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Designing Off-Grid Energy Systems with Artificial Intelligence

image credit: Thomas Kalitzky, CEO and Founder, Qantic GmbH
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Content development and editorial professional focusing on clean tech and sustainable energy industries. 24 years experience in technology trends market research, publishing, event development...

  • Member since 2019
  • 28 items added with 17,182 views
  • Nov 25, 2020

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This presentation by Thomas Kalitzky, CEO and Founder of Qantic GmbH, discusses a novel technique using machine learning and artificial intelligence (AI) that can help to efficiently design off-grid systems that comprise renewable energy sources, energy storage and thermal generators while anticipating challenging operation regimes.

In a case study the algorithm is compared to conventional optimization methods that are used in the course of system design. We quantify the impact on the component sizing and the reduction of costs and emissions that can be achieved by using the AI-based algorithm. Finally, we will give an overview on how AI can generally leverage the global expansion of off-grid energy systems.

This presentation is from the Microgrid Global Innovation Forum that was held in September 2020.  

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