The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Green house gas emissions from composting and mechanical biological treatment
Abstract
In order to carry out life-cycle assessments as a basis for far-reaching decisions about environmentally sustainable waste treatment, it is important that the input data be reliable and sound. A comparison of the potential greenhouse gas (GHG) emissions associated with each solid waste treatment option is essential. This paper addresses GHG emissions from controlled composting processes. Some important methodological prerequisites for proper measurement and data interpretation are described, and a common scale and dimension of emission data are proposed so that data from different studies can be compared. A range of emission factors associated with home composting, open windrow composting, encapsulated composting systems with waste air treatment and mechanical biological waste treatment (MBT) are presented from our own investigations as well as from the literature. The composition of source materials along with process management issues such as aeration, mechanical agitation, moisture control and temperature regime are the most important factors controlling methane (CH 4), nitrous oxide (N 2 O) and ammoniac (NH 3) emissions. If ammoniac is not stripped during the initial rotting phase or eliminated by acid scrubber systems, biofiltration of waste air provides only limited GHG mitigation, since additional N 2 O may be synthesized during the oxidation of NH 3, and only a small amount of CH 4 degradation occurs in the biofilter. It is estimated that composting contributes very little to national GHG inventories generating only 0.01—0.06% of global emissions. This analysis does not include emissions from preceding or post-treatment activities (such as collection, transport, energy consumption during processing and land spreading), so that for a full emissions account, emissions from these activities would need to be added to an analysis.
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Cites
Greenhouse Gas Emissions during Cattle Feedlot Manure Composting
Hao, X., Chang, C. C., Larney, F. J., & Travis, G. R. (2001) · Journal of Environmental Quality · doi:10.2134/jeq2001.302376x · Cited by 276
Cited by
Plant growth improvement mediated by nitrate capture in co-composted biochar
Kammann, C. I., Schmidt, H.-P., Messerschmidt, N., Linsel, S., Steffens, D., Müller, C., Koyro, H.-W., Conte, P., & Joseph, S. (2015) · Scientific Reports · doi:10.1038/srep11080 · Cited by 535
Walling, E., & Vaneeckhaute, C. (2020) · Journal of Environmental Management · doi:10.1016/j.jenvman.2020.111211 · Cited by 408
Life cycle assessment of biogas digestate processing technologies
Rehl, T., & Müller, J. (2011) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2011.08.007 · Cited by 340
Slorach, P. C., Jeswani, H. K., Cuéllar-Franca, R., & Azapagic, A. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.07.322 · Cited by 312
Perspectives of Engineered Biochar for Environmental Applications: A Review
Haghighi Mood, S., Pelaez-Samaniego, M. R., & Garcia-Perez, M. (2022) · Energy & Fuels · doi:10.1021/acs.energyfuels.2c01201 · Cited by 104
Metadata
- Authors
- Amlinger, F., Peyr, S., & Cuhls, C.
- Venue
- Waste Management & Research: The Journal for a Sustainable Circular Economy
- Publisher
- SAGE Publications
- Published
- 2008-02
- Volume
- 26
- Issue
- 1
- Pages
- 47-60
- ISSN
- 0734-242X (ISSN-L)
- 1096-3669
- OpenAlex
- W2102127836
- Cited by
- 286
- References
- 1
- FWCI
- 19.42
- Type
- journal article
- Language
- en
- Open access
- closed
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- Amlinger, F., Peyr, S., & Cuhls, C. (2008). Green house gas emissions from composting and mechanical biological treatment. Waste Management & Research: The Journal for a Sustainable Circular Economy. https://doi.org/10.1177/0734242x07088432
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.