ABSTRACT
The organisational life cycle assessment (O-LCA) and the social organisational life cycle assessment (SO-LCA) of the University of the Basque Country UPV/EHU were conducted. The data presented in this paper support the calculation of the environmental and social footprint of the University of the Basque Country UPV/EHU for year 2016 [1], and may be used as a reference for future calculations of the environmental and social footprint of higher education institutions and other organisations. This dataset provides detailed information on the UPV/EHU and the boundaries considered; on the compilation and quantification of the life cycle inventory (LCI) -which included a transport survey conducted in summer 2018-; and on the modelling process followed for the calculation of the environmental and social footprints, based on the ecoinvent 3.3 database [2] and PSILCA-based Soca v1 add-on [3, 4], and carried out with the openLCA free software [5]. The dataset also includes the life cycle impact assessment (LCIA) results provided by the CML (baseline, 2015) [6] and ReCiPe (endpoint (H), 2008) [7] LCIA methods and post-processed social impacts provided by the Social Impacts Weighting Method [3], disaggregated by subprocesses and impact locations. Data is provided for the reference year (2016), and some aggregated data is also provided for alternative scenarios that were explored in order to check pathways to reduce social and environmental impacts of the academic activity of the UPV/EHU [1].
ABSTRACT
The COVID-19 pandemic is the single largest event in contemporary history in terms of the global restriction of mobility, with the majority of the world population experiencing various forms of "lockdown". This phenomenon incurred increased amounts of teleworking and time spent at home, fewer trips to shops, closure of retail outlets selling non-essential goods, and the near disappearance of leisure and recreational activities. This paper presents a novel method for an economy-wide estimate of the emissions reductions caused by the restriction of movement. Using a global multiregional macro-economic model complemented by Google Community Mobility Reports (CMRs) and national transport data, we cover 129 individual countries and quantify direct and indirect global emissions reductions of greenhouse gases (GHG; 1173 Mt), PM2.5 (0.23 Mt), SO2 (1.57 Mt), and NOx (3.69 Mt). A statistically significant correlation is observed between cross-country emission reductions and the stringency of mobility restriction policies. Due to the aggregated nature of the CMRs, we develop different scenarios linked to consumption, work, and lifestyle aspects. Global reductions are on the order of 1-3% (GHG), 1-2% (PM2.5), 0.5-2.8% (SO2), and 3-4% (NOx). Our results can help support crucial decision making in the post-COVID world, with quantified information about how direct and indirect consequences of mobility changes benefit the environment.
ABSTRACT
Lithium-sulfur (Li-S) batteries present a great potential to displace current energy storage chemistries thanks to their energy density that goes far beyond conventional batteries. To promote the development of greener Li-S batteries, closing the existing gap between the quantification of the potential environmental impacts associated with Li-S cathodes and their performance is required. Herein we show a comparative analysis of the life cycle environmental impacts of five Li-S battery cathodes with high sulfur loadings (1.5-15 mg·cm-2) through life cycle assessment (LCA) methodology and cradle-to-gate boundary. Depending on the selected battery, the environmental impact can be reduced by a factor up to 5. LCA results from Li-S batteries are compared with the conventional lithium ion battery from Ecoinvent 3.6 database, showing a decreased environmental impact per kWh of storage capacity. A predominant role of the electrolyte on the environmental burdens associated with the use of Li-S batteries was also found. Sensitivity analysis shows that the specific impacts can be reduced by up to 70% by limiting the amount of used electrolyte. Overall, this manuscript emphasizes the potential of Li-S technology to develop environmentally benign batteries aimed at replacing existing energy storage systems.
