Data-driven tool for early building energy performance diagnostic

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023
PublisherInternational Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems
Pages3307-3314
Number of pages8
ISBN (Electronic)9781713874928
DOIs
Publication statusPublished - 2023
Event36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023 - Las Palmas de Gran Canaria, Spain
Duration: 25 Jun 202330 Jun 2023

Publication series

Name36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023

Conference

Conference36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023
Country/TerritorySpain
CityLas Palmas de Gran Canaria
Period25/06/2330/06/23

Funding

This study has been carried out in the context of SmartSPIN project. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101033744. This publication reflects only the authors' views and neither the Agency nor the Commission are responsible for any use that may be made of the information contained therein.

FundersFunder number
Commission
Horizon 2020101033744

    Keywords

    • Data-driven tool
    • building performance diagnostic
    • commercial buildings
    • energy signature

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