Decentralised Organic Resource Treatments – Classification and comparison through Extended Material Flow Analysis

Decentralised Organic Resource Treatments – Classification and comparison through Extended... The article presents a classification and comparison of Decentralised Organic Resource Treatments (DORTs), a term that refers to relatively small-scale biowaste treatments that have emerged as a promising alternative to centralised, industrial facilities. Despite growing interest from policy makers and waste professionals, accessible and coherent information on different decentralised treatments is currently not available. To overcome this gap in the literature, we propose an Extended Material Flow Analysis (EMFA) based on a review of the literature and expert interviews. In addition to flows of inputs and outputs, the EMFA also accounts on the economic, normative, and technical aspects of each treatment. The final EMFA database includes seven broad types of DORTs (composting, anaerobic digestion, dehydration, lactic acid fermentation, mulching, vermicomposting and animal valorisation) that are further divided into 18 representative models. The most relevant and comparable variables are summarised in form of synthetic flow diagrams. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Cleaner Production Elsevier

Decentralised Organic Resource Treatments – Classification and comparison through Extended Material Flow Analysis

Loading next page...
 
/lp/elsevier/decentralised-organic-resource-treatments-classification-and-H6Lz8FqidE
Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
0959-6526
D.O.I.
10.1016/j.jclepro.2018.02.104
Publisher site
See Article on Publisher Site

Abstract

The article presents a classification and comparison of Decentralised Organic Resource Treatments (DORTs), a term that refers to relatively small-scale biowaste treatments that have emerged as a promising alternative to centralised, industrial facilities. Despite growing interest from policy makers and waste professionals, accessible and coherent information on different decentralised treatments is currently not available. To overcome this gap in the literature, we propose an Extended Material Flow Analysis (EMFA) based on a review of the literature and expert interviews. In addition to flows of inputs and outputs, the EMFA also accounts on the economic, normative, and technical aspects of each treatment. The final EMFA database includes seven broad types of DORTs (composting, anaerobic digestion, dehydration, lactic acid fermentation, mulching, vermicomposting and animal valorisation) that are further divided into 18 representative models. The most relevant and comparable variables are summarised in form of synthetic flow diagrams.

Journal

Journal of Cleaner ProductionElsevier

Published: May 10, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off