New Framework-Optimizing the Economic Value of Lithium-ion Batteries

Renewable energy systems with zero carbon emissions or low carbon emissions require on-demand energy storage such as lithium-ion batteries. However, the deterioration of these batteries is a major operational and economic problem.

In a new document, "Electrochemical energy storage Management for Intertemporal Decision Frames," published in Natural Energy, researchers at Carnegie Mellon University and Tsinghua University proposed a new framework that solved lithium ion degradation of batteries. Also known as electrochemical energy storage (EES). They do this by deriving, implementing, and optimizing new indicators.

Researchers at Carnegie Mellon University GuannHe, Panayiotis Moutis, Soummya Kar and JayWhitacre collaborated with Qiqichen of Tsinghua University. Part of the work was carried out at the CMU's Wilton E. Scott Energy Innovation Institute.

"The cost of lithium-ion batteries has dropped sharply in recent years, and these batteries, especially those that are less expensive, have fallen with use and are now being considered for very large grid-connected energy storage devices," Whitacre said. Professor of Energy, Faculty of Engineering and Director of Scott Institute. "In order to obtain the best economic benefits from the system, a precise planning and operational decision tool are needed to correctly assess and solve battery failures as a function for many years. "

He said: "Developing a comprehensive and rigorous approach that can best evaluate under different decision perspectives? What? And manage EES degradation, which is necessary to reduce the risk of value loss due to improper EES degradation. Students in the Department of Engineering and Public Policy.

The author puts forward two indexes of battery operation and planning decision: marginal revenue from use and average revenue from use. The marginal benefits used provide long-term information for short-term decisions and are demonstrated in the paper to maximize life-cycle benefits in making short-term decisions.

The researchers conducted two case studies and reported that the proposed framework could increase the life cycle value of EES by more than 30 times compared to the widely used general battery scheduling method.

The page contains the contents of the machine translation.