Visualization of CONCERTO Data

Dan GutuProf. Andreas Wagner

Workshop on data status and first CONCERTO Premium resultsBrussels, October 23rd 2012

Karlsruhe Institute of Technology (KIT)

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Software Components Overview

TMDConcerto Data

Semantic Layer

Concerto Knowledge Base

General facts & rules

Customized facts & rules

Data Monitor

Visualization

Reasoner

Interactive sandbox

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

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Visualization Workflow Concept

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Filtered by metadata

Filtered by map1

Select ion of buildings and ESUs

Suitable to sel. indicators

selected buildings and

ESUs

selected indicators

Results

CSV-Export

table / graphics

change selection

Filtered by occasion

2 Filtered by role

Filtered by topic

Selection of indicators

 suitable to sel. objects

Selection of Objects by Map

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• Selection of buildings and Energy Supply Units (ESUs) from CONCERTO cities by map

• Simultaneous pre-checking of calculability regarding selected indicators

Selection of Objects by Filtered List

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• Selection of buildings and ESUs from lists

• Metadata-based filtering of listed buildings and ESUs

• Simultaneous pre-checking of calculability with respect to selected indicators

Selection of Indicators

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• Selection of indicators for buildings and ESUs from lists

• Metadata-based filtering of listed indicators

• Simultaneous pre-checking of calculability with respect to selected buildings and ESUs

Filtering

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• Metadata-based filtering of listed buildings, ESUs and indicators

• Aggregation of filters for buildings, ESUs and indicators

Building filtering criteria

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• 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 – …

ESU filtering criteria

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• 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 – …

Indicator filtering criteria

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• 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

Representation of results – buildings

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demand = consu

mption

demand = consumption/2

demand = 2*consumption

Representation of results – buildings

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Representation of results - ESUs

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0 20 40 60 80 100 120 140 160 1800

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4

6

8

10

12

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AustriaLinear (Austria)Czech RepublicLinear (Czech Republic)FranceLinear (France)GermanyLinear (Germany)IrelandLinear (Ireland)SwedenLinear (Sweden)

Surface [m²]

CO2-emission reduction [t/a]

Representation of results - ESUs

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Czech Denmark France Germany Italy0

2000

4000

6000

8000

10000

12000

0

2 0 0 0

4 0 0 0

6 0 0 0

8 0 0 0

1 0 0 0 0

1 2 0 0 0

Investments [€/kW]

Building integrated photovoltaics

Demonstration – Scenario

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