State-of-the-art analysis of the design and characterization of a hybrid energy generation system with monitoring and optimization using MEMS and Legacy semiconductors
DOI:
https://doi.org/10.61273/neyart.v3i4.109Keywords:
Sistemas híbridos de generación de energía, sistemas de monitorización y control, sensores MEMS, semiconductores tradicionalesAbstract
The The design of monitoring, control and optimization systems in a energy generation system represents a solution to the current reset and environmental challenges. In particular, these systems allow us to achieve efficiencies and high yields in the operation. SinEmbargo, the use of high technology in this type of systems allows to integrate artificial intelligence (AI), data science and the management of deperation data by combining traditional microelectronics with mems sensors (microelectromechanical systems) and Legacy semiconductors. The research proposal seeks to effectively achieve the integration into a hybrid power generation unsystem a monitoring, control yoptimization control by using MEMS and semiconductors of the legacy type. Where it is intended optimization for hybrid systems of energymedianting generation. The use of legacy semiconductors and integrated usodeded circuits. This with the goal of integrating into the Methodology of Hybrid Energy Design the use of monitoring, control and high -end optimization systems to analyze the environmental impact and the energy sustainability. Thus, being the initial stage to design and conceptualize the use of monitoring desistems by Mem sensors for physical and nocuantifiable variables, the use of media emiconductor control and optimization systems Legacyy and integrated circuits dejodated.Subsequently, as it is stipulated in the Hybrid Methodology SCRUMM Autilizar, research results will be published in academic scientific journals, in addition to contributing to the training of human resources through the participation of undergraduate and postgraduate students.
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Copyright (c) 2025 Cristina Quintero Ávila , Eduardo Rafael Poblano Ojinaga , Jeovany Rafael Rodríguez Mejía , Inocente Yuliana Meléndez Pastrana , Adán Valles Chávez

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