摘要
针对拆迁与新建废弃物回收物流中的模糊性与随机性,研究不同碳排放政策下回收网络的设计。构建以系统利润最大和废弃物填埋量最小为目标的模糊随机规划模型,通过模糊数的期望区间和期望价值对模糊目标与约束进行转化,运用样本平均近似法和ε-约束法处理随机参数并将填埋量目标转化成约束。以青岛市城镇棚户区改造项目为例进行算例分析,并使用gurobi求解模型。研究发现,当允许填埋的比例较高时(rL>34%),碳交易政策下系统利润更高;当允许填埋的比例较低时(rL<34%),碳税政策下系统利润更高;当填埋约束严格时(rL=30%),碳排放政策基本不发挥碳减排作用;在混合政策下且无填埋约束时,政府对碳交易价格水平与波动进行调控可以平衡回收网络的碳排放量与废弃物填埋量。
Focusing on the fuzziness and randomness in the recycling logistics of demolition and construction wastes,the design of recycling networks under different carbon emission policies is studied.A fuzzy-stochastic programming model with objectives being maximizing system profit and minimizing waste landfills is established;the fuzzy objectives and constraints are transformed through expected intervals and expected values of fuzzy numbers;the sample average approximation method and theε-constraint method are used to cope with random parameters and transform the landfill objective into constraints;taking the renovation project of shanty towns in Qingdao as a case study,a numerical analysis is conducted,where the model is solved by gurobi.Results show that:the system is more profitable under a carbon trading policy when the proportion of landfills allowed is high(rL>34%)and more profitable under a carbon tax policy when the proportion of landfills allowed is low(rL<34%);when there is a strict landfill constraint(rL=30%),carbon emission policies basically do no work in carbon reduction;with a mixed policy and no landfill constraint,the government's regulation of carbon trading price level and fluctuation can balance the carbon emission and waste landfills of recycling networks.
作者
纪祥
王玖河
隋依庭
JI Xiang;WANG Jiuhe;SUI Yiting(School of Economics and Management,Yanshan University,Qinhuangdao 066004,China)
出处
《工业工程》
北大核心
2023年第2期163-175,共13页
Industrial Engineering Journal
基金
河北省高等学校人文社会科学重点研究基地资助项目(639000264)。
关键词
碳交易
碳税
混合政策
模糊随机规划
回收网络
carbon trading
carbon tax
mixed policy
fuzzy-stochastic programming
recycling network