5 papers
Physics-based Digital Twins for Integrated Thermal Energy Systems Using Active Learning
Umme Mahbuba Nabila, Paul Seurin, Linyu Lin +1
Real-time supervisory control of thermal energy distribution systems requires digital twins that are accurate, interpretable, and uncertainty-aware, yet remain data and computation…
MAEO: Multiobjective Animorphic Ensemble Optimization for Scalable Large-scale Engineering Applications
Omer F. Erdem, Dean Price, Paul Seurin +1
Multiobjective optimization remains challenging for many scientific and engineering problems due to the need to balance convergence, diversity, and computational efficiency across…
Techno-economic optimization of a heat-pipe microreactor, part II: multi-objective optimization analysis
Paul Seurin, Dean Price
Heat-pipe microreactors (HPMRs) are compact and transportable nuclear power systems exhibiting inherent safety, well-suited for deployment in remote regions where access is limited…
Techno-economic optimization of a heat-pipe microreactor, part I: theory and cost optimization
Paul Seurin, Dean Price, Luis Nunez
Microreactors, particularly heat-pipe microreactors (HPMRs), are compact, transportable, self-regulated power systems well-suited for access-challenged remote areas where costly fo…
Adaptive Control for a Physics-Informed Model of a Thermal Energy Distribution System: Qualitative Analysis
Paul Seurin, Auradha Annaswamy, Linyu Lin
Integrated energy systems (IES) are complex heterogeneous architectures that typically encompass power sources, hydrogen electrolyzers, energy storage, and heat exchangers. This in…