Parameter measurement in multiphase flow environments has a wide range of applications in energy and power, petrochemicals and environmental engineering. However, due to the cost of deploying a large number of sensors, traditional physical measurements can only obtain local or cross-sectional average information of measured parameter, making it difficult to restore parameter information of the entire space in real time. The digital twin technology has brought new possibilities for breaking through this issue. By combining real‑time sensor data and high‑performance simulation, a model capable of real‑time response and dynamic evolution is expected to obtain richer real-time information by a smaller number of sensors. Currently, to achieve real-time or ultra-real-time response, breakthroughs in the development of multiphysics modelling, reduced-order model (ROM) and high-performance multiphase flow calculations are needed. Another challenge lies in the method of effectively integrating measurement data from sparse sensors with model prediction results to correct model bias and enhance prediction accuracy.
This special session will focus on measurement mechanisms and methods for various parameters of continuous and discrete phases in multiphase flow environments, applications of dynamic evolution and digital twin technology in measuring, as well as physical and mathematical modeling and analysis. By discussion on relative topics, this special session will provide support in exploring microscopic mechanism of multiphase flow and realizing low‑cost real‑time multiphase flow measurement in engineering.