摘要
石油化工企业的蒸汽动力系统(SPS)既是企业中的耗能大户,也是产生污染物的主要来源。为了满足石油化工企业工艺过程对蒸汽和电力不断变化的要求,实现企业节能降耗的目的,必须保证蒸汽动力系统在最优的状态下运行,同时考虑蒸汽系统对人类赖以生存的环境造成的影响。针对以上问题,提出了包括设备维护、转运费用和环境成本的混合整数非线性规划(MINLP)模型。利用改进的粒子群算法对其求解,并通过实例证明了利用该模型使用改进的PSO算法能很快得到最优的方案。将环境成本作为石油化工企业蒸汽动力系统运行总成本的一部分,虽然增加了企业的总运行成本,但对环境保护问题和经济社会全面协调可持续发展有着非常重要的意义。
Steam power system（SPS） is not only a major energy-consuming enterprises but also a major source of pollutants.The steam power system should be operated under the optimal scheme to meet the varying demand and power from process,to reduce cost and save energy for petrochemical industry.Considering the impact of steam power system to human environment,a mixed-integer nonlinear programming（MINLP） model including the maintenance of equipment,changeover costs and environmental costs was established.By using particle swarm optimization（PSO） calculation method to solve this model,reasonable optimal operation plan can be obtained.Although considering environmental costs as part of the total cost increases the total business operating costs,to resolve the issue of environmental protection and coordinated and sustainable economic and social development has very important significance.
出处
《石油学报（石油加工）》
EI
CAS
CSCD
北大核心
2010年第3期448-455,共8页
Acta Petrolei Sinica(Petroleum Processing Section)
