Développement de profilés de lattes en béton permettant de réduire les émissions d'ammoniac au bâtiment de croissance-finition porcin.

Le but de ce projet de recherche consiste à réduire les émissions d’ammoniac produites à partir des planchers de béton dans les porcheries de croissance-finition. Pour ce faire, trois principaux facteurs ont été investigués, soit le profilé des lattes, la présence d’un enduit d’époxy et la présence d’un sectionnement pratiqué le long des lattes. Ce projet est divisé en deux volets. Le premier volet consistait à développer des lattes permettant de réduire les surfaces souillées. Les prototypes développés lors de ce volet ont permis des réductions des surfaces souillées variant entre 41 et 80 %, comparativement à une latte témoin. Le second volet consistait à mesurer les émissions d’ammoniac des prototypes développés, lorsque soumis à des simulations de souillage. Seule la présence d’un sectionnement a eu un effet significatif sur la réduction des émissions d’ammoniac, lesquelles ont varié entre 22 et 42 %, par rapport à une latte témoin.The goal of this research project consists to reduce the ammonia emissions produced from the floor in growing-finishing pig barns. To do this, three main factors were investigated: the slats section shapes, the presence of an epoxy coating and the presence of a notch along the slats. This project is divided into two parts. The first part consisted to develop slats allowing to reduce the soiled surfaces. Prototypes developed during this part of the project resulted in soiled surfaces reduction ranging between 41 and 80 %, compared to a control slat. The second part consisted to measure ammonia emission of the developed prototypes when subjected to fouling simulations. Only the presence of a notch allowed to reduce ammonia emissions significantly. Emission reductions measured ranged between 22 and 42 %, in comparison with a control slat

ALIGNED: A framework for the LCA of bio-based products

The assessment of bio based products presents several challenges: from the definition of system boundaries and choice of system models, modeling competition for biomass and for land, to performing dynamic and time specific accounting, making scenarios and considering uncertainty. We present the background, methodology, and expected results of the Horizon-Europe-funded project “Aligning Life Cycle Assessment methods and bio-based sectors for improved environmental performance” (ALIGNED, grant number 101059430). Targeting five sectors namely woodworking, pulp and paper, biochemicals, construction and textiles, ALIGNED fulfils three research needs: 1) to improve, harmonize, and align LCA methodology for the assessment of bio-based products covering environmental and socio-economic aspects, 2) to demonstrate the harmonized methodology to improve the environmental performance of specific technology development cases in industries within the bio-based sectors 3) to inform and involve stakeholders, enabling an efficient methodological uptake.ALIGNED modelling framework does not intend to provide a new standard or guideline but instead to make available an ecosystem of science-based and open approaches and tools to ease the assessment of bio-based products. Key elements in such framework include: 1) A science and evidence-based approach: scientifically sound modelling as close as possible to reality, avoiding normative rules, and favoring models that can be validated and revised when new data become available as well as an ecosystem of interacting models and tools. 2) A lifecycle perspective: the assessment takes the full life cycle of bio-based products into account. 3) Relevance for decision-makers and usefulness for decision support: we focus on modelling what are the consequences of specific decisions. We explicitly consider uncertainty in the decision support. 4) Balancing model complexity and model applicability: we select and use in this framework models that are scientifically robust but also usable by practitioners to the largest extent, keeping in mind the trade-off between model complexity and applicability. 5) Adherence to open-science practices: models, tools, and their documentation are open, while data should be as open as possible. 6) Ensuring relevance for bio-based products: the modelling framework considers the specific challenges and issues that exist in the assessment of bio-based products