scholarly journals Moisture control design has to respond to all relevant hygrothermal loads

2021 ◽  
Author(s):  
Hartwig Kuenzel ◽  
Mark Dewsbury
Keyword(s):  
Control Design ◽  
Simulation Models ◽  
Building Design ◽  
Building Envelope ◽  
Design Evaluation ◽  
Control Analysis ◽  
Sustainable Building ◽  
Moisture Control ◽  
Air Infiltration ◽  
Hygrothermal Simulation

Moisture related damage is still a formidable cost factor in the building sector. Besides installation deficiencies, moisture control design failures are the most frequent reasons for moisture problems. Therefore, adequate moisture control analysis has become the key for sustainable buildings. However, by focusing on vapour diffusion only other important moisture loads such as driving rain, construction moisture or air infiltration are mostly neglected. Therefore, international moisture control standards often refer to simulation models for more realistic analysis, leaving many practitioners wondering how to handle these tools. To overcome this dilemma, the updated German moisture control standard has introduced a three-pathway approach for design evaluation: 1 st deemed to satisfy list, 2 nd restricted Glaser calculation and 3 rd fully fledged hygrothermal simulation. The third pathway includes the option to account for small leaks or imperfections in building envelope components. Guidelines in other countries are also embracing similar moisture control approaches which gives hope for more durable and sustainable building design. To reach this aim, moisture control should also become an integral part of the design process instead of a secondary chore.

scholarly journals Towards The Removal Of Uncertainty In Sustainable Building Design Through Full Scale Optimization

2021 ◽  
Author(s):  
Stuart C. Fix
Keyword(s):  
Energy Consumption ◽  
Building Design ◽  
Full Scale ◽  
Future Research ◽  
Sustainable Building ◽  
Climate Conditions ◽  
Air Infiltration ◽  
Using Data ◽  
Energy Simulations ◽  
Scale Optimization

The lack of whole-building design optimization resources available to building designers has led to uncertainty in design decisions involved with building highly sustainable or 'Green' buildings. This uncertainty can be removed using Full Scale Optimization: the process of conducting a massive number of building energy simulations, and combining this predicted operational data with life cycle analysis metrics to optimize building design. This method has been executed over the scope of 1 080 000 single detached home designs under Toronto climate conditions by automating EnergyPlus simulations within Amazon's Elastic Compute Cloud. A lifetime energy consumption analysis was performed using data from Athena's Impact Estimator. Example analysis shows parameters such as total building size, sub-grade floor area, window U-value, and air infiltration level have the greatest effect on total lifetime energy consumption. Future research is to include more rigorous database analysis and the inclusion of other relevant optimization metrics.

scholarly journals Towards The Removal Of Uncertainty In Sustainable Building Design Through Full Scale Optimization

2021 ◽  
Author(s):  
Stuart C. Fix
Keyword(s):  
Energy Consumption ◽  
Building Design ◽  
Full Scale ◽  
Future Research ◽  
Sustainable Building ◽  
Climate Conditions ◽  
Air Infiltration ◽  
Using Data ◽  
Energy Simulations ◽  
Scale Optimization

The lack of whole-building design optimization resources available to building designers has led to uncertainty in design decisions involved with building highly sustainable or 'Green' buildings. This uncertainty can be removed using Full Scale Optimization: the process of conducting a massive number of building energy simulations, and combining this predicted operational data with life cycle analysis metrics to optimize building design. This method has been executed over the scope of 1 080 000 single detached home designs under Toronto climate conditions by automating EnergyPlus simulations within Amazon's Elastic Compute Cloud. A lifetime energy consumption analysis was performed using data from Athena's Impact Estimator. Example analysis shows parameters such as total building size, sub-grade floor area, window U-value, and air infiltration level have the greatest effect on total lifetime energy consumption. Future research is to include more rigorous database analysis and the inclusion of other relevant optimization metrics.

Sustainable Building Design Case History C.K. Choi Building, UBC

2002 ◽  
Vol 86 (18) ◽  
pp. 36-42
Author(s):  
Gilbert Raynard ◽  
Diana Klein
Keyword(s):  
Case History ◽  
Building Design ◽  
Sustainable Building ◽  
Design Case

scholarly journals Massive wood material for sustainable building design: the Massiv–Holz–Mauer wall system

2016 ◽  
Vol 62 (5) ◽  
pp. 416-428 ◽  
Author(s):  
Silvia Santi ◽  
Francesca Pierobon ◽  
Giulia Corradini ◽  
Raffaele Cavalli ◽  
Michela Zanetti
Keyword(s):  
Building Design ◽  
Wood Material ◽  
Sustainable Building ◽  
Wall System

Collaborating in decision making of sustainable building design: An experimental study comparing CBA and WRC methods

2016 ◽  
Vol 128 ◽  
pp. 132-142 ◽  
Author(s):  
Paz Arroyo ◽  
Camila Fuenzalida ◽  
Alex Albert ◽  
Matthew R. Hallowell
Keyword(s):  
Decision Making ◽  
Experimental Study ◽  
Building Design ◽  
Sustainable Building

Assessing design buildability through virtual reality from the perspective of construction students

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Don Amila Sajeevan Samarasinghe ◽  
Imelda Saran Piri
Keyword(s):  
Virtual Reality ◽  
Tertiary Education ◽  
Building Design ◽  
Assessment Process ◽  
Online Questionnaire ◽  
Sustainable Building ◽  
Content Type ◽  
Building Information ◽  
2D Drawing ◽  
The Impact

PurposeThe purpose of this paper is to evaluate the impact of visual models on the ability of construction students to assess design buildability.Design/methodology/approachThe study engaged 45 construction students from one selected tertiary education institute in New Zealand. The data collection process involved meeting the students face-to-face and demonstrating the VR model to them, after which the students completed an online questionnaire and assessed design buildability using both 2D drawing and virtual reality (VR) models. To make this assessment, the participants considered a residential earth building modelled to promote sustainable building features. The assessment process required the participants to evaluate the design buildability of the same building design using a 2D drawing and a 3D VR model.FindingsThe study found that VR models have significant advantages for assessing design buildability. Students measured 16.80% higher average buildability with the 3D VR model compared to the 2D drawing. The participants in the evaluation felt that the visual model significantly improved the comprehensibility of complex designs, which helped identify and manage design buildability (overall, 83% of participants strongly supported this).Originality/valueThe paper showed construction digitisation such as VR, augmented reality and building information modelling is highly cooperative as it can easily be made available for online learning. Thus, the findings support construction educators use online-based VR learning to promote efficient teaching of design buildability to students.

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