Loading...
Publication
Sistema inteligente de controlo da temperatura da água de piscina utilizando energias renováveis
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 5.12 MB | Adobe PDF |
Authors
Advisor(s)
Abstract(s)
Desde há alguns anos atrás e atualmente muito se fala das alterações climáticas como um fator que põe em risco a qualidade de vida das pessoas. Uma das causas que tem provocado essas mudanças é o uso da energia produzidas por fontes não renováveis provocando a emissões de gazes do efeito de estufa. Ao investir em geração proveniente de energias renováveis está-se em simultâneo a proteger a qualidade de vida das pessoas, a evitar as emissões de gazes de efeito de estufa e a reduzir custos financeiros, por representarem fontes de energia mais baratas em comparação com os combustíveis fósseis. O presente trabalho teve como finalidade através do uso de fontes de energia renováveis desenvolver um algoritmo com o objetivo de coordenar o funcionamento de um conjunto de equipamentos de geração de energia térmica e de armazenamento térmico, para ajustar a temperatura da água de piscinas exteriores, de acordo com as necessidades do utilizador. Para tal, o algoritmo utiliza informações recolhidas por um conjunto de sensores e previsões de variáveis meteorológicas, que são depois combinadas num contexto de otimização. A metodologia adotada passou pelo desenvolvimento de um algoritmo baseado no princípio de Model Predictive Control no qual é fundamental possuir antecipadamente o comportamento isolado das diferentes fontes de energia quando aplicadas ao sistema, garantindo desta forma a capacidade de fazer uma previsão da saída do sistema nas mais diversas combinações das fontes de energia. O trabalho desenvolvido permite ao utilizador monitorizar, alterar e ajustar a temperatura da água na piscina através da utilização de uma plataforma web e de uma Interface Homem Máquina (HMI) que combinadas permitem a interação entre o utilizador e o algoritmo.
Since a few years ago, a lot has been mentioned about climate change as a factor that puts people's quality of life at risk. One of the causes of this change is the use of energy produced by non-renewable sources, which causes greenhouse gas emissions. Investing in renewable energy generation simultaneously protects people's quality of life, avoids greenhouse gas emissions and at the same time saves money because it is a cheaper source of energy when compared to fossil fuels. The purpose of this work was to develop an algorithm using renewable energy sources, with the aim of coordinating the operation of a set of thermal energy and thermal storage sources to adjust the water temperature of outdoor swimming pools according to the user's needs. To do this, it uses information collected by a set of sensors together with weather forecasts, which are then combined in an optimization context. The methodology adopted considered the development of an algorithm based on the principle of Model Predictive Control in which it is essential to know in advance the isolated behavior of the different energy sources when applied to the system, thus guaranteeing the ability to predict the system's output in the most diverse combinations of energy sources. The work developed allows the user to monitor, change and adjust the water temperature in the pool through the use of a web platform and a Human Machine Interface (HMI) which, combined, allow interaction between the user and the algorithm.
Since a few years ago, a lot has been mentioned about climate change as a factor that puts people's quality of life at risk. One of the causes of this change is the use of energy produced by non-renewable sources, which causes greenhouse gas emissions. Investing in renewable energy generation simultaneously protects people's quality of life, avoids greenhouse gas emissions and at the same time saves money because it is a cheaper source of energy when compared to fossil fuels. The purpose of this work was to develop an algorithm using renewable energy sources, with the aim of coordinating the operation of a set of thermal energy and thermal storage sources to adjust the water temperature of outdoor swimming pools according to the user's needs. To do this, it uses information collected by a set of sensors together with weather forecasts, which are then combined in an optimization context. The methodology adopted considered the development of an algorithm based on the principle of Model Predictive Control in which it is essential to know in advance the isolated behavior of the different energy sources when applied to the system, thus guaranteeing the ability to predict the system's output in the most diverse combinations of energy sources. The work developed allows the user to monitor, change and adjust the water temperature in the pool through the use of a web platform and a Human Machine Interface (HMI) which, combined, allow interaction between the user and the algorithm.
Description
Keywords
Model Predictive Control Energias Renováveis Controlo Otimização Previsões