*Low-temperature Technologies*


calculations reported in this study were simultaneously compared and validated against the temperature gradient data gathered from a salinity gradient solar pond constructed as aforementioned. The solar pond of interest was constructed with the

*Solar Pond Driven Air Conditioning Using Seawater Bitterns and MgCl2 as the Desiccant Source*

**Month Ti6 Ti7 Ti8 Ti9 Ti10** January 31.68 33.61 35.71 38.08 40.80 February 37.42 40.17 43.08 46.24 49.74 March 42.08 45.20 48.48 52.02 55.92 April 47.95 51.35 54.96 58.89 63.24 May 54.82 58.59 62.62 67.02 71.86 June 58.69 62.71 66.99 71.63 76.72 July 59.02 62.84 66.90 71.28 76.06 August 57.79 61.39 65.19 69.30 73.79 September 54.32 57.66 61.18 64.95 69.07 October 48.92 51.93 55.07 58.40 62.02 November 42.60 45.24 47.96 50.83 53.92 December 37.49 39.96 42.48 45.13 47.98

*Calculated temperatures of the lower half of the middle (NCZ) layer of the salinity gradient solar pond,*

*The dimension of the side view (top) and front view (bottom) of the salinity gradient solar pond used for empirical validation of the developed calculation model. The dimensions detailed were used to produce the*

*thermal predictions for the salinity gradient zones of the pond.*

dimensions shown in **Figure 3**.

*DOI: http://dx.doi.org/10.5772/intechopen.89632*

**Table 4.**

**Figure 3**

**51**

*divided into 10 sub-layers.*

### **Table 2.**

*Calculated temperatures of the top (UCZ) and bottom (LCZ) layers.*


#### **Table 3.**

*Calculated temperatures of the upper half of the middle (NCZ) layer of the salinity gradient solar pond, divided into 10 sub-layers.*

loses heat to the layers immediately below and above dissimilarly. A solar pond operating in the geographical area of interest is predicted to reach a maximum temperature of approximately 79.5°C in the summer months with lows of 40°C in the winter. **Tables 2–4** show the diverse temperatures expected with the months of the year based on the energy balance models discussed in the previous section.
