A comparative life cycle assessment of three high-performance glazing systems for office buildings in a hot desert climate zone

Elkhayat, Youssef O.; Ibrahim, Mona G.; Tokimatsu, Koji; Ali, Ahmed AbdelMonteleb M.

doi:10.1007/s10098-020-01891-2

Cited by 13 publications

(11 citation statements)

References 22 publications

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“…In this work, the service life of all alternatives is considered 60 years. Acidification, eutrophication, Global Warming Potential (GWP), Non-Renewable Energy (NRE), Ozone layer Depletion (OD), and terrestrial acidification and/or nitrification are the six impact categories studied because of their significance where (Elkhayat et al, 2020) define for each as the following.…”

Section: System Boundariesmentioning

confidence: 99%

“…LCA is a widely used tool for comparing the environmental impacts of products or systems to assist decision-makers in selecting the most sustainable alternative (Elkhayat et al, 2020). Therefore, this study uses Life Cycle Assessment (LCA) methodology to investigate and compare the total environmental impacts of the four glazing systems in a commercial high-rise.…”

Section: Introductionmentioning

confidence: 99%

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Simulation-Based Life Cycle Assessment for Office Building Façade: A Case Study of the Leadenhall Building in London

Khameneh¹,

Barahmand²,

Samarakoon³

2022

Linköping Electronic Conference Proceedings

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High-rise glazing systems are among the most important components affecting energy efficiency. Through the lens of Life Cycle Assessment, glass has always been an unlikely material for large buildings due to its considerable energy consumption throughout the pre-use and post-use phases. Moreover, the use of high-tech materials has a negative impact on the environment. Therefore, the present study aims to assess a comparative life cycle of four different glazing system technologies (BIPV, smart glass, low-E, and double glazing) representing the most used commercial high potential glazing systems. The next step has been optimized for the Leadenhall iconic tower as the case study. In this analysis, energy simulation is combined with life cycle assessment to investigate the environmental impacts. ZEB-COM tool, Rhino®, and Grasshopper® have been used to calculate emissions, 3D modeling, and energy modeling, respectively. The results reveal that BIPV achieved 37% of total energy-saving and stood first. A hybrid solution (two glazing systems) has been proposed to eliminate negative aspects and increase livability. Although it can generate almost 30% less energy than the complete BIPV installation, with a specific design by the authors, it can cover aesthetic concerns in this system and compensates for 27% of the total energy demand of the Leadenhall project.

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Section: System Boundariesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation-Based Life Cycle Assessment for Office Building Façade: A Case Study of the Leadenhall Building in London

Khameneh¹,

Barahmand²,

Samarakoon³

2022

Linköping Electronic Conference Proceedings

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“…The paper reviews the application of ML to LCA with a focus on Buildings, Districts and Cities, while also including several useful related applications described under a "Miscellaneous" heading. A plethora of studies has explored the application of LCA in buildings with most studies focusing on energy use and GHG emissions (Asif 2019;Elkhayat et al 2020;Lyu and Chow 2020). However, the literature thus far lacks a comprehensive review of the different applications of ML in LCA, the trends in current practices as well as some of the gaps in research.…”

Section: Introductionmentioning

confidence: 99%

Advances in application of machine learning to life cycle assessment: a literature review

Ghoroghi

Rezgui

Petri

et al. 2022

Int J Life Cycle Assess

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Purpose Life Cycle Assessment (LCA) is the process of systematically assessing impacts when there is an interaction between the environment and human activity. Machine learning (ML) with LCA methods can help contribute greatly to reducing impacts. The sheer number of input parameters and their uncertainties that contribute to the full life cycle make a broader application of ML complex and difficult to achieve. Hence a systems engineering approach should be taken to apply ML in isolation to aspects of the LCA. This study addresses the challenge of leveraging ML methods to deliver LCA solutions. The overarching hypothesis is that: LCA underpinned by ML methods and informed by dynamic data paves the way to more accurate LCA while supporting life cycle decision making. Methods In this study, previous research on ML for LCA were considered, and a literature review was undertaken. Results The results showed that ML can be a useful tool in certain aspects of the LCA. ML methods were shown to be applied efficiently in optimization scenarios in LCA. Finally, ML methods were integrated as part of existing inventory databases to streamline the LCA across many use cases. Conclusions The conclusions of this article summarise the characteristics of existing literature and provide suggestions for future work in limitations and gaps which were found in the literature.

