Integrating uncertainty quantification in reliability, availability, and maintainability (RAM) analysis in the conceptual and preliminary stages of chemical process design
Ημερομηνία
2021Γλώσσα
en
Λέξη-κλειδί
Επιτομή
Traditional analysis of a proposed process design uses average input values in the performance assessment model, thereby generating single-point estimates. The resulting estimates ignore reliability, availability, and maintainability (RAM) considerations, or assume a fixed value based on prior experience. As a result, a probabilistic view of the impact of equipment unavailability on process profitability is not considered. Recent works have proposed a financial framework for incorporating safety and sustainability considerations in the analysis of proposed designs. Based on this research, we propose a framework to integrate RAM aspects during the conceptual design stage in a probabilistic manner using Monte Carlo simulation. Subsequently, full distribution profiles of key process performance indicators are generated, including system and section availability, annual net profit, and return on investment (ROI). Probabilistic characterization of equipment availability also facilitates the prediction of potential safety and sustainability issues, as more frequent process upsets may result in increased flaring and other potential negative consequences. A modified availability metric, using restoration instead of repair times, is used in this work to obtain a more accurate view of expected downtime and thus its effects on profitability. A propane dehydrogenation (PDH) process system is used to demonstrate the application and benefits of the framework. The proposed approach allows designers and decision-makers to comprehensively assess the impacts of equipment RAM characteristics on process availability and economic performance. © 2021 Institution of Chemical Engineers
Collections
Related items
Showing items related by title, author, creator and subject.
-
Shortening design time through multiplatform simulations with a portable OpenCL golden-model: The LDPC decoder case
Falcao, G.; Owaida, M.; Novo, D.; Purnaprajna, M.; Bellas, N.; Antonopoulos, C. D.; Karakonstantis, G.; Burg, A.; Ienne, P. (2012)Hardware designers and engineers typically need to explore a multi-parametric design space in order to find the best configuration for their designs using simulations that can take weeks to months to complete. For example, ... -
SCIZER: A scalable placement visualizer/analyzer
Dadaliaris A.N., Oikonomou P., Koziri M.G., Hatzaras Y., Stamoulis G.I. (2017)The major design challenges of ASIC design, like power dissipation, timing, voltage-drop, interconnect and reliability are tackled during the Physical Design phase of any flow. The placement procedure can significantly ... -
Augmented Bridges: Investigating the potential of augmented reality for the design of configurable bridges
Symeonidou I., Weissenböck R., Efstathiadis A. (2022)The paper expands on the potential of using Augmented Reality (AR) for the design and customization of bridges. Following a literature review on the use of AR in architectural design, and in particular in design education, ...