building energy performance modelling and simulation 4
TRANSCRIPT
1
2012/2013
© ČVUT v Praze, FSv K125 prof.Kabele
BUILDING ENERGY PERFORMANCE MODELLING AND SIMULATION 4
125BEPM,MEB,MEC prof.Karel Kabele 27
When to use simulation in building energy performance analysis?
• Early phase of building conceptual design to predict energy performance of the alternative solutions to support designer decision process (building shape, initial facade and shading, HVAC concept)
• Modeling non-standard building elements and systems (double-facade, atrium, natural ventilation, renewables, solar technologies, intgrated HVAC systems)
• Investigation of the operational breakdowns and set-up of control systems (HVAC, adaptive control, self-learning systems,…)
• Indoor environment quality prediction (temperatures, air flow patterns, PMV,PPD)
• Analysis of energy saving measures to energy use
• Operation cost calculation and consequently cost distribution among users at multiuser – single meter buildings
125BEPM,MEB,MEC prof.Karel Kabele 29
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© ČVUT v Praze, FSv K125 prof.Kabele
Considerations for program selection
• Program documentation
• Ease of use
• Compatibility with other packages
• Flexibility
• Available support
• Existence of user forums for exchange of experiences
• Validity of the program
• Use approval
(IEA 1994, ASHRAE Handbook 2009) 125BEPM,MEB,MEC 30 prof.Karel Kabele
Considerations for program selection
(IEA 1994, ASHRAE Handbook 2009)
• Existence of application examples similar to those for which it is required
• Guidance for its use when carrying out specific performance assessments
• Sensitivity
• Versatility
• Cost of program
• Speed and cost of analysis
• Ease of use
125BEPM,MEB,MEC 31 prof.Karel Kabele
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© ČVUT v Praze, FSv K125 prof.Kabele
Basic principle of modelling and simulation approach
• Problem analysis – identification of the zones, systems,plant components and their dependencies
• Assignment definition
• Boundary condition definition
• Definition of detail scale and model range
• Proper tool selection
• Sensitivity analysis
• Results validation
„Virtual laboratory is not design tool…“
125BEPM,MEB,MEC prof.Karel Kabele 32
Iterative process
Set out detailed procedure
Create reference model and select design alternatives
Simulate / Analyse
QA checks on results
Design team meeting
Check assumptions Discuss details
Define new / refined objects
Revise reference model?
Analyse additional design alternatives?
Report
Create new / revised model(s)
Yes
Yes
No
No
Typical modeling procedure Typical modeling procedure
(CIBSE 1998) Figure courtesy of CIBSE, www.cibse.org 125BEPM,MEB,MEC 33 prof.Karel Kabele
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© ČVUT v Praze, FSv K125 prof.Kabele
Accuracy
External errors
Improper use of the program (user mistakes and misinterpretation)
Internal errors
Weaknesses inherent in the program itself
•Follow Good Practice principles
•User friendly interface
•Good quality input databases
•Validated and Tested program
•Program sensitive to the design options considered
125BEPM,MEB,MEC 34 prof.Karel Kabele
Good practice principles (QA) for Software users
I. Document modeling assumptions and the procedures used and approaches taken to generate and evolve the model
II. Perform Good Housekeeping (regular back-up and effective archiving)
III. Set up an error log book and document each and every error found
IV. Always check the input files thoroughly
V. Always carry out a test run and look for unexpected results; if routine checks are available use these to identify possible errors
VI. If possible, have a second person check the work carried out
VII. Create a database of results from previous projects to be used for comparison
VIII. For frequently used materials and components, create databases
IX. Give logical and meaningful names to input parameters (e.g. operation schedule, zoning etc)
X. Give logical and meaningful names to simulation files with different parameter testing or iteration (e.g. operation schedule, zoning etc)
(IEA 1994) 125BEPM,MEB,MEC 37 prof.Karel Kabele
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© ČVUT v Praze, FSv K125 prof.Kabele
ESP-R Building simulation sw
125BEPM,MEB,MEC prof.Karel Kabele 38
ESP-r
• ESP-r (Environmental Systems Performance; r for „research“) • Dynamic, whole building simulation finite volume,
finite difference sw based on heat balance method. • Academic, research /non commercial • Developed at ESRU, Dept.of Mech. Eng. University of
Strathclyde, Glasgow, UK by prof. Joseph Clarke and his team since 1974
• ESP-r is released under the terms of the GNU General Public License. It can be used for commercial or non-commercial work subject to the terms of this open source licence agreement.
