Assumptions
- Air in soil is a poor conductor. (It reduces the efficiency of solid and liquid phases to conduct heat)
- Solid phase has the highest conductivity. (Variability of solid moisture that largely determines thermal conductivity)
- Variation in temperature properties are high at the surface and reduces as depth increases
- Thermal log
- Extensive field measurements conducted at various locations in U.S reveals temperature below 6feet remains constant. Ref: [Kusuda and Achenkach(1965)]
- According to a model developed by Bansal et al(1985), annual soil temperature in New Delhi, India at 4m depth remains relatively constant for various soil properties and various surface conditions. [Based on the same analysis, constant temperature at 4m depth can be 17C for wet shady surfaces to 52C for dry glazed surface under the same climate.]
- But in order to calculate the outlet air temperature we need to find out the Convective heat transfer coefficient. This can be done by validation of experimental data(of similar projects). Validation also helps to know the accuracy of the CFD result
Based on the above assumptions CFD simulation was carried out to optimize the efficiency of the ETAHE. The parametric study also helped in relating parameters.
Optimization of boiler
- The objective of this project is to increase the efficiency of a fire tube boiler.
- CFD simulation has been done to optimize the location of the fire tubes in the boiler.