149 citations · 237 across the 13 of their papers we have counts for
13 papers
Connecting Representative Periods in Energy System Optimization Models using Markov Transition Matrices
Felix C. A. Auer, Robert Gaugl, Thomas Klatzer +2
Time series aggregation reduces the computational complexity of large-scale energy system optimization models, but maintaining chronological continuity between the resulting repres…
Hull Clustering with Blended Representative Periods for Energy System Optimization Models
Grigory Neustroev, Diego A. Tejada-Arango, German Morales-Espana +1
The growing integration of renewable energy sources into power systems requires planning models to account for not only demand variability but also fluctuations in renewable availa…
Discounting Approaches in Multi-Year Investment Modelling for Energy Systems
Ni Wang, Diego A. Tejada-Arango
This paper reviews discounting approaches for modeling multi-year energy investments, focusing on total versus annualised cost formulations. We discuss how time value of money is h…
Tight MILP Formulation for Pipeline Gas Flow with Linepack
T. Klatzer, S. Wogrin, D. A. Tejada-Arango +1
In integrated power and gas energy system optimization models (ESOMs), pipeline gas transmission with linepack is a particularly complex problem due to its non-linear and non-conve…
TulipaProfileFitting.jl: A Julia package for fitting renewable energy time series profiles
Diego A. Tejada-Arango, Germán Morales-España, Abel S. Siqueira +1
This paper introduces the TulipaProfileFitting.jl package, a tool developed in Julia for generating renewable energy profiles that fit a specified capacity factor. It addresses the…
Impact of large-scale hydrogen electrification and retrofitting of natural gas infrastructure on the European power system
Germán Morales-España, Ricardo Hernández-Serna, Diego A. Tejada-Arango +1
In this paper, we aim to analyse the impact of hydrogen production decarbonisation and electrification scenarios on the infrastructure development, generation mix, emissio…