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Cited by 341

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Municipal solid waste as a valuable renewable energy resource: a worldwide opportunity of energy recovery by using Waste-To-Energy Technologies

Open access
Moya, Diego, Aldás, Clay, López, Germánico, Kaparaju, Prasad·2017·Energy Procedia

Abstract

The generation rate of Municipal Solid Waste is expected to increase to 2.2 billion tonnes per year by 2025 worldwide. However, in developing countries, collection, transport and disposing of waste is still challenging while, in developed countries, emerging technologies are used to produce different by-products such as heat, electricity, compost and bio-fuels. This study assesses the different waste-to-energy technologies developed to date. This work is divided into four groups: biological treatment of waste; thermal treatment of waste; landfill gas utilization; and biorefineries. Furthermore, integrated solid waste management systems with waste-to-energy technologies are studied and some worldwide examples are provided.

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Crossref · 10.1016/j.egypro.2017.09.618

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Metadata

Authors
Moya, D., Aldás, C., López, G., & Kaparaju, P.
Venue
Energy Procedia
Publisher
Elsevier BV
Published
2017-10
Volume
134
Pages
286-295
ISSN
1876-6102 (ISSN-L)
OpenAlex
W2765557668
Cited by
341
References
34
FWCI
64.07
Type
conference paper
Language
en
Open access
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CoChat. (2026). Citation check: Municipal solid waste as a valuable renewable energy resource: a worldwide opportunity of energy recovery by using Waste-To-Energy Technologies. https://app.cochat.ai/papers/10.1016/j.egypro.2017.09.618
The paper
Moya, D., Aldás, C., López, G., & Kaparaju, P. (2017). Municipal solid waste as a valuable renewable energy resource: a worldwide opportunity of energy recovery by using Waste-To-Energy Technologies. Energy Procedia. https://doi.org/10.1016/j.egypro.2017.09.618

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.