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 ◽  
General Algebraic Modeling System ◽  
Negative Impacts ◽  
Energy Balances

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, pyrolysis, and gasification 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 and it was solved using an optimization platform, General Algebraic Modeling System, 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.

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 ◽  
General Algebraic Modeling System ◽  
Negative Impacts ◽  
Energy Balances

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, 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 and it was solved using an optimization platform, General Algebraic Modeling System, 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.

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

2020 ◽  
Vol 30 (1) ◽  
Author(s):  
Channarong Puchongkawarin ◽  
Supatpong Mattaraj
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Environmental Sustainability ◽  
Optimal Solution ◽  
Mixed Integer ◽  
Processing Technologies ◽  
Optimization Framework ◽  
General Algebraic Modeling System ◽  
Negative Impacts ◽  
Energy Balances

AbstractThe 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, pyrolysis, and gasification 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 and it was solved using an optimization platform, General Algebraic Modeling System, 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.

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.

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.

scholarly journals Development of an Ex-Ante Sustainability Assessment Methodology for Municipal Solid Waste Management Innovations

2018 ◽  
Vol 10 (9) ◽  
pp. 3208 ◽  
Author(s):  
Jing Wang ◽  
Stephanie Maier ◽  
Rafael Horn ◽  
Robert Holländer ◽  
Ralf Aschemann
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Sustainability Assessment ◽  
Solid Waste Management ◽  
Optimal Solution ◽  
Municipal Solid Waste Management ◽  
Economic Dimension ◽  
Ex Post ◽  
Negative Impacts

Various municipal solid waste management (MSWM) innovations have emerged in developing countries in face of the challenges posed by increasing waste generation and poor MSWM practice. We present a methodology to assess the potential sustainability impact of MSWM innovations in a holistic manner. The Life Cycle Sustainability Analysis (LCSA) framework and the United Nations (UN) sustainable development goals (SDGs) facilitated the methodology development. The result of applying the methodology to the case of waste bank (WB) in Bandung City shows that WB potentially generates the greatest sustainability impact in the resource recovery phase and the smallest impact in the collection and final disposal phase. All negative impacts could arise in the economic dimension. Surprisingly, WB as a national strategy to achieve 3Rs would not effectively solve Bandung City’s landfill problem. Almost all SDGs would benefit from the WB program under the assumed conditions. This methodology will facilitate the decision-making in MSWM by (1) comparing available innovations to find the optimal solution, (2) identifying the hot spots and taking measures to combat the negative impacts, (3) providing the basis for monitoring the implementation process and the ex-post performance assessment.

scholarly journals KINERJA PENGELOLAAN LIMBAH HOTEL PESERTA PROPER DAN NON PROPER DI KABUPATEN BADUNG, PROVINSI BALI

2016 ◽  
Vol 10 (1) ◽  
pp. 33 ◽  
Author(s):  
Putri Nilakandi Perdanawati Pitoyo ◽  
I Wayan Arthana ◽  
I Made Sudarma
Keyword(s):  
Waste Water ◽  
Solid Waste ◽  
Hazardous Waste ◽  
Environmental Sustainability ◽  
Quality Standard ◽  
Wastewater Management ◽  
Hotel Performance ◽  
Qualitative Descriptive ◽  
Negative Impacts ◽  
Parameter Values

Bali tourism development can lead to positive and negative impacts that threatening environmental sustainability. This research evaluates the hotel performance of the waste management that includes management of waste water, emission, hazardous, and solid waste by hotel that participate at PROPER and non PROPER. Research using qualitative descriptive method. Not all of non PROPER doing test on waste water quality, chimney emissions quality, an inventory of hazardous waste and solid waste sorting. Wastewater discharge of PROPER hotels ranged from 290.9 to 571.8 m3/day and non PROPER ranged from 8.4 to 98.1 m3/day with NH3 parameter values that exceed the quality standards. The quality of chimney emissions were still below the quality standard. The volume of the hazardous waste of PROPER hotels ranged from 66.1 to 181.9 kg/month and non PROPER ranged from 5.003 to 103.42 kg/month. Hazardous waste from the PROPER hotel which has been stored in the TPS hazardous waste. The volume of the solid waste of PROPER hotel ranged from 342.34 to 684.54 kg/day and non PROPER ranged from 4.83 to 181.51 kg/day. The PROPER and non PROPER hotel not sort the solid waste. The hotel performance in term of wastewater management, emission, hazardous, and solid waste is better at the PROPER hotel compared to non PROPER participants.

