China, an oil and NG scarcity country, is coal dependent, and this situation will remain for a long time. DME, as an ideal replacer of liquid fuel, is considered to develop. The efficient way of producing DME from coal is under research. Considering the components of coal and natural gas (NG), we choose co-feed (coal and NG) and co-production (electricity and DME) system (Co–Co system) to be studied on. Three systems which are the standalone system, co-generation system and Co–Co system are simulated by Aspen-Plus. The simulation results concerning material flows, exergy flows, CO2 emission and the evaluation indexes are obtained. It is found that Co–Co system has higher exergy efficiency, higher economic benefit, and it is environmental friendly because of releasing the least CO2.The analysis llustrates that Co–Co system has obviously advantage over the other two kinds of systems.

A systematic methodology is presented for refinery modeling and optimization on the basis of much more detailed molecular information than is used in conventional lumped methods. The novelty of this work is that it incorporates models based on microscopic understanding into optimization to achieve macroscopic improvements. A molecular matrix based on a homologous series of hydrocarbon compounds is used to characterize refining streams. A transformation method is developed for obtaining molecular compositions from stream bulk properties. Molecular models are then built for several processes. Molecular modeling and optimization are finally integrated into an overall refinery optimization framework. Results show that molecular information can provide much better understanding and new insights into refining operation. Consequently optimization based on molecular modeling can greatly improve total profit while making quality products that satisfy environmental regulations.

A systematic methodology is presented for refinery modelling and optimisation on the basis of much more detail molecular information than conventional lumped methods. The novelty of this work is to incorporate models based on microscopic understanding into optimisation to achieve macroscopic im- provement. A molecular matrix based on homologous series of hydrocarbon compounds (B. Peng, Ph.D. Thesis, UMIST, 1999, pp. 22-41) is used to characterise refining streams. A transformation method is developed for obtaining molecular compositions from stream bulk properties. Molecular models are then built for several processes. Molecular modelling and optimisation are finally integrated into an overall refinery optimisation framework. Results show that molecular information can provide much better un-derstanding and new insights into refining operation. Consequently optimisation based on molecular modelling can greatly improve total profit while making quality products satisfying environmental regu-lations.

本文基于对我国能源、资源现状以及煤炭行业的研究，将多资源、多产品关联耦合的新型煤气化多联产结构与生态工业园区结合，指出煤气化多联产系统是未来煤利用的重要方向和发展趋势，具有环境、能源、经济多方面的共同效益。在此基础上，讨论了煤气化多联产生态工业系统的关键技术与问题，进行多角度的系统分析，剖析生态工业园区实践的现状与未来，提出了主要问题，并指明了发展方向。

With more and more severe problems of environmental pollution, the chemical industry entails the consideration of minimum environmental impact when synthesizing reaction path. In this paper, a systematic method for reaction path synthesis is described in which undesirable chemicals are cycled to realize zero avoidable pollution. A novel concept of simple stoichiometric reactions (SSRs) is introduced to determine simple stoichiometries between raw materials, probable intermediate chemicals and co-products and to form a reaction path network. Promising reactions are identified by an optimization program from this network. Case studies are discussed to illustrate the proposed method.