Development and verification of the open source platform, HAM-Tools, for hygrothermal performance simulation of buildings using a stochastic approach

AbstractSince especially the automotive domain increasingly utilizes multi- and many-core systems, appropriate models, analyses, and tooling are required to address challenges that were nearly non existent so far. APP4MC is an open source Eclipse platform that provides AUTOSAR compliant common data models namely AMALTHEA, basic parallelization features, visualizations, and the great possibility to add any existing tooling. For example, Eclipse Capra can be added to provide comprehensive traceability throughout the development processes but any proprietary, commercial, open-source, or prototypical implementations can be integrated. The platform enables the creation and management of complex tool chains including performance simulation and validation. The entire community benefits from reduced hardware costs, faster time to market, higher quality systems, and rapid adoption. APP4MC is not retricted to the automotive domain and utilizable in robotics or generic real-time systems as well.

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Hygrothermal performance of cross-laminated timber wall assemblies: A stochastic approach

Building and Environment ◽

10.1016/j.buildenv.2015.11.034 ◽

2016 ◽

Vol 97 ◽

pp. 11-25 ◽

Cited By ~ 21

Author(s):

Lin Wang ◽

Hua Ge

Keyword(s):

Stochastic Approach ◽

Cross Laminated Timber ◽

Hygrothermal Performance

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Open-source Modelica models for the control performance simulation of chiller plants with water-side economizer

Applied Energy ◽

10.1016/j.apenergy.2021.117337 ◽

2021 ◽

Vol 299 ◽

pp. 117337

Author(s):

Chengliang Fan ◽

Kathryn Hinkelman ◽

Yangyang Fu ◽

Wangda Zuo ◽

Sen Huang ◽

...

Keyword(s):

Open Source ◽

Control Performance ◽

Performance Simulation ◽

Water Side

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The use of an internal airtight membrane in CLT external wall in terms of hygrothermal performance

Journal of Physics Conference Series ◽

10.1088/1742-6596/2069/1/012208 ◽

2021 ◽

Vol 2069 (1) ◽

pp. 012208

Author(s):

V. Kukk ◽

J. Kers ◽

T. Kalamees

Keyword(s):

Water Vapor Permeability ◽

Stochastic Approach ◽

High Water ◽

Vapor Permeability ◽

Diffusion Resistance ◽

Mold Growth ◽

External Wall ◽

Hygrothermal Performance ◽

Dry Out ◽

The Impact

Abstract This study focused on the dry-out capacity of the vapor-permeable CLT (cross-laminated timber) external wall and the impact of using an internal airtight membrane. The results of the work were obtained first from the field measurements, after which the simulation model was created and validated, and the hygrothermal performance of the wall was analyzed by a stochastic approach. The results of this showed that the CLT dries out quickly and safely in a wall assembly with a high water vapor permeability, even with the large range of initial CLT MC (13-25%). When an additional airtight layer with high vapor diffusion resistance (Sd of 244 m) is added between the insulation and the CLT, the dry-out capacity of the CLT decreases significantly and there is a high probability of mold growth on the CLT surface. The risk of mold growth can be prevented when the vapor resistance (Sd) of the airtight layer is reduced to 1.5 m in a case where initial CLT MC is up to 25% and in a case where initial MC is up to 20%, the vapor resistance of an airtight layer must be reduced to 3 m.

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Effect of rain leakage on hygrothermal performance of highly insulated wood-framed walls: a stochastic approach

Canadian Journal of Civil Engineering ◽

10.1139/cjce-2019-0223 ◽

2019 ◽

Vol 46 (11) ◽

pp. 979-989 ◽

Cited By ~ 1

Author(s):

Lin Wang ◽

Hua Ge

Keyword(s):

Significant Risk ◽

Stochastic Modelling ◽

Stochastic Approach ◽

Moisture Damage ◽

Hygrothermal Performance ◽

Rain Infiltration ◽

Wall Assembly ◽

The Impact ◽

Damage Risk ◽

Wall Components

Wind-driven rain is one of the most important moisture sources that may lead to moisture damage risks of building envelopes, particularly when the rainwater unintentionally infiltrates into the envelope assembly through defects of the wall components. This paper proposes a stochastic modelling approach to evaluate the impact of rain infiltration on hygrothermal performance of highly insulated wood-framed walls, including an I-joist deep cavity wall, two exterior insulated walls, and a conventional 2×6 stud wall as the baseline wall. The stochastic hygrothermal models of the walls are created based on the uncertainties of material properties and rain deposition factor under different scenarios with rain infiltration deposited at different locations of the wall assembly. The stochastic simulation results show that the rainwater deposited on a water resistive barrier does not cause any moisture damage risk, but there is a significant risk when the rainwater is directly deposited on the exterior or interior surface of wood sheathing, and the interior deposition has the highest risk.

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