Session Ⅰ- Low Carbon Operation and Planning of Integrated Energy Systems: Development and Challenges（DDL: 2024.10.15）
Chair: Prof. Boyu Qin, Xi'an Jiaotong University, China
Keywords:
·Low-carbon planning
·Optimal scheduling
·Multi-energy integration
·Renewable energy
·Flexible resources
Summary:
The imperative for transitioning to low-carbon energy systems is propelled by climate change concerns and the rapid expansion of power demands. Integrated energy systems, incorporating various distributed energy resources, renewable energy systems, and energy storage systems, emerge as essential technical pathways to ensure supply-demand alignment and optimize operations within the evolving energy system paradigm.
However, current research on the low carbon operation and planning of integrated energy systems faces numerous technical hurdles. Market-oriented operation and business models need further refinement, hindering the comprehensive exploration and utilization of the potential inherent in multiple flexible resources. Furthermore, the integration of various energy types such as thermal energy, natural gas, and hydrogen holds promise for enhancing flexibility and improving benefits within integrated energy systems.
This special session aims to serve as a platform for researchers and engineers worldwide to share innovative ideas concerning the low carbon operation and planning of integrated energy systems. Additionally, it seeks to highlight the latest research advancements in the development of fundamental models and explore the role of heterogeneous energy in shaping the future of integrated energy systems.
Topics:
·Techno-economic analyses for the low carbon transition in integrated energy systems
·Heterogeneous energy networks construction and modeling technology
·Optimal operation and planning of integrated energy systems
·Advanced decarbonization techniques and mechanisms in integrated energy systems
·Multi-level market trading technology for integrated energy systems
·Demand forecasting of multiple loads for integrated energy systems
·Reliability evaluation for integrated energy systems
·Advanced machine learning techniques and their innovative applications in integrated energy systems