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Viability of using wind turbines for electricity generation in electric vehicles

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Viability of using wind turbines for electricity generation in electric vehicles

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Rubio, F.; Llopis-Albert, C. (2019). Viability of using wind turbines for electricity generation in electric vehicles. Multidisciplinary Journal for Education, Social and Technological Sciences. 6(1):115-126. https://doi.org/10.4995/muse.2019.11743

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/120732

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Título: Viability of using wind turbines for electricity generation in electric vehicles
Autor: Rubio, Francisco Llopis-Albert, Carlos
Fecha difusión:
Resumen:
[EN] This paper presents a feasibility study of applying a fluid energy recovery system by means of wind turbines for charging batteries of electric vehicles. This is because the main disadvantage of electric vehicles with ...[+]
Palabras clave: Electric vehicles , Wind turbines , Energy recovery , Aerodynamics , Battery charging
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
Multidisciplinary Journal for Education, Social and Technological Sciences. (eissn: 2341-2593 )
DOI: 10.4995/muse.2019.11743
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/muse.2019.11743
Tipo: Artículo

References

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Ferdous, S.M, Salehin, S, Bin Khaled, W. (2011). Electric Vehicle with Charging Facility in Motion using Wind Energy. World Renewable Energy Congress 2011 - Sweden Sustainable Transport (ST), 8-11 May 2011, Linköping, Sweden. https://doi.org/10.3384/ecp110573629

Llopis-Albert, C., Rubio, F., Valero, F., (2019). Fuzzy-set qualitative comparative analysis applied to the design of a network flow of automated guided vehicles for improving business productivity. Journal of Business Research, https://doi.org/10.1016/j.jbusres.2018.12.076 [+]
Bangi, V.K.T., Chaudhary, Y.; Guduru, R.K.; Aung, K.T., Reddy, G.N. (2017). Preliminary investigation on generation of electricity using micro wind turbines placed on a car. International Journal of Renewable Energy Development, 6(1), pp. 75-81. https://doi.org/10.14710/ijred.6.1.75-81

Ferdous, S.M, Salehin, S, Bin Khaled, W. (2011). Electric Vehicle with Charging Facility in Motion using Wind Energy. World Renewable Energy Congress 2011 - Sweden Sustainable Transport (ST), 8-11 May 2011, Linköping, Sweden. https://doi.org/10.3384/ecp110573629

Llopis-Albert, C., Rubio, F., Valero, F., (2019). Fuzzy-set qualitative comparative analysis applied to the design of a network flow of automated guided vehicles for improving business productivity. Journal of Business Research, https://doi.org/10.1016/j.jbusres.2018.12.076

Llopis-Albert, C. Rubio, F., Valero, F. (2018). Designing Efficient Material Handling Systems Via Automated Guided Vehicles (AGVs). Multidisciplinary Journal for Education, Social and Technological Sciences, 5(2), 97-105. https://doi.org/10.4995/muse.2018.10722

Llopis-Albert, C., Merigó, J.M., Xu, Y.J. (2016). A coupled stochastic inverse/sharp interface seawater intrusion approach for coastal aquifers under groundwater parameter uncertainty. Journal of Hydrology 540, 774-783. https://doi.org/10.1016/j.jhydrol.2016.06.065

Llopis-Albert, C. Rubio, F., Valero, F. (2018a). Optimization approaches for robot trajectory planning. Multidisciplinary Journal for Education 5(1), 1-16. https://doi.org/10.4995/muse.2018.9867

Llopis-Albert, C., Rubio, F., Valero, F. (2015). Improving productivity using a multi-objective optimization of robotic trajectory planning. Journal of Business Research 68, 1429-1431. https://doi.org/10.1016/j.jbusres.2015.01.027

Llopis-Albert, C., Pulido-Velazquez, D. (2015). Using MODFLOW code to approach transient hydraulic head with a sharp-interface solution. Hydrological processes 29(8), 2052-2064. https://doi.org/10.1002/hyp.10354

Llopis-Albert, C., Capilla, J.E. (2010). Stochastic Simulation of Non-Gaussian 3D Conductivity Fields in a Fractured Medium with Multiple Statistical Populations: Case Study. Journal of Hydrologic Engineering 15(7), 554-566. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000214

Rubio, F., Llopis-Albert, C., Valero, F., Besa, A.J. (2019). A new approach to the kinematic modeling of a three-dimensional car-like robot with differential drive using computational mechanics. Advances in Mechanical Engineering, https://doi.org/10.1177/1687814019825907

Rubio, F., Valero, F., Llopis-Albert, C. (2019a). A review of mobile robots: Concepts, methods, theoretical framework, and applications. International Journal of Advanced Robotic Systems, 16(2).

https://doi.org/10.1177/1729881419839596

Rubio, F., Llopis-Albert, C., Valero, F., Suñer, J.L. (2016). Industrial robot efficient trajectory generation without collision through the evolution of the optimal trajectory. Robotics and Autonomous Systems 86, 106-112. https://doi.org/10.1016/j.robot.2016.09.008

Rubio, F., Llopis-Albert, C., Valero, F., Suñer, J.L. (2015). Assembly line productivity assessment by comparing optimization-simulation algorithms of trajectory planning for industrial robots. Mathematical Problems in Engineering, vol. 2015, Article ID 931048, 10 pages, 2015. https://doi.org/10.1155/2015/931048

Valero, F., Rubio, F., Llopis-Albert, C. (2019). Assessment of the Effect of Energy Consumption on Trajectory Improvement for a Car-like Robot. Robotica, 1-12. https://doi.org/10.1017/S0263574719000407

Valero, F., Rubio, F., Llopis-Albert, C., Cuadrado, J.I. (2017). Influence of the Friction Coefficient on the Trajectory Performance for a Car-Like Robot. Mathematical Problems in Engineering, vol. 2017, Article ID 4562647, 9 pages. https://doi.org/10.1155/2017/4562647

Wen-Long Yao, A. and Chiu, C.-H (2015). Development of a Wind Power System on Trucks. Universal Journal of Mechanical Engineering, 3(5), pp. 151-163. https://doi.org/10.13189/ujme.2015.030501

Zheng, X., Lin, H., Liu, Z., Li, D., Llopis-Albert, C., Zeng, S (2018). Manufacturing Decisions and Government Subsidies for Electric Vehicles in China: A Maximal Social Welfare Perspective. Sustainability, 10(3), 672. https://doi.org/10.3390/su10030672

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