1. No category

Implementing KPIs for energy performance assessment in
brownfield districts
Anna Florea
Sustainable Places 2014, Nice, France
October 1, 2014
FP7/2007-2013 GA n° 600058
Introduction
Districts
Brownfield vs. greenfield
Infrastructure
Constraints
Recommendation
KPI
• Need for change
• Feasibility study
• Citizen in the loop
Target
Data
FP7/2007-2013 GA n° 600058
Value-chain
Eibar, Spain
 Services:
 street lighting, district heating, electric power
supply
 Actors:
 municipality, utilities, consultants, citizens
 District profile
 Daas Cloud Platform
Kalundborg, Denmark
Site and
End User
Selection
Data
Sources
Selection
/ Creation
Site
Gateway
Deploy
Profiling
Data
Capture
Deployment Framework
Profiling Methodology (Ontology)
Analysis Methodology (Use-Cases)
Barcelona, Spain
Hardware and Software DaaS Cloud Platform
FP7/2007-2013 GA n° 600058
Analysis
Retrofitting
Decisions
/ Actions
Study of data sources
Data categories
What kind of information can
be captured?
Description
Geographical
Topography of the site, climate, etc.
Intensity level
Demographic data (i.e. population density).
Wealth level
Household disposable income, surveys on comfort.
Activity level
It is a coding system of land-use planning used by local governments.
Energy studies
Technical data of buildings, street light systems, etc.
Energy
Energy consumption, CO2 emissions, etc.
Energy cost
Investment cost, energy consumption costs, etc.

How secure and reliable should be the connection from the pilot site to
the platform?
What are the data sources?
What are the communication
patterns?

How intensive is the communication between the pilot site and the
platform (Data rate and message rate)?

Which are the data sources visible for the platform and vice versa?

Considerations for third party data sources, if any.

Protocols supported by the data sources?

Availability of the data source in terms of legal access to it?

Source of the data (a specific web-site, institution etc.)?
FP7/2007-2013 GA n° 600058
KPI definition
Energy performance
Feasibility of energy savings
Relationship between energy
consumption and the needs covered.
Formula
Relationship between the cost of the
change in a current energy scenario and the
profit obtained with this change
Data Sources
FP7/2007-2013 GA n° 600058
Computation
Rule
Data Acquisition
• Scope of every data source.
• Pilot site
• Cloud
• Entry point to the platform
• Aggregation interface
• Profiling Module
• Horizontal Services
• gateways are hubs of pilot sites data sources.
• Pilot sites always start the communication to the
DCP.
Formula
Data Sources
FP7/2007-2013 GA n° 600058
Computation
Rule
KPI Computation
• Rules and calculations
• EPL syntax
• Computation triggered by incoming messages
• Engages profile data
• Data storage
• Instantiation Data
• Energy Profiles
• Sensed Data
• Key Performance Indicators
Formula
Data Sources
FP7/2007-2013 GA n° 600058
Computation
Rule
Example: Eibar Pilot site
FP7/2007-2013 GA n° 600058
Conclusions
• The solution focuses on the brownfield districts and is driven by
requirements consolidated from use-cases of different type and
scale and having different retrofitting targets.
• Multi-tenancy is an important feature of the solution allowing
managing multiple locations within one instance of the platform.
• District performance, retrofitting campaign feasibility and citizen’s
comfort considered as main drivers for KPI selection.
• A common KPI computation approach is defined, fitting different
kinds of indicators, found throughout the requirements analysis.
FP7/2007-2013 GA n° 600058
Thank you!
Questions?
[email protected]
http://urb-grade.eu