• UNIX, Cygwin, Windows
prof.Karel Kabele 39
http://www.esru.strath.ac.uk/
125BEPM,MEB,MEC
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© ČVUT v Praze, FSv K125 prof.Kabele
ESP-r architecture
prof.Karel Kabele 40
Project manager
Climate
Material
Construction
Plant components
Event profiles
Optical properties
Databases maintenace
Model editor
Zones
Networks •Plant •Vent/Hydro •Electrical •Contaminants
Controls
Simulation controler
Results analysis
•Timestep •Save level •From -To •Results file dir •Monitor •…
•Graphs •Timestep rep. •Enquire about •Plant results •IEQ •Electrical •CFD •Sensitivity •IPV
125BEPM,MEB,MEC
ESP-r interface
125BEPM,MEB,MEC prof.Karel Kabele 41
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© ČVUT v Praze, FSv K125 prof.Kabele
LOW - ENERGY OFFICE BUILDING
Case study
125BEPM,MEB,MEC prof.Karel Kabele 42
Case Study Description
Architect’s request:
• low-energy sustainable office building
• comfort indoor environment
• office rooms for 1-3 persons, oriented south-north
Architect’s question:
• What is the best U-value for building envelope ???
125BEPM,MEB,MEC 43 prof.Karel Kabele
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© ČVUT v Praze, FSv K125 prof.Kabele
Case Study Description
125BEPM,MEB,MEC prof.Karel Kabele 44
Czech building regulations Building envelope requirements
Indoor environment requirements
Indoor resultant temperature
winter 18-24 °C
summer 20-28 °C
Relative humidity 30-70%
Alternative U wall
[W/m2K]
U window
[W/m2K]
1 DEM (Demanded) 0,38 1,7
2 REC (Recommended) 0,25 1,2
3 LE (Low-energy) 0,15 0,8
Computer modelling
Fig. 3. ESP-r model of the building
Fig. 3. ESP-r model of the building
125BEPM,MEB,MEC prof.Karel Kabele 45
• ESP-r 3 zones model • 2 office rooms 4 x 6 x 3 m
• Corridor 2 x 6 x 3 m
• Heating and cooling system • heating 0 - 500W,
• cooling 0 - 2500W
• mix of 75 % convection, 25% radiation
• pre-heat and pre-cool controller sensing
• mix of zone db temperature and MRT set points:
heating 20°C; cooling 26°C
• Ventilation system • working hours 1 ac/hr
• non-working hours 0,2 ac/hr
• Casual gains (working time 8-17) • Occupancy 140 W/per
• Equipment 200W/comp
• Lighting (500 lx): 35 W / m2
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Simulation
125BEPM,MEB,MEC prof.Karel Kabele 46
-20
-10
0
10
20
30
40
1
408
815
1222
1629
2036
2443
2850
3257
3664
4071
4478
4885
5292
5699
6106
6513
6920
7327
7734
8141
8548
Te
[°C
]
-20
-10
0
10
20
30
40
1
408
815
1222
1629
2036
2443
2850
3257
3664
4071
4478
4885
5292
5699
6106
6513
6920
7327
7734
8141
8548
Te
[°C
]
• Annual simulation in Czech climate conditions
• Building energy and environmental performance
Results
DEMandedDEManded
RECommendedRECommended
LowLow--EnergyEnergy
125BEPM,MEB,MEC prof.Karel Kabele 47
Annual energy consumption
Potřeba energie na chlazení
-8261
-5479
-7733
-5005
-7078
-4457
-9000
-8000
-7000
-6000
-5000
-4000
-3000
-2000
-1000
0
Jih Sever
kWh/a
Nízkoenergetická Doporučená Požadovaná
COOLING
SOUTH NORTH
Potřeba energie na vytápění
22,41
69,45
32,24
79,89
32,12
85,72
0
10
20
30
40
50
60
70
80
90
100
Jih Sever
kWh/a
Nízkoenergetická Doporučená Požadovaná
HEATING
SOUTH NORTH Office
