化工进展 ›› 2018, Vol. 37 ›› Issue (06): 2438-2444.DOI: 10.16085/j.issn.1000-6613.2017-1654

• 应用技术 • 上一篇    下一篇

替代燃油的计算机辅助设计方法

张磊, 刘琳琳, 都健   

  1. 1 大连理工大学化工学院化工系统工程研究所, 辽宁 大连 116024
  • 收稿日期:2017-08-07 修回日期:2017-09-13 出版日期:2018-06-05 发布日期:2018-06-05
  • 通讯作者: 张磊(1986-),男,博士,副教授。
  • 作者简介:张磊(1986-),男,博士,副教授。E-mail:keleiz@dlut.edu.cn。
  • 基金资助:
    中央高校基本科研业务费专项资金(DUT17RC(3)008)及国家自然科学基金(21576036,21776035)项目。

A computer-aided design methodology for tailor-made surrogate fuels

ZHANG Lei, LIU Linlin, DU Jian   

  1. Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China
  • Received:2017-08-07 Revised:2017-09-13 Online:2018-06-05 Published:2018-06-05

摘要: 化工产品在人类社会发展中占有重要地位。其中汽油、柴油等燃油在持续的能源需求增长中起到重要作用。另一方面,替代燃油的开发满足了现代社会对于燃油性能、安全、环境与可持续发展越来越高的要求。因此,有必要建立替代燃油成分与需求之间的模型,以进行替代燃油的设计。本文提出了一种基于计算机辅助技术的燃油设计方法。首先,对燃油产品的需求进行分析,并将这些需求转化为一系列物理性质及其约束条件。其次,利用计算机辅助产品设计方法,基于性质约束条件生成一系列产品候选配方。进而,建立了产品配方选择的混合整数非线性规划(MINLP)模型,通过求解该模型,可以得到燃油产品的最优配方组成。最终,利用实验及其他严格模型对得到的燃油产品进行验证。本文利用汽油替代燃油的设计案例对提出的设计方法进行了验证。

关键词: 计算机辅助设计, 产品设计, 替代燃油, 产品性质

Abstract: Chemical products are needed for the survival of modern society. Among all of them, fuels such as gasolines and diesels continue to play a significant role in meeting the energy demand. At the same time, the requirements of higher performance, safety, environmental friendly and sustainability force us to design new kinds of surrogate fuels. Therefore, it is necessary to develop models for the composition of surrogate fuels and their technical requirements for their design. In this paper, a computer-aided design methodology for the design of tailor-made surrogate is proposed. The product needs are first analyzed and translated into property constraints. The candidates of each ingredient and their pure compound properties are then generated using computer-aided design methods. A Mixed Integer Non-Linear Programming(MINLP) model is established for the selection of the candidates for each ingredient. Optimal composition of surrogate fuels is obtained through the solution of the MINLP model. Finally, the optimization results are verified through experiments, tools and other rigorous models. A case study for gasoline design is presented to illustrate the proposed methodology.

Key words: computer-aided design, product design, tailor-made surrogate fuels, product property

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