A bi-objective two-stage robust location model for waste-to-energy facilities under uncertainty

Hu, Chenlian; Liu, Xiao; Lu, Jie

doi:10.1016/j.dss.2017.05.009

Cited by 41 publications

(13 citation statements)

References 22 publications

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“…Various challenging optimization models have been developed to support strategic planning in waste management (Van Engeland et al 2020 ). Some past studies have dealt with the optimization of waste flows within a network and seeking the best location for WtE plants (Hu et al 2017 ). Conceptual planning approaches usually deal with determining the location of facilities (Boccia et al 2018 ) and their capacities (Boonmee et al 2018 ), as well as the selection of collection routes (Farrokhi-Asl et al 2020 ), including transshipment stations (Yadav et al 2018 ) for efficient transportation and ensuring the sustainability of the whole processing chain.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal location and operation of waste-to-energy plants when future waste composition is uncertain

et al. 2022

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In many countries, waste management is increasingly geared towards a circular economy, aiming for a sustainable society with less waste generation, fewer landfills, and a higher rate of recycling. Waste-to-Energy (WtE) plants, which convert waste into heat and energy, can contribute to the circular economy by utilizing types of waste that cannot be recycled. Due to the varying quality of sorting and socio-economic conditions in individual regions, the waste composition differs between regions and has an uncertain future development. Waste composition significantly affects the operation of WtE plants due to differences in energy potential. This paper supports strategic capacity planning for waste energy recovery by introducing a two-stage stochastic mixed-integer linear programming model that captures waste composition uncertainty through scenarios of possible future development. The results of the model provide insights into the economics of operation and identify important factors in the sustainability of the waste handling system. The model is demonstrated on an instance with six scenarios for waste management in the Czech Republic for the year 2030. The solution of the proposed model is to build 14 new WtE plants with a total capacity of 1970 kt in addition to the four existing plants with a capacity of 831 kt. The annual energy recovery capacity is expected to increase almost four times to satisfy EU directives that restrict waste landfilling.

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Section: Literature Reviewmentioning

confidence: 99%

Optimal location and operation of waste-to-energy plants when future waste composition is uncertain

et al. 2022

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“…Lee et al (2016) designed an MSWS for Hong Kong in which the location of incinerators, landfills, and replacement truck warehouses is considered. Hu et al (2017) developed a two-stage robust model for locating waste-to-energy facilities by considering private investors' profits and government subsidies. Mirdar Harijani et al (2017) introduced a sustainable disposal and recycling network design to maximize the total profit and social impact of the system and minimize the environmental footprint.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing a sustainable supply chain network for producing high-value products from waste glass

Zarrinpoor

2021

Waste Manag Res

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This paper aims to design a supply chain network for producing double glazed glass from the recycling of waste glass. All three pillars of sustainability are taken into consideration. The economic objective tries to maximize total profits. The environmental objective considers the energy consumption, the generated waste, the greenhouse gas emission, the water consumption, and the fuel consumption of vehicles. The social objective addresses created job opportunities, the worker safety, the regional development, the worker benefit, and training hours. To solve the model, a two-stage framework based on the group best-worst method and an interactive fuzzy programming approach is developed. The proposed model is validated through a real case study based on waste glass management in the city of Shiraz. It is revealed that when sustainable development goals are approached, a great degree of improvement will be attained in environmental and social aspects without a significant decrease in the economic sustainability. The results also demonstrate that the locations of glass recycling centres are different under economic, environmental, and social pillars, and the proposed model yields an optimal system configuration with a proper satisfaction degree of all objectives. Moreover, applying the proposed solution procedure enables system designers to obtain the most desirable trade-off between different aspects of sustainability.

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“…A complex approach to the whole system has to consider more than just one aspect discussed above. Hu et al (2017) examined a bi-objective model for the design of Waste-to-Energy (WtE) plants siting. The authors analyse economic and environmental aspects; total costs and emission production are minimized in the objective function.…”

Section:  Multi-criteria Approachesmentioning

confidence: 99%

Pricing and advertising strategies in conceptual waste management planning

Šomplák

Kůdela

Šmejkalová

et al. 2019

Journal of Cleaner Production

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The paper presents a new model for integration of circular economy strategies into the municipal solid waste management. The goals are to reduce the waste produced, recycle at the highest rate as possible (material recovery) and to use the resultant residual waste for energy recovery. Such a strategy utilizes both pricing and advertising principles in the mixed integer linear programming model while accounting two criterions-assessment of greenhouse gas (GHG) and cost minimization. The aim is to design the optimal waste management grid to suggest a sustainable economy with environmental concerns. The government, municipalities and/or authorized packaging company decide about the investments to the propagation of waste prevention and to advertising of waste recycling, while investors decide about new facility location and technological parameter. The availability of waste is projected in pricing method as well as in the location of the facility. The mathematical model will consider randomness in the form of waste production. The suggested non-linear functions of pricing and advertising are replaced by piecewise linear approximation to reduce computational complexity. The proposed multi-objective model is applied in a case study for the Czech Republic in the area of waste treatment infrastructure planning to support decision-making at the micro-regional level. The integration of circular economy principles, considering also the total amount of produced GHG, revealed the existing potential in waste prevention. On the other hand, the increase of recycling is limited, landfills are not supported and the energy recovery is preferred. However, the planning of the complex system relies on the decision-maker.

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A bi-objective two-stage robust location model for waste-to-energy facilities under uncertainty

Cited by 41 publications

References 22 publications

Optimal location and operation of waste-to-energy plants when future waste composition is uncertain

Optimal location and operation of waste-to-energy plants when future waste composition is uncertain

Designing a sustainable supply chain network for producing high-value products from waste glass

Pricing and advertising strategies in conceptual waste management planning

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