Manuel Barjona

New Energy Solutions Manager at WiNRG Iberia
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Contact Information
us****@****om
(386) 825-5501
Location
Lisboa, Lisbon, Portugal, PT
Languages
  • Português -
  • English -
  • Alemão Elementary proficiency

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Bio

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Credentials

  • Internet of Energy Bootcamp - Bootcamp Comprised Big Data, Cybersecurity and Business Model Innovation
    EIT InnoEnergy
    Dec, 2018
    - Nov, 2024

Experience

    • Portugal
    • Solar Electric Power Generation
    • 1 - 100 Employee
    • New Energy Solutions Manager
      • Oct 2022 - Present

    • Portugal
    • Services for Renewable Energy
    • 1 - 100 Employee
    • Solution Development Leader
      • Nov 2017 - Oct 2022

      Mota-Engil, an international construction group, created in 2017 a new business unit, Mota-Engil Renewing, to develop and operate energy and mobility related solutions. As one of the first employees (#3) I was involved in the initial set-up of the company. At first my roles included business model development, brand launch, trend analysis, tool development, and technical recruitment, reporting directly to the CEO. Currently the small team of engineers I manage works autonomously to deliver integrated solutions of photovoltaic, energy storage, and electric vehicle charging infrastructure for large scale commercial and industrial buildings. Our competitive offers take advantage of: • The most recent and cost-effective technology. Our international procurement process is facilitated by the presence in relevant conferences and expositions, such as the Smarter E Exhibition and Berlin’s Energy Storage World Forum, that I regularly attend; • Optimal solution sizing using the semi-automated tool developed, including a detailed analysis of the individual clients needs; • Established workflow with regulators; • Clear proposals, budgets and sound technical solutions. Show less

  • LASEF, Técnico Lisboa
    • Lisboa, Portugal
    • Researcher
      • Jan 2017 - Nov 2017

      Computational Simulation and Analysis of Particle Movements in Turbulent Flows. The results of the code I wrote to simulate particles complex motion in turbulent flows and ran in supercomputers clusters funded by PRACE, strongly support Kolmogorov’s Lagrangian similarity assumption. This is an important theoretical assumption in the field of turbulence that had been subject to debate due to the lack of numerical or experimental confirmation. The results were presented by me in the American Physical Society Annual Meeting, Portland, Oregan, USA and at the 16th Euporean Turbulence conference, Stockholm, Sweden. Show less

Education

  • Nova School of Business and Economics
    Postgraduate Degree, Leading in a Digital Era
    2019 - 2021
  • Instituto Superior Técnico
    Master's degree, Aerospace Engineering
    2014 - 2016
  • Instituto Superior Técnico
    Bachelor's degree, Engenharia Aerospacial, Aeronáutica e Astronáutica
    2011 - 2014

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