© ennovatis gmbh 1 test and demo buildings used by ennovatis for linking epdb and continuous...
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![Page 1: © ennovatis GmbH 1 Test and Demo Buildings used by ennovatis for Linking EPDB and Continuous Commissioning presentation at the 2nd BuildingEQ expert meeting](https://reader034.vdocuments.mx/reader034/viewer/2022051820/56649ec55503460f94bcf88e/html5/thumbnails/1.jpg)
1© ennovatis GmbH
Test and Demo Buildings used by ennovatis for Linking EPDB and Continuous Commissioning
presentation at the 2nd BuildingEQ expert meeting
byDan Hildebrandt, Roland Kopetzky,
Frauke Schönfeld and Fritz Schmidt
ennovatis GmbH Germany Helsinki, June 2007
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2© ennovatis GmbH
Contend
1. Ennovatis approach for Linking EPDB and Continuous Commissioning
2. Test building – ennovatis office buildingDescription and first results
3. Demo building 1 University of Stuttgart Description and past results
4. Demo building 2 Hospital in Hagenow Description
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3© ennovatis GmbH
General strategy to evolve EA into EM including EPBD
Select building from building stock Level 0
Perform Level 1 EA using the multi zone model of EPBD
Extend Level 1 EA through Short term measurements Simulation kernel based on hourly methods
including system simulation (e.g. Energy+) Detailed descriptions of loads
result is Level 2 EA
Replace short term through long term measurements, adapt demand model and introduce model based EM – Level 3
L0
L1
L2
L3
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4© ennovatis GmbH
Integration of 18599 kernel with ennovatis tools 2
Calc18599
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5© ennovatis GmbH
Tribute to Granlunds BIM presentation
Similar interface with RIUSKA possible
Integrating EBPD with E+
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6© ennovatis GmbH
Test: ennovatis office building Großpösna
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7© ennovatis GmbH
1. tabular
2. grafical => CADdict CAD
3. CAD-systemen
=> Import
Building model 2D
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8© ennovatis GmbH
Building model 3D
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9© ennovatis GmbH
2D and 3D generation and visualisation of zones
Thermal model 2D and 3D
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10© ennovatis GmbH
Result of step 1
Room based building model which can be used to
Generate thermal model to calculate demand according to DIN 18599
Generate thermal model to calculate demand according to VDI 2067
Generate thermal model to calculate consumption according to VDI 2067
Generate thermal model to calculate component behaviour according to E+
Visualization of results Communication of results and measures with owner and
tenants
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11© ennovatis GmbH
Energy demand as calculated by VEC and DIN 18599
VEC DIN 18599
Results not yet comparable due to inadequate transfer of models
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12© ennovatis GmbH
Measurements in the test building
The following data are collected through ennovatis-Smartbox:
External temperature (1/min) Electricity for heating
lightening and internal loads (1/15min)
Gas (1/15min) Temperature Server-room
(1/min) Water (1/15min)
0012344500123445
0012344500123445
0012344500123445
0012344500123445
Funk-Zentrale
0012344500123445
0012344500123445
0012344500123445
0012344500123445
Funk-Zentrale
EDM-Server
ISDN/ Analog/ GSM
0101010101
EDM-Server
ISDN/ Analog/ GSM
01010101010101010101
Online visualization is comming soon
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13© ennovatis GmbH
Water consumption monthly
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14© ennovatis GmbH
Water consumption dayly
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15© ennovatis GmbH
Electricity consumption in week 17 in 2007
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16© ennovatis GmbH
Water and electrical consumption dayly
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17© ennovatis GmbH
Water and electrical consumption monthly
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18© ennovatis GmbH
Energy consumption
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19© ennovatis GmbH
First preliminary conclusions (to be confirmed)
We can use the EPBD geometry model to calculate both energy demand and energy consumption
We can derive from measured consumption data (water and electricity) valuable information to determine the internal loads
We still have to improve the profiles for the consumption simulation
We expect to be able to predict the energy consumption with an accuracy of 5% or better
Measures to improve energy efficiency can be derived from the hourly data. They should be applied if discrepancies become more than 5%
