Waste-to-energy facility planning under uncertain circumstances

Šomplák, Radovan; Ferdan, Tomáš; Pavlas, M.; Popela, Pavel

doi:10.1016/j.applthermaleng.2013.04.003

Cited by 34 publications

(13 citation statements)

References 21 publications

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“…The NPV involves several terms as given by Equation ( 16). The profit is generated from selling a set of products (p), carbon credit, and tipping fee on the MSW treatment as given by Equation (17). The capital cost and operation cost are given by Equations (18) and (19).…”

Section: Objective Functionsmentioning

confidence: 99%

Sustainable optimization of waste management network over extended planning time horizon

2021

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This study proposes a multiperiod mixed integer linear programming model for the management of a single municipal solid waste (MSW) treatment plant with sustainability as the objective. Discrete and continuous variables define the capacity selections for diverse MSW technologies, and the operation of the MSW network, respectively. The economic target is considered to maximize the net present value. The environmental impact is the minimization of a normalized environmental objective function (NEOF).The social target is the maximization of jobs. An interesting feature about the research work is the requirement of biodrying technologies for MSW moisture content control.Due to the conflicted nature among the sustainability components, a multiobjective optimization (MO) is carried out to find the Pareto optimal solutions. The MO results show that the Pareto optimal solutions vary around profit range of $4.9-8.5 billion, NEOF impact range of 3.2-3.6 units, and social benefit range of 2700-4828 jobs.

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Section: Objective Functionsmentioning

confidence: 99%

Sustainable optimization of waste management network over extended planning time horizon

2021

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“…Sun et al (2012) and Srivastava and Nema (2012) utilized intervals (uniform distributions) to estimate the uncertain variables (e.g., waste generation rate, cost and revenue parameters), and investigated waste treatment facility location and capacity planning problems under single and multiple objective settings, respectively. Somplak et al (2013) considered a recycling facility capacity design problem using the known probability mass functions and solve the model by standard sample average approximation form. Xiong et al (2016) developed a probabilistic model for optimizing the economic feasibility of a decentralized recycling system with uncertain waste generations.…”

Section: Optimization Of Resource Recovery and Recycling Systemsmentioning

confidence: 99%

Robustness of Resource Recovery Systems under Feedstock Uncertainty

Wang

2019

Production and Operations Management

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Recovery of resources from waste streams present important opportunities in mitigating environmental and energy challenges in many countries. In this paper, we develop an optimization‐based approach to study the robustness of resource recovery systems in achieving economic feasibility under feedstock uncertainty. Two key characteristics of the feedstock that influence recovery performance are its volume and composition. We propose models of feedstock robustness functions to perform robustness analysis with respect to these two characteristics, and also propose a composite robustness index as the optimization criterion for the problem of technology and capacity planning of recovery systems. We show that the proposed models have computationally attractive reformulations for the robustness analysis and optimization problems. In particular, the robustness analysis model solves either a small number of linear programs in several special cases, or a small number of linear mixed integer programs in general. Correspondingly, the design optimization problem can be solved either via the solution of a small number of linear mixed integer programs, or via a cutting plane approach. Finally, we demonstrate, through some numerical studies, the insights and values of using the proposed models in evaluation and optimization of organic waste‐to‐energy recovery systems.

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“…Recently built WtE plants replaces an estimated 0.4 tons of coal for electricity generation [32]. Replacement of coal and other fossil fuels, with regionally produced municipal waste without a doubt will increase Polish energy safety.…”

Section: Key Challenges and Opportunitiesmentioning

confidence: 99%

Municipal Waste-to-Energy plants in Poland – current projects

2016

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Abstract. In 2016, six new municipal waste combustion plants will be operating in Poland. These projects, located in: Białystok, Bydgoszcz, Konin, Kraków, Poznań and Szczecin, will influence waste management in Poland as well as change energy security of the country. So far in Poland only one Waste-to-Energy (WtE) plant, i.e. in the capital city of Warsaw, has been operating. Unfortunately, this is not enough, taking into account Polish economic development in the last years. Polish accession to the European Union (EU) significantly influenced the development of the industry which resulted in increased production of waste while the management system was not prepared to handle it in the proper way so there was a big amount of waste. The main way to deal with waste in Poland was, and still is, landfilling which can be in many ways dangerous for the environment. The EU law have put pressure on Polish Waste Management Systems and results are visible in currently realized Waste-to-Energy projects. This work analysis of the aforementioned 6 projects from economic (project value, funding from the European Union) and technological (used technology, waste throughout, availability etc.) point of view together with their impact on the entire waste management system and energy security. What is more, history of similar facilities in Poland is presented, what shows how many projects were prepared, how many fell through and time frame of finally realised projects (start of construction and the planned completion). Conclusions show why in the current situation development of Polish WtE infrastructure is right, i.e. operation of aforementioned plants that will ensure benefits associated with energy production, reduction of landfilling and informing public opinion regarding modern waste management models. Additionally, the article draws attention on the high responsibility that will be put on WtE plants operators and that experience gained during WtE implementation can be used to improve even further for future Polish Waste Management Systems.

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Waste-to-energy facility planning under uncertain circumstances

Cited by 34 publications

References 21 publications

Sustainable optimization of waste management network over extended planning time horizon

Sustainable optimization of waste management network over extended planning time horizon

Robustness of Resource Recovery Systems under Feedstock Uncertainty

Municipal Waste-to-Energy plants in Poland – current projects

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