

@mastersthesis {6969,
	title = {Modelling of integrated waste management systems ({BL})},
	year = {2001},
	note = {U130081},
	school = {Cranfield University (United Kingdom)},
	type = {phdPh.{D}.},
	address = {Ann Arbor},
	abstract = {As a piece of strategic research, the study consists of three distinct parts. The first considers MSW-management in the UK, the way in which it is practised and the drivers for change in the future. The second section involves analysis of the household as a waste generating unit and how waste arisings in the future might be predicted. The final, and arguably most important part of the work involves development of a novel means of assessing strategic waste-management systems. Using a software tool developed for the water industry (WRAP) and a front-end waste-prediction methodology, integrated waste-management models have been produced to facilitate the analysis of how current operations might be optimised, and the assessment of the performance of potential future MSW-management scenarios within the case-study authorities.Anaerobic digestion of MSW and co-digestion with sewage sludge have been used as examples of new technologies required to contribute to integrated waste-management solutions. Throughout the work, one of the major aims has been to examine where these options might fit within future, integrated MSW-management. Findings have suggested that with increasing landfill tax levels, reduced availability of landfill void space, the requirements of the EC Landfill Directive and greater costs of transport, such strategies, making use of locally available sites and those based on new technologies will become progressively more sustainable over time (both environmentally and economically) than present systems.The modelling approach and application of WRAP software for waste systems analysis can be applied to any Local Authority, or group of Authorities, in the UK. Commercial application of the work has proven the flexibility of the modelling process, resulting in the identification of improved operational practices and cost savings achievable in a range of water and waste management organisations.},
	keywords = {(UMI)AAIU130081, 0775:Environmental engineering, Applied sciences, Bibliographies, Environmental engineering, Psychology{\textendash}Abstracting, Statistics},
	url = {http://search.proquest.com/docview/301586989?accountid=14270},
	author = {Sampson, G}
}
