Life Cycle Information Models: Parameterized Linked Data Structures to Facilitate the Consistent Use of Life-Cycle Assessment in Decision Making

2021 ◽  
Vol 147 (4) ◽  
pp. 04021060
Author(s):  
Chaitanya Ganesh Bhat ◽  
Amlan Mukherjee ◽  
Joep P. R. Meijer
2021 ◽  
Vol 87 ◽  
pp. 106519 ◽  
Author(s):  
Rodrigo Salvador ◽  
Murillo Vetroni Barros ◽  
Giovani Elias Tagliaferro dos Santos ◽  
Karen Godoi van Mierlo ◽  
Cassiano Moro Piekarski ◽  
...  

2018 ◽  
Vol 174 ◽  
pp. 01006 ◽  
Author(s):  
Břetislav Teplý ◽  
Tomáš Vymazal ◽  
Pavla Rovnaníková

Efficient sustainability management requires the use of tools which allow material, technological and construction variants to be quantified, measured or compared. These tools can be used as a powerful marketing aid and as support for the transition to “circular economy”. Life Cycle Assessment (LCA) procedures are also used, aside from other approaches. LCA is a method that evaluates the life cycle of a structure from the point of view of its impact on the environment. Consideration is given also to energy and raw material costs, as well as to environmental impact throughout the life cycle - e.g. due to emissions. The paper focuses on the quantification of sustainability connected with the use of various types of concrete with regard to their resistance to degradation. Sustainability coefficients are determined using information regarding service life and "eco-costs". The aim is to propose a suitable methodology which can simplify decision-making in the design and choice of concrete mixes from a wider perspective, i.e. not only with regard to load-bearing capacity or durability.


2021 ◽  
pp. 83-89
Author(s):  
Abeer Ali Khan

As the high demand of energy of the developing countries is met by importing energy and different energy technology, it has become increasingly necessary to discuss the environmental impacts throughout the life cycle of those technologies and make better decisions. Developed in the late 1960s, Life Cycle Assessment (LCA) has become a wide-ranging tool used to determine impacts of products or systems over several environmental and resource issues. The LCA approach has become more prevalent in research, industry and policy with growing concern for the environment. Therefore, the aim of this paper is to introduce the use of LCA in the decision-making process while selecting an energy technology. In this way, more environmentally conscious decisions will be made as LCAs can provide a better basis for this process.


2012 ◽  
Vol 7 (3) ◽  
pp. 151-170 ◽  
Author(s):  
Jeremy Faludi ◽  
Michael D. Lepech ◽  
George Loisos

Within this work, life cycle assessment modeling is used to determine top design priorities and quantitatively inform sustainable design decision-making for a prefabricated modular building. A case-study life-cycle assessment was performed for a 5,000 ft2prefabricated commercial building constructed in San Francisco, California, and scenario analysis was run examining the life cycle environmental impacts of various energy and material design substitutions, and a structural design change. Results show that even for a highly energy-efficient modular building, the top design priority is still minimizing operational energy impacts, since this strongly dominates the building life cycle's environmental impacts. However, as an energy-efficient building approaches net zero energy, manufacturing-phase impacts are dominant, and a new set of design priorities emerges. Transportation and end-of-life disposal impacts were of low to negligible importance in both cases.


2019 ◽  
Vol 11 (4) ◽  
pp. 1038
Author(s):  
Fabio Zagonari

This paper combines the most popular tourism typologies or goals (i.e., RT, responsible tourism, to represent impact minimisation; ST, sustainable tourism, to represent welfare maximisation; AT, alternative tourism, to represent continuity maximisation) and decision-making methodologies (i.e., MCA, multi-criteria analysis; CBA, cost-benefit analysis; WLCA, weighted life-cycle assessment; MLCA, monetary life-cycle assessment) in a single dynamic framework to operationally match the former with the latter. Normative insights show that MCA and WLCA are most suitable for RT and AT, respectively, whereas CBA and MLCA are most suitable for ST. Management recommendations (i.e., if a wrong static instead of a right dynamic approach must be adopted due to a lack of data, once chosen a tourism typology or goal, ST is the best in terms of level, correlation and likelihood of errors) are provided, and policy recommendations (i.e., if a right dynamic approach is adopted, in choosing among tourism typologies or goals, AT is the best in terms of precaution, ST is the best in terms of correlation, and RT is the best in terms of risk of investments) are suggested for a case study characterized by negative environmental and cultural dynamics. Positive insights show that two and many papers have applied WLCA and MLCA, respectively, to RT, but they did not account for cultural features; many papers have applied CBA to ST, but only one paper applied MLCA; few and no papers have applied MCA and WLCA, respectively, to AT.


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