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Fan, Y.V., Chin, H.H., Klemeš, J.J., Varbanov, P.S., Liu X.
Original Title
Optimisation and Process Design Tools for Cleaner Production
Type
journal article in Web of Science
Language
English
Original Abstract
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.
Keywords
SOLID-WASTE MANAGEMENT; ARTIFICIAL NEURAL-NETWORK; GRAPH-THEORETIC APPROACH; BIO-OIL ADDITIVES; P-GRAPH; SUPPLY CHAIN; RENEWABLE ENERGY; PINCH ANALYSIS; MULTIOBJECTIVE OPTIMIZATION; PARTICULATE MATTER
Authors
Released
20. 2. 2020
Publisher
ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
ISBN
0959-6526
Periodical
Journal of Cleaner Production
Number
247
State
United Kingdom of Great Britain and Northern Ireland
Pages from
119181
Pages to
119192
Pages count
13
URL
https://www.sciencedirect.com/science/article/pii/S095965261934051X?via%3Dihub
BibTex
@article{BUT163331, author="Yee Van {Fan} and Hon Huin {Chin} and Jiří {Klemeš} and Petar Sabev {Varbanov}", title="Optimisation and Process Design Tools for Cleaner Production", journal="Journal of Cleaner Production", year="2020", number="247", pages="119181--119192", doi="10.1016/j.jclepro.2019.119181", issn="0959-6526", url="https://www.sciencedirect.com/science/article/pii/S095965261934051X?via%3Dihub" }