Energies, Год журнала: 2025, Номер 18(7), С. 1612 - 1612

Опубликована: Март 24, 2025

Amidst the escalating global challenges presented by climate change, carbon trading mechanisms have become critical tools for driving reductions in emissions and optimizing energy systems. However, existing models, constrained fixed settlement cycles, face difficulties addressing scheduling needs of systems that operate across multiple time scales. To address this challenge, paper proposes an optimal methodology hydrogen-encompassing integrated incorporates a multi-time-scale mechanism. The proposed approach dynamically optimizes conversion hydrogen energy, electricity, thermal other forms flexibly adjusting cycle. It accounts fluctuations demand occurring both before during operational day. In day-ahead phase, tiered transaction cost model is employed to optimize initial framework. During day real-time data are utilized adjust quotas emission ranges, further refining system’s strategy. Through analysis typical case studies, method demonstrates significant benefits reducing costs, enhancing efficiency, improving system flexibility.

Язык: Английский