scholarly journals Electric Vehicles as Flexibility Management Strategy for the Electricity System—A Comparison between Different Regions of Europe

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2597 ◽  
Author(s):  
Maria Taljegard ◽  
Lisa Göransson ◽  
Mikael Odenberger ◽  
Filip Johnsson

This study considers whether electric vehicles (EVs) can be exploited as a flexibility management strategy to stimulate investments in and operation of renewable electricity under stringent CO2 constraints in four regions with different conditions for renewable electricity (Sweden, Germany, the UK, and Spain). The study applies a cost-minimisation investment model and an electricity dispatch model of the European electricity system, assuming three types of charging strategies for EVs. The results show that vehicle-to-grid (V2G), i.e., the possibility to discharging the EV batteries back to grid, facilitates an increase in investments and generation from solar photovoltaics (PVs) compare to the scenario without EVs, in all regions except Sweden. Without the possibility to store electricity in EV batteries across different days, which is a technical limitation of this type of model, EVs increase the share of wind power by only a few percentage points in Sweden, even if Sweden is a region with good conditions for wind power. Full electrification of the road transport sector, including also dynamic power transfer for trucks and buses, would decrease the need for investments in peak power in all four regions by at least 50%, as compared to a scenario without EVs or with uncontrolled charging of EVs, provided that an optimal charging strategy and V2G are implemented for the passenger vehicles.

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 539
Author(s):  
Maria Taljegard ◽  
Lisa Göransson ◽  
Mikael Odenberger ◽  
Filip Johnsson

This study describes, applies, and compares three different approaches to integrate electric vehicles (EVs) in a cost-minimising electricity system investment model and a dispatch model. The approaches include both an aggregated vehicle representation and individual driving profiles of passenger EVs. The driving patterns of 426 randomly selected vehicles in Sweden were recorded between 30 and 73 days each and used as input to the electricity system model for the individual driving profiles. The main conclusion is that an aggregated vehicle representation gives similar results as when including individual driving profiles for most scenarios modelled. However, this study also concludes that it is important to represent the heterogeneity of individual driving profiles in electricity system optimisation models when: (i) charging infrastructure is limited to only the home location in regions with a high share of solar and wind power in the electricity system, and (ii) when addressing special research issues such as impact of vehicle-to-grid (V2G) on battery health status. An aggregated vehicle representation will, if the charging infrastructure is limited to only home location, over-estimate the V2G potential resulting in a higher share (up to 10 percentage points) of variable renewable electricity generation and an under-estimation of investments in both short- and long-term storage technologies.


2021 ◽  
Vol 9 ◽  
Author(s):  
Johanna Olovsson ◽  
Maria Taljegard ◽  
Michael Von Bonin ◽  
Norman Gerhardt ◽  
Filip Johnsson

This study analyses the impacts of electrification of the transport sector, involving both static charging and electric road systems (ERS), on the Swedish and German electricity systems. The impact on the electricity system of large-scale ERS is investigated by comparing the results from two model packages: 1) a modeling package that consists of an electricity system investment model (ELIN) and electricity system dispatch model (EPOD); and 2) an energy system investment and dispatch model (SCOPE). The same set of scenarios are run for both model packages and the results for ERS are compared. The modeling results show that the additional electricity load arising from large-scale implementation of ERS is mainly, depending on model and scenario, met by investments in wind power in Sweden (40–100%) and in both wind (20–75%) and solar power (40–100%) in Germany. This study also concludes that ERS increase the peak power demand (i.e., the net load) in the electricity system. Therefore, when using ERS, there is a need for additional investments in peak power units and storage technologies to meet this new load. A smart integration of other electricity loads than ERS, such as optimization of static charging at the home location of passenger cars, can facilitate efficient use of renewable electricity also with an electricity system including ERS. A comparison between the results from the different models shows that assumptions and methodological choices dictate which types of investments are made (e.g., wind, solar and thermal power plants) to cover the additional demand for electricity arising from the use of ERS. Nonetheless, both modeling packages yield increases in investments in solar power (Germany) and in wind power (Sweden) in all the scenarios, to cover the new electricity demand for ERS.


2021 ◽  
Vol 13 (21) ◽  
pp. 12177
Author(s):  
Haider Ali Abbasi ◽  
Satirenjit Kaur Johl ◽  
Zullina Bt Hussain Shaari ◽  
Wajiha Moughal ◽  
Muhammad Mazhar ◽  
...  

