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.

Multi-objective optimization of a recuperative gas turbine cycle using non-dominated sorting genetic algorithm

2011 ◽  
Vol 225 (8) ◽  
pp. 1041-1051 ◽  
Author(s):  
H Sayyaadi ◽  
H R Aminian
Keyword(s):  
Genetic Algorithm ◽  
Gas Turbine ◽  
Heat Exchangers ◽  
Mixed Integer ◽  
Design Stage ◽  
Tube Length ◽  
Pareto Optimal ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Gas Turbine Cycle

A regenerative gas turbine cycle with two particular tubular recuperative heat exchangers in parallel is considered for multi-objective optimization. It is assumed that tubular recuperative heat exchangers and its corresponding gas cycle are in design stage simultaneously. Three objective functions including the purchased equipment cost of recuperators, the unit cost rate of the generated power, and the exergetic efficiency of the gas cycle are considered simultaneously. Geometric specifications of the recuperator including tube length, tube outside/inside diameters, tube pitch, inside shell diameter, outer and inner tube limits of the tube bundle and the total number of disc and doughnut baffles, and main operating parameters of the gas cycle including the compressor pressure ratio, exhaust temperature of the combustion chamber and the air mass flowrate are considered as decision variables. Combination of these objectives anddecision variables with suitable engineering and physical constraints (including NO x and CO emission limitations) comprises a set of mixed integer non-linear problems. Optimization programming in MATLAB is performed using one of the most powerful and robust multi-objective optimization algorithms, namely non-dominated sorting genetic algorithm. This approach is applied to find a set of Pareto optimal solutions. Pareto optimal frontier is obtained, and a final optimal solution is selected in a decision-making process.

scholarly journals Predicting the Quantity of Municipal Solid Waste Required for Power Generation Using Power Plant Design Parameters

2019 ◽  
Vol 1378 ◽  
pp. 032090
Author(s):  
R. A Ibikunle ◽  
I.F Titiladunayo ◽  
D. C Uguru-Okorie ◽  
C.O Osueke ◽  
A Olayanju
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Design Parameters ◽  
Plant Design

Experimental Study on the Co-Firing Power Generation of Municipal Solid Waste and Biomass

2013 ◽  
Vol 291-294 ◽  
pp. 280-283 ◽  
Author(s):  
Hai Wei Xie ◽  
Yan Zhang
Keyword(s):  
Power Generation ◽  
Experimental Study ◽  
Fly Ash ◽  
Power Plant ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
North China ◽  
Biomass Energy ◽  
Msw Incineration ◽  
Generator Unit

Much attention has been paid to municipal solid waste (MSW) incineration power generation and biomass energy. The co-firing power generation tests of MSW and biomass were performed in a MSW incineration power plant in North China. Experimental results showed that the running efficiency of generator unit had achieved the optimum state when the blended ratio was 14% (w%); the concentration of fly ash decreased greatly, and the concentration of SO2 and NOX increased slightly. These contents can be referenced in the running of MSW incineration power plant and the using of biomass energy later.

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