Analysis, Integration And Complexity Study Of Industrial Ecosystems

Eco-industry is a new paradigm for industrial development. It tries to operate and reorganize industrial systems as Industrial Eco-Systems(IESs) in analogy with the way that natural ecosystems are running on, in which materials are recycled and efficiently used. IES is composed of diverse enterprise members and inter-member flows of material, energy and money. In this dissertation, analysis, integration and evolutionary simulation of IES were explored. The study was based on the knowledge of chemical engineering, ecology and system engineering, and three Eco-Industrial Park(EIP) projects that the author once participated in.1. Analysis of IES studies complicated flow patterns and utilization effects of material and energy in the system. Combined with industrial metabolism analysis, the Input-Output Analysis(IOA) approach which has a solid mathematical base was applied. With IOA approach, two indicators, average path length and cycling index were presented, which could significantly reveal the system structure and material utilization efficiency. Based on IOA and graph theory, a new indicator, coupled degree was proposed to uncover the intimate degree of network nodes via flows connection among each other. To validate the effectiveness of these indicators, the sulfur element metabolism network in Lubei EIP was taken as major case study. Comparison among several other natural ecosystem and IES cases were carried out in addition. 2. Integration of IES studies how to synthesize material, energy and money flow in an industrial system. A mixed integer nonlinear programming model with logical proposition constraints was developed for EIP. The model could provide decision supports for EIP design and management and was illustrated by a case study of Zaozhuang EIP.3. IES is a complex system, the evolution of which are a long-term process with features of self-adaptiveness and self-organization. Under the complex adaptive system theory, a multi-agent based simulation model for IES's evolution was developed. The agents of the model could independently responses to the changes of environment. Evolutionary process of IES could be explored by running the simulation model. A regional industrial water system abstracted from an EIP planning project was used as case study. The model was developed by Java on a multi agent based simulation platform, SWARM.