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Erschienen in: Clean Technologies and Environmental Policy 7/2016

10.02.2016 | Original Paper

Pinch analysis-based approach to industrial safety risk and environmental management

verfasst von: Raymond R. Tan, Mustafa Kamal Abdul Aziz, Denny K. S. Ng, Dominic C. Y. Foo, Hon Loong Lam

Erschienen in: Clean Technologies and Environmental Policy | Ausgabe 7/2016

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Abstract

Pinch Analysis is an established method for enhancing the sustainability of industrial processes via efficient use of various resources. It is based on the principle of target identification followed by subsequent system design aided by a problem decomposition strategy based on the Pinch Point. This approach has recently been extended to apply to a broad range of structurally analogous problems in various domains, such as financial management and carbon-constrained energy planning. In this work, a novel graphical methodology for industrial safety risk and environmental management is proposed. In this method, it is assumed that a set of risk or pollution reduction measures is available, and that each measure is characterized by its implementation cost and the degree of benefit that it delivers. These data are then used to generate a source composite curve. Targeting can then be achieved by shifting this curve relative to a pre-defined sink composite curve, which represents the locus of the plant management’s “willingness to pay,” or budget relative to benefits with respect to risk or pollutant reduction. The methodology is then demonstrated on two case studies. The first case is based on the well-known Bhopal incident, while the second case focuses on the reduction of airborne fluoride emissions from brick firing plant.

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Metadaten
Titel
Pinch analysis-based approach to industrial safety risk and environmental management
verfasst von
Raymond R. Tan
Mustafa Kamal Abdul Aziz
Denny K. S. Ng
Dominic C. Y. Foo
Hon Loong Lam
Publikationsdatum
10.02.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Clean Technologies and Environmental Policy / Ausgabe 7/2016
Print ISSN: 1618-954X
Elektronische ISSN: 1618-9558
DOI
https://doi.org/10.1007/s10098-016-1101-7

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