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Results • Total energy consumption
CoolingCooling
HeatingHeating
125BEPM,MEB,MEC 48 prof.Karel Kabele
Roční potřeba energie na vytápění a chlazení
10000
10500
11000
11500
12000
12500
13000
13500
14000
14500
Nízkoenergetická Doporučená Požadovaná
kWh/a
Chlazení Vytápění
ANNUAL ENERGY CONSUMPTION
LE REC DEM
Results • Indoor temperature
Temperatures
-20
-10
0
10
20
30
40
00
h3
0
06
h3
0
12
h3
0
18
h3
0
00
h3
0
06
h3
0
12
h3
0
18
h3
0
00
h3
0
06
h3
0
12
h3
0
18
h3
0
00
h3
0
06
h3
0
12
h3
0
18
h3
0
00
h3
0
06
h3
0
12
h3
0
Řada1
Řada2
Řada4Alternative Room 1 Corridor Room 2
LE 27,52 30,84 29,08
DEM 27,54 30,78 29,08
REC 27,76 30,79 29,05
125BEPM,MEB,MEC 49 prof.Karel Kabele
Alternative Room 1 Corridor Room 2
LE 19,07 18,92 19,11
DEM 19,07 18,66 19,19
REC 19,01 18,81 19,12
Tair max
Tair min Tair Room 1Tair Room 1
Tair Room2Tair Room2
TeTe
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Results
• IEQ analysis • Annual distribution of PMV
during working time according to ČSN EN ISO 7730
• Comfort -0,5<PMV<0,5
• Acceptable -1<PMV<1
• Discomfort PMV<-1 or PMV>1
125BEPM,MEB,MEC prof.Karel Kabele 50
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Comfort 9,7% 16,9% 15,6%
Acceptable 44,3% 40,5% 41,3%
Discomfort 46% 43% 43%
LE DEM REC
Conclusion
• Presented case study has shown a possible utilization of integrated simulation supporting the early conceptual design phase
• The recommendation based on this approach is to continue in designing alternative DEM - demanded U-values
• The reason, why the results of the thermal comfort evaluation
are so unsatisfactory (more than 40% of working time is PMV>1) is due to the relatively high summer temperature set point (+26°C) in connection with settled clothing value and activity of the occupants.
125BEPM,MEB,MEC prof.Karel Kabele 51
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© ČVUT v Praze, FSv K125 prof.Kabele
LOW-ENERGY BUILDING ENERGY SYSTEM MODELLING
Case study
125BEPM,MEB,MEC prof.Karel Kabele 53
Introduction
• Low Energy Buildings ? < 50 kWh/m2/a
– perfect thermal insulation of the building envelope
– design and control of heating systems
– warm-air heating systems.
– solar energy utilisation
– long-term energy accumulation
• How to design?
125BEPM,MEB,MEC prof.Karel Kabele 54
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© ČVUT v Praze, FSv K125 prof.Kabele
Low Energy Building
125BEPM,MEB,MEC prof.Karel Kabele 55
ArchitecturalArchitectural conceptconcept ZoningZoning
GreenhouseGreenhouse
Thermal insulationThermal insulation
Air tightness of the envelopeAir tightness of the envelope
Energy system conceptEnergy system concept –– Controlled ventilationControlled ventilation
–– WarmWarm--air heatingair heating
–– Solar energy utilisationSolar energy utilisation
125BEPM,MEB,MEC prof.Karel Kabele 56
Principles of solar energy Principles of solar energy utilisationutilisation
Active solar water Active solar water collectorscollectors
Passive solar gains via Passive solar gains via glazed balconiesglazed balconies
Gains from greenhouse Gains from greenhouse –– midterm accumulation midterm accumulation into the gravel into the gravel accumulator below the accumulator below the building.building.
