CSI aims to advance understanding of the impacts of the urban underground on the subsurface temperature increase at the city scale. In this research, high-performance computing (HPC) based city-scale underground climate change simulator is developed. To calibrate and validate the numerical model, a new underground weather station that consists of distributed fiber optic temperature sensor and fiber brag grating-based pore pressure sensor is developed. The main scientific deliverable is a series of archetype emulators, defined based on the geological characteristics, above-ground built environment, and the density and type of underground structures. This allows transferring the methodology to any other area with similar characteristics, enabling sustainable development of underground structures in urban areas and facilitating efficient utilization of geothermal resources for heating and cooling purposes.
Collaborator: National Science Foundation (NSF)
Researchers: Zhenxiang Su, Kecheng Chen, Matt DeJong, Jiahui Yang (UC Berkeley)
Domains: Energy Systems
Capabilities: Distributed Fiber Optic Sensing (DFOS) – Distributed Temperature Sensing (DTS), Numerical Modeling/Simulations