SEMANCO Workshop: Analysing and Visualising energy related data in our buildings, towns, and cities. http://semanco-visualization-workshop.blogspot.com.es/ La Salle Campus Barcelona, Spain, 11-12 April 2013.

1. HeatMap
Visualizing Waste of Heating Energy
Semanco Workshop Barcelona/Spain, 2013-4-11/12 Mathias Fraaß, Berlin
Beuth Hochschule
Berlin
Hochschule für Technik
und Wirtschaft, Berlin
Royal Institute of
Technology Stockholm
Technical Research
Center, Helsinki
Deos
Rheine/Berlin
Inhouse Engineering
Berlin
THEMATIC LINE 1: URBAN ENERGY DATA
▪ Sourcing energy data from consumers
▪ Energy performance indicators
THEMATIC LINE 2: INTERACTIVE INTERFACES
▪ Visualizing energy data
▪ Developing tools and platforms
THEMATIC LINE 3: BUSINESS MODELS
▪ Strategies for CO2 reduction
▪ Business models

2. heatmap
Mathias Fraaß, Berlin Semanco Workshop Barcelona/Spain, 2013-4-11/12 2
Energy savings in bad insulated buildings
Distribution of Site Energy EU 2010 (BDH)
Buildings
41%
Industrial Sector
28%
Transportations
31%
ENERGY CONSUMPTION IN BUILDINGS
15 % electric, 85 % thermal energy
Germany: ≈ 30% of PE consumption in room heating
DISTRIBUTION OF BUILDINGS (GERMANY)
≈ 20 % with good, 80 % with bad insulation standard
SAVINGS IN BAD INSULATED BUILDINGS
≈ 20 % average saving by optimization (Optimus 2004)
> 30 % savings by performance contractings

3. heatmap
Mathias Fraaß, Berlin Semanco Workshop Barcelona/Spain, 2013-4-11/12 3
Theoretical savings after optimization
OPTMIZATION MEASUREMENTS
▪ Adjustment of hydraulic balance including radiators
▪ Adjustment of supply temperature characteristic
THEORETICAL SAVINGS
(red. Qg + red. Qs + red. Qd + red. Qce) / QP
< 5% in bad insulated buildings (high Qh)
Primary
Energy
QP
Heating Energy QH (Site Energy) Heating Energy Demand Qh
Temperature ti0
Change of air β0
Qg Qs Qd Qce
(generation) (storage) (distribution) (control and emission)

4. heatmap
Mathias Fraaß, Berlin Semanco Workshop Barcelona/Spain, 2013-4-11/12 4
Practical savings after optimization
REAL LIVE SITUATION
▪ Overheated rooms due to inappropriate set points
▪ Additional losses due to window opening
PRACTICAL SAVINGS
red. ΔQP / (QP0 + ΔQP )
20..35 % in public buildings
Heizenergie QH (Endenergie)
Qg0 + ΔQg
Primär-
energie
Qp
β0 + Δβ
ti0 + Δti
Qs0 + ΔQs Qd0 + ΔQd Qce0 + ΔQce
Qh0QP0
ΔQP
QH0
ΔQH
ΔQh

5. heatmap
Mathias Fraaß, Berlin Semanco Workshop Barcelona/Spain, 2013-4-11/12 5
Improving the distribution of energy waste
OPTIMIZATION / CENTRAL AUTOMATION
▪ Lower waste potential supplied
▪ Lower effective waste
USER PARTICIPATION / DECENTRAL AUTOMATION
▪ Higher frequency of lower waste rates
▪ Lower effective waste
wϕ
wϕs
h(wϕ)
wϕm wϕm
wϕ
wϕswϕswϕm wϕm
h(wϕ)

6. heatmap
Mathias Fraaß, Berlin Semanco Workshop Barcelona/Spain, 2013-4-11/12 6
STUDY AREA
▪ Two single storeys in Beuth HS and HTW
OBJECTIVES
▪ Determining waste profiles and the improvements reached by user participation and optimization
▪ Finding the cheapest and most feasable way of establishing building heatmaps
▪ Establishing the heatmap as part of an energy management system according to ISO 50001
PROSPECTIVES
▪ Developing a business model based on implementing and maintaining building heatmaps
▪ Establishing regional and transregional heatmaps from data of building heatmaps
▪ Establishing waste variables such as the waste potential as KPI´s in guidelines
Heatmap