These are the supporting materials used by the different speakers of the H2020 WHY project opening session. This evento was held on September 10, 2020.
Unit 1 - introduction to environmental studies.pdf
EERAdata: Data-driven decision-support to increase energy efficiency through renovation in European building stock.
1. This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 847101
2. This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 847101
Energy Efficiency First
Principle
▪ Energy efficiency is an energy source in its own right
▪ The IEA called energy efficiency the “first fuel” in 2013
▪ It showed that energy savings from efficiency measures
exceeded the output of every other fuel in 11 IEA countries from
1974-2010
3. This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 847101
EERAdata starting point
Principle
Is the Energy Efficiency First principle the right approach?
… there is need to gather the evidence on the benefits of EE in
ecological and socio-economic terms as well as on its interactions
with the broader policy context and energy market
4. This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 847101
EERAdata
in a Nutshell
▪ We accompany municipalities from the collection of their building stock data
from different sources,(merging data) to analysis and assessment of this data
by ecological, economical and environmental criteria.
▪ We develop a tool which is easing the process of guiding sustainable
renovation activities for portfolio managers, city planners and related
stakeholders
▪ This results in long-term renovation strategies, focusing on energy efficiency,
socio-economic benefits and ecological quality of existing buildings
5. This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 847101
EERAdata
Consortium
6. This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 847101
EERAdata
Implementation
3 Clusters for
Implementation
Strong Stakeholder
network
Collaboration outside
the consortium
Workshops
Symbiosis with other
projects
Partner municipalities will
participate to the design of the tool
and test its application in regional
pilots.
The pilots will be part of a wider
process of stakeholder
engagement aimed at ensuring the
usefulness of the different
instruments, their applicability
across different geographical and
economic contexts, and its adoption
beyond the life-span of the
project.
7. This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 847101
EERAdata
Methodology
EERAdata operationalises the Energy Efficiency First principle by assessing and
quantifying relevant technical, economic, socio-economic and environmental
variables, indicators and impacts across relevant sectors and markets.
8. This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 847101
EERAdata in a Nutshell
Methodology
9. This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 847101
EERAdata DST
Integration
• Integration of the tool into existing
environments
• Integration into work-flows
• Integration into data-streams
• Integration into existing policies
• Integration within the data protection of the
municipality / region
10. This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 847101
EERAdata DST
Data collection
USERS EERAdata
Municipalities/ Regions
EERAdata DST
Metadata
User data
Algorithms
Renovation
measures
Calculation methods
Reporting functions
GIS
Scientific data
Municipal data
(statistics, etc)
Building stock data
Socio-economic
data
Data collection
Onboarding
Link to database
Manual entry
Environmental data
Policy and
regulation data
Models and
simulations
Statistical data
Experimental data
Knowledge data
11. This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 847101
Methodologies
Calculation modules
Data
preparation
- Cleaning
- Development of database
- Validation
Energy
demand and
consumption
calculation
Life-Cycle-
Assessment
Indoor
Climate -
Assessment
- Static modelling
- Building specific
- Energy consumption
- Energy demand
- Energy sources
- Environmental impact
- Embedded energy
- CO2 emissions
- LCA of building
technology
- Productivity effects
- Well-being
- Health effects
- Monetisation of indoor
climate effects
Socio-
Economic
Assessment
Supply Side
Assessment
- Quantification and
monetisation of wider
benefits
- Bayesian network
approach
- Knowledge based
- Rankings and factors
- Simplified supply-side
model
- Counterpart
- Energy-efficiency vs.
Supply side
12. This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 847101
• Different development scenarios
• Compiled results (overall cost / benefits)
• Targeted on user groups and
Stakeholders
• Visualisation in GIS
• Expert mode for
further
processing
Methodologies
Reporting
13. This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 847101
• A lot of overlap
• Synergies between forces, time and knowledge
• Dissemination and communication
• Links and information from other projects on our social-
media and website
• Improving scientific models, create taskforces
• EERAdata Webinar on the 28.10.2020
EERAdata
Collaboration