Life cycle assessment in the building design process – A systematic literature review

2020 ◽  
Vol 185 ◽  
pp. 107274
Author(s):  
Matthew Roberts ◽  
Stephen Allen ◽  
David Coley
Author(s):  
Michele Caroline Bueno Ferrari Caixeta ◽  
Patrícia Tzortzopoulos ◽  
Márcio Minto Fabricio

This paper reports results of a systematic literature review on the definitions and levels of user involvement in the design process. Although many studies have highlighted the importance of user involvement for the quality of both process and final product, the term still lacks a clear definition and different models describe diverse involvement levels, which are detrimental to the advancement of knowledge in the area. The present study focused on the mapping of definitions of user involvement and comparisons of the different proposals of involvement levels for outlining a clear definition of the term, based on the levels of involvement, and contributing to the consolidation of the theory of user involvement in the field of architectural design.  Moreover, this research assists architects to find the most appropriate level of user involvement for the design they are developing, improving the practice of involving users in the design process.


2018 ◽  
Vol 38 (4) ◽  
pp. 13133 ◽  
Author(s):  
Rodrigo Salvador ◽  
Murillo Vetroni Barros ◽  
José Guilherme De Paula Do Rosário ◽  
Cassiano Moro Piekarski ◽  
Leila Mendes Luz ◽  
...  

2021 ◽  
Author(s):  
◽  
Brian Berg

<p>This research simplifies the calculation of the Initial Embodied Energy (iEE) for commercial office buildings. The result is the improved integration of Life Cycle Assessment (LCA) assessments of building materials into the early stages of the building design process (sketch design). This maximises the effectiveness of implementing design solutions to lower a building’s environmental impact.  This thesis research proposes that building Information Models (BIM) will make calculating building material quantities easier, to simplify LCA calculations, all to improve their integration into existing sketch design phase practices, and building design decisions. This is achieved by developing a methodology for using BIM LCA tools to calculate highly detailed material quantities from a simple BIM model of sketch design phase building information. This is methodology is called an Initial Embodied Energy Building Information Model Life Cycle Assessment Building Performance Sketch (iEE BIM LCA BPS). Using this methodology calculates iEE results that are accurate, and represent a sufficient proportion (complete) of a building’s total iEE consumption, making them useful for iEE decision-making.  iEE is one example of a LCA-based indicator that was used to test, and prove the feasibility of the iEE BIM LCA BPS methodology. Proving this, the research method tests the accuracy that a BIM model can calculate case study building’s building material quantities. This included developing; a methodology for how to use the BIM tool Revit to calculate iEE; a functional definition of an iEE BIM LCA BPS based on the environmental impact, and sketch design decisions effecting building materials, and elements; and an EE simulation calibration accuracy assessment methodology, complete with a function definition of the accuracy required of an iEE simulation to ensure it’s useful for sketch design decision-making.  Two main tests were conducted as part of proving the iEE BIM LCA BPS’ feasibility. Test one assessed and proved that the iEE BIM LCA BPS model based on sketch design information does represent a sufficient proportion (complete) of a building’s total iEE consumption, so that are useful for iEE decision-making. This was tested by comparing the building material quantities from a SOQ (SOQ) produced to a sketch design level of detail (truth model 3), to an as-built level of detail, defined as current iEE best practices (truth model 1). Subsequent to proving that the iEE BIM LCA BPS is sufficiently complete, test two assessed if a BIM model and tool could calculate building material quantities accurately compared to truth model 3. The outcome was answering the research question of, how detailed does a BIM model need to be to calculate accurate building material quantities for a building material LCA (LCA) assessment?  The inference of this thesis research is a methodology for using BIM models to calculate the iEE of New Zealand commercial office buildings in the early phases of the design process. The outcome was that a building design team’s current level of sketch design phase information is sufficiently detailed for sketch design phase iEE assessment. This means, that iEE and other LCA-based assessment indicators can be integrated into a design team’s existing design process, practices, and decisions, with no restructuring required.</p>


2021 ◽  
Author(s):  
◽  
Brian Berg

<p>This research simplifies the calculation of the Initial Embodied Energy (iEE) for commercial office buildings. The result is the improved integration of Life Cycle Assessment (LCA) assessments of building materials into the early stages of the building design process (sketch design). This maximises the effectiveness of implementing design solutions to lower a building’s environmental impact.  This thesis research proposes that building Information Models (BIM) will make calculating building material quantities easier, to simplify LCA calculations, all to improve their integration into existing sketch design phase practices, and building design decisions. This is achieved by developing a methodology for using BIM LCA tools to calculate highly detailed material quantities from a simple BIM model of sketch design phase building information. This is methodology is called an Initial Embodied Energy Building Information Model Life Cycle Assessment Building Performance Sketch (iEE BIM LCA BPS). Using this methodology calculates iEE results that are accurate, and represent a sufficient proportion (complete) of a building’s total iEE consumption, making them useful for iEE decision-making.  iEE is one example of a LCA-based indicator that was used to test, and prove the feasibility of the iEE BIM LCA BPS methodology. Proving this, the research method tests the accuracy that a BIM model can calculate case study building’s building material quantities. This included developing; a methodology for how to use the BIM tool Revit to calculate iEE; a functional definition of an iEE BIM LCA BPS based on the environmental impact, and sketch design decisions effecting building materials, and elements; and an EE simulation calibration accuracy assessment methodology, complete with a function definition of the accuracy required of an iEE simulation to ensure it’s useful for sketch design decision-making.  Two main tests were conducted as part of proving the iEE BIM LCA BPS’ feasibility. Test one assessed and proved that the iEE BIM LCA BPS model based on sketch design information does represent a sufficient proportion (complete) of a building’s total iEE consumption, so that are useful for iEE decision-making. This was tested by comparing the building material quantities from a SOQ (SOQ) produced to a sketch design level of detail (truth model 3), to an as-built level of detail, defined as current iEE best practices (truth model 1). Subsequent to proving that the iEE BIM LCA BPS is sufficiently complete, test two assessed if a BIM model and tool could calculate building material quantities accurately compared to truth model 3. The outcome was answering the research question of, how detailed does a BIM model need to be to calculate accurate building material quantities for a building material LCA (LCA) assessment?  The inference of this thesis research is a methodology for using BIM models to calculate the iEE of New Zealand commercial office buildings in the early phases of the design process. The outcome was that a building design team’s current level of sketch design phase information is sufficiently detailed for sketch design phase iEE assessment. This means, that iEE and other LCA-based assessment indicators can be integrated into a design team’s existing design process, practices, and decisions, with no restructuring required.</p>


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