Adapting Technology Learning Curves for Prospective Techno-Economic and Life Cycle Assessments of Emerging Carbon Capture and Utilization Pathways
نویسندگان
چکیده
Comparisons of emerging carbon capture and utilization (CCU) technologies with equivalent incumbent are necessary to support technology developers help policy-makers design appropriate long-term incentives mitigate climate change through the deployment CCU. In particular, early-stage CCU must prove their economic viability environmental reduction potential compared already-deployed technologies. These comparisons can be misleading, as typically experience a drastic increase in performance decrease cost greenhouse gas emissions they develop from research mass-market due various forms learning. changes complicate interpretation early techno-economic assessments (TEAs) life cycle (LCAs) The effects learning over time or cumulative production themselves quantitatively described using curves (TLCs). While curve approaches have been developed for technologies, harmonized methodology TLCs TEA LCA particular is required. To address this, we describe that incorporates into forecast This based on both an evaluation state art assessment literature review TLC manufacturing energy generation sectors. Additionally, demonstrate how implement this case study CO 2 mineralization pathway. Finally, commentary provided researchers, developers, practitioners advance use allow consistent, high-resolution modeling technological going forward enable holistic fairer other
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ژورنال
عنوان ژورنال: Frontiers in climate
سال: 2022
ISSN: ['2624-9553']
DOI: https://doi.org/10.3389/fclim.2022.820261