Pollution reduction analysis and modeling of a heat recovery boiler with using of different biomass syngases

In this paper, the performance of a triple pressure heat recovery boiler with gaseous fuels from biomass is discussed in terms of power output, efficiency and pollutions at oxygen, air, and steam gasification processes. The main parameters to optimization of heat recovery boiler by using genetic algorithm method are water and steam mass flow rates, high to low pressure pinch points temperatures, and temperature difference between the superheat steam and gas flows. It was found that the use of steam gasification in comparison with oxygen gasification increases the power output and efficiency of cycle 117 MW and 3.24%, respectively. However, the NOx production in oxygen gasification process is 790 gr/s less than steam gasification. Also different types of biomasses are compared in terms of power generation, efficiency and emissions production with each othe.In this paper, the performance of a triple pressure heat recovery boiler with gaseous fuels from biomass is discussed in terms of power output, efficiency and pollutions at oxygen, air, and steam gasification processes. The main parameters to optimization of heat recovery boiler by using genetic algorithm method are water and steam mass flow rates, high to low pressure pinch points temperatures, and temperature difference between the superheat steam and gas flows. It was found that the use of steam gasification in comparison with oxygen gasification increases the power output and efficiency of cycle 117 MW and 3.24%, respectively. However, the NOx production in oxygen gasification process is 790 gr/s less than steam gasification. Also different types of biomasses are compared in terms of power generation, efficiency and emissions production with each othe.