The Mathematics of life cycle sustainability assessment.

This paper discusses a novel digital output using mathematical computation of life cycle sustainability assessment for design decisions on systemic holistic sustainability of technical systems. The computational social life cycle assessment (SLCA) combining the supply chain import data and social hotspot database for interacting countries in entire supply chain indicates that self-generation in electricity sector gives savings in community infrastructure (68%), governance (53%), human rights (50%), labour rights & decent work (24%), and health & safety (8%), SLCA categories compared to electricity import scenarios in the UK. The life cycle assessment shows the carbon-efficient energy systems for net zero greenhouse gas emissions (GHG) in increasing order of environmental impacts: hydroelectric, wind, biomass, geothermal and solar (4–76 gCO 2 eq./kWh). The technical and life cycle costing models show that within bioenergy, biomass combined heat and power systems give greater feasibility than microbial fuel cells with a levelized cost of electricity of 0.026 and 0.07 Euro/kWh. TESARREC™ (Trademark: UK00003321198), a novel web-based open-source digital output integrates intrinsic physicochemical, design, operating and systemic characteristics to model and analyse technical systems for sustainability and benchmark/standardise GHG of renewable, biomass and carbon dioxide capture and sequestration strategies for policy directives. [Display omitted] • Advances in mathematical computing and digitalisation for LCSA have been discussed. • Physicochemical-design-operating-systemic influences on technical and LCSA models. • Novel digital platform for a sustainable world: TESARREC™ Trademark: UK00003321198. • Hydroelectric-wind-biomass-geothermal-solar systems analysed for net zero GHG. • Biomass CHP and microbial fuel cell systems technoeconomic models discussed. [ABSTRACT FROM AUTHOR]