Recent trends on hybrid modeling for Industry 4.0
The chemical processing industry has relied on modeling techniques for process monitoring,
control, diagnosis, optimization, and design, especially since the third industrial revolution …
control, diagnosis, optimization, and design, especially since the third industrial revolution …
Modelling for digital twins—potential role of surrogate models
The application of white box models in digital twins is often hindered by missing knowledge,
uncertain information and computational difficulties. Our aim was to overview the difficulties …
uncertain information and computational difficulties. Our aim was to overview the difficulties …
[HTML][HTML] Power-to-hydrogen as seasonal energy storage: an uncertainty analysis for optimal design of low-carbon multi-energy systems
I Petkov, P Gabrielli - Applied Energy, 2020 - Elsevier
This study analyzes the factors leading to the deployment of Power-to-Hydrogen (PtH 2)
within the optimal design of district-scale Multi-Energy Systems (MES). To this end, we utilize …
within the optimal design of district-scale Multi-Energy Systems (MES). To this end, we utilize …
Optimisation of the energy, water, and food nexus for food security scenarios
The food security challenge has become a major concern for many countries and regions in
the light of changing climatic conditions, unpredictable political instabilities and increasing …
the light of changing climatic conditions, unpredictable political instabilities and increasing …
Multi-objective optimization applications in chemical process engineering: Tutorial and review
GP Rangaiah, Z Feng, AF Hoadley - Processes, 2020 - mdpi.com
This tutorial and review of multi-objective optimization (MOO) gives a detailed explanation of
the 5 steps to create, solve, and then select the optimum result. Unlike single-objective …
the 5 steps to create, solve, and then select the optimum result. Unlike single-objective …
Analysis of weighting and selection methods for pareto-optimal solutions of multiobjective optimization in chemical engineering applications
Optimization in chemical engineering often involves two or more objectives, which are
conflicting. Multiobjective optimization (MOO) generates a set of equally good solutions from …
conflicting. Multiobjective optimization (MOO) generates a set of equally good solutions from …
Stakeholder-oriented multi-objective process optimization based on an improved genetic algorithm
Multi-objective optimization (MOO) is frequently used to solve many practical problems of
chemical processes but process designers only need a limited number of valuable solutions …
chemical processes but process designers only need a limited number of valuable solutions …
Simultaneous optimization of the design and operation of multi-generation energy systems based on life cycle energy and economic assessment
Multi-generation energy systems could mitigate global energy consumption, carbon
emissions and economic costs. The promising energy, environmental and economic …
emissions and economic costs. The promising energy, environmental and economic …
A review of analytical and optimization methodologies for transitions in multi-scale energy systems
Reliable access to clean and affordable energy is a prerequisite to socio-economic
progress. Meeting the global energy demand in the face of a burgeoning population and …
progress. Meeting the global energy demand in the face of a burgeoning population and …
[HTML][HTML] Application of reduced-order models based on PCA & Kriging for the development of digital twins of reacting flow applications
Detailed numerical simulations of detailed combustion systems require substantial
computational resources, which limit their use for optimization and uncertainty quantification …
computational resources, which limit their use for optimization and uncertainty quantification …