Application of life cycle carbon assessment for a sustainable building design: a case study in the UK

Brooks, Maria M.; Abdellatif, Mawada; Alkhaddar, Rafid

doi:10.1080/15435075.2020.1865360

Cited by 21 publications

(2 citation statements)

References 28 publications

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“…Operational carbon refers to emissions generated from energy consumption during the operation of buildings [38]. Embodied carbon is the carbon emitted during the construction of buildings including production, construction, maintenance, and end of life stages [39]. The carbon emissions arising throughout the life cycle of CDW, categorized as embodied carbon emissions, primarily encompass two distinct aspects: one is the carbon emissions generated by various activities [40], and the other is the carbon emissions reduced through reuse, recycling, and energy recovery instead of raw materials [41], which bring environmental impacts and environmental benefits, respectively.…”

Section: Carbon Emissionsmentioning

confidence: 99%

BIM-Based Assessment of the Environmental Effects of Various End-of-Life Scenarios for Buildings

Wang,

Wu,

2024

Sustainability

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Accurately and rationally quantifying the environmental impact of construction and demolition waste (CDW) management is paramount, especially the environmental impact of different waste disposals, and more effective policies should be implemented to manage CDW. However, previous research on CDW disposal has typically ignored the potential for energy recovery and focused on a single environmental impact category. Therefore, this study aims to develop a conceptual framework to assess the environmental impacts under different CDW management scenarios (including reuse, recycling, energy recovery, and landfill), quantifying the global warming potential and resource consumption impacts under different scenarios. This framework incorporates Building Information Modeling to accurately collect data for feedback to the Life Cycle Assessment. The results indicate that Scenario 3, which considers the circular economy strategy, efficiently reuses metals, plastics, glass, and wood, generates recycled aggregate from concrete and cement, recycles bricks and tiles, and uses the remaining waste for energy recovery. This CDW management scenario, which prioritizes reuse and recycling, is the most effective in mitigating carbon emissions, resulting in a reduction of 6.641 × 105 kg CO2 eq. Moreover, it significantly conserves resources and prevents the energy consumption of 4.601 × 107 MJ. Among them, metal reuse saves 42.35% of resources, and plastic reuse saves 31.19% of resources. In addition, increasing the reuse rate and recovery rate can directly avoid carbon emissions and cumulative exergy consumption, effectively alleviating environmental issues. This study can provide new ideas for the treatment of CDW, which can provide a basis for the relevant government departments to formulate CDW management policies.

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Section: Carbon Emissionsmentioning

confidence: 99%

BIM-Based Assessment of the Environmental Effects of Various End-of-Life Scenarios for Buildings

Wang,

Wu,

2024

Sustainability

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“…During the process of photosynthesis, biomass crops can remove carbon dioxide from the atmosphere when they are handled correctly. A closed carbon cycle is completed when these materials are converted into bioenergy by processes such as combustion, gasification, or anaerobic digestion [301]- [304]. By these processes, carbon dioxide is released into the atmosphere.…”

Section: ) Biomass Energy Forecastingmentioning

confidence: 99%

Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy

Nguyen,

Paramasivam,

Dong

et al. 2024

JOIV : Int. J. Inform. Visualization

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Integrating machine learning (ML) and artificial intelligence (AI) with renewable energy sources, including biomass, biofuels, engines, and solar power, can revolutionize the energy industry. Biomass and biofuels have benefited significantly from implementing AI and ML algorithms that optimize feedstock, enhance resource management, and facilitate biofuel production. By applying insight derived from data analysis, stakeholders can improve the entire biofuel supply chain - including biomass conversion, fuel synthesis, agricultural growth, and harvesting - to mitigate environmental impacts and accelerate the transition to a low-carbon economy. Furthermore, implementing AI and ML in combustion systems and engines has yielded substantial improvements in fuel efficiency, emissions reduction, and overall performance. Enhancing engine design and control techniques with ML algorithms produces cleaner, more efficient engines with minimal environmental impact. This contributes to the sustainability of power generation and transportation. ML algorithms are employed in solar energy to analyze vast quantities of solar data to improve photovoltaic systems' design, operation, and maintenance. The ultimate goal is to increase energy output and system efficiency. Collaboration among academia, industry, and policymakers is imperative to expedite the transition to a sustainable energy future and harness the potential of AI and ML in renewable energy. By implementing these technologies, it is possible to establish a more sustainable energy ecosystem, which would benefit future generations.

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Bionanocomposites in the Construction and Building Applications

Satdive¹,

Tayde²,

Tonde³

et al. 2022

Composites Science and Technology

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Application of life cycle carbon assessment for a sustainable building design: a case study in the UK

Abstract: The version presented here may differ from the published version or from the version of the record. Please see the repository URL above for details on accessing the published version and note that access may require a subscription.

Cited by 21 publications

References 28 publications

BIM-Based Assessment of the Environmental Effects of Various End-of-Life Scenarios for Buildings

BIM-Based Assessment of the Environmental Effects of Various End-of-Life Scenarios for Buildings

Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy

Bionanocomposites in the Construction and Building Applications

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