Leisen, Robin; Radek, Julian; Weber, Christoph:
Modeling combined-cycle power plants in a detailed electricity market model
In: Energy : The international journal, Band 298 (2024), Artikel 131246
2024Artikel/Aufsatz in ZeitschriftOA Hybrid
WirtschaftswissenschaftenFakultät für Wirtschaftswissenschaften » Fachgebiet Betriebswirtschaftslehre » Energiewirtschaft
Damit verbunden: 1 Publikation(en)
Titel in Englisch:
Modeling combined-cycle power plants in a detailed electricity market model
Autor*in:
Leisen, RobinUDE
LSF ID
58523
Sonstiges
der Hochschule zugeordnete*r Autor*in
korrespondierende*r Autor*in
;
Radek, JulianUDE
LSF ID
59675
Sonstiges
der Hochschule zugeordnete*r Autor*in
;
Weber, ChristophUDE
GND
171222180
LSF ID
12106
ORCID
0000-0003-0197-7991ORCID iD
Sonstiges
der Hochschule zugeordnete*r Autor*in
Erscheinungsjahr:
2024
Open Access?:
OA Hybrid
Scopus ID
Sprache des Textes:
Englisch
Schlagwort, Thema:
Combined-cycle gas turbine (CCGT) ; Electricity market modeling ; Mixed-integer (linear) programming ; Optimization ; Power plant modeling ; Unit commitment
Ressourcentyp:
Text

Abstract in Englisch:

The efficiency and flexibility of combined-cycle gas turbines (CCGT) are gaining importance in view of more decarbonized energy systems. Therefore, an adequate representation of CCGTs in large-scale energy system models is required. When modeling large-scale energy systems, a trade-off between detailed representation of the technical restrictions and reasonable computing times emerges because of limited computing capacities. We present an approach that accounts for the operational dependencies between the gas and steam turbines of a CCGT but remains applicable in large-scale market models. Duct burners and bypasses that enable the solo operation of steam or gas turbines are also modeled. We implement our approach using the well-established Joint Market Model and apply it in a case study of the German electricity system in 2040. Our modeling approach captures more detailed operation modes, while increases in computation time remain limited. Thus, the approach is advantageous when turbine-wise modeling and analysis of CCGTs is required, e.g. for a detailed analysis of start-ups and operations. The results show no substantial differences between the aggregated market results of five cases investigated. The consideration of bypasses and duct burners yet leads to higher contribution margins for individual CCGTs – with stronger effects observed for more efficient groups.