TY - GEN
T1 - Linking Energy System Models
T2 - Exploring analyses, methodologies, and theoretical dilemmas
AU - Chang, Miguel
N1 - PhD supervisor:
Prof. Henrik Lund, Aalborg University
Assistant PhD supervisor:
Associate Prof. Jakob Zinck Thellufsen, Aalborg University
PY - 2023
Y1 - 2023
N2 - Energy system models (ESMs) can serve as valuable tools for representing the energy system and gain insight about the energy transition. In recent years, the analyses conducted with such tools have grown in scope and complexity, leading to more integration of tools across a range of modelling paradigms and disciplines. In this context, this thesis explores the emerging practice of model coupling with ESMs (i.e., linking ESMs together with other tools), discussing its implications from a theoretical, methodological, and analytical perspective. On a theoretical level, aligning domains and models is found to be beneficial to get a broad range of answers from different perspectives, yet – given the context of climate change – this must be managed with urgency by applying purpose-driven model coupling configurations. From a methodological and analytical perspective, the studies presented in this thesis show that extra modeling effort and complexity compound with the increased resolution provided by model coupling. Nonetheless, these applied studies show that model coupling can provide complementary perspectives on the transition of a national energy system, taking Chile as a case.
AB - Energy system models (ESMs) can serve as valuable tools for representing the energy system and gain insight about the energy transition. In recent years, the analyses conducted with such tools have grown in scope and complexity, leading to more integration of tools across a range of modelling paradigms and disciplines. In this context, this thesis explores the emerging practice of model coupling with ESMs (i.e., linking ESMs together with other tools), discussing its implications from a theoretical, methodological, and analytical perspective. On a theoretical level, aligning domains and models is found to be beneficial to get a broad range of answers from different perspectives, yet – given the context of climate change – this must be managed with urgency by applying purpose-driven model coupling configurations. From a methodological and analytical perspective, the studies presented in this thesis show that extra modeling effort and complexity compound with the increased resolution provided by model coupling. Nonetheless, these applied studies show that model coupling can provide complementary perspectives on the transition of a national energy system, taking Chile as a case.
KW - energy system analysis
KW - energy systems modelling
KW - model coupling
KW - smart energy systems
U2 - 10.54337/aau528189864
DO - 10.54337/aau528189864
M3 - PhD thesis
T3 - Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet
PB - Aalborg Universitetsforlag
ER -