Xiang Shu-guang

Multi-Objective Game Models for Chemical Industrial Park

Abstract Chemical industrial park is a practical form of industrial symbiosis network to emerge to achieve the goal of resource sharing among the participating chemical plants. The aim of this work is to present a systematic framework for industrial symbiosis networks (ISN) evaluation and modeling. A mathematical multi-objective game model is proposed to enhance understanding of ISN issues and motivate improvements of economic, resources and environmental sustainability. Results suggest that the effectiveness of policies designed to improve chemical industrial park management may be enhanced by this proposed framework. It allows the system designers to consider simultaneously the synthesis of ISN according to the existing data to establish synergies between each two participating plants.

Estimating the Normal Boiling Point of Organic Compounds Based on Elements and Chemical Bonds

Abstract Based on elements and chemical bonds, a new method for estimating the normal boiling point of pure organic compounds from chemical structure was proposed. This method considers the contributions of interactions between elements and chemical bonds in the molecule. On the basis of 4,060 kinds of credible experimental data, 7 correlation equations are obtained by regression analysis. A mean absolute average deviation of 15.16K, less much than mostly used group contribution methods for alkyne, chloride derivative, iodine derivative, especially for alkane, bromide derivative, aromatic hydrocarbon, alicyclic hydrocarbon and sulphide organic compounds. Compared with the other group contributions methods, the proposed method in this paper showed significant improvements in accuracy and the ability to distinguish among isomers.