Optimisation and process design tools for cleaner production

被引：48

作者：

Fan, Yee Van ^{[1
]}

Chin, Hon Huin ^{[1
]}

Klemes, Jiri Jaromir ^{[1
]}

Varbanov, Petar Sabev ^{[1
]}

Liu, Xia ^{[2
]}

机构：

[1] Brno Univ Technol VUT Brno, Fac Mech Engn, NETME Ctr, SPIL, Tech 2896-2, Brno 61669, Czech Republic

[2] SINOPEC Shanghai Res Inst Petrochem Technol, Shanghai 201208, Peoples R China

来源：

JOURNAL OF CLEANER PRODUCTION | 2020年 / 247卷

关键词：

SOLID-WASTE MANAGEMENT; ARTIFICIAL NEURAL-NETWORK; GRAPH-THEORETIC APPROACH; BIO-OIL ADDITIVES; P-GRAPH; RENEWABLE ENERGY; PINCH ANALYSIS; SUPPLY CHAIN; MULTIOBJECTIVE OPTIMIZATION; PARTICULATE MATTER;

D O I：

10.1016/j.jclepro.2019.119181

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Assessments of hotspot analysis and process optimisation followed by improved design are essential to achieve cleaner production. Cleaner production also involves complex interactions with economic and social performance. It plays a substantial role in sustainable development. This contribution presents an overview of cleaner production achievements and selection of relevant recent work dealing with optimisation tools and process design as published in the Special Issue on Process Integration and Intensification for Sustainable Evolution via Resource and Emission Reduction. The cleaner production tools including Pinch Analysis, Process Graph, Artificial Intelligence and computer-aided modelling, are reviewed. The roles of waste streams as secondary resources process design in cleaner production and circular economy is also discussed. The highlights of the recent development contribute to the field of study by drawing out the attention for potential future research. (C) 2019 Elsevier Ltd. All rights reserved.

引用

页数：13

共 138 条

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