Application of stochastic approach based on Monte Carlo (MC) simulation for life cycle inventory (LCI) to the steel process chain: Case study

Bieda, Bogusław

doi:10.1016/j.scitotenv.2013.10.123

Cited by 35 publications

(17 citation statements)

References 10 publications

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“…According to Geisler et al (2005), variability and uncertainty can be conveniently propagated into LCA results using MC simulation. Bieda (2014) found that using MC simulation in LCA studies results in more flexible models since probability distributions describe the variables, a better understanding of the behavior of specific outputs (products and emissions), and a better capacity to identify the most representative variables of the model.…”

Section: Literature Reviewmentioning

confidence: 99%

Environmental impact assessment of chicken meat production via an integrated methodology based on LCA, simulation and genetic algorithms

López-Andrés

Aguilar-Lasserre

Morales-Mendoza

et al. 2018

Journal of Cleaner Production

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Section: Literature Reviewmentioning

confidence: 99%

Environmental impact assessment of chicken meat production via an integrated methodology based on LCA, simulation and genetic algorithms

López-Andrés

Aguilar-Lasserre

Morales-Mendoza

et al. 2018

Journal of Cleaner Production

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“…Firstly, it extracts not only specific values (mean values, in general) using a deterministic analysis method, but also the statistical properties of the results, such as mode; minimum, maximum, and expected values and probability distributions. The method also has the advantage that it can be combined with simulation methods such as the Monte Carlo simulation (MCS) for sample-based population estimation and that it can analyze the evaluation results separately according to range and segment, based on probability distributions [45,46]. Therefore, probabilistic analysis was selected as a descriptive approach for estimating the embodied environmental costs of the target sample (i.e., all apartment buildings constructed in South Korea) on the basis of evaluating a sufficient number of samples and for establishing a mathematical model for evaluating a building's embodied environmental cost (Equation (1)), drawing on the LCA conceptual equation [47] for quantifying the environmental impact of a product or service (Equation (2)).…”

Section: Methodsmentioning

confidence: 99%

Probabilistic Analysis of Major Construction Materials in the Life Cycle Embodied Environmental Cost of Korean Apartment Buildings

et al. 2019

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This study employs probabilistic analysis to evaluate the life cycle embodied environmental cost of Korean apartment buildings, with a focus on six major construction materials. To this end, the bill of materials was analyzed for 443 Korean apartment buildings according to the type and plan form, and probability density functions (PDFs) were established for the input quantities of the six materials under consideration. Life cycle scenarios were then examined for each material, and their respective life cycle embodied environmental cost factors were established, using a monetary valuation-based damage cost life cycle analysis model. The estimated environmental costs were evaluated by apartment structural type and plan form, based on probability distributions using the Monte Carlo simulation (MCS). Building life cycle embodied environmental cost was estimated between 16.87 USD/m2 and 23.03 USD/m2 (90% confidence interval). Among the structure types analyzed, the highest costs were associated with the wall structure, followed by rigid frame and flat plate structures; at the plan form level, costs followed the sequence plate-type > mixed-type > tower type for a given type of structure.

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“…The review shows that advances have been made toward applying global sensitivity analysis [59,60]; however, accounting simultaneously for varying parameters (i.e., design, scenario) and involved uncertainties in LCA calculations is identified as another under-researched method. The importance of accounting for uncertainties in LCA has been already been discussed in previous literature [40,45,[59][60][61][62][63][64][65][66][67][68] and also recognized in the ISO 14044 standard [69]. Sensitivity analyses can be used to identify the dominant parameters of the expected overall LCA of the considered system.…”

Section: Uncertainty and Sensitivity Analysismentioning

confidence: 99%

From Zero Emission Buildings (ZEB) to Zero Emission Neighbourhoods (ZEN): A Mapping Review of Algorithm-Based LCA

2018

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Abstract:The building industry is responsible for approximately 40% of energy consumption and 36% of greenhouse gas emissions in the European Union (EU). The most efficient way of reducing a building's environmental impact is addressing it in the design stage. Here, design freedom is the greatest, but uncertainty is high and there is a nearly limitless number of design options. Based on experiences with zero emission buildings (ZEB) and zero emission neighbourhoods (ZEN), a mapping review has been conducted to analyse how parametric life cycle assessment (LCA) and algorithms have been used to address neighbourhoods, buildings, and construction materials. Results have identified a general gap of knowledge regarding the use of parametric LCA models for decision-support purposes, demonstrated by the substantial focus on analytical methods compared to procedural methods. Implications for the evolution from ZEB to ZEN are twofold: (i) an integrated approach with multiple tools and methods is required, and (ii) further development of algorithms in the tool are needed to address complexity, sensitivity, and uncertainty. This study is expected to foster the development of algorithmic approaches to improve the ZEB tool as a decision-support tool. Further research should address the key questions of when and how.

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Application of stochastic approach based on Monte Carlo (MC) simulation for life cycle inventory (LCI) to the steel process chain: Case study

Cited by 35 publications

References 10 publications

Environmental impact assessment of chicken meat production via an integrated methodology based on LCA, simulation and genetic algorithms

Environmental impact assessment of chicken meat production via an integrated methodology based on LCA, simulation and genetic algorithms

Probabilistic Analysis of Major Construction Materials in the Life Cycle Embodied Environmental Cost of Korean Apartment Buildings

From Zero Emission Buildings (ZEB) to Zero Emission Neighbourhoods (ZEN): A Mapping Review of Algorithm-Based LCA

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