Investigating the effect of inherent safety principles on system reliability in process design

Ade, Nilesh; Liu, Guanlan; Al‐Douri, Ahmad; El‐Halwagi, Mahmoud M.; Mannan, M. Sam

doi:10.1016/j.psep.2018.04.011

Cited by 36 publications

(15 citation statements)

References 10 publications

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“…Tackling resilience has been a key issue in the design phase of processes and plants in the chemical industry. Ade et al 17 considered inherent safety, process reliability, and risk analysis in processing plants design. Jain et al 18 developed a process resilience analysis framework (PRAF) in order to account for risk and safety management in discrete phases of plant design.…”

Section: Introductionmentioning

confidence: 99%

Resilience‐aware design of interconnected supply chain networks with application to water‐energy nexus

Tsolas

Hasan

2021

AIChE Journal

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The effects of natural disasters, pandemic‐induced lockdowns, and other disruptions often cascade across networks. In this work, we use minimum cost of resilience (MCOR) and operation‐based resilience metrics to quantify network performance against single‐connectivity failures and identify critical connections in interconnected networks. MCOR corresponds to the minimum additional infrastructure investment that is required to achieve a certain level of resilience. To guarantee MCOR, we incorporate the metrics in a multi‐scenario mixed‐integer linear program (MILP) that accounts for resilience in the design phase of interconnected networks. The goal is to obtain optimal generation and transportation capacities with flexible operation under all single‐connectivity disruption scenarios. We demonstrate the applicability of our resilience‐aware framework on a water‐energy nexus (WEN) example focusing on grass‐root design and retrofitting. We further apply the framework to analyze a regional WEN and observe that it is possible to achieve “full” resilience in the expense of additional regional investments.

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Section: Introductionmentioning

confidence: 99%

Resilience‐aware design of interconnected supply chain networks with application to water‐energy nexus

Tsolas

Hasan

2021

AIChE Journal

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“…Yarveisy et al (2020) introduced resilience metrics based on reliability, maintainability, and system modeling approach. Ade et al (2018) investigated the role of inherent safety on the reliability of industrial processes. Al-Douri et al (2020) introduced an economic framework for mitigating operational failure by considering reliability, availability, and maintainability.…”

Section: Introductionmentioning

confidence: 99%

“…Reliability: which refers to the ability of the process or its components to function without failure. The conventional definition of reliability entails identifying the probability of failure and the mean time to failure (e.g., Ade et al, 2018;Al-Douri et al, 2020). Nonetheless, under extreme events the definition must be expanded to reflect the impact of the external shocks and their consequences.…”

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confidence: 99%

Disaster-Resilient Design of Manufacturing Facilities Through Process Integration: Principal Strategies, Perspectives, and Research Challenges

et al. 2020

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“…Ade et al. [14] showed that inherent safety plays a vital role in the reliability of processes at various parts of the design stage. It was observed that inherent safety design principles lead to simplifications (i.e., use of fewer equipment), longer corrective downtime maintenance, and to an increase in overall risk.…”

Section: Introductionmentioning

confidence: 99%

Design, optimisation and reliability allocation for energy systems based on equipment function and operating capacity

Andiappan

Benjamin

Tan

et al. 2019

Heliyon

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Designers of energy systems often face challenges in balancing the trade-off between cost and reliability. In literature, several papers have presented mathematical models for optimizing the reliability and cost of energy systems. However, the previous models only addressed reliability implicitly, i.e., based on availability and maintenance planning. Others focused on allocation of reliability based on individual equipment requirements via non-linear models that require high computational effort. This work proposes a novel mixed-integer linear programming (MILP) model that combines the use of both input-output (I-O) modelling and linearized parallel system reliability expressions. The proposed MILP model can optimize the design and reliability of energy systems based on equipment function and operating capacity. The model allocates equipment with sufficient reliability to meet system functional requirements and determines the required capacity. A simple pedagogical example is presented in this work to illustrate the features of proposed MILP model. The MILP model is then applied to a polygeneration case study consisting of two scenarios. In the first scenario, the polygeneration system was optimized based on specified reliability requirements. The technologies chosen for Scenario 1 were the CHP module, reverse osmosis unit and vapour compression chiller. The total annualized cost (TAC) for Scenario 1 was 53.3 US$ million/year. In the second scenario, the minimum reliability level for heat production was increased. The corresponding results indicated that an additional auxiliary boiler must be operated to meet the new requirements. The resulting TAC for the Scenario 2 was 5.3% higher than in the first scenario.

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Investigating the effect of inherent safety principles on system reliability in process design

Cited by 36 publications

References 10 publications

Resilience‐aware design of interconnected supply chain networks with application to water‐energy nexus

Resilience‐aware design of interconnected supply chain networks with application to water‐energy nexus

Disaster-Resilient Design of Manufacturing Facilities Through Process Integration: Principal Strategies, Perspectives, and Research Challenges

Design, optimisation and reliability allocation for energy systems based on equipment function and operating capacity

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