© ennovatis GmbH 1 Test and Demo Buildings used by ennovatis for Linking EPDB and Continuous Commissioning presentation at the 2nd BuildingEQ expert meeting.

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Presentation transcript:

© ennovatis GmbH 1 Test and Demo Buildings used by ennovatis for Linking EPDB and Continuous Commissioning presentation at the 2nd BuildingEQ expert meeting by Dan Hildebrandt, Roland Kopetzky, Frauke Schönfeld and Fritz Schmidt ennovatis GmbH Germany Helsinki, June 2007

© ennovatis GmbH 2 Contend 1.Ennovatis approach for Linking EPDB and Continuous Commissioning 2.Test building – ennovatis office building Description and first results 3.Demo building 1 University of Stuttgart Description and past results 4.Demo building 2 Hospital in Hagenow Description

© ennovatis GmbH 3 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

© ennovatis GmbH 4 Integration of kernel with ennovatis tools 2 Calc18599

© ennovatis GmbH 5 Tribute to Granlunds BIM presentation Similar interface with RIUSKA possible Integrating EBPD with E+

© ennovatis GmbH 6 Test: ennovatis office building Großpösna

© ennovatis GmbH 7 1.tabular 2.grafical => CADdict CAD 3.CAD-systemen => Import Building model 2D

© ennovatis GmbH 8 Building model 3D

© ennovatis GmbH 9 2D and 3D generation and visualisation of zones Thermal model 2D and 3D

© ennovatis GmbH 10 Result of step 1 Room based building model which can be used to  Generate thermal model to calculate demand according to DIN  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

© ennovatis GmbH 11 Energy demand as calculated by VEC and DIN VECDIN Results not yet comparable due to inadequate transfer of models

© ennovatis GmbH 12 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) Online visualization is comming soon

© ennovatis GmbH 13 Water consumption monthly

© ennovatis GmbH 14 Water consumption dayly

© ennovatis GmbH 15 Electricity consumption in week 17 in 2007

© ennovatis GmbH 16 Water and electrical consumption dayly

© ennovatis GmbH 17 Water and electrical consumption monthly

© ennovatis GmbH 18 Energy consumption

© ennovatis GmbH 19 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

© ennovatis GmbH 20 Use of 2D models for visualisation [kWh/(m²a)]

© ennovatis GmbH 21 Case Study Building 1: University of Stuttgart

© ennovatis GmbH 22 Already taken Identify energy saving potentialsIdentify energy saving potentials Install data acquisition system Model 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 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

© ennovatis GmbH 23

© ennovatis GmbH 24 Building Model CADDICT

© ennovatis GmbH 25 Visual Data Analyser Flexible graphic display Metering of consumption data

© ennovatis GmbH 26 Heating energy consumption (temperature corrected)

© ennovatis GmbH 27 Monthly energy consumption

© ennovatis GmbH 28 Case Study Building 2: Hospital in Hagenow

© ennovatis GmbH 29 Some data concerning Hagenow hospital 3 buildingsOld, new, CHP power plant rennovation1999 to 2002 construction1994 to 1998 Number of beds172 area16085,27 (NGF), 19341,83 (BGF) Consumption/cost gas kWh € water16162 m € eletricity kWh € Maximum power352 kW

© ennovatis GmbH 30 Thank you very much for your attention ennovatis GmbH Stammheimerstr. 10 D Kornwestheim fon: Address Stuttgart branch

© ennovatis GmbH 31 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

© ennovatis GmbH 32 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)