scholarly journals Are They All Equal? Uncovering Adopter Groups of Battery Electric Vehicles

2020 ◽  
Vol 12 (7) ◽  
pp. 2815 ◽  
Author(s):  
Lukas Burs ◽  
Ellen Roemer ◽  
Stefan Worm ◽  
Andrea Masini
Keyword(s):  
Electric Vehicles ◽  
Personal Characteristics ◽  
Decision Makers ◽  
Transport Sector ◽  
Battery Electric Vehicles ◽  
Step Procedure ◽  
Adaptive Choice ◽  
Adoption And Diffusion ◽  
Environmental Goals ◽  
And Diffusion

Battery Electric Vehicles are regarded as highly important to reach environmental goals, such as CO2 savings in the transport sector. Despite governments making strong efforts to encourage their adoption and diffusion, sales still remain at a notoriously low level. One of the reasons may be the lack of a deeper understanding of the differences among potential adopters of Battery Electric Vehicles. To close this research gap, the authors segment adopter groups in a new way. They simultaneously use preferences for product attributes and personal characteristics to identify and characterize adopter groups of Battery Electric Vehicles. In this way, adopters can be effectively segmented, uncovering a more precise picture of adopters’ needs. Moreover, the authors introduce a three-step-procedure combining inputs from an adaptive choice-based conjoint experiment with a questionnaire. This approach can be used to segment adopter groups of other eco-innovations, as well. Based on three adopter groups of Battery Electric Vehicles (Utilitarian Savers, Performance Seekers, and Green Technologists), the authors develop tailored measures for decision-makers in policy and management to foster the adoption and diffusion of Battery Electric Vehicles.

scholarly journals Quantification of the Flexibility Potential through Smart Charging of Battery Electric Vehicles and the Effects on the Future Electricity Supply System in Germany

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2383
Author(s):  
Felix Guthoff ◽  
Nikolai Klempp ◽  
Kai Hufendiek
Keyword(s):  
Electric Vehicles ◽  
Capacity Planning ◽  
Linear Optimization ◽  
Energy System ◽  
Transport Sector ◽  
Additional Energy ◽  
Data Set ◽  
Battery Electric Vehicles ◽  
Smart Charging ◽  
The Impact

Electrification offers an opportunity to decarbonize the transport sector, but it might also increase the need for flexibility options in the energy system, as the uncoordinated charging process of battery electric vehicles (BEV) can lead to a demand with high simultaneity. However, coordinating BEV charging by means of smart charging control can also offer substantial flexibility potential. This potential is limited by restrictions resulting from individual mobility behavior and preferences. It cannot be assumed that storage capacity will be available at times when the impact of additional flexibility potential is highest from a systemic point of view. Hence, it is important to determine the flexibility available per vehicle in high temporal (and spatial) resolution. Therefore, in this paper a Markov-Chain Monte Carlo simulation is carried out based on a vast empirical data set to quantify mobility profiles as accurately as possible and to subsequently derive charging load profiles. An hourly flexibility potential is derived and integrated as load shift potential into a linear optimization model for the simultaneous cost-optimal calculation of the dispatch of technology options and long-term capacity planning to meet a given electricity demand. It is shown that the costs induced by BEV charging are largely determined by the profile costs from the combination of the profiles of charging load and renewable generation, and not only by the additional energy and capacity demand. If the charging process can be flexibly controlled, the storage requirement can be reduced and generation from renewable energies can be better integrated.

Personal Learning Environments in the Workplace

2013 ◽  
Vol 4 (4) ◽  
pp. 44-58 ◽  
Author(s):  
Arunangsu Chatterjee ◽  
Effie Lai-Chong Law ◽  
Alexander Mikroyannidis ◽  
Glyn Owen ◽  
Karen Velasco
Keyword(s):  
Learning Environments ◽  
Decision Makers ◽  
Key Factors ◽  
Complete Control ◽  
Factors Affecting ◽  
Personal Learning ◽  
Personal Learning Environments ◽  
Adoption And Diffusion ◽  
The Uk ◽  
And Diffusion

Personal Learning Environments (PLEs) have emerged as a solution to the need of learners for open and easily customisable learning environments. PLEs essentially hand complete control over the learning process to the learner. However, this learning model is not fully compatible with learning in the workplace, which is influenced by certain business factors. These factors are being investigated in this paper, through an exploratory study within a variety of private organisations in the UK. Based on the results of this study, 10 key factors affecting the adoption of PLEs in the workplace have been identified. The authors propose a framework for the adoption and diffusion of PLEs, aiming at informing decision makers within commercial organisations about the successful introduction of novel learning methodologies in their respective organisations.

