LS Dias, MG Ierapetritou - Computers & Chemical Engineering, 2020 - Elsevier
In this work, a framework for the integration of planning, scheduling and control using data- driven methodologies is proposed. The framework consists of addressing the integrated …
Recent studies on modular and distributed manufacturing have introduced a new angle to the traditional economies of scale that claim that large plants exhibit better efficiencies and …
Y Chen, M Lin, H Jiang, Z Yuan, B Chen - Computers & Chemical …, 2020 - Elsevier
Robust design of hydrogen systems for large-scale refineries under multi-scale uncertainties has great potential for energy saving and cost reduction. The operation of hydrogen network …
In this work, we formulate the extended flexibility analysis, which takes into account two different types of uncertain parameters, measured (θ m) and unmeasured (θ u), as a …
C Zheng, F Zhao, L Zhu, X Chen - Industrial & Engineering …, 2020 - ACS Publications
The cylindrical algebraic decomposition (CAD) method has been proposed for flexibility analysis to derive analytical expressions of a feasible region. Due to the heavy …
R Paulavičius, J Gao, PM Kleniati… - Computers & Chemical …, 2020 - Elsevier
We describe BASBL, our implementation of the deterministic global optimization algorithm Branch-and-Sandwich for a general class of nonconvex/nonlinear bilevel problems, within …
Retrofitting of industrial heat recovery systems can contribute significantly to meeting energy efficiency targets for industrial plants. One issue to consider when screening retrofit design …
O Walz, H Djelassi, A Mitsos - AIChE Journal, 2020 - Wiley Online Library
Typical optimal experimental design (OED) methods aim at minimizing the covariance matrix of the estimated parameters regardless of the intended application of the model that is being …