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Waste Modelling Using Substance Flow Analysis and Life Cycle Assessment
KTH, Superseded Departments, Chemical Engineering and Technology.ORCID iD: 0000-0002-5535-6368
KTH, Superseded Departments, Chemical Engineering and Technology.
1998 (English)In: Proceedings of the Air & Waste Management Association’s Annual Meeting, Stockholm: KTH , 1998, 15pp- p.Conference paper (Refereed)
Abstract [en]

Computer models of municipal waste management have been developed initially to focus on cost minimization. As focus in local planning changed, the objective of these models now include environmental optimization. The development of life-cycle assessment (LCA) as a standard means to quantify environmental impact, and of substance flow analysis (SFA) as a means to track down causes of environmental problems has offered new possibilities in this field. The ORWARE (ORganic WAste REsearch) connects LCA and SFA for evaluation of environmental impact in waste planning. Despite the holistic approach of waste planning models, they do not necessarily facilitate decision making.

Place, publisher, year, edition, pages
Stockholm: KTH , 1998. 15pp- p.
Keyword [en]
Environmental Engineering, Waste modeling, Substance flow analysis, Life cycle assessment, Mathematical models, Life cycle, Municipal engineering, Computer simulation, Environmental impact, Optimization, Management, Strategic planning, Standards
National Category
Other Environmental Engineering
URN: urn:nbn:se:kth:diva-12382OAI: diva2:310557
91st Annual Meeting & Exposition of the Air & Waste Management Association; San Diego, CA, USA; 14 June 1998 through 18 June 1998
QC 20100414Available from: 2010-04-14 Created: 2010-04-14 Last updated: 2011-02-07Bibliographically approved
In thesis
1. Environmental System Analysis of Waste Management: Experiences from Applications of the ORWARE Model
Open this publication in new window or tab >>Environmental System Analysis of Waste Management: Experiences from Applications of the ORWARE Model
2000 (English)Doctoral thesis, comprehensive summary (Other scientific)
Abstract [en]

Waste management has gone through a history of shiftingproblems, demands, and strategies over the years. In contrastto the long prevailing view that the problem could be solved byhiding or moving it, waste is now viewed as a problem rangingfrom local to global concern, and as being an integral part ofseveral sectors in society. Decisive for this view has beensociety’s increasing complexity and thus the increasingcomplexity of waste, together with a general development ofenvironmental consciousness, moving from local focus on pointemission sources, to regional and global issues of more complexnature.

This thesis is about the development and application orware;a model for computer aided environmental systems analysis ofmunicipal waste management. Its origin is the hypothesis thatwidened perspectives are needed in waste managementdecision-making to avoid severe sub-optimisation ofenvironmental performance. With a strong foundation in lifecycle assessment (LCA), orware aims to cover the environmentalimpacts over the entire life cycle of waste management. It alsoperforms substance flow analysis (SFA) calculations at a ratherdetailed level of the system.

Applying orware has confirmed the importance of applyingsystems perspective and of taking into account site specificdifferences in analysis and planning of waste manage-ment,rather than relying on overly simplified solutions. Somefindings can be general-ised and used as guidelines to reduceenvironmental impact of waste management. Recovery of materialand energy resources from waste generally leads to netreductions in energy use and environmental impact, because ofthe savings this brings about in other sectors. Waste treatmentwith low rate of energy and materials recovery should thereforebe avoided. The exact choice of technology however depends onwhat products can be recovered andhow they are used.

Despite the complexity of the model and a certain degree ofuser unfriendliness, involved stakeholders have expressed thevalue of participating in orware case studies. It providesimproved decision-basis, but also wider understanding of thecomplexity of waste management and of environmental issues ingeneral.

The thesis also contains a first suggestion of a frameworkto handle uncertainty in orware, based on a review of types ofuncertainty in LCA and tools to handle it.

Place, publisher, year, edition, pages
Stockholm: KTH, 2000. x p.
Trita-KET-IM, ISSN 1402-7615 ; 2000:15
municipal solid waste (MSW), waste management, waste management planning, model, environmental systems analysis, life cycle assessment (LCA), substance flow analysis (SFA), substance flows, environmental impact, energy, uncertainty
National Category
Chemical Engineering
urn:nbn:se:kth:diva-3055 (URN)
Public defence
2000-12-08, 00:00 (English)
QC 20100413 NR 20140805Available from: 2000-12-07 Created: 2000-12-07 Last updated: 2010-04-28Bibliographically approved

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