Constructing an allocation factor based on product- and process-related parameters to assess environmental burdens of producing value-added sludge-based products

Marilys Pradel 1, 2, 3 Lynda Aissani 2, 4, 5 Jean-Pierre Canler 2, 6 Jean-Christophe Roux 3, 2 Jonathan Villot 7, 1 Jean-Christophe Baudez 3, 2, 8 Valérie Laforest 7, 1
1 EVS - Environnement Ville Société
2 IRSTEA - Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture
3 UR TSCF - Technologies et systèmes d'information pour les agrosystèmes
4 UBL - Université Bretagne Loire
5 UR OPAALE - Optimisation des procédés en Agriculture, Agroalimentaire et Environnement
6 UR MALY - Milieux aquatiques, écologie et pollutions
7 FAYOL-ENSMSE - Département Génie de l’environnement et des organisations
8 LIST - Luxembourg Institute of Science and Technology
Abstract : Sludge is slowly moving away from providing basic by-products and towards providing value-added products (e.g. fertilisers); therefore, it is no longer perceived as waste but as a product. Consequently, wastewater treatment plants become multifunctional systems that produce two coproducts that are given a second life: sludge and “clean” water. An allocation factor in Life Cycle Assessment can partition environmental burdens of wastewater treatment between these two products, but doing so remains highly challenging. To address this challenge, we followed a four-step procedure to develop an allocation factor using a mesoscopic approach and process- and product-related parameters in a mathematical model. The first two steps consisted of determining and mathematically representing process- and product-related parameters and their associations to define a global allocation factor. The third step consisted of constructing a corrective inventory matrix to adjust the global allocation factor, since inventory flows can be specific to certain processes. The last step consisted of mathematical modelling of the final corrected allocation factor. Based on the parameters chosen, the global allocation factor equalled 45% for sludge and 55% for water. A sensitivity analysis was performed to assess the robustness of the sludge allocation factor, which varied from 39 to 49%. The allocation factor developed reflects technological performances of the system and considers environmental impacts of sludge production to assess environmental impacts of value-added sludge-based products.
Keywords : Sludge Wastewater treatment Process-related parameter Product-related parameter Allocation factor Mathematical modelling
Type de document :
Article dans une revue
Journal of Cleaner Production, Elsevier, 2018, 171, pp.1546-1557. 〈10.1016/j.jclepro.2017.10.112〉
Liste complète des métadonnées
https://hal-emse.ccsd.cnrs.fr/emse-01617742
Contributeur : Florent Breuil <>
Soumis le : mardi 17 octobre 2017 - 09:00:27
Dernière modification le : mercredi 31 octobre 2018 - 12:24:17

Identifiants

Collections

EMSE | EVS-PIESO-ENSMSE | FAYOL-ENSMSE | PIESO-ENSMSE | IRSTEA | TDS-MACS | ENS-LYON | UNIV-LYON2 | UNIV-ST-ETIENNE | ENTPE | EVS_UMR5600 | INSA-LYON | LABEXIMU | ECOSD

Citation

Marilys Pradel, Lynda Aissani, Jean-Pierre Canler, Jean-Christophe Roux, Jonathan Villot, et al.. Constructing an allocation factor based on product- and process-related parameters to assess environmental burdens of producing value-added sludge-based products. Journal of Cleaner Production, Elsevier, 2018, 171, pp.1546-1557. 〈10.1016/j.jclepro.2017.10.112〉. 〈emse-01617742〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

285

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD