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Daniel Maldonado Quinto

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Articles

The PAINT database for operational concentrating solar power plant data following FAIR data principles

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By Mathias Kuhl, Marie Weiel, Nicolas Blumenröhr, Daniel Maldonado Quinto, Charlotte Debus, Oliver Kaufhold, Achim Streit, Robert Pitz-Paal, Markus Götz, Max Pargmann, Kaleb Phipps, Marlene Busch, Jan Lewen, Felix Göhring
| Nature Verified
Abstract Integrating renewable energy is critical for maintaining grid stability while striving towards global climate goals. Concentrating solar power tower plants offer a promising solution but their competitiveness is currently hindered by high operational costs, limited data availability and slow adoption of emerging technologies.
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From Automation to Autonomy: A Digital Twin Framework for Transparent Agent and Human Collaboration in Industrial Multi-Agent Systems

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By Daniel Maldonado Quinto, Robert Pitz-Paal, Inga Miadowicz, Mathias Kuhl
| preprints.org
This version is not peer-reviewed. Inga Miadowicz  *,Mathias Kuhl,Daniel Maldonado Quinto,Robert Pitz-Paal,Michael Felderer Inga Miadowicz  *,Mathias Kuhl,Daniel Maldonado Quinto,Robert Pitz-Paal,Michael Felderer Submitted: 17 November 2025 You are already at the latest version With the advancement of digitization in the era of Industry 4.0 (I4.0), highly automated, semi-autonomous, and fully autonomous systems are emerging.
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Automatic heliostat learning for in situ concentrating solar power plant metrology with differentiable ray tracing - Nature Communications

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By Markus Götz, Max Pargmann, Daniel Maldonado Quinto
| Nature Verified
Abstract Concentrating solar power plants are a clean energy source capable of competitive electricity generation even during night time, as well as the production of carbon-neutral fuels, offering a complementary role alongside photovoltaic plants. In these power plants, thousands of mirrors (heliostats) redirect sunlight onto a receiver, potentially generating temperatures exceeding 1000°C. Practically, such efficient temperatures are never attained.
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