Understanding synergies between electric-vehicle market dynamics and sustainability: Case study of Colombia

2021 ◽  
Vol 321 ◽  
pp. 128834
Author(s):  
Esteban Lopez-Arboleda ◽  
Alfonso T. Sarmiento ◽  
Laura M. Cardenas
2019 ◽  
Vol 41 (5) ◽  
pp. 3-14
Author(s):  
Shuyan Zhao ◽  
Seong-Young Kim ◽  
Han Wu ◽  
Jie Yan ◽  
Jie Xiong

Purpose After three decades of development, the Chinese electric vehicle industry became the world’s largest electric vehicle market in 2015. However, little is understood about how the Chinese electric vehicle industry, as a latecomer in this strategic newly emerged industry, could catch up with international incumbents. The purpose of this paper is to study how the windows of opportunity emerge and interactively influence the catch-up process of Chinese electric vehicle industry. Design/methodology/approach This paper conducted a case study to examine how Chinese electric vehicle latecomers use the windows of opportunity along with the development of a sectoral system of innovation to reduce the gaps. Findings The results indicate that windows of opportunity appeared in the introduction stage (2005) and the transition from the introduction stage to the growth stage (2015) because of the sectoral changes in technologies, demand, policies and the interaction among these factors. Domestic electric vehicle latecomers currently follow the catch-up pattern of duplication, creative imitation and innovation. Practical implications To capture the previous windows of opportunity, domestic electric vehicle latecomers rely on technology transfer through international joint ventures, government support and local advantages from cheap labor. To seize future windows of opportunity, apart from progressively accumulating innovation capabilities, it is also essential for managers to recognize, break through and extend the windows of opportunity by anticipating and monitoring the process of changes of the sectoral system. Originality/value This paper provides a fine-grained study on how latecomers in a new industry with emerging markets can seize windows of opportunities to catch up with the international leaders.


Electricity ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 91-109
Author(s):  
Julian Wruk ◽  
Kevin Cibis ◽  
Matthias Resch ◽  
Hanne Sæle ◽  
Markus Zdrallek

This article outlines methods to facilitate the assessment of the impact of electric vehicle charging on distribution networks at planning stage and applies them to a case study. As network planning is becoming a more complex task, an approach to automated network planning that yields the optimal reinforcement strategy is outlined. Different reinforcement measures are weighted against each other in terms of technical feasibility and costs by applying a genetic algorithm. Traditional reinforcements as well as novel solutions including voltage regulation are considered. To account for electric vehicle charging, a method to determine the uptake in equivalent load is presented. For this, measured data of households and statistical data of electric vehicles are combined in a stochastic analysis to determine the simultaneity factors of household load including electric vehicle charging. The developed methods are applied to an exemplary case study with Norwegian low-voltage networks. Different penetration rates of electric vehicles on a development path until 2040 are considered.


Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4349
Author(s):  
Niklas Wulff ◽  
Fabia Miorelli ◽  
Hans Christian Gils ◽  
Patrick Jochem

As electric vehicle fleets grow, rising electric loads necessitate energy systems models to incorporate their respective demand and potential flexibility. Recently, a small number of tools for electric vehicle demand and flexibility modeling have been released under open source licenses. These usually sample discrete trips based on aggregate mobility statistics. However, the full range of variables of travel surveys cannot be accessed in this way and sub-national mobility patterns cannot be modeled. Therefore, a tool is proposed to estimate future electric vehicle fleet charging flexibility while being able to directly access detailed survey results. The framework is applied in a case study involving two recent German national travel surveys (from the years 2008 and 2017) to exemplify the implications of different mobility patterns of motorized individual vehicles on load shifting potential of electric vehicle fleets. The results show that different mobility patterns, have a significant impact on the resulting load flexibilites. Most obviously, an increased daily mileage results in higher electricty demand. A reduced number of trips per day, on the other hand, leads to correspondingly higher grid connectivity of the vehicle fleet. VencoPy is an open source, well-documented and maintained tool, capable of assessing electric vehicle fleet scenarios based on national travel surveys. To scrutinize the tool, a validation of the simulated charging by empirically observed electric vehicle fleet charging is advised.


2021 ◽  
Vol 13 (11) ◽  
pp. 5768
Author(s):  
Hugo A López ◽  
Pedro Ponce ◽  
Arturo Molina ◽  
María Soledad Ramírez-Montoya ◽  
Edgar Lopez-Caudana

Nowadays, engineering students have to improve specific competencies to tackle the challenges of 21st-century-industry, referred to as Industry 4.0. Hence, this article describes the integration and implementation of Education 4.0 strategies with the new educational model of our university to respond to the needs of Industry 4.0 and society. The TEC21 Educational Model implemented at Tecnologico de Monterrey in Mexico aims to develop disciplinary and transversal competencies for creative and strategic problem-solving of present and future challenges. Education 4.0, as opposed to traditional education, seeks to provide solutions to these challenges through innovative pedagogies supported by emerging technologies. This article presents a case study of a Capstone project developed with undergraduate engineering students. The proposed structure integrates the TEC21 model and Education 4.0 through new strategies and laboratories, all linked to industry. The results of a multidisciplinary project focused on an electric vehicle racing team are presented, composed of Education 4.0 elements and competencies development in leadership, innovation, and entrepreneurship. The project was a collaboration between academia and the productive sector. The results verified the students’ success in acquiring the necessary competencies and skills to become technological leaders in today’s modern industry. One of the main contributions shown is a suitable education framework for bringing together the characteristics established by Education 4.0 and achieved by our educational experience based on Education 4.0.


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