Multi-objective optimization of a municipal solid waste gasifier

2020 ◽  
Author(s):  
Ali Bahari ◽  
Kazem Atashkari ◽  
Javad Mahmoudimehr
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Multi Objective Optimization ◽  
Multi Objective

Mixed-integer non-linear programming (MINLP) multi-period multi-objective optimization of advanced power plant through gasification of municipal solid waste (MSW)

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ahmad Syauqi ◽  
Widodo Wahyu Purwanto
Keyword(s):  
Power Generation ◽  
Linear Programming ◽  
Power Plant ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Gas Turbine ◽  
Mixed Integer ◽  
Multi Objective Optimization ◽  
Non Linear Programming ◽  
Multi Objective

AbstractMulti-objective optimization is one of the most effective tools for the decision support system. This study aims to optimize the gasification of municipal solid waste (MSW) for advanced power plant. MSW gasifier is simulated using Aspen Plus v11 to produce syngas, to be fed into power generation technologies. Four power generation technologies are selected, solid oxide fuel cell, gas turbine, gas engine, and steam turbine. Mixed-integer non-linear programming (MINLP) multi-objective optimization is developed to provide an optimal solution for minimum levelized cost of electricity (LCOE) and minimum CO2eq emissions. The optimization is conducted with a ε-constraint method using GAMS through time periods of 2020–2050. Decision variables include gasifier temperature, steam to carbon ratio, and power generation technologies. The optimization result demonstrates that the lower steam to carbon ratio gives lower LCOE and higher CO2eq emissions, and temperature variation gives no significant impact on LCOE and as it increases, CO2eq emission is reduced. It demonstrates that a gas turbine is the best option for generating electricity from 2020 to 2040 and beyond 2040 SOFC is the best option.

scholarly journals Influencing factors of Solid Waste Management global cost and efficiency: a multi-objective optimization focusing on the collection system

2020 ◽  
Vol 197 ◽  
pp. 12001
Author(s):  
Sofia Russo ◽  
Vittorio Verda
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Waste Treatment ◽  
Solid Waste Management ◽  
Collection Efficiency ◽  
Treatment Plant ◽  
Multi Objective Optimization ◽  
Collection System ◽  
Multi Objective ◽  
Global Cost

Development of an Integrated Solid Waste Management (ISWM) system is a continuous challenge for local communities. These systems should be properly designed, paying particular attention to the optimal connection of their subsystems. Among them, the Solid Waste (SW) collection system has a primary influence. The design variables (e.g. unit collection basin and weekly removal) can be optimized according to the variation of external parameters (e.g. penetration of selective collection, population density). The objective is the minimization of specific collection cost, maintaining the maximum collection efficiency. Once the collection system is optimized, its influence on the entire SW treatment chain is evaluated. To this end, a multi-objective optimization is implemented taking into account the global cost and exergy efficiency of waste treatment. The analysed system is composed by a paper recycling plant for cardboard production and a Mechanical Biological Treatment plant for the Residual Unsorted Waste treatment, with production of Refused Derived Fuel.

An inexact multi-objective dynamic model and its application in China for the management of municipal solid waste

2008 ◽  
Vol 28 (12) ◽  
pp. 2532-2541 ◽  
Author(s):  
J. Su ◽  
B.D. Xi ◽  
H.L. Liu ◽  
Y.H. Jiang ◽  
M.A. Warith
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Dynamic Model ◽  
Multi Objective

Multi-objective optimization of solid waste flows: Environmentally sustainable strategies for municipalities

2008 ◽  
Vol 28 (11) ◽  
pp. 2202-2212 ◽  
Author(s):  
Riccardo Minciardi ◽  
Massimo Paolucci ◽  
Michela Robba ◽  
Roberto Sacile
Keyword(s):  
Solid Waste ◽  
Multi Objective Optimization ◽  
Environmentally Sustainable ◽  
Multi Objective

A multi-objective model for sustainable recycling of municipal solid waste

2017 ◽  
Vol 35 (4) ◽  
pp. 387-399 ◽  
Author(s):  
Ali Mirdar Harijani ◽  
Saeed Mansour ◽  
Behrooz Karimi
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Waste Treatment ◽  
Solid Waste Management ◽  
Programming Model ◽  
Mixed Integer ◽  
Municipal Solid Waste Management ◽  
Multi Objective ◽  
Treatment Facilities

The efficient management of municipal solid waste is a major problem for large and populated cities. In many countries, the majority of municipal solid waste is landfilled or dumped owing to an inefficient waste management system. Therefore, an optimal and sustainable waste management strategy is needed. This study introduces a recycling and disposal network for sustainable utilisation of municipal solid waste. In order to optimise the network, we develop a multi-objective mixed integer linear programming model in which the economic, environmental and social dimensions of sustainability are concurrently balanced. The model is able to: select the best combination of waste treatment facilities; specify the type, location and capacity of waste treatment facilities; determine the allocation of waste to facilities; consider the transportation of waste and distribution of processed products; maximise the profit of the system; minimise the environmental footprint; maximise the social impacts of the system; and eventually generate an optimal and sustainable configuration for municipal solid waste management. The proposed methodology could be applied to any region around the world. Here, the city of Tehran, Iran, is presented as a real case study to show the applicability of the methodology.

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