To reduce carbon intensity, an improved management method balancing the reduction in costs and greenhouse gas(GHG)emissions is required for Tianjin's waste management system. Firstly, six objective functions, name...To reduce carbon intensity, an improved management method balancing the reduction in costs and greenhouse gas(GHG)emissions is required for Tianjin's waste management system. Firstly, six objective functions, namely, cost minimization, GHG minimization, eco-efficiency minimization, cost maximization, GHG maximization and eco-efficiency maximization, are built and subjected to the same constraints with each objective function corresponding to one scenario. Secondly, GHG emissions and costs are derived from the waste flow of each scenario. Thirdly, the range of GHG emissions and costs of other potential scenarios are obtained and plotted through adjusting waste flow with infinitely possible step sizes according to the correlation among the above six scenarios. And the optimal scenario is determined based on this range. The results suggest the following conclusions. 1) The scenarios located on the border between scenario cost minimization and GHG minimization create an optimum curve, and scenario GHG minimization has the smallest eco-efficiency on the curve; 2) Simple pursuit of eco-efficiency minimization using fractional programming may be unreasonable; 3) Balancing GHG emissions from incineration and landfills benefits Tianjin's waste management system as it reduces GHG emissions and costs.展开更多
To predict and analyze the municipal solid waste(MSW)pyrolysis and gasification process in an updraft fixed bed more veritably and appropriately,numerical modeling based on Gibbs energy minimization was executed using...To predict and analyze the municipal solid waste(MSW)pyrolysis and gasification process in an updraft fixed bed more veritably and appropriately,numerical modeling based on Gibbs energy minimization was executed using the Aspen plus software.The RYield module was combined with the RGibbs module to describe the pyrolysis section,while the RGibbs module was used for the gasification section individually.The proposed model was used to forecast and analyze the target performance parameters including syngas composition,lower heating value(LHV)and carbon conversion rate under different conditions of the gasification temperatures,and ratios and types of gasifying agents.The results indicate that there is a good agreement between the experimental data and the simulated data obtained using this model.The predicted optimum gasification temperature is approximately 750°C,and the best ratio of water vapor as gasifying agent is around 0.4.The mixture of flue gas and water vapor has an economical and recycled prospect among four commonly used gasifying agents.展开更多
基金Project(51406133) supported by the National Natural Science Foundation of ChinaProject supported by the Scientific Research Foundation for the Returned Overseas,ChinaProject supported by Independent Innovation Fund of Tianjin University,China
文摘To reduce carbon intensity, an improved management method balancing the reduction in costs and greenhouse gas(GHG)emissions is required for Tianjin's waste management system. Firstly, six objective functions, namely, cost minimization, GHG minimization, eco-efficiency minimization, cost maximization, GHG maximization and eco-efficiency maximization, are built and subjected to the same constraints with each objective function corresponding to one scenario. Secondly, GHG emissions and costs are derived from the waste flow of each scenario. Thirdly, the range of GHG emissions and costs of other potential scenarios are obtained and plotted through adjusting waste flow with infinitely possible step sizes according to the correlation among the above six scenarios. And the optimal scenario is determined based on this range. The results suggest the following conclusions. 1) The scenarios located on the border between scenario cost minimization and GHG minimization create an optimum curve, and scenario GHG minimization has the smallest eco-efficiency on the curve; 2) Simple pursuit of eco-efficiency minimization using fractional programming may be unreasonable; 3) Balancing GHG emissions from incineration and landfills benefits Tianjin's waste management system as it reduces GHG emissions and costs.
文摘To predict and analyze the municipal solid waste(MSW)pyrolysis and gasification process in an updraft fixed bed more veritably and appropriately,numerical modeling based on Gibbs energy minimization was executed using the Aspen plus software.The RYield module was combined with the RGibbs module to describe the pyrolysis section,while the RGibbs module was used for the gasification section individually.The proposed model was used to forecast and analyze the target performance parameters including syngas composition,lower heating value(LHV)and carbon conversion rate under different conditions of the gasification temperatures,and ratios and types of gasifying agents.The results indicate that there is a good agreement between the experimental data and the simulated data obtained using this model.The predicted optimum gasification temperature is approximately 750°C,and the best ratio of water vapor as gasifying agent is around 0.4.The mixture of flue gas and water vapor has an economical and recycled prospect among four commonly used gasifying agents.
基金Project supported by the National Natural Science Foundation of China(No.51805470)the Fundamental Research Funds for the Central Universities(No.2018QNA4013)+1 种基金the Open Foundation of Key Laboratory of Efficient Utilization of Low and Medium Grade Energy(Tianjin University)Ministry of Education of China(No201704-403)
基金Project supported by the National Basic Research Program(973 Program)of China(No.2012CB215303)the Science Research Foundation of Shandong Entry-Exit Inspection and Quarantine Bureau of China(No.SK201042)