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Dynamic Surrogate Model Based Optimization for MPPT of Centralized Thermoelectric Generation Systems Under Heterogeneous Temperature Difference [PDF]

open access: yesIEEE Transactions on Energy Conversion, 2020
A novel dynamic surrogate model based optimization (DSMO) for centralized thermoelectric generation (TEG) system affected by heterogeneous temperature difference (HeTD) is designed to achieve maximum power point tracking (MPPT) in this article.
Lin Jiang, Xiaoshun Zhang, Bo Yang
exaly   +2 more sources

The Role of Surrogate Models in the Development of Digital Twins of Dynamic Systems [PDF]

open access: yesApplied Mathematical Modelling, 2021
Digital twin technology has significant promise, relevance and potential of widespread applicability in various industrial sectors such as aerospace, infrastructure and automotive. However, the adoption of this technology has been slower due to the lack of clarity for specific applications.
Ranjan Ganguli   +2 more
exaly   +6 more sources

Adaptive Sampling of Dynamic Systems for Generation of Fast and Accurate Surrogate Models [PDF]

open access: yesChemie-Ingenieur-Technik, 2021
AbstractFor economic nonlinear model predictive control and dynamic real‐time optimization fast and accurate models are necessary. Consequently, the use of dynamic surrogate models to mimic complex rigorous models is increasingly coming into focus. For dynamic systems, the focus so far had been on identifying a system's behavior surrounding a steady ...
Erik Esche   +2 more
exaly   +4 more sources
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Surrogate Modeling with Gaussian Processes for an Inverse Problem in Polymer Dynamics

International Journal of Computational Methods, 2022
When rheological models of polymer blends are used for inverse modeling, they can characterize polymer mixtures from rheological observations. This requires repeated evaluation of potentially expensive rheological models. We explored surrogate models based on Gaussian processes (GP-SM) as a cheaper alternative for describing the rheology of ...
Pankaj Chouhan, Sachin Shanbhag
openaire   +2 more sources

Surrogate Modelling for Efficient Discovery of Emergent Population Dynamics

2019 International Conference on High Performance Computing & Simulation (HPCS), 2019
Outcomes of simulating complex systems models, such as emergent properties and desirable system level behaviours, can be discovered via heuristic techniques such as Genetic Algorithms (GAs). Using simulation as the cost function evaluation for a GA (i.e. simulation guided search) is computationally expensive.
James Pyle   +2 more
openaire   +2 more sources

Dynamic Surrogate Reservoir Model with well constraints

2016 3rd International Conference on Computer and Information Sciences (ICCOINS), 2016
Reservoir flow calculation is a significant aspect in oil and gas industries to calculate the results of a reservoir. Due to the large number of grid blocks and heterogeneity in reservoir models, extensive simulations are required to reduce the risk in reservoir's productivity.
Paras Q. Memon   +2 more
openaire   +1 more source

Dynamic structure response using surrogate models

2019
Environmental vibrations are a well-known problem that can cause annoyance and even have negative health effects to the exposed population. Using surrogate models for the estimation of vibrations is an attractive alternative to costly numerical modelling or on-site measurements.
P. Bucinskas, L.V. Andersen
openaire   +2 more sources

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