Design of monitoring tool for decision making in buildings with solar energy generation
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2024
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Elsevier B.V.
Resumen
The work presented in this article is part of a project that focuses on the field of energy and sustainability and is aligned with the objectives of sustainable development, specifically goal seven, affordable and clean energy, and goal eleven, sustainable cities and communities. The photovoltaic solar installation for self-consumption at the Deusto University's residence hall been modelled using generation data, consumption data, meteorological data, and installation components. Although the actual installation features an anti-feeding system, the model allows to evaluate potential energy surpluses. To achieve this objective, it has been necessary to collect, transform, and thoroughly clean the data from the solar inverters, as well as store them for later representation. To process, visualize, and analyse data, the web application developed allows users to understand quickly and easily the patterns and trends related to energy consumption through various graphics, providing a clear and accessible visual presentation of the data that helps them make decisions to optimize energy consumption. In addition, an application has been developed that allows to assess whether or not removing the anti-feeding system and modifying the contract with the distribution company may be favourable.
Palabras clave
Big data
Consumption models
Energy efficiency
Management application
Solar energy generation
Consumption models
Energy efficiency
Management application
Solar energy generation
Descripción
Ponencia presentada en la 28th International Conference on Knowledge Based and Intelligent information and Engineering Systems (KES 2024), celebrada en Sevilla, entre el 11 y el 13 de septiembre de 2024
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Cita
Quintanilla, J. I. G., Macarulla Arenaza, A. M., Bedoya, N. I. S., & Castillo, V. C. (2024). Design of monitoring tool for decision making in buildings with solar energy generation. Procedia Computer Science, 246(C), 1090-1099. https://doi.org/10.1016/J.PROCS.2024.09.528