当前位置: X-MOL 学术Comput. Chem. Eng. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Optimal municipal solid waste energy recovery and management: A mathematical programming approach
Computers & Chemical Engineering ( IF 3.9 ) Pub Date : 2018-09-26 , DOI: 10.1016/j.compchemeng.2018.09.025
Jaime Garibay-Rodriguez , Maria G. Laguna-Martinez , Vicente Rico-Ramirez , Jose E. Botello-Alvarez

A multi-period approach to municipal solid waste (MSW) management is proposed. The analysis includes the optimization of a MSW network considering waste reduction processes and landfilling. The optimization of the transportation of MSW to its potential destinations has been addressed using a direct-hauling system and an optimally allocated off-municipality transfer station. As the main component in the formulation, an optimal landfill gas (LFG) to energy design is obtained to improve the economics of the landfill operation; the design involves the installation of several harnessing technologies according to the annual increase or decay of the LFG flow rate. A case-study for a municipality in Mexico has been solved through the GAMS® modeling environment. The resulting mixed-integer linear programming (MILP) model has been assessed through several scenarios. The results show that the installation of an LFG-to-electricity system and a materials recycling facility achieve the minimum overall cost of the MSW management.



中文翻译:

最佳的城市固体废物能源回收和管理:一种数学编程方法

提出了一种多阶段的城市固体废物(MSW)管理方法。分析包括考虑废物减少过程和垃圾掩埋的MSW网络的优化。使用直接运输系统和最优分配的市外转运站,已经解决了城市生活垃圾向其潜在目的地的运输的优化问题。作为配方中的主要成分,获得了一种用于能源设计的最佳垃圾填埋气(LFG),以提高垃圾填埋场运营的经济性;根据LFG流量的逐年增加或减少,设计涉及安装多种治理技术。通过GAMS®建模环境,解决了墨西哥某城市的案例研究。通过几种方案评估了所得的混合整数线性规划(MILP)模型。结果表明,安装LFG电力系统和材料回收设施可实现MSW管理的最低总成本。

更新日期:2018-09-26
down
wechat
bug