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Combining Environmental and Economic Performance for Bioprocess Optimization

pmid: 32423725
Biochemical production faces economic and environmental challenges that need to be overcome to enable a viable and sustainable bioeconomy. We propose an assessment framework that consistently combines environmental and economic indicators to support optimized biochemical production at early development stages. We define internally consistent system boundaries and a comprehensive set of quantitative indicators from life cycle assessment (LCA) and techno-economic assessment (TEA) to combine environmental and economic performance in a single score. Our framework enables the identification of trade-offs across environmental and economic aspects over the entire biochemical life cycle. This approach provides input for the optimization of future biochemicals in terms of overall sustainability, to overcome prevailing obstacles in the development of biochemical production processes.
- Technical University of Denmark Denmark
Biochemical Phenomena, Economics, Environment, Sustainable Development, /dk/atira/pure/sustainabledevelopmentgoals/responsible_consumption_and_production; name=SDG 12 - Responsible Consumption and Production, Biochemistry, /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy, Chemical Industry, Humans
Biochemical Phenomena, Economics, Environment, Sustainable Development, /dk/atira/pure/sustainabledevelopmentgoals/responsible_consumption_and_production; name=SDG 12 - Responsible Consumption and Production, Biochemistry, /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy, Chemical Industry, Humans
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).72 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%
