• DocumentCode
    3673849
  • Title

    Electrical power analysis learning and implementation in One2One project

  • Author

    Luminita Mirela Constantinescu;Yannick Villeneuve

  • Author_Institution
    Dept. of Electronics, Computers and Electrical Engineering, University of Pitesti, no.1, Targu din Vale, Arges, 110040, Romania
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Abstract
    This paper presents a didactical project for vocational education in electrical field under the European Longlife Learning Programme - Transfer of innovation - with the title “one2one - One Teacher and One Student working with ProjectX [1], [2]”. The ProjectX is an innovative methodological guidebook for the student to carry out a concrete work, one to one with the tutor, in which theory and practice are both thoroughly integrated and is related to the real workplace [1], [2]. In the theoretical part, students will learn about the key elements of an electrical installation that refers to: the main types of loads, the electrical system capacity, the cables choice, checking the protection of electrical equipment, protection of persons, power factor and harmonics. They will also know the parameters for estimating main characteristics of electrical networks. After learning and testing, the students will perform the practice that has as main objective the achievement of energy assessments. At the end of this ProjectX, students will be able to realise a preventive or corrective maintenance for best energy efficiency, with high technical and economic impacts. The Project developed by France partner was evaluated by Romania partner, in order to improve its quality and transferability. In these conditions the project facilitates the exchange of ERASMUS mobility for students and teachers.
  • Keywords
    "Harmonic analysis","Reactive power","Instruments","Current measurement","Electrical resistance measurement","Induction motors","Power system harmonics"
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computers and Artificial Intelligence (ECAI), 2015 7th International Conference on
  • Print_ISBN
    978-1-4673-6646-5
  • Type

    conf

  • DOI
    10.1109/ECAI.2015.7301221
  • Filename
    7301221