Data-driven tool for early building energy performance diagnostic

Olaia Eguiarte; Antonio Garrido-Marijuan; Iñigo López; Noelia Vicente-Gómez; Ander Romero-Amorrortu

doi:10.52202/069564-0297

Data-driven tool for early building energy performance diagnostic

Olaia Eguiarte^*, Antonio Garrido-Marijuan, Iñigo López, Noelia Vicente-Gómez, Ander Romero-Amorrortu

^*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

The building sector is responsible for a large part of the final energy consumption in Europe. One of the most relevant steps in the process of reducing energy consumption in buildings is the energy performance diagnostic. In this paper, a data-driven methodology to obtain early energy performance assessment of commercial buildings using the energy signature approach is used. As a result, a web-dashboard and API that can analyse user data input and produce streamlined outputs like suggestions for energy-saving measures is developed. In order to prove the correct functioning of the tool, a demo site of a commercial building in Dublin has been used.

Idioma original	Inglés
Título de la publicación alojada	36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023
Editorial	International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems
Páginas	3307-3314
Número de páginas	8
ISBN (versión digital)	9781713874928
DOI	https://doi.org/10.52202/069564-0297
Estado	Publicada - 2023
Evento	36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023 - Las Palmas de Gran Canaria, Espana Duración: 25 jun 2023 → 30 jun 2023

Serie de la publicación

Nombre	36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023

Conferencia

Conferencia	36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023
País/Territorio	Espana
Ciudad	Las Palmas de Gran Canaria
Período	25/06/23 → 30/06/23

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Eguiarte, O., Garrido-Marijuan, A., López, I., Vicente-Gómez, N., & Romero-Amorrortu, A. (2023). Data-driven tool for early building energy performance diagnostic. En 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023 (pp. 3307-3314). (36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023). International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems. https://doi.org/10.52202/069564-0297

Eguiarte, Olaia ; Garrido-Marijuan, Antonio ; López, Iñigo et al. / Data-driven tool for early building energy performance diagnostic. 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023. International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, 2023. pp. 3307-3314 (36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023).

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title = "Data-driven tool for early building energy performance diagnostic",

abstract = "The building sector is responsible for a large part of the final energy consumption in Europe. One of the most relevant steps in the process of reducing energy consumption in buildings is the energy performance diagnostic. In this paper, a data-driven methodology to obtain early energy performance assessment of commercial buildings using the energy signature approach is used. As a result, a web-dashboard and API that can analyse user data input and produce streamlined outputs like suggestions for energy-saving measures is developed. In order to prove the correct functioning of the tool, a demo site of a commercial building in Dublin has been used.",

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note = "Publisher Copyright: {\textcopyright} (2023) by ECOS 2023 All rights reserved.; 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023 ; Conference date: 25-06-2023 Through 30-06-2023",

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doi = "10.52202/069564-0297",

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series = "36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023",

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Eguiarte, O, Garrido-Marijuan, A , López, I , Vicente-Gómez, N & Romero-Amorrortu, A 2023, Data-driven tool for early building energy performance diagnostic. En 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023. 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023, International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, pp. 3307-3314, 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023, Las Palmas de Gran Canaria, Espana, 25/06/23. https://doi.org/10.52202/069564-0297

Data-driven tool for early building energy performance diagnostic. / Eguiarte, Olaia; Garrido-Marijuan, Antonio ; López, Iñigo et al.
36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023. International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, 2023. p. 3307-3314 (36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AU - Garrido-Marijuan, Antonio

AU - López, Iñigo

AU - Vicente-Gómez, Noelia

AU - Romero-Amorrortu, Ander

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AB - The building sector is responsible for a large part of the final energy consumption in Europe. One of the most relevant steps in the process of reducing energy consumption in buildings is the energy performance diagnostic. In this paper, a data-driven methodology to obtain early energy performance assessment of commercial buildings using the energy signature approach is used. As a result, a web-dashboard and API that can analyse user data input and produce streamlined outputs like suggestions for energy-saving measures is developed. In order to prove the correct functioning of the tool, a demo site of a commercial building in Dublin has been used.

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Eguiarte O, Garrido-Marijuan A , López I , Vicente-Gómez N , Romero-Amorrortu A. Data-driven tool for early building energy performance diagnostic. En 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023. International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems. 2023. p. 3307-3314. (36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023). doi: 10.52202/069564-0297

Data-driven tool for early building energy performance diagnostic

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