The transport sector is the leading source of growing greenhouse gas (GHG) emissions globally. To consider environmental degradation aspects due to transport, electric vehicles (EVs) have the prospect to lead road transport to electric mobility from conventional petroleum vehicles. Despite various eco-friendly benefits, the EV market penetration ratio is very low, especially in developing countries. The primary reason for low penetration is consumer limited motivation and knowledge about the EVs features. This paper uses a unified theory of acceptance and technology (UTAUT) model to assess consumer motivation and environmental knowledge towards EVs. This research used convenience random sampling to collect data and analyzed the results using the Partial Least Squares (PLS) method on the example of 199 respondents from Malaysia. The study results revealed that factors identified in the motivational context significantly influence consumer intentions to purchase EVs. Perceived environmental knowledge and technophilia have been included in UTAUT from a motivational perspective. Furthermore, a significant relationship between effort expectancy, social influence, technophilia, perceived environmental knowledge, and purchase intention towards electric vehicles has been observed, without performance expectancy. The study findings serve to inform policymakers and automakers to formulate effective marketing strategies to enhance consumer motivation, knowledge, and value creation for EVs in a sustainable era. Ultimately, the policies will help to encourage consumers to buy eco-friendly vehicles that will help reduce transport carbon emissions and attain sustainable development goals (SDGs).


2021 ◽  
Author(s):  
◽  
Md Hasan

<p>Greenhouse gas emissions from New Zealand’s road transport sector have been increasing rapidly since 1990. Between 1990 and 2017, New Zealand’s gross greenhouse gas emissions increased by 23.1% while emissions from the road transport sector increased by 82%; rising to 15.9 MtCO2e in 2017 from about 8.8 MtCO2e in 1990. To reduce transport emissions, the government has undertaken various initiatives including electric vehicle support, introduction of an emissions trading scheme (ETS), promotion of biofuel and other alternative fuels, and announcement of a feebate scheme. However, even though some of these policies require time to take effect, it is evident from the increase in emissions that there has so far been little progress in terms of transport emissions reduction. This raises questions over the acceptability and effectiveness of the policies taken by the government.  Given the pressing need to reduce transport emissions globally and in New Zealand in particular, the present study initially investigates the major drivers of transport emissions from among a set of likely drivers, using a causality test. Because electric vehicles are widely seen as an obvious ‘solution’ within the sector, this study next examines the costs and mitigation potential of electric vehicles in the New Zealand context in order to understand the uncertainties, risks, barriers, costs, and policy gaps associated with their widespread adoption. Next, this study examines the scope for an increased carbon price signal to curb emissions growth. Finally, this study takes the view that technological and price instruments have to be seen within a wider range of possible transport policy measures, some of which may be complementary. The study therefore elicited the perspectives of a number of transport experts, and NGO and green energy activists. It ranked six mitigation policy pathways and 26 policy options on the basis of experts’, and NGO and green energy activists’ preferences.   Findings of this study include that poor vehicle fuel economy is the major driver of transport emissions in New Zealand. Policies such as a high minimum vehicle fuel economy standard and/or feebate scheme could effectively help New Zealand reduce its transport emissions significantly. Electric vehicles (EVs) are also found to be potentially very effective in reducing emissions as around 80-85% of New Zealand’s electricity comes from renewable generation. Moreover, in terms of the ownership costs of using EVs, used EVs are now the most cost competitive among various vehicle types such as new EVs, used internal combustion engine vehicles (ICEVs) and new ICEVs. An increase in the carbon price to around NZD 235 per tonne of carbon dioxide (tCO2) is also likely to help the transport sector reduce its emissions by 11% from the 1990 level and achieve the Paris target. However, according to experts’, and NGO and green energy activists’ preferences, EV support and an increased carbon price are not the most preferred emissions reduction options. Some experts, and NGO and green energy activists viewed EV subsidization, EV free parking and EV access to high occupancy lanes as unethical because EVs are mostly used by high-income people whereas low-income people often use bus or low-cost used cars. Likewise, some experts, and NGO and green energy activists did not prefer an increased carbon price because the impact of such a policy would be uneven, and low-income people would be hurt severely compared to high-income people. Results demonstrate that active and public transport support and travel demand management are the most preferred options. Since New Zealand roads are not wide enough to support a high level of individual car use both in the short and the long run, most experts, and NGO and green energy activists preferred active and public transport under current and future circumstances. Policies related to bio-fuel support were least preferred because most experts, and NGO and green energy activists think an increased production and use of biofuels is likely to replace existing forestry and farm activity and decrease food production and forestry. It is hoped that the findings of this study will help to better illuminate the difficult policy options facing policy makers and work to assist them in identifying the most acceptable policies and projects for investment.</p>


2020 ◽  
Author(s):  
Luísa Barros ◽  
Mary Barreto ◽  
Lucas Pereira

Electric Vehicles (EV) adoption targets have been set by governments from countries throughout Europe, related to the European goals, for the decarbonization of the road transport sector. The change for electric vehicle technology can be challenging to EV users for a number of reasons such as battery autonomy, time to charge the vehicle, and the different driving conditions. The work in this paper aims to study how users from Madeira and Porto Santo islands deal with the challenges of EV adoption. Furthermore, this paper also studies the role of the orography in the Regenerative Braking System technology integrated into electric vehicles. To assess such information, an online questionnaire was prepared and sent out to the electric vehicle community of both islands. The main results of this study show drivers’ preference to charge the vehicles at their household and that users are satisfied with the vehicle’s technology. Also, users’ battery range anxiety did not seem to have a significant impact. Moreover, from the drivers’ point of view, there is still the need to study the role of orography, while using the regenerative braking system.