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125BEPM,MEB,MEC prof.Karel Kabele 57
Midterm solar energy Midterm solar energy accumulationaccumulation
GreenhouseGreenhouse airair warmingwarming upup
LoadingLoading of of thethe accumulatoraccumulator
UnloadingUnloading of of thethe accumulatoraccumulator
AdditionalAdditional heatheat sourcesource
125BEPM,MEB,MEC prof.Karel Kabele 58
Problem descriptionProblem description
BoundaryBoundary conditionsconditions
Geometry Geometry
ClimateClimate
FreshFresh airair volumevolume
RequiredRequired outputoutput of of thethe systemsystem
OptimisationOptimisation criterionscriterions
AnnualAnnual energy energy consumptionconsumption
OutputOutput of of thethe additionaladditional heatheat sourcesource
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125BEPM,MEB,MEC prof.Karel Kabele 59
Modelling of energy performance
Modelling Modelling tooltool selectionselection criterionscriterions
DynamicDynamic modellingmodelling
HeatHeat transfer transfer coefficientscoefficients
ESPESP--r, TRNSYSr, TRNSYS
Model Model in in ESPESP--rr
Zonal model describing building and Zonal model describing building and energy systemenergy system … … why why 2 model2 modelss??
EnergEnergyy systsysteemm
BuildingBuilding
+
Building model
125BEPM,MEB,MEC prof.Karel Kabele 60
Input:
10 zones, construction, shading elements, operational schedule
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© ČVUT v Praze, FSv K125 prof.Kabele
Model of active solar system with mid-term heat
accumulation
125BEPM,MEB,MEC prof.Karel Kabele 61
ESP-r model •HVAC system divided into 5 thermal zones
•roof air solar collector •greenhouse air solar collector •gravel heat accumulator •heat exchanger •air heater
125BEPM,MEB,MEC prof.Karel Kabele 62
SimulationSimulation Climate databaseClimate database: :
Test reference Test reference yearyear Time periodTime period 1 1 yearyear Time step of the output Time step of the output 1 1 hourhour Time step of the calculationTime step of the calculation 1 minut1 minutee
Building: What?
Energy demand for heating How? 1x simulation loop Output: Heating output
Energy system WhatWhat?? Annual energy consumptionAnnual energy consumption HowHow?? Virtual experimentsVirtual experiments ••Loading air variationLoading air variation ••Accumulation mass of the gravelAccumulation mass of the gravel OutputOutput?? Design of the elementsDesign of the elements
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Simulation results
125BEPM,MEB,MEC prof.Karel Kabele 63
Annual energy consumption
Heating energy consumptionimpact of accumulator
100%
56%
52%
53%
47%
47%
44%
0%
20%
40%
60%
80%
100%
120%
0 1 2 3 4 5 6
Virtual experiment Nr.
Virtual experiment
0 without accumulator
1-3 change of the loading air volume 100 to 2000 m3/h
4-6 change of gravel mass 50 to180 t
Energetický systémEnergetický systém
Temperature in the accumulator
100% = 11,4MWh =410EUR/year
Conclusions
• Virtual experiments confirmed that use of preheating of fresh air supply in gravel accumulator, located below the building contributes positively into the energy balance.
• Use of simple preheating of fresh air supply in gravel accumulator decreases annual energy consumption for ventilation air to approx. 50%.
• Virtual experiments did not confirm significant influence of design parameters to the collecting and accumulating of solar energy in simulated configuration of collectors and accumulator size. The solar energy contribution is in this case very small and most of the accumulator energy gain is given by relative constant earth temperature below the building. In all of simulated virtual experiments was the accumulator mass temperature during the year in the range 12°C to 16°C
125BEPM,MEB,MEC prof.Karel Kabele 64