Data granularity for life cycle modelling at an urban scale

Mayer, Matan; Bechthold, Martin

doi:10.1080/00038628.2019.1689914

Cited by 8 publications

(1 citation statement)

References 34 publications

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“…Furthermore, 3D urban-scale building energy prediction platforms are used to provide faster and better design solutions with improved building energy efficiency for urban planning, new constructions and building retrofits [24]. In addition, using data mining publicly available sources for 3D modeling, LCA results can be obtained that could be used for urban-scale life cycle modeling, in order to increase the sustainability of the built environment [25]. However, the wider use of integrated BIM and energy analysis lacks well-established interoperability strategies between BIM and energy simulation tools [15,16,20,[26][27][28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

How BIM Contributes to a Building’s Energy Efficiency throughout Its Whole Life Cycle: Systematic Mapping

et al. 2021

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This paper presents a systematic mapping (SM) study with the aim to determine how Building Information Modeling (BIM) methodologies and technologies contribute to energy-related analyses over the course of the entire building life cycle. The method adopted in the study is based on a set of seven research questions. We used a mixed technique combining co-citation analysis and bibliographic coupling in order to analyze the publications’ datasets for the period 2010–2020. The main advantage and novelty of this study are that the joint dataset from the Scopus and Web of Science databases was used to develop the keyword map. The main findings of this study indicate that many BIM-based applications can be used to analyze the building energy performance at all stages of the building life cycle. However, the applications of BIM in conjunction with other information technologies are limited and are still in the initial stage. In the future, the main improvements should be focused on process, model, system, tool, use and information modeling. The most promising long-term solution is an open BIM framework based on open standards, which allows the integration of BIM and energy simulation tools and satisfies specific data exchange requirements.

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Section: Introductionmentioning

confidence: 99%

How BIM Contributes to a Building’s Energy Efficiency throughout Its Whole Life Cycle: Systematic Mapping

et al. 2021

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BIM Technology for Creating Digital Doubles of Buildings: Implementation Analysis of Functional Complexity

Filonova,

Shirobokova,

Shutova

2024

Lecture Notes in Civil Engineering

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The application of life cycle assessment in buildings: challenges, and directions for future research

Fnais

Rezgui

Petri

et al. 2022

Int J Life Cycle Assess

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Purpose This paper reviews the state-of-the art research in life cycle assessment (LCA) applied to buildings. It focuses on current research trends, and elaborates on gaps and directions for future research. Methods A systematic literature review was conducted to identify current research and applications of LCA in buildings. The proposed review methodology includes (i) identifying recent authoritative research publications using established search engines, (ii) screening and retaining relevant publications, and (iii) extracting relevant LCA applications for buildings and analyzing their underpinning research. Subsequently, several research gaps and limitations were identified, which have informed our proposed future research directions. Results and discussions This paper argues that humans can attenuate and positively control the impact of their buildings on the environment, and as such mitigate the effects of climate change. This can be achieved by a new generation of LCA methods and tools that are model based and continuously learn from real-time data, while informing effective operation and management strategies of buildings and districts. Therefore, the consideration of the time dimension in product system modeling is becoming essential to understand the resulting pollutant emissions and resource consumption. This time dimension is currently missing in life cycle inventory databases. A further combination of life cycle impact assessment (LCIA) models using time-dependent characterization factors can lead to more comprehensive and reliable LCA results. Conclusions and recommendations This paper promotes the concept of semantic-based dynamic (real-time) LCA, which addresses temporal and spatial variations in the local built and environmental ecosystem, and thus more effectively promotes a “cradle-to-grave-to-reincarnation” environmental sustainability capability. Furthermore, it is critical to leverage digital building resources (e.g., connected objects, semantic models, and artificial intelligence) to deliver accurate and reliable environmental assessments.

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Data granularity for life cycle modelling at an urban scale

Cited by 8 publications

References 34 publications

How BIM Contributes to a Building’s Energy Efficiency throughout Its Whole Life Cycle: Systematic Mapping

How BIM Contributes to a Building’s Energy Efficiency throughout Its Whole Life Cycle: Systematic Mapping

BIM Technology for Creating Digital Doubles of Buildings: Implementation Analysis of Functional Complexity

The application of life cycle assessment in buildings: challenges, and directions for future research

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