The CH4 Livestock Emission (CH4rLiE) project explores the development of a prototype system for capturing methane emissions in barn environments, offering an alternative approach to mitigating greenhouse gas emissions from livestock farming. Methane (CH4), with a global warming potential signifi- cantly higher than CO2 (GWP100 = 27), accounts for∼23% of anthropogenic climate impact. In 2021, The Assessment Report 6 of Intergovernmental Panel on Climate Change quantified CH4 livestock emissions in 123 Mt/yr, which, together with substantial N2O and CO2 emissions, contributed with a 12% to global emissions. Unlike strategies focused on altering animal feed, CH4rLiE investigates post-emission capture using porous materials, such as zeolites, to adsorb methane from barn air. The project draws on CERN’s experience with gas recovery systems for particle detectors, adapting sim- ilar technologies to agricultural settings. Preliminary estimates, based on measured CH4 concentrations (∼20 mg/m3) and partial air filtration in a 250-animal barn, suggest a low but detectable recovery potential, subject to validation through simulation and in-situ testing. Prototype develop- ment considers the potential for energy-efficient operation - possibly through pressure swing regeneration - and compatibility with existing ventilation in- frastructure, though these aspects remain under evaluation. If methane con- centrations in barns prove too diluted, the system may be better suited for environments with higher gas levels, such as pigsties or landfills. NH3 cap- ture for fertilizer production is planned as a future enhancement. CH4rLiE aims to assess the feasibility of emission recovery in livestock settings with- out affecting animal welfare, contributing to sustainable farming practices, resource efficiency, and circular bioeconomy goals.

Capturing methane in a barn environment: The CH4 Livestock Emission (CH4rLiE) project

Davide Biagini;Elio Dinuccio;Linda Finco;Roberto Guida;Riccardo Verna;
2025-01-01

Abstract

The CH4 Livestock Emission (CH4rLiE) project explores the development of a prototype system for capturing methane emissions in barn environments, offering an alternative approach to mitigating greenhouse gas emissions from livestock farming. Methane (CH4), with a global warming potential signifi- cantly higher than CO2 (GWP100 = 27), accounts for∼23% of anthropogenic climate impact. In 2021, The Assessment Report 6 of Intergovernmental Panel on Climate Change quantified CH4 livestock emissions in 123 Mt/yr, which, together with substantial N2O and CO2 emissions, contributed with a 12% to global emissions. Unlike strategies focused on altering animal feed, CH4rLiE investigates post-emission capture using porous materials, such as zeolites, to adsorb methane from barn air. The project draws on CERN’s experience with gas recovery systems for particle detectors, adapting sim- ilar technologies to agricultural settings. Preliminary estimates, based on measured CH4 concentrations (∼20 mg/m3) and partial air filtration in a 250-animal barn, suggest a low but detectable recovery potential, subject to validation through simulation and in-situ testing. Prototype develop- ment considers the potential for energy-efficient operation - possibly through pressure swing regeneration - and compatibility with existing ventilation in- frastructure, though these aspects remain under evaluation. If methane con- centrations in barns prove too diluted, the system may be better suited for environments with higher gas levels, such as pigsties or landfills. NH3 cap- ture for fertilizer production is planned as a future enhancement. CH4rLiE aims to assess the feasibility of emission recovery in livestock settings with- out affecting animal welfare, contributing to sustainable farming practices, resource efficiency, and circular bioeconomy goals.
2025
20
100604
1
7
https://www.sciencedirect.com/science/article/pii/S2772427125002438
methane, capture, livestock emissions, global warming
Francesco Alessandro Angiullia; Chiara Aimè; Maria Cristina Arena; Davide Biagini; Alessandro Braghieri; Matteo Brunoldi; Simone Calzaferri; Elio Di...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2106210
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