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Risk-based operational performance analysis using loss functions

journal contribution
posted on 2023-05-19, 10:39 authored by Hashemi, SJ, Ahmed, S, Faisal KhanFaisal Khan
This paper proposes a risk-based process performance assessment methodology using loss functions. The proposed method helps to overcome the existing challenges in assessing impacts of deviations of process variables on safety and economy of a process operation. The inverted Beta loss function is used to incorporate the effects of process deviations on the safety and quality losses. The demand rate adjustment factor is used to model the effect of process deviations on the failure probability of safety systems. The probability of a failed process state due to abnormal events is continuously updated based on the current value of the characteristic variables. The use of the loss function approach in combination with probability updating provides a continuously revised risk estimation. Such a real-time risk profile provides a leading performance indicator for decision-making at an operational level. As an example, a temperature surge in a continuous stirred tank reactor is used to demonstrate the efficacy of the proposed methodology.

History

Publication title

Chemical Engineering Science

Volume

116

Pagination

99-108

ISSN

0009-2509

Department/School

Australian Maritime College

Publisher

Pergamon-Elsevier Science Ltd

Place of publication

United Kingdom

Rights statement

Copyright 2014 Elsevier Ltd.

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in engineering