Munich, Georgia

Martin Von Mutius


 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: **Innovative Contributions of Martin Von Mutius in Wind Energy Technology**

Introduction

Martin Von Mutius is an accomplished inventor based in Munich, Germany, specializing in the field of renewable energy. His work particularly focuses on enhancing the performance of wind energy installations, demonstrating his commitment to advancing sustainable energy solutions.

Latest Patents

Martin holds a significant patent titled "Method and system for parameterization of a controller for a wind energy installation and/or operation of a wind energy installation." This innovative method aims to optimize the controller of a wind energy installation by adjusting its manipulated variables based on various input parameters. Using artificial intelligence, his invention determines crucial parameters for wind energy installations, especially under conditions of icing, by relying on predictive mathematical models. This approach not only enhances operational efficiency but also ensures better performance during adverse weather conditions.

Career Highlights

Currently, Martin is associated with Siemens Gamesa Renewable Energy Service GmbH, a leading company dedicated to providing sustainable energy solutions across the globe. His role involves research and development focused on enhancing wind energy technologies, contributing to a greener future.

Collaborations

Throughout his career, Martin has engaged in collaboration with various teams and experts in the renewable energy sector. His work at Siemens Gamesa positions him at the forefront of innovative projects aimed at improving the efficiency and reliability of wind energy systems, paving the way for future advancements in this field.

Conclusion

Martin Von Mutius exemplifies the spirit of innovation in the renewable energy sector with his groundbreaking work on wind energy installations. His patent serves as a significant step toward more efficient and intelligent systems that can adapt to varying environmental conditions, showcasing the potential of technology in contributing to sustainable energy practices.

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