Perspective under uncertainty and risk in green hydrogen investments: A stochastic approach using Monte Carlo simulation

JVB de Andrade, VBF da Costa, BD Bonatto… - International Journal of …, 2024 - Elsevier
This paper presents a new approach to calculating the levelized cost of hydrogen (LCOH)
using a stochastic model under an uncertainty and risk perspective. The research problem is …

Low-variance parameter estimation approach for real-time optimization of noisy process systems

GD Patrón, L Ricardez-Sandoval - Industrial & Engineering …, 2022 - ACS Publications
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 …

[HTML][HTML] A stabilised Benders decomposition with adaptive oracles for large-scale stochastic programming with short-term and long-term uncertainty

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 …

Hierarchical optimisation model for waste management forecasting in EU

V Smejkalová, R Šomplák, J Pluskal… - Optimization and …, 2022 - Springer
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 …

Mixed-integer quadratic optimization for waste flow quantification

R Šomplák, V Smejkalová, J Kůdela - Optimization and Engineering, 2022 - Springer
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 …

Integrated investment, retrofit and abandonment planning of energy systems with short-term and long-term uncertainty using enhanced Benders decomposition

H Zhang, IE Grossmann, BR Knudsen… - arXiv preprint arXiv …, 2023 - arxiv.org
We propose the REORIENT (REnewable resOuRce Investment for the ENergy Transition)
model for energy systems planning with the following novelties:(1) integrating capacity …

Joint data reconciliation and artificial neural network based modelling: Application to a cogeneration power plant

JAV Godiño, FJJE Aguilar - Applied Thermal Engineering, 2024 - Elsevier
This contribution represents a practical application of predictive thermal modelling of an
existing cogeneration plant. The analysed cogeneration plant consists of a gas turbine …

[HTML][HTML] Dynamic optimization integrating modifier adaptation using transient measurements

E Oliveira-Silva, C de Prada, D Navia - Computers & Chemical …, 2021 - Elsevier
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 …

Targeting compression work in hydrogen allocation network with parametric uncertainties

G Shukla, ND Chaturvedi - Energy, 2023 - Elsevier
Hydrogen management in an uncertain environment is an important aspect considering
environmental and economic perspectives. In this paper, a novel framework and analysis for …

A stabilised Benders decomposition with adaptive oracles applied to investment planning of multi-region power systems with short-term and long-term uncertainty

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 …