This Quantum & High-Performance Computing for Energy session explores the use of quantum computing and high-performance computing (HPC) to solve complex energy problems. Topics include quantum algorithms for optimization of power systems, energy markets, and logistics, as well as quantum simulations for materials and catalysis. HPC applications may involve large-scale grid simulations, reservoir modeling, climate–energy interactions, and computational fluid dynamics for energy devices. The session welcomes work comparing classical and quantum approaches, hybrid algorithms, and error mitigation strategies. Case studies from pilot projects or collaborations between computing centers and energy stakeholders that demonstrate performance or accuracy gains are particularly encouraged.
Title : The autonomy curve: The impact of ai on energy systems
Scott Kelly, University of Cambridge, United Kingdom
Title : Energy performance of world’s first vacuum insulated heatable curtain for realistic energy-loss reduction with mild radiant heating
Saim Memon, Sanyou London Pvt Ltd, United Kingdom
Title : Transforming waste plastic into renewable hydrogen: A review of progress, challenges, and future directions through pyrolysis, distillation, and hydrotreatment process
Nur Hassan, Central Queensland University, Australia
Title : Why should nature be conserved
Dai Yeun Jeong, Asia Climate Change Education Center, Korea, Republic of
Title : Inclusive energy transition through productive small-scale mobility: Natural gas and LPG solutions for two- and three-wheel transport
Deinar Agudelo Ortiz, Natural Motos sas, Colombia
Title : Micro grid of power electronics, renewable energy storage, and collaboration opportunities
Mustafa Ergin Sahin, RTE University, Turkey