Innovation, Meteorology, Analytics

Nnergix’s technology uses cutting-edge solutions mixing satellite weather data with energy production values through customized solutions and specific monitoring designed for energy integration purposes. Everything is available online and worldwide.
Diagram with 3 green circles: meteorology, analytics, energy.

Case Study:
TSO Weather Analytics Dashboard

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Objectives

  • Develop specific predictive models for all solar photovoltaic and wind power plants all around the country.
  • Predictive model for country level demand load.
  • Implement a methodology for dynamic calculation of the spinning reserves.
  • Develop a tailored installable software on clients’ servers working on an internal secure network.
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Data

  • Details from all wind & Solar sites (location, power, features).
  • Historic generation data plant by plant.
  • Have more control on assets based on upcoming weather events.
  • Country Level demand load, and historic forecast and measured meteorologic data.
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Analytics

  • Development of automatic algorithms to collect needed data, forecast generation & demand and optimisation of spinning reserves for all the power grid systems in 5 countries.
  • Analytic models, neural networks, gradient boosting and random forest.
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Business

  • Total control of renewable energy generated all around the country.
  • Optimise available spinning reserves.
  • Improve power grid stability.

RESULTS

  • Installable solution on a highly secure network.
  • Data visualisation using a complete customised dashboard
  • Increase observability of renewable sources generation.
  • Improvement of the forecasting quality / accuracy.
  • Optimisation of the available spinning reserves.

Case Study:
Ice on wind turbines

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Objectives

  • Avoid damage to the trackers.
  • Avoid expensive repairs by O&M teams.
  • Have more control on assets based on upcoming weather events.
  • Increase workers' safety.
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Data

  • Avoid damage to the trackers.
  • Avoid expensive repairs by O&M teams.
  • Have more control on assets based on upcoming weather events.
  • Increase workers' safety.
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Analytics

  • Avoid damage to the trackers.
  • Avoid expensive repairs by O&M teams.
  • Have more control on assets based on upcoming weather events.
  • Increase workers' safety.
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Business

  • Avoid damage to the trackers.
  • Avoid expensive repairs by O&M teams.
  • Have more control on assets based on upcoming weather events.
  • Increase workers' safety.

RESULTS

Avoid damage to the trackers.
Avoid expensive repairs by O&M teams.
Have more control on assets based on upcoming weather events.
Increase workers' safety.