Sustainable waste management with mechanical biological treatment and energy utilization

Abstract

Professional paperA successful example of sustainable waste management applicable to towns or regions with more than two hundred thousand inhabitants is discussed. Modern landfill with composting facility, mechanical biological treatment and energy utilization of waste in the town of Celje, Slovenia, covering the needs of 24 surrounding municipalities, is described in details. The advantages, but also some difficulties that were indicated during the operation of the system are shown. Applied processing technology significantly reduces waste, extracts secondary raw materials and uses waste as an energy source, so achieving a sustainable system for a number of years. According to this successful example, our aim is to encourage similar projects in Croatia as well. Keywords: composting; energy utilization; mechanical biological treatment; waste management Održivo gospodarenje otpadom s mehaničko biološkom obradom i energetskim iskorištavanjemStručni članak U radu se razmatra uspješan primjer održivog gospodarenja otpadom primjenjiv za gradove odnosno regije s dvjestotinjak i više tisuća stanovnika. Detaljno je opisano suvremeno odlagalište s kompostanom, mehaničko biološkom obradom i energetskim iskorištavanjem otpada u gradu Celju koje pokriva i potrebe 24 okolne općine. Ukazano je na prednosti, ali i neke poteškoće koje su se pokazale tijekom rada sustava. Ovo odlagalište primijenjenom tehnologijom obrade znatno smanjuje količinu otpada, izdvaja sekundarne sirovine te koristi otpad kao energent, čime se postiže održivi sustav za dulji niz godina. Želja nam je da se na temelju ovog uspješnog primjera potaknu slični projekti gospodarenja otpadom i u Hrvatskoj.

Utilization of Computer Simulation for Waste Separation Design as a Logistics System

“…According to the authors Ahluwalia and Nema [13] is the configuration of computer waste management facilities is important for achieving of a defined target. Simulation is used in stochastic and dynamic contexts in order to identify patterns and tendencies, which is often more essential than finding an optimal solution [14][15][16][17][18]. According to authors like Delgado Sobrino et al [19] and Kliment and Trebuňa [20] simulation is able to overcome most of the shortcomings of analytical methods, but it is very often more demanding in terms of time (model design and testing, planning and realization of experiments, etc.…”