Uncertainty analysis of operational conditions in selective artificial ground freezing applications

Artificial ground freezing (AGF) systems are susceptible to uncertain parameters highly affecting their performance. Particularly, selective artificial (S-AGF) involve several operational conditions. In this study, uncertainty analysis is conducted investigate four parameters: 1) coolant inlet temperature, 2) flow rate, 3) pipes emissivity, and 4) eccentricity. A reduced-order model developed validated in our previous work for field-scale applications exploited simulate a total of 5,000 cases. The set according Monte Carlo based on field observations freeze-pipe the mining industry extending 460 m below surface. results indicate that time can range between 270 350 days with an average 310 days, whereas cooling load per one ranges from 90 160 MWh, 129 MWh. Furthermore, it observed energy consumed mostly dominated by while dissipated passive zone (where not needed) affected emissivity. Overall, conclusions study provide useful estimations engineers practitioners AGF industry.