Demand Response and Trading of Energy-Intensive Industries

With the continuous growth in energy demand and the rapid development of renewable energy, load regulation has become a crucial means of balancing supply and demand and enhancing power grid reliability. Energy-intensive industries, due to their large power consumption and flexible production processes, have significant advantages in load regulation. Through intelligent control methods, these industrial loads can dynamically adjust according to the needs of the power system, thereby reducing peak loads and increasing the utilization of off-peak loads. This not only helps improve energy efficiency and reduce energy costs but also facilitates the integration of renewable energy, contributing to global energy transition and low-carbon development goals. In recent years, achieving energy conservation, carbon reduction, and coordinated supply-demand interaction in energy-intensive industries is important. During process design and energy-saving retrofits, insufficient consideration is given to variable operating conditions triggered by supply-demand interactions, which can lead to issues such as safety risks and reduced energy efficiency. Furthermore, the lack of fully coordinated grid-load interaction technology limits the full release of their significant regulation potential. Additionally, the absence of effective market mechanisms and incentive measures results in low participation willingness from enterprises in supply-demand interactions. To effectively resolve these conflicts, breakthroughs are urgently needed in four areas: modeling and adjustable capacity prediction for energy-intensive industries, energy-carbon efficiency co-optimization, multi-timescale supply-demand interaction, and electricity-carbon collaborative incentive mechanisms. In this special session, our main objective is to share the latest research findings and innovative ideas in areas such as grid-load interaction technology and market transaction strategies for energy-intensive industrial loads.

Organizers
Rufeng Zhang, Northeast Electric Power University, China