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A database for appliances real-life energy performance and consumption assessment
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Resumo(s)
Nowadays, the reduction of energy consumption is a pressing matter for the European Union and one field that remains a large part of this energy contribution is the EU buildings and the energy consuming equipment inside. The use of energy labels, in order to assess the energy efficiency on European buildings, has proven to not be enough due to the difference between prediction consumption and real life energy consumption.
The SATO platform aims to provide cloud-based self-assessment and optimization of buildings and equipment/appliances energy. It achieves this goal by collecting data about the energy performance of various devices, both legacy and new, through the use of sensors. One of the objectives of this platform is to develop the databases and its dashboards to store and visualize data on the energy consumption of building appliances. With this goal in mind, this thesis will be able to provide the users a comparison between
the design predictions and the real live consumption. This comparison is done resorting to the EU energy label metrics, that are stored on the EPREL database. This database contains the energy efficiency information about the devices covered by the Energy labelling regulation, and it was created with the goal of providing the public with this information. The sensor data metrics are obtained by applying the formulas in the regulation on energy labelling for the respective device type. Addi tionally, since this thesis is meant to be integrated in the SATO platform, this databases and metrics will be used in the assessment and development of optimization algorithms for devices and buildings. The current implementation makes available two databases, one to store sensor data and another for metadata and metrics, as well as two different dashboards, one to show
device real time consumption’s, consumption metrics and device meta-data, and another to provide the users with a simple comparison between the expected consumption and the real live consumption. Testing was done with two different device types, electronic displays and household refrigerators, with the expectations in mind of the real life consumption being above the displayed the EU energy label. The results ended up being different from the predicted, with the real live consumption obtained from the sensor data being the highest. This may
be due to the low amount of collected data.
Descrição
Trabalho de Projeto de Mestrado, Informática, 2022, Universidade de Lisboa, Faculdade de Ciências
Palavras-chave
Base de dados de séries temporais Rótulo energético Métricas de consumo Dados de sensores Teses de mestrado - 2022