Data of the life cycle impact assessment and cost analysis of prospective direct recycling of end-of-life reverse osmosis membrane at full scale

This data includes the geographical data, the Life Cycle Inventory data and Life Cycle Assessment data of the implementation of end-of-life (EoL) reverse osmosis (RO) direct recycling implementation at full scale in a Spanish region. Besides, the data allows the comparison of the environmental profile between recycled membrane products with the commercial counterparts. The EoL-RO stock potential was analysed constrained to the Segura´s watershed. However, the distribution of recycled membranes was considered within the European Union´s borders. The International Life Cycle Data system (ILCD) midpoint impact categories and the indicator Service Life Ratio (SLR) are presented. This data could be used for deepening analyses as the externalities monetarisation or business model identification or policymakers This data article is related to J. Senán-Salinas, A. Blanco, R. García-Pacheco, J. Landaburu-Aguirre, E- García-Calvo. J Prospective Life Cycle Assessment and economic analysis of direct recycling of end-of-life reverse osmosis membranes based on Geographic Information Systems. J. Clean. Prod. In Press


a b s t r a c t
This data includes the geographical data, the Life Cycle Inventory data and Life Cycle Assessment data of the implementation of end-of-life (EoL) reverse osmosis (RO) direct recycling implementation at full scale in a Spanish region. Besides, the data allows the comparison of the environmental profile between recycled membrane products with the commercial counterparts. The EoL-RO stock potential was analysed constrained to the Segura ś watershed. However, the distribution of recycled membranes was considered within the European Union ś borders. The International Life Cycle Data system (ILCD) midpoint impact categories and the indicator Service Life Ratio (SLR) are presented. This data could be used for deepening analyses as the externalities monetarisation or business model identification or policymakers This data article is related to J. Senán-Salinas, A. Blanco, R. García-Pacheco, J. Landaburu-Aguirre, E-García-Calvo. J Prospective Life Cycle Assessment and economic analysis of direct recycling of end-of-life reverse osmosis membranes based on Geographic Information Systems. J. Clean. Prod

Value of the Data
• The impact results with different functional units allow the comparison of the overall impact of of the full implementation of recycling strategies. The spatial information will allow further analysis of logistics within membrane direct recycling. Montecarlo Life cycle Inventory results allows the reproducibility of the study. • Those results could be used for researchers focus on logisctics and membrane recycling. As well as researchers focused on economic, circular economy transition and policy making. • The data could be used for externalities quantification and monetarisation, reproduce the research and develop further logistic analysis.

Data Description
The data consists on the geographic information, distance and payload distance analysis and the environmental indicators (eleven ILCD midpoint categories and their Service Life Ratio) (available at Mendeley repossitory http://dx.doi.org/10.17632/z6db5w8d6k.1 ) concerning the recycling strategies analysed in [1] for the full-scale implementation of a recycling plant at the Segura ś watershed (Spain). Fig. 1 illustrates the boundaries of the case study and the desalination plants incuded int the studied region. Table 1 includes the summary of the desalination facilities in the case study region obtained from AEDYR database. The main features included were the desalination capacity and the type of water treated (SW: sea water; BW: brackish water). This information allowed the estimation of the potential amount of EoL-RO generated by type en each facility. The weights of the modules generated by the waste was extrapoted from the real measurement of 67 modules of different plants and the target water of the design (WD; if they were design to treat seawater (SW) or brackish water (BW)). Raw data can be found in the mendeley repository (DOI: 10.17632/z6db5w8d6k.1) in the file Modules weight.xlsx. Table 2

Reverse logistics analyses and plant location
The recycling plant location was defined through the criteria of the minimum payload distance with the following methodology. A first assessment was performed among the centroids of four suitable areas. To estimate the payload distances the desalination plants and their ca- pacity of the area were identified ( Table 1 ) to estimate the EoL-RO stock according to [2] . The distances were estimated by the shortest route with Google Earth roads in QGIS v3.8. Secondly, the modelling of EoL-RO module weights was performed with the experience of previous experimentations within Life-TRANSFOMEM project ( http://www.life-transfomem.eu/ ). Fitdistrplus R package was used for fitting the weight distribution. The results were showed in Table 2 . The centroid of Cartagena was chosen as the best option due to the lower payload distance ( Fig 2 ) for further steps.

Comparison of distribution impact
For the comparison of the distribution impacts between recycled and new produced membranes three regions were defined related to the recycling plant location: regional, Iberian and European. Within these regions, 1,0 0 0 points per region were randomly obtained from ArcGIS v14. The selection of different functions available in different softwares was mainly defined by easiness and the software availability. In this case, it was a punctual use of a tool of ArcGIS v14 that was considered more practical. The comparison with the commercial distribution schemes was performed with two facilities in Germany and America. Euclidean distances were estimated and corrected by detour factor: 1.25 for road transport and 1.5 for shipping according to [3] . In the case of the transport from the American Facility, the closest docks were selected by end-user point ( Table 3 ).

Goal and Scope
The goal of the LCA was the assessment of the recycling implementation. System boundaries and scope were defined in [1] . The data was aggregated around the functional unit of the one EoL-RO module recycled. This funcitional unit was chosen to increase the comparability with other previous studies focus on the alternative end-of life options and recycling processes. Nonetheless, a secondary functional unit was also used for the Life Cycle Impact assessment: the recycling of all the EoL-RO modules of the Segura ś watershed generated in one year. This secondary functional unit evaluates the overall impact of the strategy. It allows the quantification of the impact of the strategy and the recycling in a macro scale allowing the comparison with other recycling activities or potential policies.

Life cycle impact assessment and service life ratio
The Life Cycle Impact Assessment was performed with OpenLCA v1.10 and R v3.4. The impact method ILCD-midpoint v.1.05 (OpenLCA/NEXUS) was used. Midpoint categories were used to evaluate the direct effect to the environment of the alternatives ( Table 4 ). In particular ILCDmidpoint categories provide a wide vision of the main environmental concerns with high degree of reliability. Also, the service Life Ratio was estimated following [4] .
The authors declare that they have no known competing financial interests or other personal relationships which have, or could be perceived to have, influenced the work reported in this article.