Application of the WAMED model to landfilling

Abstract

A cost methodology is proposed for evaluating the ecological-economic effi ciency of a municipal solid waste management scheme based on the recommendations of cost-benefi t analysis and the full-cost accounting methodology for municipal solid waste management. The methodology employs the previously introduced waste managements' effi cient decision (WAMED) model and the company statistical business tool for environmental recovery (COSTBUSTER) indicator. A case study presents the practical application of the proposed cost-benefi t analysisbased theory to the landfi lling concept currently applied in Kalmar, Sweden. It is concluded that the presented provisions for evaluation of the ecological-economic effi ciency of a municipal solid waste management scheme refl ect a novel integrated approach to solving the problem of simultaneously decreasing the negative impacts of municipal solid waste on the environment and the health of the population while providing an information support tool for decision making in municipal solid waste management at regional and municipal levels to improve small-and medium-sized company competitiveness in particular.Key words Cost-benefi t analysis · Landfi lling · MSW · ECO-EE J Mater Cycles Waste Manag (2008) 10:62-70

Costs Analysis of Municipal Solid Waste Management Scenarios: Iasi – Romania Case Study

“…They also showed that the investment capital and operating costs for incineration are higher than those for landfilling and concluded that incineration facility becomes competitive financially when the landfill facility is located at a considerable distance from the city (500 km). Moutavtchi et al (2008Moutavtchi et al ( , 2010) developed a cost structure model for solid waste management which included capital costs, operating costs, other costs (that we have also considered in this paper), in addition to this they included costs for extensive and routine repairs, infrastructure costs, investment project services costs, costs for current monetary damage caused by pollution of the environment, environmental taxes. Rhoma et al (2010) developed a mathematical model for estimating solid waste management costs including: logistic costs, vehicle costs, personnel costs, container costs etc.…”

“…Our model developed in this paper contains some variables and some equations for calculation similar to those presented by Rhoma et al (2010) and Moutavtchi et al (2008Moutavtchi et al ( , 2010. The calculation model developed by us is simple, easy to use, but can be improved by adding the costs of the environmental impact (the costs required to reduce the emissions in the product chain "from cradle to grave" to a sustainable level, costs for sustainable energy sources etc.)…”

“…Since the implementation of a municipal solid waste management (MSWM) system is connected with considerable investment and operating costs (Moutavtchi et al 2008), it is important to analyze the economic aspects of waste management (Reich 2005), along with environmental issues. Moreover, the costs for implementing a waste management system are frequently taken into account equally or more than the impacts on the environment (Begum et al 2006;Khan, Samadder 2015;Turskis et al 2012).…”

Comparing Waste-to-Energy technologies by applying energy system analysis

“…Up to now a range of CBA's have been performed, particularly comparing incineration with landfilling (Dijkgraaf & Vollebergh 2004;Eshet et al 2005;Moutavtchi et al 2008). A large number of LCA's have also been performed on waste management options (Baky & Eriksson 2003;Cherubini et al 2008;Eriksson et al 2007;Finnveden et al 2007b;Finnveden 1999;Kirkeby et al 2006).…”

Economic and environmental optimization of waste treatment

“…Waste management solutions -including waste-to-energy (WtE) solutions -have so far primarily been analysed using life cycle assessments (LCA) with a focus on the environmental impact of the different waste management solutions, from the generation to the disposal of waste. Cost-benefit analysis (Dijkgraaf & Vollebergh 2004;Eshet et al 2005;Moutavtchi et al 2008;Tietze-Stockinger et al 2004), multi-criteria decision analysis (El Hanandeh & El-Zein 2009;Longden et al 2007;Morrissey & Browne 2004;Shmelev & Powell 2006) and various other tools, e.g., energy balance analysis (Dornburg & Faaij 2006;Luoranen & Horttanainen 2007;Murphy & McKeogh 2004), have also been applied, albeit to a lesser degree. Alternatives may also be analysed with the use of optimization models, but normally not taking the energy sector into account (Broitman et al 2012;Juul et al 2013;Kan et al 2010).…”