Top-down life cycle assessment protocols for all mineralization-based CO2 removal methods

SSRN Electronic Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

As part of the US Department Energy's push to accelerate commercialization CO2 removal, Pacific Northwest National Laboratory and Lawrence Livermore are creating life cycle assessment inclusive monitoring, reporting, verification protocols for all forms mineralization-based carbon dioxide removal. These protocols—produced in partnership with dozens partners from industry, government, local communities—are meant ensure that claimed removals quantitatively verified based on rigorous science while also providing implementation flexibility companies.The following document discusses unique aspects accounting Some these topics broadly relevant others distinct options. Since removal requires a net flux out atmosphere, necessarily involves an emissions over full lifecycle project. Such cradle-to-grave has been used decades quantitative analysis technology This focusses areas traditional must be adjusted atmosphere is calculated.So long as achieved, "best practice" may evaluated different viewpoints (e.g., scientific, financial, regulatory, political), values equity, economic, justice), goals maximize decarbonization efforts, minimize temperature increase). To facilitate such multifaceted evaluations, quality levels provided.

Language: Английский

Life Cycle Assessment in the Monitoring, Reporting, and Verification of Land-Based Carbon Dioxide Removal: Gaps and Opportunities

Environmental Science & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

Life cycle assessment (LCA) has been widely used to evaluate the carbon negativity and environmental impacts of dioxide removal (CDR) pathways. Various monitoring, reporting, verification (MRV) protocols have developed assess credits CDR projects within voluntary compliant markets. Many MRV incorporate life thinking, LCA methods, data. This perspective examined recent studies published by main registries, focusing on four critical land-based methods: bioenergy combined with capture storage, biochar, enhanced rock weathering, afforestation reforestation. We compared accounting impact methods employed in these identify their methodological similarities differences. Our analysis reveals that community can support providing insights into baselines, additionality, uncertainty, multifunctionality, safeguards, holistic emission factors, overlooked pools. recommend future research prioritize timing, permanence, scaling, dynamic modeling for CDR. Addressing co-benefit land use change will further benefit both development. Collaboration between communities is essential developing robust frameworks markets policymaking.

Language: Английский

Labelling the Carbon Footprint as a Strategic Element of Environmental Assessment of Agricultural Systems

Agricultural Engineering/Inżynieria Rolnicza, Journal Year: 2024, Volume and Issue: 28(1), P. 235 - 250

Published: Jan. 1, 2024

Abstract The aim of the study was to assess potential use carbon footprint for environmental evaluation agricultural systems. Carbon analysis in agriculture has a strategic dimension terms sustainable food production. Reducing negative impact on climate change is key element many quality management systems and included legislation countries. One challenges calculating lack clear methodologies determination greenhouse gas (GHG) emissions at this stage. Normative documents highlight need consider all areas GHG emissions, but practice, exceedingly difficult due specific characteristics plant production, which takes place under variable conditions related soil type, its properties, chemical composition, climate, production technology. Based review scientific literature, it concluded that studies evaluations technology improvements (implementing actions compensate anthropogenic pressure) should be conducted within an individual system boundary. boundary developed based process map created accordance with guidelines ISO 31000:2018. Most input data used calculations must standardized range parameters dependent natural, geographical, infrastructural location.

Language: Английский