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Waste Management System (waste + management_system)

Distribution by Scientific Domains

Engineering	100%

Selected Abstracts

Prediction of municipal solid waste generation with combination of support vector machine and principal component analysis: A case study of Mashhad

ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY, Issue 2 2009
R. Noori
Abstract Quantity prediction of municipal solid waste (MSW) is crucial for design and programming municipal solid waste management system (MSWMS). Because effect of various parameters on MSW quantity and its high fluctuation, prediction of generated MSW is a difficult task that can lead to enormous error. The works presented here involve developing an improved support vector machine (SVM) model, which combines the principal component analysis (PCA) technique with the SVM to forecast the weekly generated waste of Mashhad city. In this study, the PCA technique was first used to reduce and orthogonalize the original input variables (data). Then these treated data were used as new input variables in SVM model. This improved model was evaluated by using weekly time series of waste generation (WG) and the number of trucks that carry waste in week of t. These data have been collected from 2005 to 2008. By comparing the predicted WG with the observed data, the effectiveness of the proposed model was verified. Therefore, in authors' opinion, the model presented in this article is a potential tool for predicting WG and has advantages over the traditional SVM model. © 2008 American Institute of Chemical Engineers Environ Prog, 2009 [source]

Waste management modeling with PC-based model , EASEWASTE

ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY, Issue 1 2008
Gurbakhash S. Bhander
Abstract As life-cycle-thinking becomes more integrated into waste management, quantitative tools are needed for assessing waste management systems and technologies. This article presents a decision support model to deal with integrated solid waste management planning problems at a regional or national level. The model is called EASEWASTE (environmental assessment of solid waste systems and technologies). The model consists of a number of modules (submodels), each describing a process in a real waste management system, and these modules may combine to represent a complete waste management system in a scenario. EASEWASTE generates data on emissions (inventory), which are translated and aggregated into different environmental impact categories, e.g. the global warming, acidification, and toxicity. To facilitate a "first level" screening evaluation, default values for process parameters have been provided, wherever possible. The EASEWASTE model for life-cycle-assessment of waste management is described and applied to a case study for illustrative purposes. The case study involving hypothetical but realistic data demonstrates the functionality, usability, and flexibilities of the model. The design and implementation of the software successfully address the substantial challenges in integrating process modeling, life-cycle inventory (LCI), and impact assessment (LCIA) modeling, and optimization into an interactive decision support platform. © 2008 American Institute of Chemical Engineers Environ Prog, 2008 [source]

Maximizing resource recovery from waste streams

ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY, Issue 4 2003
Tim Grant
Resource conservation and waste management have become two sides of the same argument. According to the Institutefor Local Self Reliance in the US., the recycling revolution begun in the l960s was a reaction "to the levels of waste in our economy and the pollution and suffering these habits cause worldwide" [1,2]. However, the recycling targetsetting of the early 1990s was focused on diversion from landfill, and it has taken another 10 years for the focus to shift back to the resource values approach, driven largely by the application of Life Cycle Assessment to the waste management system. This paper examines materials in the waste stream to determine the "value proposition" in each material group, and to examine options for efficient resource use and recovery. Specifically, it discusses waste management issues associated with clean fill, food waste, timber waste, concrete and bricks, green waste, paper and board, metals, plastics, and glass. [source]

Life cycle assessment of a PPV plant applied to an existing SUW management system

INTERNATIONAL JOURNAL OF ENERGY RESEARCH, Issue 5 2003
Francesco Di Maria
Abstract The huge amount of wastes produced by modern and developed countries involves important aspects of economical, social and technical fields and also of the environment. For this reason, different technologies have been proposed for trying to reduce the impact of waste management and disposal. Generally waste management system consists of different steps like selective collection, recycling and reuse operation, energy recovery from waste and landfilling. A new technology proposed for thermal waste treatment is the plasma pyrolysis vetrification (PPV). This system seems to have interesting perspective due to the possibility of thermal treatment of dangerous slag or waste producing inactivate vetrified substances that can be landfilled or used as building materials with no impact on the environment. In this study, the effect of the application of a PPV plant on an existing waste management system was evaluated with a life cycle assessment (LCA) analysis. All the activities connected to the existing system have been carefully analysed by collecting a large quantity of experimental data. Some assumptions have been made, in particular, on the PPV plant performance. LCA analysis results illustrate how the environmental benefits arising from the adoption of the new technology, concerns only few aspects of the whole system. Copyright © 2003 John Wiley & Sons, Ltd. [source]