Janez Susnik ◽  
Sara Masia ◽  
Daina Indriksone ◽  
Ingrida Bremere ◽  
Lydia Vamvakeridou-Lyroudia ◽  
...  
Keyword(s):  
System Dynamics ◽  
Crop Yields ◽  
Ghg Emissions ◽  
Resource Scarcity ◽  
Integrated System ◽  
Policy Implications ◽  
Trade Offs ◽  
Future System ◽  
Policy Objectives ◽  
The Impact

<p>The water-energy-food-land-climate nexus sectors interact in a complex system operating on many scales. Better understanding this system, and its response to change (e.g. climate change, policy implementation) is urgently required, yet little progress has been made on integrating real policy objectives into nexus models to assess potential nexus-wide impacts of policy decisions. Given current concerns on resource scarcity, and on the growing appreciation of how connected the sectors are, under-standing how the implementation of policy objectives in one area will impact (1) other nexus sectors and (2) potential future system behaviour, is becoming vitally important. Despite this, little progress has been towards such an understanding. In this work, a fully integrated system dynamics model of the water-energy-food-land-climate nexus in Latvia is presented. The model couples all the nexus sectors in a feedback driven modelling framework. Latvia is represented in five distinct yet inter-acting regions, allowing finer scale interrogation of results and policy implications. In addition, real Latvian policies are integrated within various nexus sectors (e.g. a policy to improve crop yields or to expand agricultural lands at the expense of other land use types). Due to the integrated nature of the model, executing any policy will not only have an impact within the policy sector (e.g. water), but the nexus-wide impacts can also be determined (e.g. on GHG emissions). Results show that due to the inter-connectedness, impacts range far more widely than may be anticipated. For example, implementing policies to achieve goals related to cereal land coverage in Latvia prevents the attainment of policy goals relating to emissions reductions. As such, synergies can be identified and harnessed, while trade-offs can be avoided. Policy can then be (re-)designed to maximise nexus-wide benefits. This work is carried out in the framework of the H2020 project SIM4NEXUS, which will deliver 10 more such models exploring the policy impacts on the nexus at different scales (sub-national to European). As such, the work starts to fill a crucial academic and applied knowledge gap: how policies designed for a single sector have impacts that ripple throughout the entire nexus. As such, guidelines for more intelligent policy design can start to be formulated, something that is lacking in current nexus research.</p>

scholarly journals Policy Considerations for Zero-Emission Vehicle Infrastructure Incentives: Case Study in Canada

2018 ◽  
Vol 9 (3) ◽  
pp. 38 ◽  
Author(s):  
Azadeh Maroufmashat ◽  
Michael Fowler
Keyword(s):  
Fossil Fuels ◽  
Combustion Engine ◽  
Ghg Emissions ◽  
Charging Infrastructure ◽  
The Road ◽  
Electric Vehicle Charging ◽  
Zero Emission ◽  
Government Grant ◽  
The Impact ◽  
Electric Powertrains

Transportation accounts for more than 20% of the total Greenouse Gas (GHG) emissions in Canada. Switching from fossil fuels to more environmentally friendly energy sources and to Zero-Emission Vehicles (ZEVs) is a promising option for future transportation but well to wheel emission and charging/refuelling patterns must also be considered. This paper investigates the barriers to and opportunities for electric charging and hydrogen refueling infrastructure incentives in Ontario, Canada and estimates the number of Internal Combustion Engine Vehicles (ICEVs) that would be offset by infrastructure incentives. The paper also assesses the potential of electric and hybrid-electric powertrains to enable GHG reductions, explores the impact of the electricity supply mix for supporting zero-emission vehicles in different scenarios and studies the effect of the utility factor for PHEVs in Ontario. The authors compare the use of electric vehicle charging infrastructures and hydrogen refueling stations regarding overall GHG emission reductions for an infrastructure incentive funded by a 20-million-dollar government grant. The results suggest that this incentive can provide infrastructure that can offset around 9000 ICEVs vehicles using electricity charging infrastructure and 4000–8700 when using hydrogen refuelling stations. Having appropriate limitations and policy considerations for the potential 1.7 million electric-based vehicles that may be in use by 2024 in Ontario would result in 5–7 million tonne GHG avoidances in different scenarios, equivalent to the removal of 1–1.5 million ICEVs from the road.

scholarly journals Modelling Support Mechanism Impact on Electric Vehicle Registration in Latvia

2019 ◽  
Vol 33 (1) ◽  
pp. 127-139
Author(s):  
Gustavs Gudzuks ◽  
Sarma Cakula
Keyword(s):  
Electric Vehicle ◽  
Age Groups ◽  
Ghg Emissions ◽  
Cost Effective ◽  
Charging Infrastructure ◽  
Support Mechanism ◽  
Theoretical Literature ◽  
Effective Option ◽  
Support Mechanisms ◽  
The Impact

Abstract Globalization has led to an increased anthropological impact on the climate, and transport is one of the most greenhouse gas (GHG) intensive sectors that is facilitating it. Transport generated around 14 percent of global GHG emissions in 2010. Transport decarbonization is vital for limiting climate change, and electric vehicle (EV) is one of the solutions. EV prevalence in Latvia after Climate Financial Instrument (CCFI) funding has steadily increased and the average yearly EV growth has remained at 0.09 percent among newly registered light-duty passenger vehicles. The aim of this research is to model the impact of different direct and indirect support mechanisms on EV growth in Latvia taking into account the costs of the given support mechanisms. Accordingly, theoretical literature and research on vehicle decarbonization, EV support mechanisms, and barriers were analyzed. In order to obtain the data related to individual attitude towards EVs and their support policies a survey of different age groups was conducted. Based on the theoretical literature, a model was devised using STELLA software. The model was verified and validated. The results of the model indicate that until 2030 direct subsidies of at least 45 percent will have the largest impact on EV registration, while decreasing VAT by at least 9 percent is the most cost-effective option. The results regarding indirect support mechanisms show that free charging and development of charging infrastructure, as well as improvements to EV related technologies would increase EV registration. However, to ensure sustainable support to EVs it is advisable to combine direct incentives with indirect support mechanisms. Combining different policies lowers incentive costs and increases their efficiency.

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