IEA Energy in Buildings and Communities

Transcription

1 IEA EBC Annex 58 Reliable building energy performance characterisation based on full scale dynamic measurements Operating Agent: Staf Roels, KU Leuven Belgium IEA Energy in Buildings and Communities IEA EBC ExCo-meeting Achieving near-zero energy use through open innovation BUILD UP Web Seminar February 18 th, 2014

2 Interest Background: Renewed interest in full scale testing

3 Possible explanations for renewed interest: Full scale dynamic testing can help to validate our calculation tools (building energy simulation models). This becomes more important when moving towards nzeb Full scale testing allows to investigate the performances in reality (including workmanship) Full scale testing can be used to assess the representativity of laboratory testing (e.g. thin reflective foils) Full scale testing is a necessary tool to characterise advanced components and systems and to evaluate nearly zero energy buildings 3

4 Measurements of thermal performance of newly erected dwellings in UK: measured vs. predicted overall heat losses (W/K) Figure from [Wingfield et al., 2011] Full scale testing is essential to characterise the real thermal performance of buildings 4

5 Measurements at CIMNE (Lleida, Spain): analysis of dynamic thermal response of ventilated photovoltaic double skin facade Full scale testing is essential to integrate the behaviour of new advanced building components in a correct way in BES-models 5

6 Measurements at IBP (Fraunhofer, Germany): Common exercise within IEA EBC Annex 58: dynamic response of buildings Full scale testing is essential to verify our current BES-models 6

7 Test infrastructure Experimental set-up Data analysis Use of results Full scale testing requires quality! 7

8 Annex 58 Objectives IEA EBC Annex 58 Reliable building energy performance characterisation based on full scale dynamic measurements - Determine the actual energy performance of buildings - Characterise the dynamic behaviour of buildings (grey box models) - Validate our numerical BES-models - Guarantee quality of measurements / data analysis / use of the results

9 Test infrastructure Experimental set-up Data analysis Use of results Annex 58 Collection and evaluation of in situ activities Subtask 1 Structure of Annex 58 Subtask 2 Network of Excellence Subtask 5 Subtask 3 Application of developed concepts Subtask 4

10 ST1 State of the art on full scale testing and dynamic data analysis Subtask 1 provides overview of Existing full scale test facilities Common data analyis methods 10 U-value of building components based on heat flux meters; U & g of building components tested in outdoor calorimetric test cells; UA & ga of whole buildings based on co-heating tests; Energy model characterization of whole buildings based on monitored dynamic energy and climatic data. 10

11 ST2 Optimising full scale dynamic testing Subtask 2 develops a decision tree for - building fabric characterisation and - whole building energy characterisation Building Fabric characterisation resistance / capacity / solar transmittance User behavior Building System Building energy characterisation

12 Power[W] ST2 Optimising full scale dynamic testing From quasi-static co-heating tests towards fast dynamic characterisation 7000, , , , ,000 before: y = x after: y = x 2000, ,000 0,000 0,000 5,000 10,000 15,000 20,000 25,000 ΔT [ C]

13 ST3 Dynamic data analysis and performance characterisation Subtask 3 develops quality procedures for full scale dynamic data analysis Common exercises to come up with a methodology for a reliable characterisation

14 ST3 Dynamic data analysis and performance characterisation ROUND ROBIN EXPERIMENT : general objectives Comparative experiment on testing and data analysis Scale model of a simplified building (only known by KU Leuven) To be tested by different partners: Different weather and measurement devices. BBRI, Belgium : January 2013 February 2013 CIEMAT, Almería, Spain: April 2013 August 2013 UPV/EHU, Bilbao, Spain: September December 2013 ENTPE, Lyon, France: January 2014 July 2014 BBRI-BELGUIM CIEMAT - SPAIN CTU, Prague, Czech Republic July

15 ST3 Dynamic data analysis and performance characterisation ROUND ROBIN EXPERIMENT : general objectives Determine the state-of-the-art on experiment design, full scale measurements and dynamic data analysis : where are we as experts at the moment? Allows investigating the: Capabilities, limitations and reliability of full scale testing Capabilities, limitations and reliability of dynamic data analysis Influence of variables such as climatic conditions on characterization tools Provides a well documented data set for validation of data analysis tools BBRI-BELGUIM CIEMAT - SPAIN

16 ST3 Dynamic data analysis and performance characterisation

17 UA value (W/K) ST3 Dynamic data analysis and performance characterisation 5,0 4,5 CE3 and CE3b CE4 4,0 3,5 3,0 2,5 2, Participant

18 ST4 Application of the developed framework Subtask 4 will show applications of the developed concepts and demonstrate the importance of reliable full scale dynamic testing. Three applications have been put forward: ST4.1. Verification of common BES-models based on in situ dynamic data - validation and verification of BES-models based on full scale tests - important addition to intermodel comparison (e.g. BESTEST, EN ISO 13792,...) ST4.2. Towards a characterisation of buildings based on in situ testing and smart meters - explore possibilities to characterise an actual building based on dynamic data analysis and information from home automation, smart meter readings,... ST4.3. Application of dynamic building characterisation for optimising smart grids - buildings both consume energy and act as distributed renewable energy sources - identify suitable models for describing the energy dynamics of buildings e.g. to optimise smart grids, smart meters and controllers 18

19 ST4 Application of the developed framework FULL SCALE EXPERIMENT TO VALIDATE NUMERICAL BES-MODELS 19

20 ST4 Application of the developed framework Modelling teams confirmed Bsim (1) Dynbil (1) Energyplus (2) ESP-r (2) IESVE (1) Hamlab (1) Matlab (1) Modellica (7) TRNSYS (3) Vabi (1) 20

21 ST4 Application of the developed framework Imposed experimental schedule Temp Heat Input Init Const temp ROLBS Re-init Free-float 21

22 ST4 Application of the developed framework Some first results analysis is in progress 22

23 ST5 Network of excellence Subtask 5 will create a network on in situ testing and dynamic data analysis. This network can advise organisations/industry interested in testing campaign on the whole process of in situ testing 23

24 ST5 Network of excellence

25 ST5 Network of excellence Annex 58 and DYNASTEE: current activities Website of Dynastee: Regular newsletters; Organisation of workshops: - high performance buildings, Brussels meeting, spring 2014, Belgium - meeting, autumn 2014, USA Summer school - Copenhagen, Denmark Almeria, Spain,

26 Annex 58 Participants IEA EBC Annex58-team 14 countries 28 institutes Austria, Belgium, China, Czech Republic, Denmark, Finland, France, Germany, Italy, The Netherlands, Norway, Spain, UK, USA

27 Annex 58 Conclusions Conclusions - IEA EBC Annex 58 shows that there is a large international interest in full scale testing and dynamic data analysis - Different reasons why full scale testing remains necessary: - verification of numerical models - evaluation of performance in reality - characterisation of advanced components - development of reliable simplified models for optimisation of predictive control, smart grids, - With IEA EBC Annex 58, research institutes and industrial partners join their effort to make a step forward towards real energy efficient buildings