OPTIMIZATION AND PROCESS AUTOMATION USING ISIGHT
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OPTIMIZATION AND PROCESS AUTOMATION USING ISIGHT DARMSTADT, 21 NOVEMBER 2019 SVEN REINSTÄDLER AN INNOVATIVE SIMFLOW GENERATING A DATA SHEET FOR A THERMAL BRIDGE
Transcript of OPTIMIZATION AND PROCESS AUTOMATION USING ISIGHT
OPTIMIZATION AND PROCESSAUTOMATION USING ISIGHT
DARMSTADT, 21 NOVEMBER 2019
SVEN REINSTÄDLER
AN INNOVATIVE SIMFLOW GENERATINGA DATA SHEET FOR A THERMAL BRIDGE
AGENDA
Thermal analysis• Motivation• Modeling• Characteristics
Isight workflow• Data management• Optimization• Postprocessing
THERMAL ANALYSIS: MOTIVATION
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Mould formation in
residential buildings
RELEVANT STANDARDS
DIN EN ISO 10211
Requirements to the temperature field along the inner surfaces of the walls
DIN EN ISO 6946
Building components and building elements – Thermal resistance and thermal transmittance – Calculation methods
Thermal insulation and energy economy in building; Supplement 2: Thermal bridges – Examples for planning and performance, with CD-ROM
DIN 4108 Supplement 2
Thermal bridges in building construction – Heat flows and surface temperatures – Detailed calculations
Building materials and products – Hygrothermal properties – Tabulated design values and procedures for determining declared and design thermal values
DIN EN ISO 10456
THERMAL ANALYSIS: MOTIVATION
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Accurate computation of the
required thermal energy
needed for heating a building
(primary energy consumption)
𝐿 =
𝑘=1
𝐾
𝑈𝑘 𝐴𝑘 +
𝑚=1
𝑀
𝜓𝑚 𝑙𝑚 +
𝑛=1
𝑁
𝜒𝑛
Classification of buildings
according to the German Energy
Conservation Regulation – EnEV
Keyword: Low-energy building
DIN EN ISO 10211-1 : 1995-11
LINEAR HEAT TRANSMITTANCE 𝜓
Thermal conductance
THERMAL ANALYSIS: MOTIVATION
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www.leitl.at/assets/upload/download/info/2016-01-14_Waermebrückenkatalog_Initiative_Ziegel_-_Zusammenstellung_GESAMT.pdf
THERMAL BRIDGE – DATA SHEET
THERMAL ANALYSIS: MOTIVATION
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www.leitl.at/assets/upload/download/info/2016-01-14_Waermebrückenkatalog_Initiative_Ziegel_-_Zusammenstellung_GESAMT.pdf
THERMAL BRIDGE – DATA SHEET
U-Wert Ziegelwand mit WDVS [W/m2K]
𝜓[W
/mK]
THERMAL ANALYSIS: MODELING
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Co
ncr
ete𝑅𝑠𝑖 = 0.13 𝑚2𝐾
𝑊𝑅𝑠𝑒 = 0.04 𝑚2𝐾𝑊
𝑞 = 0 𝑊𝑚2
𝑑𝐵 = 0.2 𝑚
𝑑𝐼 = ?
𝜆𝐶 = 1.6 Τ𝑊 𝑚𝐾
𝜆𝐼 = 0.04 Τ𝑊 𝑚𝐾
Iso
lati
onThermal resistance
𝑇𝑖 = 293 𝐾
Temperature
𝑇𝑒 = 263 𝐾
𝑇𝑠𝑖
Differential equation
Boundary conditions
𝑞 = ℎ (𝑇𝑠𝑖 − 𝑇𝑖)
𝑞 = ℎ (𝑇𝑒 − 𝑇𝑠𝑒)
𝑞 = 0
𝑞 = −𝜆 𝑇
Critical temperature
of the inner surface𝑇𝑠𝑖 ~ 283 𝐾
Point of condensation assuming relative humidity of 50 % inside the building
𝑥
𝑦
𝑙 = 0.6 𝑚
Temperature
Thermal resistance
MODEL EQUATIONS AND BOUNDARY CONDITIONS
OUTSIDE INSIDE
THERMAL ANALYSIS: CHARACTERISTICS
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𝑇 𝐾
𝑇𝑠𝑖 < 287.6 𝐾
𝑞 ∝ 𝑇
THERMAL IMAGE
ISIGHT WORKFLOW
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OVERVIEW - SIMFLOW
SELECTED COMPONENTS
Excel WordCommand Line Script Data Exchanger
Optimization
PostprocessingData management
ISIGHT WORKFLOW: DATA MANAGEMENT
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OS COMMAND
ISIGHT WORKFLOW: DATA MANAGEMENT
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DATA-EXCHANGER
ISIGHT WORKFLOW: OPTIMIZATION
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DATA-EXCHANGER
ISIGHT WORKFLOW: OPTIMIZATION
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python
Used modules:
• os
• csv
• re
SCRIPTING
ISIGHT WORKFLOW: OPTIMIZATION
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ABAQUS
ISIGHT WORKFLOW: OPTIMIZATION
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SCRIPTING
ISIGHT WORKFLOW: POSTPROCESSING
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SCRIPTING
ISIGHT WORKFLOW: POSTPROCESSING
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EXCEL
ISIGHT WORKFLOW: POSTPROCESSING
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EXCEL
ISIGHT WORKFLOW: POSTPROCESSING
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EXCEL-DATA-SHEET
ISIGHT WORKFLOW: POSTPROCESSING
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WORD
ISIGHT WORKFLOW: POSTPROCESSING
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WORD
ISIGHT WORKFLOW: POSTPROCESSING
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WORD-DATA-SHEET
ISIGHT WORKFLOW: POSTPROCESSING
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WORD-DATA-SHEET
𝐿 =
𝑘=1
𝐾
𝑈𝑘 𝐴𝑘 +
𝑚=1
𝑀
𝜓𝑚 𝑙𝑚 +
𝑛=1
𝑁
𝜒𝑛
THANK YOU FOR YOURATTENTION
SVEN REINSTÄDLERDr.-Ing.
+49 711 7825 [email protected]
CENIT AGIndustriestraße 52-5470565 Stuttgartwww.cenit.com
