Visualization of CONCERTO
Data
Dan Gutu
Prof. Andreas Wagner
Workshop on data status and first CONCERTO Premium results
Brussels, October 23rd 2012
Karlsruhe Institute of Technology (KIT)
1
Software Components Overview
Visualization
Interactive
sandbox
Semantic Layer
Concerto Knowledge Base
General
facts & rules
Customized
facts & rules
TMD
Concerto Data
Data
Monitor
Reasoner
Objectives of Visualization
 Provide visual support for the decision
making processes regarding energy
efficiency measures
 Realization through a user-friendly
visualization approach of data and
indicators related to Buildings and Energy
Supply Units
3
Visualization Workflow Concept
Select ion of buildings and ESUs
Filtered by metadata
1
Filtered by map
selected
buildings and
ESUs
Suitable to sel. indicators
table /
graphics
Results
CSV-Export
Selection of indicators
change
selection
Filtered by occasion
Filtered by role
2
Filtered by topic
selected
indicators
suitable to sel. objects
4
Selection of Objects by Map
• Selection of
buildings and
Energy Supply
Units (ESUs) from
CONCERTO
cities by map
• Simultaneous
pre-checking of
calculability
regarding
selected
indicators
5
Selection of Objects by Filtered List
• Selection of buildings
and ESUs from lists
• Metadata-based
filtering of listed
buildings and ESUs
• Simultaneous prechecking of
calculability with
respect to selected
indicators
6
Selection of Indicators
• Selection of
indicators for
buildings and ESUs
from lists
• Metadata-based
filtering of listed
indicators
• Simultaneous prechecking of
calculability with
respect to selected
buildings and ESUs
7
Filtering
• Metadata-based
filtering of listed
buildings, ESUs
and indicators
• Aggregation of
filters for
buildings, ESUs
and indicators
8
Building filtering criteria
•
Building status
– new
– refurbished
•
Building type
–
–
–
–
•
•
•
industrial
municipal
residential
tertiary
Year of construction
Area
Features and measures
–
–
–
–
–
–
Thermal bridges
Improvement of air tightness
Special building materials
Shading
Ventilation
…
•
Technology used before and after
refurbishment
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
Boiler
Condensing boiler
District heating/cooling network
Compression/absorption/adsorption pump
Solar thermal collectors
Solar air collectors
Night storage heater
Electric heating
Stove
Continuous flow water heater
Compression refrigerator machine
Conventional HVAC machine
Reversible heat pump
Absorption/adsorbtion pump
Micro CHP
Connection to electricity grid
…
9
ESU filtering criteria
•
ESU type
–
–
–
–
–
–
–
–
–
–
–
–
–
–
Boiler
Solar-thermal
Heat pump
Micro CHP
Photovoltaic
Chiller
Biomass
Geothermal
Wind power
Hydro power
District heating
Thermal storage
Biogas
…
•
ESU energy carrier
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
Light/heavy oil
Domestic gas – grid bound/from tank
Liquefied petroleum gas
Hard coal
Lignite
Wood chips
Pellets
Bio waste
Energy crops
Biogas
District heat/cold
Solar radiation
Ambient air
Geothermal heat
Wind energy
Potential energy
Electricity/’Green’ electricity
…
10
Indicator filtering criteria
• By target group
– Building owner or
developer
– Utiltiy or energy service
– Authority and legislation
– Grants, funding, insurance
– Energy consultancy
– Building services
– Public
• By topic
–
–
–
–
Economic
Environmental
Economic-environmental
Indicators for grant
providers
• By occasion
–
–
–
–
–
–
–
–
–
–
New construction of building
Refurbishment of building
Sale or purchase of building
Implementation of large-scale
energy supply
Sale or purchase of land
Set-up of masterplan
Set-up of legislation
Design of information
campaign
Design of grant scheme
Set-up of municipal targets
11
Representation of results – buildings
demand = 2*consumption
12
Representation of results – buildings
13
Representation of results - ESUs
CO2-emission
reduction [t/a]
50
45
Austria
40
Czech Republic
France
35
Germany
30
Ireland
Sweden
25
Linear (Austria)
20
Linear (Czech Republic)
15
Linear (Germany)
Linear (France)
Linear (Ireland)
10
Linear (Sweden)
5
0
0
100
200
300
Surface [m²]
14
Representation of results - ESUs
Building integrated photovoltaics
Investments
[€/kW]
12000
12000
10000
10000
8000
8000
6000
6000
4000
4000
2000
2000
0
0
Czech Denmark France Germany
Italy
15
Demonstration – Scenario
16