Economic and environmental optimization of waste treatment

Münster, Marie; Ravn, Hans F.; Hedegaard, Karsten; Juul, Nina; Söderman, Maria Ljunggren

doi:10.1016/j.wasman.2014.12.005

Cited by 55 publications

(22 citation statements)

References 27 publications

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“…Their arguments prove by mathematical modelling reviewing the system of waste treatment. Many authors in different parts of the world face similar challenges to the effective treatment of waste with the help of modelling and simulation [30][31][32][33][34][35][36]. Data resulting from modelling and simulation is necessary to analyse and verify their veracity and relevance.…”

Section: Logistics Simulation and Statistics As Good Performance Ofmentioning

confidence: 99%

Environmental Assessment of Waste Total Recycling Based on Principles of Logistics and Computer Simulation Design

Straka

Khouri

Paška

et al. 2019

Pol. J. Environ. Stud.

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This article deals with total waste separation in the frame of a concrete region in Slovakia. The goal of the contribution is to use logistics, modelling, and simulation for the needs of total waste separation and liquidation to the way raw material and usable sources for new use in practice. Results of the simulation show that by total separation and waste recycling in the frame of the concrete analysed region it is possible to produce during the whole year approximately 390,000 m 3 of biogas, and it is possible to obtain approximately €9.3 million per year, which can be used for developing complex recycling systems in the region.

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Section: Logistics Simulation and Statistics As Good Performance Ofmentioning

confidence: 99%

Environmental Assessment of Waste Total Recycling Based on Principles of Logistics and Computer Simulation Design

Straka

Khouri

Paška

et al. 2019

Pol. J. Environ. Stud.

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“…More recent research aims to expand the scope and consider two or three pillars of the triple bottom line. For instance Münster et al (2015) [4], Ahamed et al (2016) [5], and Martinez-Sanchez et al (2016) [6] consider economic and environmental ramifications of FWM. Along these lines, a framework to assess the sustainability performance of agri-food waste management, including by-product valorisation, that considers environmental, economic, and social indicators, is being developed as part of the AgroCycle project [7].…”

Section: Introductionmentioning

confidence: 99%

Identification and Analysis of Attributes for Industrial Food Waste Management Modelling

2019

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Due to the large quantities of food waste generated by manufacturers and the associated environmental impact of these waste streams, improving food waste management is vital for achieving a more sustainable food system. Management of food waste can be complex and the most appropriate methods may not always be selected. There are a range of aspects to consider in order to select the most sustainable option to manage food waste, such as the specific type of food waste generated, waste management options available, characteristics of food companies that generate food waste, features of the waste management processors that will manage it, and the sustainability implications of dealing with the food waste. To support food waste management decision making, this paper presents a modelling procedure to assist in identifying what type and range of information is needed to model food waste management systems, allowing the user to follow a systematic methodology to make more informed decisions. This procedure is based on the identification and analysis of qualitative and quantitative attributes necessary to model food waste management and an assessment of their relationships. Specifically, it describes a process to ensure that all relevant attributes are considered during the decision-making process. A case study with a large UK food and drink manufacturer is used to demonstrate the applicability and usefulness of this procedure. In conclusion, the systematic procedure presented in this paper provides a methodology to identify opportunities to improve the sustainability of industrial food waste management. The data obtained can be used to further undertake a life-cycle assessment study and/or to apply existing socio-economic methodologies to thoroughly assess impacts and benefits of food waste management.

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“…For example, the Solid Waste Optimisation Life-cycle Framework (SWOLF), developed at North Carolina State University, is a sophisticated dynamic optimisation tool for the integrated analysis of SWM systems based on multi-stage linear programming (Levis et al, 2013) that enables the development of integrated SWM strategies which consider existing as well as (possible) future infrastructure. OptiWaste is a LCA-based SWM optimisation model based on linear programming that enables optimisation for multiple criteria using weighting factors (Münster et al, 2015). Two models based on linear programming (single and multi-objective) and the integrated use of LCA data were developed and applied by Tascione et al (2016) to optimise the environmental performance of waste management systems in the Abruzzo region, Italy.…”

Section: Introductionmentioning

confidence: 99%

SWIMS: A dynamic life cycle-based optimisation and decision support tool for solid waste management

Roberts

Turner

Coello

et al. 2018

Journal of Cleaner Production

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Additional capacity required Optimum process selected, staged for build User defined build options and current/ future constraints, filter possible waste treatment processes that can be built GA All waste arisings and composition per area Separated into waste streams Treated fractions All waste from stream treated Process discarded/ residual waste fractions Optimum bred waste treatment path order Poor performing path orders removed Best performing path order selected. Outputs recorded. Future scenario data (population, GDP, facilities) used in GA to determine if there is additional capacity required Untreated Genetic Algorithm (GA) selects a sub sample of possible waste treatment path orders (Step 1) Depth first Search Algorithm

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Economic and environmental optimization of waste treatment

Cited by 55 publications

References 27 publications

Environmental Assessment of Waste Total Recycling Based on Principles of Logistics and Computer Simulation Design

Environmental Assessment of Waste Total Recycling Based on Principles of Logistics and Computer Simulation Design

Identification and Analysis of Attributes for Industrial Food Waste Management Modelling

SWIMS: A dynamic life cycle-based optimisation and decision support tool for solid waste management

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