Effect of a one-dimensional approach in LCA on the environmental life cycle impact of buildings: Multi-family case study in Flanders

Decorte, Yanaika; Steeman, Marijke; Bossche, Nathan Van Den

doi:10.1016/j.buildenv.2021.108381

Cited by 16 publications

(8 citation statements)

References 17 publications

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“…In recent decades, life cycle assessment (LCA) has been introduced as a viable means of measuring the environmental impact of products in the supply chain [1]. The environmental impact of buildings is commonly quantified through LCA [2]. LCA is globally recognized as one of the most complete methods for environmental assessment of buildings [3].…”

Section: Introductionmentioning

confidence: 99%

Analysis of building materials used for the construction of family houses in the boundaries from Cradle to Gate with Options

Burdová

Vilčeková

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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The purpose of the research work is to analyse environmental impacts of building materials applied to the construction of family houses in the boundaries Cradle to Gate with Options. Within Life cycle analysis (LCA), environmental impacts such as global warming potential (GWP), ozone depletion (OP), acidification potential (AP), eutrophication potential (EP), photochemical ozone creation potential (POCP), non-hazardous waste disposal (NHWD) and biogenic carbon storage (BGS) are determined by using One Click LCA tool. This approach is selected to bring information about current state of construction trend used in Slovakia, to set a starting point for further critical reviews of different strategies as well as to inform about the impact significance of current selection of building materials. Results show that the biggest contribution to GWP are triple glazed exterior wooden doors and windows with aluminium elements, thermal insulation and reinforced concrete.

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Section: Introductionmentioning

confidence: 99%

Analysis of building materials used for the construction of family houses in the boundaries from Cradle to Gate with Options

Burdová

Vilčeková

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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“…Data collection is considered to be the most time and therefore cost-intensive element of LCA [21,25,28,29]. In addition, the complexity of the product being assessed, data and resource constraints, as well as the required expert knowledge were frequently mentioned challenges [23,[30][31][32]. For complex products such as vehicles [33], aircraft [34], buildings [28,31,32], or capital goods [35,36] that consist of a large number of different components and materials, the high effort required to prepare and categorize the data is particularly critical.…”

Section: Selection Of Search Categoriesmentioning

confidence: 99%

How to Simplify Life Cycle Assessment for Industrial Applications—A Comprehensive Review

et al. 2022

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Life cycle assessment (LCA) has established itself as the dominant method for identifying the environmental impact of products or services. However, conducting an LCA is labor and time intensive (especially regarding data collection). This paper, therefore, aims to identify methods and tools that enhance the practicability of LCA, especially with regard to product complexity and variance. To this end, an initial literature review on the LCA of complex products was conducted to identify commonly cited barriers and potential solutions. The obtained information was used to derive search strategies for a subsequent comprehensive and systematic literature review of approaches that address the identified barriers and facilitate the LCA process. We identified five approaches to address the barriers of time and effort, complexity, and data intensity. These are the parametric approach, modular approach, automation, aggregation/grouping, and screening. For each, the concept as well as the associated advantages and disadvantages are described. Especially, the automated calculation of results as well as the automated generation of life cycle inventory (LCI) data exhibit great potential for simplification. We provide an overview of common LCA software and databases and evaluate the respective interfaces. As it was not considered in detail, further research should address options for automated data collection in production by utilizing sensors and intelligent interconnection of production infrastructure as well as the interpretation of the acquired data using artificial intelligence.

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“…Existing studies have mainly focused on environmental sustainability in residential buildings. In other words, various research has been actively conducted on energy-saving technologies such as zero-energy [26][27][28] and environmental performance evaluation methods such as LCA [29][30][31].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In this study, mechanical testing of façade elements and a partial life cycle assessment (LCA) focusing on embodied energy and operational energy of a typical functional unit were performed to evaluate mechanical properties and the sustainability performance of the system, respectively. Decorte et al [31] examined the effect of a one-dimensional approach as simplification strategy on the environmental impact regarding material use and operational energy use for different renovation scenarios applied to a residential high-rise building. This is because the concept of sustainability basically started with the purpose of limiting fossil fuels to respond to global warming.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies

Cho

Lee

et al. 2021

Sustainability

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In general, the long-term maintenance planning of residential buildings is performed based on uniform repair times. However, in fact, various factors, such as the quality and user patterns, affect the performance of residential building components in the Operation and Maintenance (O&M) phase. Hence, various residential building components are repaired at uncertain times, acting as a risk for the residential building maintenance plan. Therefore, an efficient maintenance plan should be established considering maintenance uncertainty. In this regard, this study aims to analyze the uncertainty of repair times for various finishing works in residential buildings based on a probabilistic methodology and outline the implications for the establishment of efficient maintenance strategies in these buildings. Hence, 47,344 repair data for 63 buildings in 12 public residential building complexes completed between 1991 and 2001 in the Republic of Korea were used for analysis. Before the analysis, a repair time matrix was constructed by classifying the finishing works in 25 types and setting service life times to 6–26 years. The repair time distribution for each finishing work was then derived. Results confirmed that basic repair time setting can be performed and various information for reasonable maintenance decision making regarding each finishing work can be provided through a probabilistic approach. The probabilistic approach can be used as a critical decision-making method because there is uncertainty associated with the repair time of each finishing work owing to the performance degradations of various finishing works due to complex causes. Although this study focused on repair time owing to data collection limitations, maintenance strategies with strategic flexibility can be established by developing probabilistic methods that simultaneously consider frequency and cost by securing additional high-quality cost data.

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Effect of a one-dimensional approach in LCA on the environmental life cycle impact of buildings: Multi-family case study in Flanders

Cited by 16 publications

References 17 publications

Analysis of building materials used for the construction of family houses in the boundaries from Cradle to Gate with Options

Analysis of building materials used for the construction of family houses in the boundaries from Cradle to Gate with Options

How to Simplify Life Cycle Assessment for Industrial Applications—A Comprehensive Review

Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies

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