Uncertainty is inherent to the measurement and modeling of process systems, where it can have significant impacts on the efficacy of optimization techniques. This work proposes a …
H Zhang, N Mazzi, K McKinnon, RG Nava… - Computers & Operations …, 2024 - Elsevier
Benders decomposition with adaptive oracles was proposed to solve large-scale optimisation problems with a column-bounded block-diagonal structure, where subproblems …
The level of waste management varies significantly from one EU state to another and therefore they have different starting position regarding reaching defined EU targets. The …
The transition to a circular economy can be realized with higher waste recycling. With the knowledge of waste flows and the links between them, it is possible to plan the infrastructure …
We propose the REORIENT (REnewable resOuRce Investment for the ENergy Transition) model for energy systems planning with the following novelties:(1) integrating capacity …
This contribution represents a practical application of predictive thermal modelling of an existing cogeneration plant. The analysed cogeneration plant consists of a gas turbine …
In this work, a dynamic optimizer (DO) is enhanced with elements taken from the Modifier Adaptation (MA) methodology for Real-Time Optimization (RTO). The objective is to use the …
Hydrogen management in an uncertain environment is an important aspect considering environmental and economic perspectives. In this paper, a novel framework and analysis for …
H Zhang, N Mazzi, K McKinnon, RG Nava… - arXiv preprint arXiv …, 2022 - arxiv.org
Benders decomposition with adaptive oracles was proposed to solve large-scale optimisation problems with a column bounded block-diagonal structure, where subproblems …