Persona:
Castro Gil, Manuel Alonso

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0000-0003-3559-4235
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Castro Gil
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Manuel Alonso
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2001 - 200932010 - 201912020 - 20211
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Autor: Castro Gil, Manuel Alonso × Tiene archivos: true ×

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Mostrando 1 - 5 de 5
  • Miniatura
    Publicación
    Red de Innovación Docente en evaluación de programas de Pedagogía. Desarrollo de competencias prácticas mediante la evaluación formativa a través de la plataforma educativa WebCT de la UNED, en el marco del EEES
    (2009-09) Martínez Mediano, C.; Pérez Juste, Ramón; Lara, Enrique; Riopérez Losada, Nuria del Milagro; Castro Gil, Manuel Alonso; González Martínez, M. África; García Llamas, José Luis; Galán González, Arturo; Díaz Orueta, Gabriel
  • Miniatura
    Publicación
    Líneas de investigación del DIEEC de la UNED en Enseñanza a Distancia
    (2001-06-01) Peire Arroba, Juan; Rivilla, I.; Carpio, J.; Castro Gil, Manuel Alonso; Colmenar Santos, Antonio
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    Publicación
    Sistema de calidad inplementando las directrices propuestas del Espacio Europeo de Educación Superior
    (2003-06-18) Bañón, J. M.; Meciat, D.; Peire Arroba, Juan; Castro Gil, Manuel Alonso
  • Miniatura
    Publicación
    Smart Grid: Assessment of the past and present in developed and developing countries
    (ELSEVIER, 2017) Ponce Jara, Marcos Antonio; Ruiz Larrocha, Elena; Gil Ortego, Rosario; San Cristóbal Ruiz, Elio; Pérez Molina, Clara María; Castro Gil, Manuel Alonso; https://orcid.org/0000-0002-4450-4740
    The modern struggle to generate electricity reducing our dependence on fossil fuels and decreasing greenhouse gas emissions has found an ally in Smart Grid technology. This new trend involves a renewed perspective on how to generate, transmit, distribute and manage electricity networks, which not only helps to reduce power demand and cost, but can also improve efficiency, reliability, quality and security. This paper aims to study comprehensively the Smart Grid power system by comparing experiences and success stories from around the world. Developed countries, like the United States and those in the European Union, and developing countries, like India and Brazil, have been taken as examples of the current development and state of the Smart Grid concept. Europe and the U.S. lead the development of Smart Grids systems, while Brazil and India strongly depend on foreign technology and investment for their development in their countries. Climate change represents an extra challenge for developing countries, in addition to other issues related to economic and social advancement. Nevertheless, Smart Grids offer an array of possibilities and opportunities that work towards climate change international goals. However, state motivations and national energy resources limit the advancement of Smart Grids on this matter.
  • Miniatura
    Publicación
    Dynamic reconfiguration in FPAA for technical and nontechnical education in a global environment
    (Wiley, 2021) Macho Aroca, Alejandro; Garcia Teruel, Manuel; Garcia Loro, Felix; Baizan, Pablo; Blazquez Merino, Manuel; Sancristobal Ruiz, Elio; Díaz Orueta, Gabriel; Gil Ortego, Rosario; Castro Gil, Manuel Alonso; https://orcid.org/0000-0003-3978-0692; https://orcid.org/0000-0002-5454-456X; https://orcid.org/0000-0001-5445-2377; https://orcid.org/0000-0003-0117-8794; https://orcid.org/0000-0002-6462-9196; https://orcid.org/0000-0003-2102-977X
    Some engineering concepts have been proven to be very important not only in engineering degrees but in several areas. This knowledge is difficult to grasp under certain circumstances, and sometimes prior training is needed. This is a special challenge in full or part remote education. Simulations may help in this area, but truly experimental lab practices are crucial to grasp all the required knowledge and not only for fundamental information but for complex or indirect knowledge, where students can apply what they have learnt in classes. In this paper, we have worked on a concept to help professors and students to get new concepts in a more time-efficient and safe manner, using dynamic reconfiguration in Field-Programmable Analog Array. This solution can be easily applied to traditional or remote labs in less time than usual practices, so students can learn more in the same amount of time, especially when time is a constraint.