摘要
重点针对焦化工艺设计集成、质量预测模型、节能控制等方面论证了传统焦化企业应用过程系统工程方法的有效途径。结果表明,以过程系统的观点把握焦化厂的流程设计和集成的方向,系统层次可得到进一步优化。而应用神经网络或遗传算法等先进的过程系统工程手段建立煤焦生产中焦炭质量预测模型,会使预测模型的实用性得到进一步提升。从过程系统工程观念出发,应用各种优化节能技术,可使焦化厂节能工作进入崭新阶段。
Especially focused on coke-making design integration ,prediction model of coke quality and energy-saving technology, we demonstrated some effective application ways and means of process systems engineering in traditional coke-making plants. The results show that we can make systems structure optimized by holding the direction of coke-making plant design on the viewpoint of process systems. And prediction models of coke quality using in coal & coke production are built up based on some advanced measures in process systems engineering, for example nerve net, genetics algorithm, which can upgrade the practicability of prediction models. From the intention of process systems engineering, energy conservation work in coke-making plants can enter into a new period by using some optimization and energy-saving technology.
出处
《洁净煤技术》
CAS
2009年第1期47-50,共4页
Clean Coal Technology
关键词
过程系统工程
焦化
控制
优化
process systems engineering
coke-making
control
optimization