Estimating Greenhouse Gas (GHG) Emissions from Municipal Solid Waste (MSW) in Oman Using Different Frameworks

2021 ◽  
Vol 47 (2) ◽  
pp. 332-348
Author(s):  
Tariq Umar
Keyword(s):  
Climate Change ◽  
Municipal Solid Waste ◽  
Greenhouse Gas ◽  
Solid Waste ◽  
Environmental Sustainability ◽  
Organic Waste ◽  
Ghg Emissions ◽  
Gulf Cooperation Council ◽  
Council Member ◽  
Tackle Climate Change

Reduction in emissions is the key to tackle climate change issues and achieve environmental sustainability. The Gulf Cooperation Council member countries however, not only generate the highest quantity of MSW/capita when compared globally but also in most of these countries such waste is just dumped at different landfill stations. In Oman, the total quantity of MSW stood at 2.0 million tonnes/year. The emission from this waste is estimated at 2,989,467 tonnes/year (CO2 Equivalent). This article attempts to develop frameworks that considered landfilling, composting, and recycling of MSW and compared the emissions of these frameworks. The framework (F2) which proposes the landfilling and composting process for the organic waste which normally goes to landfills results in an increase of emissions by 7% as compared to landfill practice. Similarly, the samples of MSW collected in Oman show a good amount of recycling waste. The framework (F3) which considers the landfill, composting, and recycling reduced the total Greenhouse Gas emissions from 2,989,467 tonnes/year to 2,959,735 tonnes/year (CO2 Equivalent); representing a total reduction of 1% in emissions. Although composting increases the emissions, however, considering composting and recycling will not only reduce the burden on landfills but will promote agricultural and industrial activates.

scholarly journals Network Design for Municipal Solid Waste Collection: A Case Study of the Nanjing Jiangbei New Area

2018 ◽  
Vol 15 (12) ◽  
pp. 2812 ◽  
Author(s):  
Jing Liang ◽  
Ming Liu
Keyword(s):  
Municipal Solid Waste ◽  
Network Design ◽  
Solid Waste ◽  
Relative Size ◽  
Service Level ◽  
Optimal Number ◽  
Mixed Integer ◽  
Proposed Model ◽  
The Impact ◽  
Operation Cost

Garbage collection is an important part of municipal engineering. An effective service network design can help to reduce the municipal operation cost and improve its service level. In this paper, we propose an optimization model for the network design of municipal solid waste (MSW) collection in the Nanjing Jiangbei new area. The problem was formulated as a mixed integer nonlinear programming (MINLP) model with an emphasis on minimizing the annual operation cost. The model simultaneously decides on the optimal number of refuse transfer stations (RTSs), determines the relative size and location for each RTS, allocates each community to a specific RTS, and finally identifies the annual operation cost and service level for the optimal scenario as well as other scenarios. A custom solution procedure which hybrids an enumeration rule and a genetic algorithm was designed to solve the proposed model. A sensitivity analysis was also conducted to illustrate the impact of changes in parameters on the optimality of the proposed model. Test results revealed that our model could provide tangible policy recommendations for managing the MSW collection.

Municipal solid waste management considering NGO’s role in consumer environmental awareness and government regulations for air pollution

2020 ◽  
Vol 15 (3) ◽  
pp. 783-807
Author(s):  
Masoud Rabbani ◽  
Parisa Hashemi ◽  
Pegah Bineshpour ◽  
Hamed Farrokhi-Asl
Keyword(s):  
Air Pollution ◽  
Sensitivity Analysis ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Environmental Awareness ◽  
Mixed Integer ◽  
Good Effect ◽  
Municipal Solid Waste Management ◽  
Content Type

Purpose The purpose of this study is twofold: first, to examine the role of non-governmental organizations (NGOs) in increasing customer environmental awareness (CEA) to decrease the municipal solid waste (MSW), and secondly, to examine the effect of government policies in the amount of air pollution caused by transfer stations (TSs). Design/methodology/approach This study proposes a mixed-integer nonlinear programming model. For solving this multi-objective problem, the authors use epsilon constraint method, which presented eight Pareto solutions. For selecting the best solution, the analytic hierarchy process approach is used. The presented model is applied on a real case study, and the results are discussed and sensitivity analysis is implemented on the parameters of the concern. Findings This study confirms the assumption that by allocating budget to NGOs for increasing CEA, the produced waste will be decreased. Research limitations/implications In the present study, the authors only investigate air pollution caused by TS. Future studies can investigate other types of pollution. Furthermore, uncertainty in the amount of produced waste can be variable making the problem closer to the real environment. In this case, robust optimization may have better results. Practical implications Based on the results of sensitivity analysis, some implications obtain that can highlight by managers in the decision-making process. The operational costs of TS have a critical aspect in founding TS, so using new technology and high-tech machines for operational processes of TSs, can result in decreasing the running cost of TSs. Also, the determination of TS capacity is a remarkable issue in optimization, which should be paid special attention to this for the design of TSs in the planning phase of the system. Moreover, collaborating with NGOs has a good effect on increasing CEA that results in a decrease of MSW. Originality/value The role of NGOs and government simultaneity has been considered in a green supply chain. Moreover, the authors considered TS between source and disposal that reduce the time of transferring waste. Therefore, this study can be beneficial for the MSW management system, which faces the problems in the lack of capacity and transportation problems and environmental issues by proposing solutions in three studies including economic, environmental and social aspects.

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