The International Journal of Life Cycle Assessment

Journal Information
ISSN / EISSN : 0948-3349 / 1614-7502
Published by: Springer Nature (10.1007)
Total articles ≅ 3,072
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, R. A. F. Alvarenga, M. Lindblom, T. C. Kampmann, Lauran van Oers, Jeroen B. Guinée, J. Dewulf
The International Journal of Life Cycle Assessment pp 1-12; https://doi.org/10.1007/s11367-021-02018-5

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Jingyi Zhang, Xinyou Ke, Yu Gu, Fenfen Wang, Duanyang Zheng, Kang Shen,
The International Journal of Life Cycle Assessment pp 1-11; https://doi.org/10.1007/s11367-022-02023-2

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The International Journal of Life Cycle Assessment pp 1-26; https://doi.org/10.1007/s11367-021-02012-x

Abstract:
Purpose: LCA is increasingly used in infrastructure policy and planning. This study maps approaches used in comparative LCA of road and rail infrastructure to (1) determine the length of the analysis period, (2) estimate the maintenance frequency, and (3) include the effects of climate change on infrastructure performance. A LCA may need to fulfil different requirements in different decision-contexts. The relevance of the approaches for decision-making in policy and procurement is therefore discussed. Methods: Ninety-two comparative LCAs of road and rail infrastructure published in peer-reviewed journals January 2016–July 2020 were reviewed. Papers were found through a systematic process of searching electronic databases, applying inclusion criteria, and conducting backward and forward snowballing. Results and discussion: The analysis period was commonly determined based on infrastructure service life. The maintenance frequency was estimated based on current practice, laboratory tests, modelling, or scenarios. The effects of climate change were considered in two papers by comparing results in a control case and in a changed climate. In policy and procurement, current practice approaches are not adapted to innovative solutions or to climate change. Modelling and laboratory tests could improve calculations of the maintenance phase but might have some limitations related to innovative solutions. Scenarios could be readily applied in a policy context; however, in procurement, consistent and generic scenarios should be used. Conclusions: Results suggest what approaches could be used to account for maintenance in infrastructure LCA depending on the decision-context. The LCA community is suggested to research other approaches than current practice to account for long analysis periods, climate change, and innovative solutions. Additionally, literature not covered here could be reviewed for additional approaches and perspectives. Examples include stand-alone LCAs, method development papers, papers on the individual approaches and decision-contexts, certification systems, standards, and guidelines.
, Jonathan Sze Choong Low, Daren Zong Loong Tan, Zhiquan Yeo, Seeram Ramakrishna
The International Journal of Life Cycle Assessment pp 1-21; https://doi.org/10.1007/s11367-022-02024-1

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Silvia Zingale, Paolo Guarnaccia, Giuseppe Timpanaro, Alessandro Scuderi, Agata Matarazzo, Jacopo Bacenetti,
The International Journal of Life Cycle Assessment pp 1-22; https://doi.org/10.1007/s11367-021-02016-7

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, Laura Solari
The International Journal of Life Cycle Assessment pp 1-17; https://doi.org/10.1007/s11367-021-02013-w

Abstract:
Purpose: The paper aims to promote the transition to low/zero emission of the local public transport, particularly, urban buses are taken into account. Method: The life cycle assessment of electric and biomethane-fuelled urban buses is performed by exploiting SimaPro commercial software (v.9.1.1.). Attention is focused on powertrains. Both midpoint and endpoint analyses are performed. Referring to environmental impact, the best compressed biomethane gas (CBG) powertrain was compared to the best electric one. Additionally, the worst-case scenario has been considered for both CBG and electric powertrains. Results: CBG powertrain outperforms the electric one if overall greenhouse gas emissions are considered. However, the electric powertrain seems promising for human health and ecosystem. Conclusions: The environmental performance of the two powertrains is good. Both of the two technologies have strength and weak points that anyhow make them good candidates for a clean local public transport of the future. The analysis performed in the paper suggests a future investigation on hybrid electric-CBG powertrain. Actually, such a solution could benefit from both the strengths of the biomethane and the electric powertrain.
, Bianca Maria Tragnone, Luigia Petti
The International Journal of Life Cycle Assessment, Volume 27, pp 173-187; https://doi.org/10.1007/s11367-021-01996-w

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B. Notarnicola, G. Tassielli, , R. Di Capua, G. Saija, R. Salomone, P. Primerano, L. Petti, A. Raggi, N. Casolani, et al.
The International Journal of Life Cycle Assessment pp 1-16; https://doi.org/10.1007/s11367-021-02020-x

Abstract:
Purpose: For the development of any life cycle assessment study, the practitioner frequently integrates primary data collected on-field, with background data taken from various life cycle inventory databases which are part of most commercial LCA software packages. However, such data is often not generally applicable to all product systems since, especially concerning the agri-food sector, available datasets may not be fully representative of the site specificity of the food product under examination. In this context, the present work investigates the background, sources and methodological aspects that characterise the most known commercial databases containing agri-food data, with a focus on four agri-food supply chains (olive oil, wine, wheat products and citrus fruit), which represent an important asset for the Italian food sector. Methods: Specifically, the paper entails a review of currently available LCI databases and their datasets with a twofold scope: firstly, to understand how agri-food data is modelled in these databases for a coherent and consistent representation of regional scenarios and to verify whether they are also suitable for the Italian context and, secondly, to identify and analyse useful and relevant methodological approaches implemented in the existing LCI databases when regional data are modelled. Results: Based on the aforementioned review, it is possible to highlight some problems which may arise when developing an LCI pertaining to the four Italian agri-food supply chains, namely: 1. The need for specific inventory datasets to tackle the specificities of agri-food product systems. 2. The lack of datasets, within the existing DBs, related to the Italian context and to the abovementioned supply chains. In fact, at present, in the currently available LCI DBs, there are very few (or in some cases none) datasets related to Italian wine, olive oil, wheat-based products and citrus fruit. The few available datasets often contain some data related to the Italian context but also approximate data with that of product systems representing other countries. Furthermore, the present study allowed to identify and discuss the main aspects to be used as starting elements for modelling regional data to be included in a future Italian LCI database of the abovementioned four supply chains. Conclusions: The results of the present study represent a starting point for the collection of data and its organisation, in order to develop an Italian LCI agri-food database with datasets which are representative of the regional specificities of four agri-food supply chains which play an important role in the Italian economy.
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