| Title: |
Data driven indicators for smart buildings |
| Authors: |
Coujard, Clémentine; SmartBuilt4EU, Task Force members |
| Publisher Information: |
Zenodo |
| Publication Year: |
2022 |
| Collection: |
Zenodo |
| Description: |
The SmartBuilt4EU project has set up four task forces investigating issues related to smart buildings: their objective is to identify the remaining challenges and barriers to smart building deployment, and the associated research and innovation gaps that should be addressed in the near future. The topic investigated in the year 2022 addressed data-driven indicators for smart buildings focusing on data-driven indicators related to smart buildings. It addresses the following questions: How to make the ‘static’ Smart Readiness Indicator evolve towards a dynamic indicator? A ‘dynamic SRI’ could be defined as the regular update of the SRI score for a given building, and the ‘live’ verification that the referenced smart functionalities are operative. Ensuring this dynamic dimension implies that the data collection and SRI score calculation processes are automated and that links to real-time building data are implemented. How to position/connect at best the SRI with regards to other building performance indicators, that are evolving towards real-time data capturing? In particular, energy performance certificates are meant to evolve in order to gain in accuracy and convergence in the way energy performance assessments are performed, also with the perspective of using real-time data. In its first part, this paper provides a state of the art regarding the following issues, with specific attention being paid to EC-funded projects: The smart readiness indicator: status and ongoing activities to automatise its calculation and link it to real-time building data The energy performance certificates: status and ongoing activities towards harmonisation of energy performance assessment and convergence with other indicators Other building performance indicators that are connected to building smartness. A brainstorming process enabled to identify some key barriers and drivers regarding Data driven indicators for smart buildings. Based on the State of the Art and the barriers and drivers, a number of research and innovation gaps were ... |
| Document Type: |
report |
| Language: |
English |
| Relation: |
https://zenodo.org/communities/eu/; https://zenodo.org/records/7670625; oai:zenodo.org:7670625; https://doi.org/10.5281/zenodo.7670625 |
| DOI: |
10.5281/zenodo.7670625 |
| Availability: |
https://doi.org/10.5281/zenodo.7670625; https://zenodo.org/records/7670625 |
| Rights: |
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode |
| Accession Number: |
edsbas.97BBEB29 |
| Database: |
BASE |