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dc.contributor.authorWalmsley, Timothy Gordonen_NZ
dc.contributor.authorVarbanov, Petar S.en_NZ
dc.contributor.authorKlemeš, Jiří Jaromíren_NZ
dc.date.accessioned2019-12-09T22:26:37Z
dc.date.available2017-01-01en_NZ
dc.date.available2019-12-09T22:26:37Z
dc.date.issued2017en_NZ
dc.identifier.citationWalmsley, T. G., Varbanov, P. S., & Klemeš, J. J. (2017). Networks for utilising the organic and dry fractions of municipal waste: P-graph approach. Chemical Engineering Transactions, 61, 1357–1362. https://doi.org/10.3303/CET1761224en
dc.identifier.urihttps://hdl.handle.net/10289/13287
dc.description.abstractMinimising the demand for fossil fuels and the greenhouse gas footprints is of high priority for sustainable development. This is true for all societal aspects - including research and development. Waste-to-Energy (WtE) networks are regarded as one of the potential contributors to solving this problem by applying a win-win strategy for simultaneously minimising the landfilled waste, fossil fuel demand and the associated footprints. A critical aspect for the success of a Waste-to-Energy network is to account for the spatial challenges posed by the distributed nature of the waste generation and the energy demands, where the size of the processing facilities and the served areas should be simultaneously optimised. The current work proposes concepts and procedure for targeting these capacities and sizes as the first step in the WtE network synthesis, employing Process Integration and P-graph. An illustrative case study is provided, illustrating the procedure and its application.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherAIDIC Servizi S.r.l.
dc.relation.urihttps://www.cetjournal.it/index.php/cet/article/view/CET1761224
dc.rightsCopyright © 2017, AIDIC Servizi S.r.l. Used with permission.
dc.titleNetworks for utilising the organic and dry fractions of municipal waste: P-graph approachen_NZ
dc.typeJournal Article
dc.identifier.doi10.3303/CET1761224en_NZ
dc.relation.isPartOfChemical Engineering Transactionsen_NZ
pubs.begin-page1357
pubs.elements-id249781
pubs.end-page1362
pubs.publication-statusPublisheden_NZ
pubs.volume61en_NZ
dc.identifier.eissn2283-9216en_NZ
dcterms.abstractMinimising the demand for fossil fuels and the greenhouse gas footprints is of high priority for sustainable development. This is true for all societal aspects – including research and development. Waste-to-Energy (WtE) networks are regarded as one of the potential contributors to solving this problem by applying a win-win strategy for simultaneously minimising the landfilled waste, fossil fuel demand and the associated footprints. A critical aspect for the success of a Waste-to-Energy network is to account for the spatial challenges posed by the distributed nature of the waste generation and the energy demands, where the size of the processing facilities and the served areas should be simultaneously optimised. The current work proposes concepts and procedure for targeting these capacities and sizes as the first step in the WtE network synthesis, employing Process Integration and P-graph. An illustrative case study is provided, illustrating the procedure and its application.
dcterms.abstractMinimising the demand for fossil fuels and the greenhouse gas footprints is of high priority for sustainable development. This is true for all societal aspects – including research and development. Waste-to-Energy (WtE) networks are regarded as one of the potential contributors to solving this problem by applying a win-win strategy for simultaneously minimising the landfilled waste, fossil fuel demand and the associated footprints. A critical aspect for the success of a Waste-to-Energy network is to account for the spatial challenges posed by the distributed nature of the waste generation and the energy demands, where the size of the processing facilities and the served areas should be simultaneously optimised. The current work proposes concepts and procedure for targeting these capacities and sizes as the first step in the WtE network synthesis, employing Process Integration and P-graph. An illustrative case study is provided, illustrating the procedure and its application.


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