چكيده به لاتين
With population growth and urbanization, there has been an ever-increasing demand for energy resources and urban life. On the other hand, the growth of the use of consumables generates solid municipal waste. Municipal solid waste, which is a part of the Biomass, is a potential source of energy for generating electricity.
One of the primary goals of exploiting a waste-to-energy power plant is to maximize efficiency while reducing costs. However, this could lead to a violation of some operational limitations and loading intensification on the flue gas cleaner system, which will also increase costs for the production and maintenance of the product. Environmental factors are environmen parameters that indicate the environmental damage resulting from the function of the system. On the other hand, exergy is an important criterion for measuring the degree of imbalance between matter and its surrounding environment. Therefore, due to the direct relationship between the production exergy and its efficiency, optimization of the three targets of the power plant in exergy, economic and environmental aspects is considered. The results of the exergy analysis show a 57 % share of exergy destruction in the incinerator unit.
Optimization algorithms in MATLAB software are the best tools for achieving maximum output power while minimizing environmental costs and effects due to changes in variable values, one of the best and most innovative optimization algorithms is particle swarm algorithm. The objective is to analyze the exergy, the economic and environmental of a waste-to-energy power plant, with the potential of converting the chemical energy of the waste to heat and ultimately of electricity. Following is an optimization of the power plant to reduce the cost of production and environmental exergy units and increase output power. Finally, after optimizing the system, the best point for optimal performance of the plant is introduced with the help of the TOPSIS process.
The results indicate that the Pareto optimal boundary changes exergy efficiencies in the 10 % variation range, while the total cost of the change is around 100 $ per hour. The target point has an extraterrestrial efficiency of 931.38% and a total cost of 586.46 $/h. Environmental impacts are reduced by varying the input rate to the furnace from 19.07 kg/s to 18.61 kg/s.
