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Life Cycle Analysis (LCA) has long been utilized for decision making about the sustainability of products. LCA provides information about the total emissions generated for a given functional unit of a product, which is utilized by industries or consumers for comparing two products with regards to environmental performance. However, many existing LCAs utilize data that is representative of an average system with regards to life cycle stage, thus providing an aggregate picture. It has been shown that regional variation may lead to large variation in the environmental impacts of a product, specifically dealing with energy consumption, related emissions and resource consumptions. Hence, improving the reliability of LCA results for decision making with regards to environmental performance needs regional models to be incorporated for building a life cycle inventory that is representative of the origin of products from a certain region. In this work, we present the integration of regionalized data from process systems models and other sources to build regional LCA models and quantify the spatial variations per unit of biodiesel produced in the state of Indiana for environmental impact. In order to include regional variation, we have incorporated information about plant capacity for producing biodiesel from North and Central Indiana. The LCA model built is a cradle-to-gate. Once the region-specific models are built, the data were utilized in SimaPro to integrate with upstream processes to perform a life cycle impact assessment (LCIA). We report the results per liter of biodiesel from northern and central Indiana facilities in this work. The impact categories studied were global warming potential (kg CO2 eq) and freshwater eutrophication (kg P eq). While there were a lot of variations at individual county level, both regions had a similar global warming potential impact and the northern region had relatively lower eutrophication impacts.
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Why Bother? Environmental and Social Implications of Using Durable Building Products
The circular economy (CE) has emerged with the promise of conserving resources through approaches such as durability and extended product lifetimes. At the same time, buildings negatively contribute to resource use and waste production, making buildings a key target for CE strategies. However, the question of how durability and lifetimes affect the social and environmental impacts of building products remains largely unexplored. In this study, we applied environmental and social life cycle assessments (E-LCA and S-LCA, respectively) to a common building component, roof covering, to investigate the effects of durability and different lifespans, and the tradeoffs between social and environmental impacts. We tested different lifespan scenarios for three materials with different durability: thermoplastic polyolefin (TPO), zinc-coated steel, and galvanized aluminum sheets. The results suggest that it is critical to consider the tradeoffs of social and environmental benefits: steel had the most promising social performance, followed closely by aluminum, while the least durable material (TPO) had the worst environmental and social performance. However, the environmental impacts resulting from the production of aluminum sheets were significantly lower than the impacts from steel, which made aluminum the preferred choice for this case study. Moreover, product lifespans impacted the results in both E-LCA and S-LCA due to the number of replacements needed over the life of a 100- year building. We discuss key limitations of integrating E-LCA and S-LCA approaches, such as data aggregation and spatial issues, lack of standards on how to account for product durability, and concerns surrounding S-LCA results interpretation.
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- Award ID(s):
- 1934824
- PAR ID:
- 10357731
- Date Published:
- Journal Name:
- 4th PLATE 2021 Virtual Conference
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.31880/10344/10204