scholarly journals Projection of Greenhouse Gas Emissions for the Road Transport Sector Based on Multivariate Regression and the Double Exponential Smoothing Model

2020 ◽  
Vol 12 (21) ◽  
pp. 9152
Author(s):  
Reham Alhindawi ◽  
Yousef Abu Nahleh ◽  
Arun Kumar ◽  
Nirajan Shiwakoti
Keyword(s):  
Greenhouse Gas ◽  
Electric Vehicles ◽  
Multivariate Regression ◽  
Ghg Emissions ◽  
Road Transport ◽  
Transport Sector ◽  
The Road ◽  
Battery Electric Vehicles ◽  
Transportation Sector ◽  
Double Exponential

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.

scholarly journals Environmental and energy assessment of new vehicle technologies in the greater Athens area

2013 ◽  
Vol 14 (2) ◽  
pp. 210-217
Keyword(s):  
Fuel Cell ◽  
Electric Vehicles ◽  
Energy Savings ◽  
Driving Cycle ◽  
Transport Sector ◽  
Passenger Cars ◽  
Battery Electric Vehicles ◽  
Energy Assessment ◽  
Alternative Scenarios ◽  
Vehicle Technologies

The transport sector in Greece has the largest share in the final energy consumption and the resulting emissions are one of the main sources of atmospheric pollution. This situation is worse in the region of Attica, where nearly half of the country’s private cars circulate in an area equal to 3 % of the total country area; the region’s climatic and geomorphological characteristics further aggravate the environmental problem. This paper examines energy saving and environmental impacts reduction from the penetration of eco-friendly technology passenger cars in this region. Three vehicle technologies are considered: (i) conventional hybrid electric vehicles, (ii) battery electric vehicles and (iii) fuel cell electric vehicles. The influence of the driving cycle is examined through the comparison of two different cycles, the New European Driving Cycle (a regulatory driving cycle) and the Athens Driving Cycle, based on actual driving data. Two alternative scenarios are formulated. The first involves the substitution of all the passenger cars that were registered during the last year (2010) with hybrid and battery electric vehicles that already exist in the Greek market. The second scenario examines the penetration of fuel cell electric vehicles. Both scenarios are evaluated on the basis of their expected energy savings and greenhouse gas emissions reduction. A 7.5 % to 9 % reduction of the CO2 emissions is expected, for the Athens Driving Cycle, if these measures are applied in a five year period.

Technology Transfer Oriented to Sustainable Development: Barriers and Opportunities

2021 ◽  
pp. 2150015
Author(s):  
Alana Corsi ◽  
Bertiene Maria Lack Barboza ◽  
Regina Negri Pagani ◽  
Daiane Maria De Genaro Chiroli ◽  
João Luiz Kovaleski
Keyword(s):  
Sustainable Development ◽  
Technology Transfer ◽  
Decision Makers ◽  
Review Of Literature ◽  
The Sustainable Development ◽  
Knowledge Resources ◽  
Innovation And Technology ◽  
Adoption And Diffusion ◽  
Barriers And Opportunities ◽  
And Diffusion

The process of technology transfer is complex and involves a series of factors and variables. Within this process, it is common that transferor and transferee might face several barriers. Furthermore, processes involving innovation and technology transfer must consider the impacts for the sustainable development. Taking these aspects into account, this paper aims to identify the barriers and opportunities in technology transfer oriented to sustainable development. To reach this goal, a systematic review of literature was carried out using the methodology Methodi Ordinatio. A portfolio composed of 107 scientific articles was built. The results demonstrate the main barriers, among which we can mention unavailability of financial resources or subsidies to obtain or implement a certain technology, and bureaucracy to obtain these resources. On the other hand, some opportunities can also be found, like Clean Development Mechanism and policies and regulations that favour the adoption and diffusion of clean technologies. Thus, this paper contributes to the academy by exploring the interconnections of Technology Transfer and Sustainable Development in the literature. This paper also contributes to the presentation of knowledge resources — information regarding barriers and opportunities to technology transfer oriented to sustainable development — so that governments and decision makers could define policies and strategies for a more effective process.

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