Sensitivity analysis of temporal parameters in a dynamic LCA framework

Shimako, Allan Hayato; Tiruta-Barna, Ligia; Faria, Ana Barbara Bisinella de; Ahmadi, Aras; Spérandio, Mathieu

doi:10.1016/j.scitotenv.2017.12.220

Cited by 54 publications

(41 citation statements)

References 30 publications

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“…Comprehensively including temporality in LCA means being able to consider the effect of the temporal variations of: building occupancy; thermal resistance of insulation materials and efficiency of other building components; production capacity of energy production equipment (such as building-integrated photovoltaic panels); energy mix scenarios; biogenic carbon emissions (especially for buildings with significant amount of wood); end of life technologies and infrastructures [92]. A tool for dynamic LCA calculation able to take into account temporality in the LCI, in the background and the foreground system, was recently proposed in [62,[93][94][95]. Its application to the case of building renovation is planned in a future study.…”

Section: Limitations and Future Developmentsmentioning

confidence: 99%

A spatio-temporal life cycle assessment framework for building renovation scenarios at the urban scale

Mastrucci

Marvuglia

Benetto

et al. 2020

Renewable and Sustainable Energy Reviews

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Reducing the energy consumption of buildings is a priority for carbon emissions mitigation in urban areas. Building stock energy models have been developed to support decisions of public authorities in renovation strategies. However, the burdens of renovation interventions and their temporal distribution are mostly overlooked, leading to potential overestimation of environmental benefits. Life Cycle Assessment (LCA) provides a holistic estimation of environmental impacts, but further developments are needed to correctly consider spatio-temporal aspects.We propose a spatio-temporal LCA framework to assess renovation scenarios of urban housing stocks, integrating: 1) a geospatial building-by-building stock model, 2) energy demand modelling, 3) product-based LCA, and 4) a scenario generator.Temporal aspects are considered both in the lifecycle inventory and the lifecycle impact assessment phases, by accounting for the evolution of the existing housing stock and applying time-adjusted carbon footprint calculation.We apply the framework for the carbon footprint assessment of housing renovation in Esch-sur-Alzette (Luxembourg). Results show that the renovation stage represents 4% to 16% of the carbon footprint in the residual service life of existing buildings, respectively after conventional or advanced renovations. Under current renovation rates, the carbon footprint reduction would be limited to 3-4% by 2030. Pushing renovation rates to 3%, enables carbon reductions up to 28% by 2030 when combined with advanced renovations. Carbon reductions in the operational stage of buildings are offset by 8-9% due to the impacts of renovation. Using time-adjusted emissions, results in higher weight for the renovation stage and slightly lower benefits for renovation.

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Section: Limitations and Future Developmentsmentioning

confidence: 99%

A spatio-temporal life cycle assessment framework for building renovation scenarios at the urban scale

Mastrucci

Marvuglia

Benetto

et al. 2020

Renewable and Sustainable Energy Reviews

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“…To improve the decision-making process, an automated or streamlined process is needed that can account for environmental aspects and other aspects such as costs [40,44]. Several authors also stressed the need to take uncertainty into account [51,53,54]. This is especially a challenge for emerging technologies and novel materials [55].…”

Section: Procedural Methodsmentioning

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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“…GWP 100 = 28 kg CO 2 -eq GTP 100 = 4 kg CO 2 -eq Fig. 1 Importance of time dependence in the calculation of the climate change impact of 1 kg methane emission (from Shimako et al 2018) be achieved using a discount factor as done by Levasseur et al (2010) for global warming.…”

Section: Convenɵonal Lcamentioning

confidence: 99%

“…A time-distributed LCI is calculated by combining the model with a graph search algorithm. The capability to link the temporalized LCI to dynamically calculated impacts was also demonstrated (Shimako et al 2016(Shimako et al , 2017(Shimako et al , 2018.…”

Section: Convenɵonal Lcamentioning

confidence: 99%

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A tool to operationalize dynamic LCA, including time differentiation on the complete background database

Pigné

Gutiérrez

Gibon

et al. 2019

Int J Life Cycle Assess

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Purpose The objective is to demonstrate an operational tool for dynamic LCA, based on the model by Tiruta-Barna et al. (J Clean Prod 116:198-206, Tiruta-Barna et al. 2016). The main innovation lies in the combination of full temporalization of the background inventory and a graph search algorithm leading to full dynamic LCI, further coupled to dynamic LCIA. The following objectives were addressed: (1) development of a database with temporal parameters for all processes of ecoinvent 3.2, (2) implementation of the model and the database in integrated software, and (3) demonstration on a case study comparing a conventional internal combustion engine car to an electric one. Methods Calculation of dynamic LCA (including temporalization of background and foreground system) implies (i) a dynamic LCI model, (ii) a temporal database including temporal characterization of ecoinvent 3.2, (iii) a graph search algorithm, and (iv) dynamic LCIA models, in this specific case for climate change. The dynamic LCI model relies on a supply chain modeling perspective, instead of an accounting one. Unit processes are operations showing a specific functioning over time. Mass and energy exchanges depend on specific supply models. Production and supply are described by temporal parameters and functions. The graph search algorithm implements the dynamic LCI model, using the temporal database, to derive the life cycle environmental interventions scaled to the functional unit and distributed over time. The interventions are further combined with the dynamic LCIA models to obtain the temporally differentiated LCA results. Results and discussion A web-based tool for dynamic LCA calculations (DyPLCA) implementing the dynamic LCI model and temporal database was developed. The tool is operational and available for testing (http://dyplca.univ-lehavre.fr/). The case study showed that temporal characterization of background LCI can change significantly the LCA results. It is fair to say that temporally differentiated LCI in the background offers little interest for activities with high downstream emissions. It can provide insightful results when applied to life cycle systems where significant environmental interventions occur upstream. Those systems concern, for example, renewable electricity generation, for which most emissions are embodied in an infrastructure upstream. It is also observed that a higher degree of infrastructure contribution leads to higher spreading of impacts over time. Finally, a potential impact of the time window choice and discounting was observed in the case study, for comparison and decision-making. Time differentiation as a whole may thus influence the conclusions of a study.

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Sensitivity analysis of temporal parameters in a dynamic LCA framework

Cited by 54 publications

References 30 publications

A spatio-temporal life cycle assessment framework for building renovation scenarios at the urban scale

A spatio-temporal life cycle assessment framework for building renovation scenarios at the urban scale

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

A tool to operationalize dynamic LCA, including time differentiation on the complete background database

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