Current filters:

Current filters:



Date issued

Has File(s)

Search Results

Results 1-7 of 7 (Search time: 0.005 seconds).
  • <<
  • 1
  • >>
  • Authors: Bayram, Berfin; Greiff, Kathrin;  Advisor: -;  Co-Author: - (2023)

    Life cycle assessment (LCA) is increasingly being applied to construction and demolition waste (CDW) recycling. But what is the current state of LCA studies on CDW recycling? In the context of circular economy, several aspects become important in LCA, such as avoided impacts and consideration of the quality of recycled materials. The aim of this study is to identify inconsistencies and best practices, and then provide recommendations for future LCA studies focusing on CDW recycling.

  • Authors: Kyttä, Venla; Kårlund, Anna; Pellinen, Tiina;  Advisor: -;  Co-Author: - (2023)

    Recent methodological developments have integrated nutritional aspects into life cycle assessment (LCA) by using nutrient indices as functional units (nFUs). Previous developments have focused on protein-rich foods, but environmental impacts and nutritional composition vary across products in other product groups, highlighting the need to develop nFUs also for other product groups. Here, we present product-group-specific nFUs for vegetables, fruit and berries, and sources of carbohydrates as an extension to our previous study on protein sources.

  • Authors: Judl, Jáchym; Horn, Susanna; Karppinen, Tiina K. M.;  Advisor: -;  Co-Author: - (2023)

    The use of plastics in products and packaging is growing. At the same time, the lifespan of packaging is short and consequently plastic waste volumes are growing in Finland and globally. Although separate collection and recycling of plastic packaging waste exists in Finland, it needs to be strengthened to reach the European Union’s targets. The separately collected plastic waste is mechanically recycled, but the recycling capacity is small, as is the process’s yield of secondary polymers. Hence, a large share of plastic packaging waste remains being recovered for energy. In our study, we first apply material flow analysis (MFA) to identify different routes of plastic packaging waste in Finland, and then we apply life cycle assessment (LCA) to quantify greenhouse gas (GHG) emissions ...

  • Authors: Jouannais, Pierre; Gibertoni, Pier Paolo; Bartoli, Marco;  Advisor: -;  Co-Author: - (2023)

    Mortality and suboptimal biological performance are a widespread problem in finfish farming. The associated losses constitute an environmental opportunity cost that needs to be thoroughly assessed to prioritize actions aiming at reducing the environmental impacts of finfish aquaculture. We here propose and demonstrate the use of a new parameterized and consequential LCA model of sea-trout production designed to assess the environmental opportunity costs of suboptimal biological performances, considering distinct mortalities and biological feed conversion ratios (FCRs) along the rearing process.

  • Authors: Laurentiis, Valeria De; Amadei, Andrea; Sanyé-Mengual, Esther;  Advisor: -;  Co-Author: - (2023)

    This work investigates the use of alternative approaches to normalization in life cycle assessment (LCA) and shows the relevance of the normalization step in the interpretation of the results of life cycle impact assessment (LCIA) by testing the use of five alternative normalization sets.

  • Authors: Ibn-Mohammed, T.; Mustapha, K. B.; Abdulkareem, M.;  Advisor: -;  Co-Author: - (2023)

    The application of functional materials and devices (FM&Ds) underpins numerous products and services, facilitating improved quality of life, but also constitutes a huge environmental burden on the natural ecosystem, prompting the need to quantify their value-chain impact using the bottom-up life cycle assessment (LCA) framework. As the volume of FM&Ds manufactured increases, the LCA calculation speed is constrained due to the time-consuming nature of data collection and processing. Moreover, the bottom-up LCA framework is limited in scope, being typically static or retrospective, and laced with data gap challenges, resulting in the use of proxy values, thus limiting the relevance, accuracy, and quality of results.