The Mathematics of life cycle sustainability assessment

نویسندگان

چکیده

This paper discusses a novel digital output using mathematical computation of life cycle sustainability assessment for design decisions on systemic holistic technical systems. The computational social (SLCA) combining the supply chain import data and hotspot database interacting countries in entire indicates that self-generation electricity sector gives savings community infrastructure (68%), governance (53%), human rights (50%), labour & decent work (24%), health safety (8%), SLCA categories compared to scenarios UK. shows carbon-efficient energy systems net zero greenhouse gas emissions (GHG) increasing order environmental impacts: hydroelectric, wind, biomass, geothermal solar (4–76 gCO2eq./kWh). costing models show within bioenergy, biomass combined heat power give greater feasibility than microbial fuel cells with levelized cost 0.026 0.07 Euro/kWh. TESARREC™ (Trademark: UK00003321198), web-based open-source integrates intrinsic physicochemical, design, operating characteristics model analyse benchmark/standardise GHG renewable, carbon dioxide capture sequestration strategies policy directives.

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ژورنال

عنوان ژورنال: Journal of Cleaner Production

سال: 2021

ISSN: ['0959-6526', '1879-1786']

DOI: https://doi.org/10.1016/j.jclepro.2021.127457