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“…Other studies to improve façade energy efficiency include: Lee et al ( 2002 ), reviewing high-performance commercial building facades; Al-Hazmy ( 2006 ), analysing heat transport through hollow building blocks; Liu et al ( 2015 ) reviewing control strategies for intelligent glazing systems; and He and Hoyano ( 2010 ) assessing a passive evaporative cooling wall. Elkhayat et al ( 2020 ) conduct a life cycle assessment of three high-performance glazing systems, Kim and Olsen ( 2015 ) report on radiant systems, while Lydon et al ( 2017 ) investigate multifunctional building elements. Porous ceramic materials were tested by He and Hoyano ( 2010 ), while novel ‘breathing walls’ have been proposed by (Craig and Grinham 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Biomimetic building facades demonstrate potential to reduce energy consumption for different building typologies in different climate zones

Webb

2021

Clean Techn Environ Policy

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Graphic abstract Greenhouse gas (GHG) emissions leading to anthropogenic global warming continue to be a major issue for societies worldwide. A major opportunity to reduce emissions is to improve building construction, and in particular the effectiveness of building envelope, which leads to a decrease in operational energy consumption. Improving the performance of a building's thermal envelope can substantially reduce energy consumption from heating, ventilation, and air conditioning while maintaining occupant comfort. In previous work, a computational model of a biomimetic building façade design was found to be effective in temperate climates in an office context. Through a case study example based on animal fur and blood perfusion, this paper tests the hypothesis that biomimetic building facades have a broader application in different building typologies across a range of climate zones. Using bioinspiration for innovation opens new ideas and pathways for technological development that traditional engineering design does not provide. This study exemplifies the process in a building façade, integrating a new form of insulation, heating and cooling. Methods of mathematical modelling and digital simulation methods were used to test the energy reduction potential of the biomimetic façade was tested in a set of operational applications (office, school, and aged care) and across different climate zones (tropical, desert, temperate, and cool continental). Results indicated that the biomimetic façade has potential to reduce energy consumption for all building applications, with the greatest benefit shown in residential aged care (67.1% reduction). Similarly, the biomimetic building façade showed potential to reduce operational services energy consumption in all climate zones, with the greatest energy reductions achieved in the tropical (55.4% reduction) and humid continental climates (55.1% reduction). Through these results the hypothesis was confirmed suggesting that facades engineered to mimic biological functions and processes can improve substantially decrease building operational energy consumption and can be applied in different building classifications and different climate zones. These results would significantly decrease operational greenhouse gas emissions over the lifetime of a building and provide substantial savings in energy bills. Such facades can contribute to the further reduction in greenhouse gas emissions in a broad range of contexts in the built environment and other areas of technology and design. The flexibility and adaptability of biomimetic facades exemplify how biological strategies and characteristics can augment and improve performance in different environments, since the organisms that inspire innovation are already well-adapted to the conditions on earth. This study also exemplified a method by which other biomimetic building envelope features may be assessed. Further work is suggested to assess economic viability and constructability of the proposed facades.

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A comparative life cycle assessment of three high-performance glazing systems for office buildings in a hot desert climate zone

Cited by 13 publications

References 22 publications

Simulation-Based Life Cycle Assessment for Office Building Façade: A Case Study of the Leadenhall Building in London

Simulation-Based Life Cycle Assessment for Office Building Façade: A Case Study of the Leadenhall Building in London

Advances in application of machine learning to life cycle assessment: a literature review

Biomimetic building facades demonstrate potential to reduce energy consumption for different building typologies in different climate zones

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