Material vs. Energy Recovery – An Assessment Using Computational Tools NERUDA and JUSTINE
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (11/2016)
The paper describes a continuing work on a unique approach of a Waste-to-Energy (WtE) Project assessment and related risk analysing. It is based on long time developed computational tools NERUDA and JUSTINE which support decision making in the field of waste Management.

CO2 calculation tool for sustainable green waste management
© European Compost Network ECN e.V. (6/2014)
CO2 calculation tool for sustainable green waste management This presentation will outline key features of an innovative and practical CO2 calculation tool, which allows to quantify CO2-effects of green waste processing and of application of derived products. Unique about the tool is that it does not only calculate CO2-effects of energy applications (e.g. use of wood chips as fuel or), but also accounts for CO2-effects of material re-use, most notably compost products. Optionally, the tool can take into account CO2-effects of innovative, biobased products from green waste.

Improvement of hazardous waste management in Turkey through introduction of a web-based system for data collection and quality control
© Wasteconsult international (6/2010)
The Waste Framework Directive (WASTE FRAMEWORK DIRECTIVE, 2008) specifies certain measures to ensure that waste is recovered or disposed of in accordance with Article 13, i.e. without endangering human health or harming the environment. Specific measures laid down in the WFD include the introduction and common use of appropriate classification systems (LoW: Art. 7; recovery and disposal codes: Annex I and II), the principle of producer responsibility (Art. 14, Art. 15), the issue of permits for waste treatment facilities (Art. 23), the drafting of waste management plans (Art. 28), the requirement that the actors of waste management shall be subject to appropriate periodic inspections (Art 34) and their obligation to keep records on their activities (Art. 35).

DeconRCM: A decision support system tool for renovation and demolition waste management
© Aristotle University of Thessaloniki (6/2009)
The absence of a certified network for the collection and processing of the materials contained in generated Renovation and Demolition (R&D) waste is a main shortcoming of R&D waste management in Greece. Until recently, less than 5% of all R&D waste generated in Greece was reused or recycled, while the rest was landfilled or disposed in uncontrolled, open dumps. In order to increase the community’s awareness in environmental issues a research team has been formed and qualified for the funding of the project “Information System for Demolition Waste Management” (DEWAM project).

STAN becomes 2
© Lehrstuhl für Abfallverwertungstechnik und Abfallwirtschaft der Montanuniversität Leoben (11/2008)
MFA is the systematic assessment of flows and stocks of materials within an arbitrarily complex system defined in space and time. The term material serves as an umbrella term for both goods and substances. Goods are defined as economic entities of matter with a positive or negative value (e.g. drinking water, fuel oil, and solid waste, sewage, respectively). Some goods have no economic value, i.e. they are neutral in their values, e.g. air or precipitation. Goods contain substances. A substance is any (chemical) element or compound composed of uniform units.

Development of a software for forecasting the odour emissions from composting plants.
© European Compost Network ECN e.V. (10/2008)
Odour emissions that could arise from composting plants while operating pose a major problem for the designers, operators and neighbourhoods of composting plants.

Applied landfill information analysis system (ALIAS): development of a relational database system used to analyze the effects of landfill operational and performance characteristics
© IWWG International Waste Working Group (10/2007)
ALIAS is a web–based relational database application that links analytical chemistry data for environmental samples to the physical attributes of Waste Management’s solid waste landfill facilities located throughout North America.

AUTOMATIC REPORTING BASED ON A CENTRAL DATA BASE IN NORTH RHINEWESTPHALIA/GERMANY – FIRST STEP: THE DIGITAL WASTE DISPOSAL ATLAS
© IWWG International Waste Working Group (10/2007)
Automatic reporting could be regarded as an ultimate and very ambitious step on a long way of data processing. The North Rhine-Westphalian State Agency for Nature, Environment and Consumer Protection completed this final step for their waste management data.

LANDFILL WASTE SETTLEMENT PREDICTION BY NUMERICALLY MODELLING WASTE PROCESSES
© IWWG International Waste Working Group (10/2007)
When waste placement in a landfill phase is complete, a low permeability capping system is applied to prevent infiltration of rainwater, to prevent escape of landfill gas and to establish plant growth. At that time the restoration surface is the “pre-settlement profile”. The biodegradable components of the waste break down over a long period of time to form landfill gas and leachate. These are extracted as part of the landfill management. The waste degradation processes steadily reduce the mass of the waste and the restoration surface steadily settles. The settlement rate is rapid in the early years following capping but gradually reduces with time. The “post-settlement profile” for a restored landfill is the profile intended to exist in the long term when all settlement in the landfilled waste has finished.

CALIBRATED WASTE SETTLEMENT PREDICTION DATA FROM NUMERICAL MODELLING OF WASTE PROCESSES AT SOME UK LANDFILL SITES
© IWWG International Waste Working Group (10/2007)
The development of a reliable numerical method to predict post-capping waste settlement with time by modelling waste degradation processes and the application of the model to a number of landfills are described in Thomas and Cooke (2007). Key points of that paper are summarised below. This paper provides greater detail of calibrated post-capping settlement predictions where several phases of landfilling have been modelled on a single site. The data are used to illustrate discussions of settlement prediction, calibration, biodegradability of waste types, landfilling approaches and formulation of revised post-settlement profiles to ensure planned post-settlement profiles will be achieved; thereby expanding conclusions drawn in Thomas and Cooke (2007). Possible future changes in the nature of wastes which will be landfilled in UK are discussed briefly.

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