Location modeling for municipal solid waste facilities

2015 ◽  
Vol 62 ◽  
pp. 305-315 ◽  
Author(s):  
H.A. Eiselt ◽  
Vladimir Marianov
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Location Modeling ◽  
Solid Waste Facilities

scholarly journals An investigation of wood pallets landfilled and recovered at US municipal solid waste facilities

BioResources ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. 1496-1522
Author(s):  
Zachary Shiner ◽  
Laszlo Horvath ◽  
Philip Araman ◽  
Brad Gething
Keyword(s):  
United States ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
The United States ◽  
Virginia Tech ◽  
Waste Stream ◽  
Solid Waste Facilities

The purpose of this research was to investigate the total number of pallets that end up in landfills in the United States as well as to gain a better understanding of the overall waste stream. This research was conducted by mailing all of the licensed Municipal Solid Waste (MSW) facilities in the continental United States a questionnaire that included the option to complete the survey online. The questionnaire that was sent to the landfills was built upon previous surveys conducted by researchers at Virginia Tech in both 1995 and 1998. The results indicated that an estimated 249 million tons of MSW was received at landfills nationwide. This was an increase from the 239 million tons of MSW in 1998. Only 13.1 million pallets were landfilled in 2016, which was over a 90% decrease from the 138 million pallets landfilled in 1998. At the same time, approximately 15.9 million pallets were recovered, repurposed, or reused at the surveyed MSW facilities, which was a decrease from the 22 million pallets recovered in 1998. The results of this research indicate that fewer pallets are making their way to landfills, and a greater proportion of pallets reaching MSW facilities are being recovered.

scholarly journals Development of a superstructure optimization framework for the design of municipal solid waste facilities

2020 ◽  
Author(s):  
Channarong Puchongkawarin ◽  
Supatpong Mattaraj
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Environmental Sustainability ◽  
Optimal Solution ◽  
Mixed Integer ◽  
Processing Technologies ◽  
Optimization Framework ◽  
Negative Impacts ◽  
Energy Balances ◽  
Solid Waste Facilities

Abstract The main objective of this study is to develop a decision-making tool for the design of the optimal municipal solid waste (MSW) facilities based on superstructure optimization. Currently, the disposal of MSW is a major problem due to the lack of awareness of the negative impacts resulting from dumping MSW into the environment. This poses a challenge for the authorities. MSW valorization such as anaerobic digestion (AD), pyrolysis, gasification etc has been increasingly focused on as an approach when handling MSW to enhance both economic and environmental sustainability. However, with an increasing array of processing technologies, the design of MSW facilities involving the integration of these technologies is becoming tedious and unmanageable. To deal with this problem, superstructure optimization is proposed. It is an effective tool for the design of several chemical processes because it is able to consider all potential process alternatives including the optimal solution using mathematical models based on mass and energy balances. Uncertainty is incorporated into the optimization framework to enhance the robustness of the solution. The proposed methodology was applied in the design process of the MSW facility in Ubon Rathathani province, Thailand, with the objective function of maximizing the profit. The optimization problem was developed as Mixed Integer Linear Programming (MILP) and it was solved using an optimization platform, GAMS, with CPLEX as the solver related to obtaining the optimal solution. The results show there to be as positive profit that is economically viable compared to the use of landfill technology.

The concentration of BTEX compounds and health risk assessment in municipal solid waste facilities and urban areas

2020 ◽  
Vol 191 ◽  
pp. 110068
Author(s):  
Fatemeh Yousefian ◽  
Mohammad Sadegh Hassanvand ◽  
Ramin Nabizadeh Nodehi ◽  
Heresh Amini ◽  
Noushin Rastkari ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Health Risk Assessment ◽  
Urban Areas ◽  
Solid Waste Facilities ◽  
Btex Compounds

Important issues related to air pollution at municipal solid waste facilities

1988 ◽  
Vol 7 (2) ◽  
pp. 123-130 ◽  
Author(s):  
G. M. Savage ◽  
D. L. Bordson ◽  
L. F. Diaz
Keyword(s):  
Air Pollution ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Solid Waste Facilities

scholarly journals Development of a Superstructure Optimization Framework for the Design of Municipal Solid Waste Facilities

2020 ◽  
Author(s):  
Channarong Puchongkawarin
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Environmental Sustainability ◽  
Optimal Solution ◽  
Mixed Integer ◽  
Processing Technologies ◽  
Optimization Framework ◽  
Negative Impacts ◽  
Energy Balances ◽  
Solid Waste Facilities

Abstract The main objective of this study is to develop a decision-making tool for the design of the optimal municipal solid waste (MSW) facilities based on superstructure optimization. Currently, the disposal of MSW is a major problem due to the lack of awareness of the negative impacts resulting from dumping MSW into the environment. This poses a challenge for the authorities. MSW valorization such as anaerobic digestion (AD), pyrolysis, gasification etc has been increasingly focused on as an approach when handling MSW to enhance both economic and environmental sustainability. However, with an increasing array of processing technologies, the design of MSW facilities involving the integration of these technologies is becoming tedious and unmanageable. To deal with this problem, superstructure optimization is proposed. It is an effective tool for the design of several chemical processes because it is able to consider all potential process alternatives including the optimal solution using mathematical models based on mass and energy balances. Uncertainty is incorporated into the optimization framework to enhance the robustness of the solution. The proposed methodology was applied in the design process of the MSW facility in Ubon Rathathani province, Thailand, with the objective function of maximizing the profit. The optimization problem was developed as Mixed Integer Linear Programming (MILP) and it was solved using an optimization platform, GAMS, with CPLEX as the solver related to obtaining the optimal solution. The results show there to be as positive profit that is economically viable compared to the use of landfill technology.

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