Evidence map›Paper›PMID 38501255›Full record

ArticleWaste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA2024

Fundamental drying and agglomeration experiments with bio-fraction and refuse derived fuel for the development of pyrolysis reactor feed.

József Faitli, Zainab Nassr Abdulfattah, Daniel Kioko, Sándor Nagy

Abstract read
In one paragraph

Article in Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

József FaitliInstitute of Raw Materials Preparation and Environmental Technology, University of Miskolc, Miskolc, Hungary.ORCID 0000-0002-4037-5208
Zainab Nassr AbdulfattahInstitute of Raw Materials Preparation and Environmental Technology, University of Miskolc, Miskolc, Hungary.
Daniel KiokoInstitute of Raw Materials Preparation and Environmental Technology, University of Miskolc, Miskolc, Hungary.
Sándor NagyInstitute of Raw Materials Preparation and Environmental Technology, University of Miskolc, Miskolc, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The EU's circular economy concept necessitates increasing the recycling ratio of municipal solid wastes. There are many existing mechanical-biological processing plants in Hungary for the preparation of residual municipal solid wastes (RMSWs). The two most important products of these plants are the bio-fraction and the refuse derived fuel (RDF). Currently, there are problems with both of these material streams in Hungary, since most of the bio-fraction is still landfilled, and the local thermal utilisation of the RDF has not been implemented yet. The high moisture content of the produced bio-fraction and RDF causes difficulties for the downstream operations; therefore, there is recent engineering interest in drying and agglomeration of these materials. The authors have carried out systematic and parallel drying and briquetting experimental series to study the effect of the material, material composition, mass (volume or surface) of the material, particle size distribution and pre-treatment with a cutting mill on drying intensity in a 1 m

Indexed as

DesiccationPyrolysisRefuse DisposalSolid WasteBiofuelsHungaryParticle SizeRecyclingBiofuelsSolid WasteBio-fraction and RDFcompressibility factorconvective dryingMSW briquettingpsychrometric chart

Identifiers

PMID38501255
PMCPMC11373162

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.