Volume 49

Design and selection of working fluid for Rankine-based Carnot battery based on the group contribution method Hongna Qiao, Xiaohui Yu

Abstract

Recently, Carnot batteries, as an emerging electrical energy storage technology, are expected to solve the renewable electrical energy storage challenges faced globally. The selection of the working fluid is crucial to improving the system performance; however, the selection of existing working fluids is limited to a predefined database, and this approach does not allow for the design and discovery of novel working fluids. Therefore, in this paper, a model-based group contribution method for cross-scale preferential selection of working fluids was proposed for Rankine-based Carnot batteries. The result shows that the absolute average relative deviation of power-to-power efficiency, coefficient of performance, and power generation efficiency are 8.5%, 5.9%, and 2.6%, respectively.

Keywords Rankine-based Carnot battery, Group contribution method, Screening of working fluid