scholarly journals Factors Influence Embodied Energy and Embodied Carbon Value at Design Phase of Low Middle Class Apartment in Indonesia

Author(s):  
Noveryna D. Reztrie ◽  
Dewi Larasati
Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 1905 ◽  
Author(s):  
Ming Hu

Knowledge and research tying the environmental impact and embodied energy together is a largely unexplored area in the building industry. The aim of this study is to investigate the practicality of using the ratio between embodied energy and embodied carbon to measure the building’s impact. This study is based on life-cycle assessment and proposes a new measure: life-cycle embodied performance (LCEP), in order to evaluate building performance. In this project, eight buildings located in the same climate zone with similar construction types are studied to test the proposed method. For each case, the embodied energy intensities and embodied carbon coefficients are calculated, and four environmental impact categories are quantified. The following observations can be drawn from the findings: (a) the ozone depletion potential could be used as an indicator to predict the value of LCEP; (b) the use of embodied energy and embodied carbon independently from each other could lead to incomplete assessments; and (c) the exterior wall system is a common significant factor influencing embodied energy and embodied carbon. The results lead to several conclusions: firstly, the proposed LCEP ratio, between embodied energy and embodied carbon, can serve as a genuine indicator of embodied performance. Secondly, environmental impact categories are not dependent on embodied energy, nor embodied carbon. Rather, they are proportional to LCEP. Lastly, among the different building materials studied, metal and concrete express the highest contribution towards embodied energy and embodied carbon.


2018 ◽  
Vol 10 (9) ◽  
pp. 3229 ◽  
Author(s):  
Craig Langston ◽  
Edwin Chan ◽  
Esther Yung

Refurbishing buildings helps reduce waste, and limiting the amount of embodied carbon in buildings helps minimize the damaging impacts of climate change through lower CO2 emissions. The analysis of embodied carbon is based on the concept of life cycle assessment (LCA). LCA is a systematic tool to evaluate the environmental impacts of a product, technology, or service through all stages of its life cycle. This study investigates the embodied carbon footprint of both new-build and refurbished buildings to determine the embodied carbon profile and its relationship to both embodied energy and construction cost. It recognizes that changes in the fuel mix for electricity generation play an important role in embodied carbon impacts in different countries. The empirical findings for Hong Kong suggest that mean embodied carbon for refurbished buildings is 33–39% lower than new-build projects, and the cost for refurbished buildings is 22–50% lower than new-build projects (per square meter of floor area). Embodied carbon ranges from 645–1059 kgCO2e/m2 for new-build and 294–655 kgCO2e/m2 for refurbished projects, which is in keeping with other studies outside Hong Kong. However, values of embodied carbon and cost for refurbished projects in this study have a higher coefficient of variation than their new-build counterparts. It is argued that it is preferable to estimate embodied energy and then convert to embodied carbon (rather than estimate embodied carbon directly), as carbon is both time and location specific. A very strong linear relationship is also observed between embodied energy and construction cost that can be used to predict the former, given the latter. This study provides a framework whereby comparisons can be made between new-build and refurbished projects on the basis of embodied carbon and related construction cost differentials into the future, helping to make informed decisions about which strategy to pursue.


2015 ◽  
Vol 83 ◽  
pp. 147-156 ◽  
Author(s):  
Antonín Lupíšek ◽  
Marie Vaculíková ◽  
Štĺpán ManĽík ◽  
Julie Hodková ◽  
Jan RůžiĽka

Author(s):  
Aude Matard ◽  
Noorullah Kuchai ◽  
Stephen Allen ◽  
Paul Shepherd ◽  
Kemi Adeyeye ◽  
...  

Author(s):  
Hend rino ◽  
Mohd Zin Bin Kandar ◽  
I Nengah Tela ◽  
Boy Yendra Tamin

2018 ◽  
Vol 49 ◽  
pp. 00126 ◽  
Author(s):  
Arkadiusz Węglarz ◽  
Michał Pierzchalski

This article concerns the Life Cycle Assessment method of evaluation and the ways in which it can be applied as a tool facilitating the design of buildings to reduce embodied energy and embodied carbon. Three variants of a building were examined with the same functional ground plan and usable floor area of 142.6 m2. Each variant of the building was designed using different construction technologies: bricklaying technology utilizing autoclaved aerated concrete popular in Poland, wooden frame insulated with mineral wool, and the Straw-bale technology. Using digital models (Building Information Model) the building’s energy characteristics was simulated and the embodied energy and embodied carbon of the production stage (also called cradle-to-gate) were calculated. The performed calculations were used to compare the cumulative energy and embodied carbon of each variant for a 40 year long life cycle.


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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