Applying Fuzzy and Probabilistic Uncertainty Concepts to the Material Flow Analysis of Palladium in Austria

2015 ◽  
Vol 19 (6) ◽  
pp. 1055-1069 ◽  
Author(s):  
David Laner ◽  
Helmut Rechberger ◽  
Thomas Astrup
Keyword(s):  
Material Flow ◽  
Flow Analysis ◽  
Material Flow Analysis ◽  
Probabilistic Uncertainty

scholarly journals Life Cycle Assessment and Material Flow Analysis: Two Under-Utilized Tools for Informing E-Waste Management

2021 ◽  
Vol 13 (14) ◽  
pp. 7939
Author(s):  
Sohani Vihanga Withanage ◽  
Komal Habib
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Material Flow ◽  
Keyword Search ◽  
Technological Development ◽  
Flow Analysis ◽  
Material Flow Analysis ◽  
Civil Society Organizations ◽  
The Past ◽  
Depth Analysis

The unprecedented technological development and economic growth over the past two decades has resulted in streams of rapidly growing electronic waste (e-waste) around the world. As the potential source of secondary raw materials including precious and critical materials, e-waste has recently gained significant attention across the board, ranging from governments and industry, to academia and civil society organizations. This paper aims to provide a comprehensive review of the last decade of e-waste literature followed by an in-depth analysis of the application of material flow analysis (MFA) and life cycle assessment (LCA), i.e., two less commonly used strategic tools to guide the relevant stakeholders in efficient management of e-waste. Through a keyword search on two main online search databases, Scopus and Web of Science, 1835 peer-reviewed publications were selected and subjected to a bibliographic network analysis to identify and visualize major research themes across the selected literature. The selected 1835 studies were classified into ten different categories based on research area, such as environmental and human health impacts, recycling and recovery technologies, associated social aspects, etc. With this selected literature in mind, the review process revealed the two least explored research areas over the past decade: MFA and LCA with 33 and 31 studies, respectively. A further in-depth analysis was conducted for these two areas regarding their application to various systems with numerous scopes and different stages of e-waste life cycle. The study provides a detailed discussion regarding their applicability, and highlights challenges and opportunities for further research.

Dynamic material flow analysis of natural graphite in China for 2001-2018

2021 ◽  
Vol 173 ◽  
pp. 105732
Author(s):  
Xue Rui ◽  
Yong Geng ◽  
Xin Sun ◽  
Han Hao ◽  
Shijiang Xiao
Keyword(s):  
Material Flow ◽  
Flow Analysis ◽  
Material Flow Analysis ◽  
Natural Graphite

Dynamics of Regional Recycling Economy Development Based on Material Flow Analysis: A Case Study in Shandong Province

2011 ◽  
Vol 347-353 ◽  
pp. 2961-2966
Author(s):  
Dian Ming Geng ◽  
Jia Xiang Liu
Keyword(s):  
Water Supply ◽  
Circular Economy ◽  
Material Flow ◽  
Flow Analysis ◽  
Material Flow Analysis ◽  
Shandong Province ◽  
Utilization Efficiency ◽  
Recycling Economy ◽  
Material Input ◽  
Inputs And Outputs

In order to study the development of regional recycling economy, the material inputs and outputs of the eco-economic system in Shandong Province during the period from 1996 to 2009 were systematically analyzed by the material flow analysis(MFA). The results show that, (1)excluding water, material inputs and outputs rose persistently, but both were lower than the rate of GDP growth. (2)Water supply had a turning point in 2003, from 25.239 billion tons down to 21.934 billion tons, followed by the total annual water supply has been maintained at 220 million tons. At the same time the amount of wastewater emissions is increasing, especially domestic wastewater emissions had faster growth and that increased pressure on the regional water environment;(3) Steady increase in material input intensity, material output intensity presented a first increased and then decreased trend, that showed since Shandong Province proposed the strategic planning to develop circular economy, the development of regional circular economy have improved the material utilization efficiency and made a material reduction in output in the case of material input growth achieved. The rapid increase of material input and output efficiency further illustrated the efficiency of resource comprehensive utilization and waste output have been significantly improved.

Japanese 3R Policies Based on Material Flow Analysis

2008 ◽  
Vol 12 (5-6) ◽  
pp. 792-798 ◽  
Author(s):  
Hiroaki Takiguchi ◽  
Kazuhiko Takemoto
Keyword(s):  
Material Flow ◽  
Flow Analysis ◽  
Material Flow Analysis

Cape Town’s Metabolism: Insights from a Material Flow Analysis

2016 ◽  
Vol 21 (5) ◽  
pp. 1237-1249 ◽  
Author(s):  
Paul Hoekman ◽  
Harro von Blottnitz
Keyword(s):  
Material Flow ◽  
Flow Analysis ◽  
Material Flow Analysis

A Decision-support System for Recycling of Residents’ Waste Plastics in China Based on Material Flow Analysis and Life Cycle Assessment

2021 ◽  
Author(s):  
MANZHI LIU ◽  
Jixin Wen ◽  
Linlin Zhang ◽  
Jixin Wu ◽  
Xiaotao Yang ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Life Cycle Assessment ◽  
Carbon Emissions ◽  
Material Flow ◽  
Emission Reduction ◽  
Flow Analysis ◽  
Material Flow Analysis ◽  
Waste Plastics ◽  
Plastics Recycling ◽  
Waste Plastics Recycling

Abstract Recycling waste plastics is one of the important ways to save petroleum resources and reduce carbon emissions. However, the current recycling rate of waste plastics is still low. Material flow analysis can help determine the flow of waste plastics, and life cycle assessment (LCA) can be used to quantify environmental impacts. The present study integrates these two methods into the model construction of the residents’ waste plastics recycling decision-support system. This model construction is followed by sensitivity analysis of the relevant parameters affecting the performance of the waste plastics recycling system. Finally, present study forecasts the recycling system’s performance and environmental impacts by setting four optimization scenarios based on sensitivity analysis. The results show that in 2019, A total of 8.39 million tons of high-end applications were recovered, carbon emissions during the recycling process were 34.9 million tons, and dioxin emissions were 316.11 g TEQ, with a total emission reduction of 24.47 million tons of CO2 compared to the original production. In the scenario of comprehensive improvement, in 2035, the recycling volume of high-end applications will rise to 33.96 million tons, the carbon emissions will rise to 64.73 million tons, the dioxin emissions will drop to 165.98 g TEQ, and the carbon emission reduction will rise to 99.06 million tons. This research has a certain guiding role for policy makers to formulate industry norms and related policies for waste plastic recycling.

Sign in / Sign up

Export Citation Format

Share Document