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This dataset contains the full results of a scenario analysis for the impact of material efficiency on material use, energy consumption, and GHG emissions for passenger vehicles and residential buildings with global scope. The results were generated with v2.4 of the ODYM-RECC model (open dynamic material systems model for the resource efficiency and climate change mitigation project), which is a modular depiction of major end-use sectors and the material cycles for the climate-relevant bulk materials (https://github.com/YaleCIE/RECC-ODYM). Its system definition comprises the use phase of materials (in products) and the material cycle stages mining, primary production, manufacturing, waste management and scrap recovery, and remelting/recycling as well as an energy supply scenario. ODYM-RECC generates a set of what-if scenarios for the climate-relevant end-use sectors and bulk material cycles against different socioeconomic, technology deployment, and climate policy backgrounds. It does so by applying a mass-balanced framework for the material cycles. It allows us to study the impacts of a broad spectrum of sustainable development strategies on the material cycles and identify trade-offs and constraints. It does not assess the likelihood of realisation of any of the scenarios studied but checks if mass balance constraints (e.g. by long product lifetimes or limited scrap supply) render some scenarios unfeasible from a material cycle point of view.
material flow analysis, material efficiency, modeling, industrial ecology, climate change mitigation
material flow analysis, material efficiency, modeling, industrial ecology, climate change mitigation
| selected citations These citations are derived from selected sources. 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 63 | |
| downloads | 22 |

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