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 language | English |
|---|---|
| Title of host publication | 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023 |
| Publisher | International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems |
| Pages | 3307-3314 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781713874928 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023 - Las Palmas de Gran Canaria, Spain Duration: 25 Jun 2023 → 30 Jun 2023 |
Publication series
| Name | 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023 |
|---|
Conference
| Conference | 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023 |
|---|---|
| Country/Territory | Spain |
| City | Las Palmas de Gran Canaria |
| Period | 25/06/23 → 30/06/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Data-driven tool
- building performance diagnostic
- commercial buildings
- energy signature
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