The Amsterdam pilot on bottom ash

Rem, Peter; Vries, C. de; Kooy, L.A. van; Bevilacqua, Paolo; Reuter, M.A.

doi:10.1016/j.mineng.2003.11.009

Cited by 27 publications

(14 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Typically, dry treatment recovery rates of non-ferrous metals drop from almost 100% for particles larger than 20 mm to virtually zero at some lower particle size between 5 mm and 12 mm, depending on the screening steps and the ECS technology of the process. Wet processes [10,11] and the Advanced Dry Recovery process [6] recover aluminium and heavy non-ferrous particles down to 2 mm. The samples were therefore screened at 2 mm, 5 mm and 20 mm.…”

Section: Analysis Methodologymentioning

confidence: 99%

Optimizing Non-Ferrous Metal Value from MSWI Bottom Ashes

Berkhout¹,

Oudenhoven²,

Rem³

2011

JEP

View full text Add to dashboard Cite

show abstract

Section: Analysis Methodologymentioning

confidence: 99%

Optimizing Non-Ferrous Metal Value from MSWI Bottom Ashes

Berkhout¹,

Oudenhoven²,

Rem³

2011

JEP

View full text Add to dashboard Cite

show abstract

“…This assumption was a crude, in reality up to 25% of the aluminum could be recovered from the bottom ash [27]. The effect of this assumption was studied in a sensitivity analysis;  The emissions from the disposal of the non-metallic fraction of MSWI plant bottom ash was assumed to remain independent from the metal concentration in the ash;  The transportation of tin-plated steel scrap was not included in this study, because this fraction was transported abroad and its accurate destination was unknown.…”

Section: Description Of the Boundaries Of The Studymentioning

confidence: 99%

“…The base case scenario calculation was made with an assumption that aluminum would not be recovered after incineration. This is a crude assumption as up to 25% of aluminum is recoverable after the incineration process [27]. One reason for low yield of aluminum after MSWI is the combination of aluminum's high affinity to oxygen, the high temperature in the MSWI furnace and aluminum's low melting point, which causes melting of aluminum and spreading into small droplets.…”

Section: Metal Recycling and Recoverymentioning

confidence: 99%

Comparison of Collection Schemes of Municipal Solid Waste Metallic Fraction: The Impacts on Global Warming Potential for the Case of the Helsinki Metropolitan Area, Finland

2012

View full text Add to dashboard Cite

Abstract:In this research article the sustainability of different practices to collect the metal fraction of household waste in the Helsinki metropolitan area, Finland is examined. The study is carried out by calculating and comparing the greenhouse gas reduction potential of optional practices for collecting the metal fraction of household waste in the Helsinki metropolitan area, Finland. In order to locate the greenhouse gas reduction potential of the separate collection of the metallic fraction of municipal solid waste (MSW) collected from residential sources, a comparative carbon footprint analysis using Life Cycle Assessment (LCA) on six different waste management scenarios is carried out. The modeled system consisted of a waste collection system, transportation, and different waste management alternatives, including on-site separation, separation at the waste management facility as well as metallurgical recovery of separated scrap. The results show that, in terms of greenhouse gas emissions, separate collection and recycling of the metallic fraction of solid MSW at residential properties is the preferable option compared to a scenario with no source sorting and incineration of everything. According to this research scenario where the metal fraction of solid household waste was not source-separated or collected separately have clearly higher greenhouse gas emissions compared to all the other scenarios with separate collection for metals. In addition, metal recycling by regional collection points has considerably lower greenhouse gas emission potential than metal recycling by collection directly from residential properties.

show abstract

“…Results: The HSI based analyses have been carried out on samples of sand fraction (-2 mm) resulting from a wet processing, applied to the bottom ash resulting from the Amsterdam MSW incinerator and finalized to obtain a product where the residual organic matter and fines satisfied the Dutch building materials decree [30]. Both chemical and hyperspectral imaging analyses have been carried out, in order to find a correlation between chemical composition of sand product, with particular reference to the organic matter content, and spectral signature in the visible-near-infrared (VIS-NIR) wavelength range: 400-1000 nm, in order to also identify and locate the presence of polluting materials.…”

Section: Bottom Ashesmentioning

confidence: 99%

The Utilization of Hyperspectral Imaging for Impurities Detection in Secondary Plastics

Serranti¹,

Gargiulo²,

Bonifazi³

et al. 2010

TOWMJ

View full text Add to dashboard Cite

The systematic identification of impurities inside secondary plastics flow streams can be considered as one of the key issues to certify and to classify waste plastics fed to recycling plants and to perform a full control of the resulting processed fractions, that have to comply with market demands on grade and purity of the recovered products when compared with virgin streams. HyperSpectral Imaging (HSI) can represent an optimal, reliable and low costs answer to reach the previous mentioned goals. HSI is based on the utilization of an integrated hardware and software architecture able to digitally capture and handle spectra, as an image sequence, as they results along a pre-defined alignment on a surface sample properly energized. According to the different wavelengths of the source and the different spectral sensitivity of the device, different physical-chemical superficial characteristics of the sample can be investigated and analyzed. Such an approach, if fully investigated and implemented, could allow to perform a big-step-forward inside quality-inspection-control-strategies/logics (QICSL) applied to the entire waste sector. The identification of contaminants in secondary plastics, adopting HSI, thus can represent a first attempt to introduce new QICSL in an innovative polyolefins separation process from end-of-life product. Such an approach well fit the goals that are at the base of a the application of a non-linear Cyclic Innovation Model (CIM) addressed to connect technical capabilities (contaminants identification) with societal market needs (quality of the recycled products).

show abstract

The Amsterdam pilot on bottom ash

Cited by 27 publications

References 1 publication

Optimizing Non-Ferrous Metal Value from MSWI Bottom Ashes

Optimizing Non-Ferrous Metal Value from MSWI Bottom Ashes

Comparison of Collection Schemes of Municipal Solid Waste Metallic Fraction: The Impacts on Global Warming Potential for the Case of the Helsinki Metropolitan Area, Finland

The Utilization of Hyperspectral Imaging for Impurities Detection in Secondary Plastics

Contact Info

Product

Resources

About