Diseño de un sistema IoT para el análisis de parámetros térmicos y calidad de la energía en la planta de Generación Fotovoltaica de la Facultad de Ingeniería

This research project aims to design and implement an IoT monitoring system for the analysis of thermal parameters and energy quality in a photovoltaic generation plant at the Faculty of Engineering. The general objective of the work is to design and implement an IoT system for the analysis of therm...

Бүрэн тодорхойлолт

-д хадгалсан:
Номзүйн дэлгэрэнгүй
Үндсэн зохиолч: Herrera Pazmiño, Diego Wladimir (author)
Формат: bachelorThesis
Хэл сонгох:spa
Хэвлэсэн: 2023
Нөхцлүүд:
Онлайн хандалт:http://dspace.unach.edu.ec/handle/51000/12106
Шошгууд: Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
Тодорхойлолт
Тойм:This research project aims to design and implement an IoT monitoring system for the analysis of thermal parameters and energy quality in a photovoltaic generation plant at the Faculty of Engineering. The general objective of the work is to design and implement an IoT system for the analysis of thermal parameters and energy quality in the faculty's photovoltaic generation plant. We will study photovoltaic systems compatible with IoT services. Analyze different IoT platforms and services that allow data processing and analysis for monitoring photovoltaic systems. Design a monitoring, data processing, and analysis system for a photovoltaic installation based on IoT technology, virtual services, and cloud computing. Evaluate the functionality of the proposed monitoring system according to the monitoring requirements of a photovoltaic system. The results of the research work show that the implementation of an IoT monitoring system for the análisis of thermal parameters and energy quality in a residential photovoltaic generation plant is a viable and efficient solution. The proposed system allows for remote and real-time monitoring of the electrical and thermal parameters of the installation, facilitating the detection of potential issues and the optimization of plant performance.