Design and optimization of poly-generation system for municipal solid waste disposal

Existing disposal methods of MSW are costly and have led to other environmental pollution. A poly-generation system (PGS) integrating the pyrolysis, incineration and anaerobic digestion processes is proposed to lower the treatment cost of MSW by the internal supplies of auxiliary fuel oil, electricity, steam, and hydrogen. A mixed integer nonlinear programming is developed to obtain the optimal feed ratio and achieve the balance between supply and demand of the PGS by minimizing the total annual cost. Electricity balance scenario and gasoline balance scenario are proposed to illustrate the PGS model. The total annual cost of the electricity balance sce-nario is 95,122.23 CNY/h and the one of the gasoline balance scenario is 15,699.66 CNY/h. Electricity balance scenario shows a larger economic advantage with about 79,710.97 CNY/h due to the relatively lower fuel yield of pyrolysis. Operating cost of the PGS can be reduced by the comparison of subsidy proportion between PGS and triditional incineration treatment. Considering the internal supplies of auxiliary fuel and electricity, PGS is capable to reduce the MSW treatment cost and improve the MSW resource utilization.

Automated summary

This study proposes a poly-generation system (PGS) that integrates the pyrolysis, incineration, and anaerobic digestion processes to reduce the treatment cost of municipal solid waste (MSW) by utilizing internal supplies of auxiliary fuel and electricity. A mixed integer nonlinear programming approach is used to optimize the feed ratio and achieve supply-demand balance in the PGS. The results show that PGS can effectively reduce MSW treatment cost and improve resource utilization.