The increasing demand for efficient and sustainable energy storage systems poses various challenges for planners and decision makers of existing or new battery production facilities. For example, the environmental and economic impacts of adjustments to established processes or the integration of new battery concepts must be assessed continuously and iteratively. The dry room is in particular focus here. It conditions the air depending on the products, systems, workers and leaks in the dry room. This can require enormous amounts of energy in order to meet the strict requirements with a focus on humidity. The operating costs and environmental impact must therefore be assessed for reduction potential. This can be achieved by using a dry room model, which allows to relate the dynamic states of the simulation and the correspondingly varying required power to each other. Such a model has been developed as part of this work. It calculates the power required by the individual dry room components to change the main air conditions temperature and humidity. The developed model is validated on three real dry room systems and then investigated how, for example, occupancy, machine exhaust air or ambient air conditions affect the overall power demand and thus the energy demand and operating costs. The results show the various influences of the control variables as well as potential energy savings of 78.23% under certain boundary conditions. Further, an examination of economic and environmental impacts due to a variation in energy sources shows beneficial results in utilizing component specific energy sources.
Buck et al. (Sun,) studied this question.