Process Integration of Heat Pump Storage Systems Using Time- Resolved Data
This study explores the use of time-resolved process data to support the design of flexible and efficient industrial heat pump systems. Building concepts from dynamic process integration, such as Dynamic Pinch Analysis, the work proposes a method to quantify the flexibility requirements for heat pump operation under varying process conditions. In addition to informing operational strategies, the time-resolved data are shown to be valuable for the design of heat pump storage systems. A typical configuration includes thermal storage tanks on both the source and sink sides, allowing the system to buffer fluctuations in heat availability and demand. By stabilizing the source temperature, storage improves heat pump efficiency, increases heat coverage, and raises the degree of electrification. The presented approach outlines how time-resolved data and mathematical optimization can guide the sizing and integration of such systems to enhance both energy and economic performance in industrial electrification strategies. The methodology was applied to an automotive paint shop process showing large potential by reducing operational expenditures by 27.4 %.