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Technoeconomic analysis for biofuels and bioproducts

pmid: 33477090
Technoeconomic analysis (TEA) is an approach for conducting process design and simulation, informed by empirical data, to estimate capital costs, operating costs, mass balances, and energy balances for a commercial scale biorefinery. TEA serves as a useful method to screen potential research priorities, identify cost bottlenecks at the earliest stages of research, and provide the mass and energy data needed to conduct life-cycle environmental assessments. Recent studies have produced new tools and methods to enable faster iteration on potential designs, more robust uncertainty analysis, and greater accessibility through the use of open-source platforms. There is also a trend toward more expansive system boundaries to incorporate the impact of policy incentives, use-phase performance differences, and potential impacts on global market supply.
- Lawrence Berkeley National Laboratory United States
- Energy Biosciences Institute United States
- Joint BioEnergy Institute United States
- Energy Biosciences Institute United States
- University of California System United States
Technology, 670, 330, Agricultural Biotechnology, Medical Biotechnology, Agricultural biotechnology, Medical biotechnology, Veterinary and Food Sciences, Industrial biotechnology, Industrial Biotechnology, Engineering, Agricultural, Biomedical and Clinical Sciences, Biological Sciences, 620, Biofuels, Generic health relevance, Biotechnology
Technology, 670, 330, Agricultural Biotechnology, Medical Biotechnology, Agricultural biotechnology, Medical biotechnology, Veterinary and Food Sciences, Industrial biotechnology, Industrial Biotechnology, Engineering, Agricultural, Biomedical and Clinical Sciences, Biological Sciences, 620, Biofuels, Generic health relevance, Biotechnology
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).95 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
