scholarly journals The influence of driving patterns on energy consumption in electric car driving and the role of regenerative braking

2017 ◽  
Vol 22 ◽  
pp. 174-182 ◽  
Author(s):  
Andreas Braun ◽  
Wolfgang Rid
2014 ◽  
Vol 9 (2) ◽  
pp. 146-163 ◽  
Author(s):  
Marianne Ryghaug ◽  
Marit Toftaker

This article focuses on the introduction of electric vehicles in Norway and how electrical cars are understood culturally in relation to conventional car use. Theoretically, elements of social practice theory and the analysis of processes of domestication are combined to frame practical, cognitive, and symbolic dimensions of electric car use. The empirical data consists of individual and focus group interviews with electric car users. The analysis unpacks the implications of user-designated meaning in driving practices, competencies considered necessary when driving electric cars, and the material aspects regarded as critical features of electric car driving. Preliminary findings suggest that the practice of electric car driving alters user habits by making transportation needs more salient and raises both the technological and energy consumption awareness of users.


2020 ◽  
Vol 26 (3) ◽  
pp. 20-25
Author(s):  
Laurențiu Bogdan Asalomia ◽  
Gheorghe Samoilescu

AbstractThe paper analyses the role of control and monitoring of electro-energetic equipment in order to reduce operational costs, increase profits and reduce carbon emissions. The role of SCADA and EcoStruxure Power systems is presented and analysed taking into account the energy consumption and its savings. The paper presents practical and modern solutions to reduce energy consumption by up to 53%, mass by up to 47% and increase the life of the equipment by adjusting the electrical parameters. The Integrated Navigation System has allowed an automatic control and an efficient management. For ships, the implementation of an energy efficiency design index and new technologies was required for the GREEN SHIP project.


Author(s):  
Hardeep S. Saini ◽  
Dinesh Arora

Background & Objective: The operating efficiency of a sensor network totally relies upon the energy that is consumed by the nodes to perform various tasks like data transmission etc. Thus, it becomes mandatory to consume the energy in an intelligent way so that the network can run for a long period. This paper proposed an energy efficient Cluster Head (CH) selection mechanism by considering the distance to Base Station (BS), distance to node and energy as major factors. The concept of volunteer node is also introduced with an objective to reduce the energy consumption of the CH to transmit data from source to BS. The role of the volunteer node is to transmit the data successfully from source to destination or BS. Conclusion: The results are observed with respect to the Alive nodes, dead nodes and energy consumption of the network. The outcome of the proposed work proves that it outperforms the traditional mechanisms.


Author(s):  
Lin-Sea Lau ◽  
Abdelhak Senadjki ◽  
Suet-Ling Ching ◽  
Chee-Keong Choong ◽  
Ai-Na Seow ◽  
...  

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1158
Author(s):  
Lizeth Cifuentes ◽  
Michael Camilleri ◽  
Andres Acosta

Sensory and motor functions of the stomach, including gastric emptying and accommodation, have significant effects on energy consumption and appetite. Obesity is characterized by energy imbalance; altered gastric functions, such as rapid gastric emptying and large fasting gastric volume in obesity, may result in increased food intake prior to reaching usual fullness and increased appetite. Thus, many different interventions for obesity, including different diets, anti-obesity medications, bariatric endoscopy, and surgery, alter gastric functions and gastrointestinal motility. In this review, we focus on the role of the gastric and intestinal functions in food intake, pathophysiology of obesity, and obesity management.


2021 ◽  
Vol 13 (4) ◽  
pp. 1611
Author(s):  
Saima Mujeed ◽  
Shuangyan Li ◽  
Musarrat Jabeen ◽  
Abdelmohsen A. Nassani ◽  
Sameh E. Askar ◽  
...  

The role of women in economic development and the global environment is vital for progressing them towards the United Nations sustainable development goal (SDG-5) that emphasized the need to empower women in every walk of life. The study examines women’s autonomy in the sustainable development agenda under China’s open innovation system from 1975 to 2019. The study employed an autoregressive distributed lag (ARDL) model, vector autoregressive (VAR) Granger causality, and innovation accounting matrix to estimate parameters. The existing data are summarized and collated in the context of China to explain as a correlational study. The results show that women’s autonomy moderated with technology spills over to decrease greenhouse gas (GHG) emissions and substantiate the hump-shaped relationship between them. The increased spending on research and development (R&D) activities, patent publications, and renewable energy consumption empowers women to be equipped with the latest sustainable technologies to improve environmental quality. The pollution haven hypothesis verifies a given country, where trade liberalization policies tend to increase polluting industries to set up their plants that engaged in dirty production that exacerbate GHG emissions. The causality estimates confirmed that technological innovations and renewable energy consumption leads to women’s autonomy. In contrast, females’ share in the labor force participation rate leads to an increase in renewable energy consumption. Thus, it is evident that there is a positive role of women in the country’s sustainable development.


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