Atmosphere ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1491
Author(s):  
Daniel Mehlig ◽  
Huw Woodward ◽  
Tim Oxley ◽  
Mike Holland ◽  
Helen ApSimon

Currently, many cities in Europe are affected by concentrations of PM2.5 and NO2 above the WHO guidelines on the protection of human health. This is a global problem in which the growth of road transport constitutes a major factor. Looking to the future, electric vehicles (EVs) are considered to be the choice technology for reducing road transport greenhouse gas emissions, but their impact on air quality needs to be considered. Taking the UK as a case study, this paper begins by understanding the trajectory of a future scenario without the introduction of EVs, reflecting on the latest emission control improvements in internal combustion engine vehicles (ICEVs). This is then compared to a 2050 scenario in which the introduction of EVs, based on the UK government’s Transport Decarbonisation Plan, is reviewed. This plan includes a ban on the sale of ICEV cars and LGVs, beginning in 2030, with the subsequent electrification of heavier vehicles. By 2030, population exposure to NOx was found to be significantly reduced in the ICEV scenario, with a marginal further reduction found for the EV scenario. The EV scenario further reduced NOx exposure by 2050, with most of the benefits being realized before 2040. For the ICEV and EV scenario, PM2.5 emissions were largely unchanged due to the primary contribution of non-exhaust emissions, suggesting that EVs are likely to yield relatively smaller changes in exposure to PM2.5 than for NOx.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Subashini Suresh ◽  
Suresh Renukappa ◽  
Abdul-Rashid Abdul-Aziz ◽  
Yogeswary Paloo ◽  
Haddy Jallow

PurposeA smart city is a city that functions in a sustainable and intelligent way, by integrating all of its infrastructures and services in a cohesive way using intelligent devices for monitoring and control, to ensure efficiency and better quality of life for its citizens. As other countries globally, the UK is keen on economic development and investment in smart-city missions to create interest in monetary environment and inward investment. This paper aims to explore the driving forces of smart road transport transformation and implementation in the UK.Design/methodology/approachThe study involved interviews with 16 professionals from the UK road transport sector. A semi-structured interview technique was used to collect experts' perception, which was then examined using content analysis.FindingsThe results of the study revealed that the technological advancement is a key driver. The main challenges faced during the implementation of smart-city elements in the UK road network are lack of investment, maintenance, state of readiness and the awareness of the smart road transport concept. The study concludes that an understanding of the concept of smart cities from a road transport perspective is very important to create awareness of the benefits and the way it works. A wider collaboration between every sector is crucial to create a successful smart city.Originality/valueThe study contributes to the field of digitalisation of road transport sector. This paper reveals the key driving forces of smart road transport transformation, the current status of smart road transport implementation in the UK and challenges of the smart road transport development in the UK.


2020 ◽  
Vol 12 (21) ◽  
pp. 9152
Author(s):  
Reham Alhindawi ◽  
Yousef Abu Nahleh ◽  
Arun Kumar ◽  
Nirajan Shiwakoti

The economic and health impacts resulting from the greenhouse effect is a major concern in many countries. The transportation sector is one of the major contributors to greenhouse gas (GHG) emissions worldwide. Almost 15 percent of the global GHG and over 20 percent of energy-related CO2 emissions are produced by the transportation sector. Quantifying GHG emissions from the road transport sector assists in assessing the existing vehicles’ energy consumptions and in proposing technological interventions for enhancing vehicle efficiency and reducing energy-supply greenhouse gas intensity. This paper aims to develop a model for the projection of GHG emissions from the road transport sector. We consider the Vehicle-Kilometre by Mode (VKM) to Number of Transportation Vehicles (NTV) ratio for the six different modes of transportation. These modes include motorcycles, passenger cars, tractors, single-unit trucks, buses and light trucks data from the North American Transportation Statistics (NATS) online database over a period of 22 years. We use multivariate regression and double exponential approaches to model the projection of GHG emissions. The results indicate that the VKM to NTV ratio for the different transportation modes has a significant effect on GHG emissions, with the coefficient of determination adjusted R2 and R2 values of 89.46% and 91.8%, respectively. This shows that VKM and NTV are the main factors influencing GHG emission growth. The developed model is used to examine various scenarios for introducing plug-in hybrid electric vehicles and battery electric vehicles in the future. If there will be a switch to battery electric vehicles, a 62.2 % reduction in CO2 emissions would occur. The results of this paper will be useful in developing appropriate planning, policies, and strategies to reduce GHG emissions from the road transport sector.


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