Lu H W, Huang G H, He L, Zeng G M
Faculty of Engineering, University of Regina, Regina, SK S4S 0A2, Canada.
J Environ Manage. 2009 Jan;90(1):396-409. doi: 10.1016/j.jenvman.2007.10.011. Epub 2007 Dec 21.
Municipal solid waste (MSW) should be properly disposed in order to help protect environmental quality and human health, as well as to preserve natural resources. During MSW disposal processes, a large amount of greenhouse gas (GHG) is emitted, leading to a significant impact on climate change. In this study, an inexact dynamic optimization model (IDOM) is developed for MSW-management systems under uncertainty. It grounds upon conventional mixed-integer linear programming (MILP) approaches, and integrates GHG components into the modeling framework. Compared with the existing models, IDOM can not only deal with the complex tradeoff between system cost minimization and GHG-emission mitigation, but also provide optimal allocation strategies under various emission-control standards. A case study is then provided for demonstrating applicability of the developed model. The results indicate that desired waste-flow patterns with a minimized system cost and GHG-emission amount can be obtained. Of more importance, the IDOM solution is associated with over 5.5 million tonnes of TEC reduction, which is of significant economic implication for real implementations. Therefore, the proposed model could be regarded as a useful tool for realizing comprehensive MSW management with regard to mitigating climate-change impacts.
城市固体废物（MSW）应妥善处置，以帮助保护环境质量和人类健康，以及保护自然资源。在城市固体废物处置过程中，会排放大量温室气体（GHG），对气候变化产生重大影响。在本研究中，针对不确定性下的城市固体废物管理系统开发了一种非精确动态优化模型（IDOM）。它基于传统的混合整数线性规划（MILP）方法，并将温室气体成分纳入建模框架。与现有模型相比，IDOM不仅可以处理系统成本最小化与温室气体排放减排之间的复杂权衡，还可以在各种排放控制标准下提供最优分配策略。然后提供了一个案例研究来证明所开发模型的适用性。结果表明，可以获得具有最小系统成本和温室气体排放量的理想废物流模式。更重要的是，IDOM解决方案可减少超过550万吨的总等效温室气体排放量，这对实际实施具有重大经济意义。因此，所提出的模型可被视为实现全面城市固体废物管理以减轻气候变化影响的有用工具。
