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SMART: An Integrated Planning and Decision Support Tool for Solid Waste Management
Univ Teknol Malaysia, Proc Syst Engn Ctr PROSPECT, Fac Chem Engn, Utm Skudai 81310, Johor, Malaysia..
Univ Teknol Malaysia, Proc Syst Engn Ctr PROSPECT, Fac Chem Engn, Utm Skudai 81310, Johor, Malaysia..
Univ Teknol Malaysia, Proc Syst Engn Ctr PROSPECT, Fac Chem Engn, Utm Skudai 81310, Johor, Malaysia..
Univ Teknol Malaysia, Proc Syst Engn Ctr PROSPECT, Fac Chem Engn, Utm Skudai 81310, Johor, Malaysia..ORCID-id: 0000-0003-3115-7468
Vise andre og tillknytning
2014 (engelsk)Inngår i: 24TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A AND B / [ed] Klemes, JJ Varbanov, PS Liew, PY, ELSEVIER SCIENCE BV , 2014, s. 271-276Konferansepaper (Fagfellevurdert)
Abstract [en]

Solid waste management (SWM) system combined waste streams, waste collection, treatment and disposal methods are critically important to a regional, to achieve environmental economic and societal benefits. Decision-makers often have to rely on optimization models to examine a cost effective, environmentally sound waste management alternative. This paper presents a new systematic framework for long term effective planning and scheduling of SWM. This framework has been converted into software called Solid Waste Management Resource Recovery Tool (SMART). SMART is a first-of-a-kind SWM tool to facilitate the tradeoffs analysis between technical, economical, and environmental at national, regional, state, province, or community level. This simple tool is useful for decision makers for the selection of MSW technology including incineration, landfill, composting and recycling are while minimising the costs and meet CO2 reductions target. The developed tool was applied in Iskandar Malaysia as a case study.

sted, utgiver, år, opplag, sider
ELSEVIER SCIENCE BV , 2014. s. 271-276
Serie
Computer Aided Chemical Engineering, ISSN 1570-7946 ; 33
Emneord [en]
Solid Waste Management (SWM), Optimisation, Solid Waste Management Resource Recovery Tool (SMART), Economical Assessment
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-38391ISI: 000345275100045ISBN: 978-0-444-63443-6 (tryckt)OAI: oai:DiVA.org:mdh-38391DiVA, id: diva2:1182169
Konferanse
24th European Symposium on Computer Aided Process Engineering (ESCAPE), JUN 15-18, 2014, Budapest, HUNGARY
Tilgjengelig fra: 2018-02-12 Laget: 2018-02-12 Sist oppdatert: 2018-02-12bibliografisk kontrollert

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