摘要
针对以往石化企业蒸汽动力系统的节能减排仅局限于企业自身,提出基于排污权交易的蒸汽动力系统多周期运行优化模型。以操作、减排和排污权交易总费用为目标函数,增加排污总量约束,并采用线性变化参数的粒子群优化算法求解,通过企业与企业之间排污权的交易,来达到减排降耗的目的。工程实例研究结果表明,该企业的排污量超过允许排污额度277.86t,如将减排效率提高至91.8%以上,则可将排污权卖出。该模型的提出为企业管理者提供了全新的理论依据。
In view of the fact that the previous energy saving and emission reduction were limited to enterprises themselves in the petrochemical industry, an emission trading multiple cycle operation optimization model of steam power system was put forward. The total cost of operation, emission reduction and emission trading is used as an objective function with a constraint of the total increased emission, and a particle cluster optimimzation algorithm based on linear changing parameters is adopted to solve the optimization problem, in order to achieve the aim of the reduction of emission and energy. The results of a practical case show that the amount of the enterprise's emission exceeds the permitted limit by 277.86 t. If the efficiency of emission reduction is improved up to 91.8%, the emission right can be traded out. The proposed model can provide a noval theorectical guide for enterprise managers.
出处
《热科学与技术》
CAS
CSCD
北大核心
2016年第3期236-240,共5页
Journal of Thermal Science and Technology
基金
国家自然科学基金资助项目(51574136
51104083
51504121)
关键词
蒸汽动力系统
多周期
优化
排污权交易
粒子群优化算法
steam power system
multi-period
optimization
emission trading
particle swarm optimization