We also will be able to derive rules for modeling of buildings and building systems to achieve the 5% accuracy
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20© ennovatis GmbH
Use of 2D models for visualisation
[kWh/(m²a)]
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21© ennovatis GmbH
Case Study Building 1: University of Stuttgart
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22© ennovatis GmbH
Already takenAlready taken• Identify energy saving potentialsIdentify energy saving potentials
Install data acquisition systemInstall data acquisition systemModel and analyze buildingModel and analyze building
• Define measures to be takenDefine measures to be taken• Realize the defined measuresRealize the defined measures• Implement an energy management systemImplement an energy management system• Visual control of the consumptionsVisual control of the consumptions
Next Steps Next Steps • Generate energy certificateGenerate energy certificate• Simulate consumptionSimulate consumption• Develop methods to reduce consumption to demandDevelop methods to reduce consumption to demand
Steps taken and planned
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23© ennovatis GmbH
Typical Temperature-, Power- and Mass Flowcharacteristics (Nov. 2004)
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Tem
per
atu
re i
n °
C,
ther
mal
po
wer
in
kW
0
200
400
600
800
1000
1200
1400
1600
Mas
s F
low
in
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Supply Temperature Return Temperature Outside Temperature Thermal Power Mass Flow
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24© ennovatis GmbH
Building Model
CADDICTCADDICT
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25© ennovatis GmbH
Visual Data AnalyserVisual Data Analyser
Flexible Flexible graphic displaygraphic display
Metering of consumption data
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26© ennovatis GmbH
Wärmeenergieverbrauch VFG mit Witterungsbereinigung über Gradtage
0
100.000
200.000
300.000
400.000
500.000
600.000
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kWh
/a
Wärme 713275 805028 741183 705611 469028 537021
2001 2002 2003 2004 2005 2006
36,7% 27,6%
Heating energy consumption (temperature corrected)
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27© ennovatis GmbH
Jahresverlauf des Wärmeenergieverbrauchs, witterungsbereinigt
0
20
40
60
80
100
120
140
MWh/a
Wärme, 2001 113,3 99,3 90,2 62,5 48,1 18,8 26,8 0,0 0,0 44,3 93,7 135,4
Wärme, 2002 115,6 114,1 94,0 62,3 42,3 41,7 59,7 20,8 32,6 62,8 84,4 115,4
Wärme, 2003 141,3 104,3 78,7 60,9 33,5 6,5 8,8 39,3 41,3 44,8 66,0 118,6
Wärme, 2004 126,1 106,3 95,7 62,1 30,9 11,9 4,3 12,0 30,6 47,9 80,1 98,9
Wärme, 2005 113,1 67,3 50,8 30,8 16,8 8,1 3,3 2,4 16,3 31,4 52,8 77,5
Wärme, 2006 87,6 75,3 66,0 43,7 21,0 15,3 4,0 8,4 64,3 43,5 55,7 75,7
Januar Februar März April Mai Juni Juli August September Oktober November Dezember
Monthly energy consumption
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28© ennovatis GmbH
Case Study Building 2: Hospital in Hagenow
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29© ennovatis GmbH
Some data concerning Hagenow hospital
3 buildings Old, new, CHP power plant
rennovation 1999 to 2002
construction 1994 to 1998
Number of beds 172
area 16085,27 (NGF), 19341,83 (BGF)
Consumption/cost
gas 3.248.811kWh 136.781€
water 16162 m3 63.242€
eletricity 1.619.368kWh 171.311€
Maximum power 352 kW
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30© ennovatis GmbH
Thank you very much for your attention
ennovatis GmbHStammheimerstr. 10D-70806 Kornwestheim
E-Mail: [email protected]
fon: +49 7154-83600-69
http://www.kenwo.de
http://www.ennovatis.de
Address Stuttgart branch
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31© ennovatis GmbH
Vom Energieausweis zur modellbasierten Betriebsanalyse
Klassifizierung der Gebäude über benchmarking: Level 0 Energie Audit
Level 1 EA Ausstellung Energieausweis einschließlich Maßnahmen
Erweiterung des Level 1 EA durch Kurzzeit Messungen Anlagensimulation auf Basis stündlicher
Werte (e.g. Energy+) Detailierte Beschreibung der inneren Lasten
Ergebnis Level 2 EA
Übergang von Kurzzeit zu Langzeit Messungen; Anpassung des Bedarfsmodels Übergang zum modelbased EM – Level 3
L0
L1
L2
L3
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32© ennovatis GmbH
Measurements in the test building
Die folgenden Daten werden über eine ennovatis-Smartbox
gesammelt:
Außentemperatur (1/min) Strom für Pumpen,
Beleuchtung und innere Lasten (1/15min)
Gas (1/15min) Temperatur Server-Raum
(1/min) Wasser (1/15min)
0012344500123445
0012344500123445
0012344500123445
0012344500123445
Funk-Zentrale
0012344500123445
0012344500123445
0012344500123445
0012344500123445
Funk-Zentrale
EDM-Server
ISDN/ Analog/ GSM
0101010101
EDM-Server
ISDN/ Analog/ GSM
01010101010101010101