Life Cycle Assessment, a Decision-Making Tool in Wastewater Treatment Facilities

Author(s):  
Mohamed Tawfic Ahmed
Author(s):  
Farhad Sakhaee

Abstract: Life cycle assessment (LCA) is a tool to evaluate environmental impacts based on products of a process. This research is a case study of wastewater treatment facilities of ERTC (Environmental Resources Training Center), SIUE University, based on available data for two semi-annual sludge quantities (year 2015) from sludge management report. The aim of this study is to compare set of possibilities for a wastewater treatment facility at ERTC. The simulation has been done through SimaPro model. Electricity and methane were considered and the cumulative weight of their impacts has been investigated. Total solids for two semi-annual sludge has been fed to the model in kilogram and different production (electricity and methane) configuration were investigated. The most plausible configuration based on the cumulative environmental impact proposed as best practical solution.


2019 ◽  
Vol 206 ◽  
pp. 27-39 ◽  
Author(s):  
Juan Carlos Gómez de Cózar ◽  
Antonio García Martínez ◽  
Íñigo Ariza López ◽  
Marta Ruiz Alfonsea

Author(s):  
Huihui Qi ◽  
Euihark Lee ◽  
Hae Chang Gea

The Life Cycle Assessment (LCA) is a method to measure the environmental impact of a product’s life stages from the cradle to the grave, and is widely used for packaging sustainability. Although many successful applications using LCA have been reported, the current state of LCA tools still has many limitations. For example, it is difficult to select the best design among the LCA results of design sets. Moreover, the LCA tool cannot implement a decision maker’s preference into the process easily. To overcome these limitations, we developed a decision making tool using LCA for packaging sustainability. First, Pareto Active Set Selection (PASS) method is proposed to find Pareto Front of packaging options. Additionally, Design Preference Function (DPF) is introduced to implement the designer’s preference for selecting the best packaging options. Case studies are presented to demonstrate this decision making tool.


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