Common vulnerabilities of RTO implementations in real chemical processes

AD Quelhas, NJC de Jesus… - The Canadian Journal of …, 2013 - Wiley Online Library
Real‐time optimisation (RTO) systems face challenging scenarios in industrial practice, such
as incomplete and corrupted process information, uncertain large‐scale mathematical …

Uncertainties in the resource conservation problems: a review

D Arya, S Bandyopadhyay - Clean Technologies and Environmental …, 2022 - Springer
Process integration, which started its development in the early 1970s, is an emerging branch
of study for conserving various resources. Process integration studies the interdependencies …

Second order conic approximation for disassembly line design with joint probabilistic constraints

ML Bentaha, O Battaïa, A Dolgui, SJ Hu - European Journal of Operational …, 2015 - Elsevier
A problem of profit oriented disassembly line design and balancing with possible partial
disassembly and presence of hazardous parts is studied. The objective is to design a …

Data-driven robust optimization under correlated uncertainty: a case study of production scheduling in ethylene plant

Y Zhang, X Jin, Y Feng, G Rong - Computers & Chemical Engineering, 2018 - Elsevier
To hedge against the fluctuations generated from continuous production processes,
practical solutions can be obtained through robust optimization induced by the classical …

Optimization of refinery hydrogen network based on chance constrained programming

Y Jiao, H Su, W Hou, Z Liao - Chemical Engineering Research and Design, 2012 - Elsevier
Deterministic optimization approaches have been developed and used in the optimization of
hydrogen network in refinery. However, uncertainties may have a large impact on the …

A machine learning-based methodology for multi-parametric solution of chemical processes operation optimization under uncertainty

A Shokry, S Medina-González, P Baraldi, E Zio… - Chemical Engineering …, 2021 - Elsevier
Chemical process operation optimization aims at obtaining the optimal operating set-points
by real-time solution of an optimization problem that embeds a steady-state model of the …

Data-driven crude oil scheduling optimization with a distributionally robust joint chance constraint under multiple uncertainties

X Dai, L Zhao, R He, W Du, W Zhong, Z Li… - Computers & Chemical …, 2023 - Elsevier
Crude oil scheduling optimization is crucial for decreasing the production cost of refineries.
However, the feasibility of the optimized schemes is challenged by uncertainties such as …

Stochastic pinch analysis to optimize resource allocation networks

D Arya, K Shah, A Gupta… - Industrial & Engineering …, 2018 - ACS Publications
Pinch analysis is a physical insight-based optimization technique, applicable to
conservation problems for a wide range of resources (such as energy, water, hydrogen …

Optimizing LPG production under quality specifications by preprocessing MILP with Pareto dominance and DEA

P Eirinakis, G Koronakos, S Plitsos - International Journal of …, 2024 - Taylor & Francis
Liquified Petroleum Gas (LPG) is an oil refinery product that must adhere to quality
specifications with respect to certain impurities. Refineries apply an LPG purification process …

Automatized Monte-Carlo analysis of offshore processing of CO2-rich natural gas: Conventional versus supersonic separator routes

CSB Gonzaga, L de Oliveira Arinelli… - Journal of Natural Gas …, 2019 - Elsevier
Offshore oil/gas production with high% CO 2 and gas-to-oil ratio impose processing large
volumes of CO 2-rich gas. This requires first-of-a-kind designs and creates design …