From the 1 of 6 linked papers with an AI index.
6 papers
Connecting Representative Periods in Energy System Optimization Models using Markov Transition Matrices
Felix C. A. Auer, Robert Gaugl, Thomas Klatzer +2
The paper introduces a method that uses Markov transition matrices to probabilistically link representative periods in energy system optimization models, improving the accuracy of…
Machine Learning for Exact Time Series Aggregation in Generation Expansion Planning with Energy Storage
Jakub Rybka, Luca Santosuosso, Thomas Klatzer +1
This paper investigates a generation expansion planning (GEP) problem encompassing renewable, thermal, and storage technologies while simultaneously optimizing market participation…
Simplification Ad Absurdum? Revisiting Gas Flow Modeling for Integrated Energy System Planning
Thomas Klatzer, Yannick Werner, Sonja Wogrin
This paper analyzes the implications of simplified pipeline gas flow models for integrated energy system planning. A case study of an integrated power-hydrogen expansion planning p…
QGas: Interactive Gas Infrastructure Toolkit
Marco Quantschnig, Yannick Werner, Sonja Wogrin +1
Gas infrastructure datasets are essential inputs for energy system planning to support strategic decision-making toward decarbonization. However, relevant data are typically scatte…
Mapping Austria's Natural Gas and Hydrogen Infrastructure Plans
Marco Quantschnig, Yannick Werner, Thomas Klatzer +1
This paper presents a comprehensive, spatially disaggregated dataset of Austria's natural gas and hydrogen infrastructure towards 2040. The dataset covers the complete gas transmis…
Towards Exact Temporal Aggregation of Time-Coupled Energy Storage Models via Active Constraint Set Identification and Machine Learning
Thomas Klatzer, David Cardona-Vasquez, Luca Santosuosso +1
Time series aggregation (TSA) aims to construct temporally aggregated optimization models that accurately represent the output space of their full-scale counterparts while using a…