Abstract
This research presents an improved design of a solar adsorption refrigeration system with certain specifications and requirements. In the traditional simulation of the performance of the solar adsorption refrigeration, the constant permeability and thermal conductivity were always selected for the establishment for the mathematic model. Latest research revealed that the permeability and thermal conductivity vary appreciably in the processes of adsorption and desorption, which indicates the consequential adsorption refrigeration performance will likewise be affected. The varying permeability and thermal conductivity in the CaCl2 and BaCl2 adsorption processes were tested, and the two-stage adsorption refrigeration system using CaCl2–BaCl2–NH3 as working pair was simulated to evaluate the effect of varying adsorbents’ permeability and thermal conductivity on the refrigeration system adsorption performance. The variable thermal conductivity and permeability simulation findings are compared to the constant thermal conductivity and permeability simulation results, as well as the experimental data. According to the results obtained, the greatest relative error between the simulation result with variable characteristics and the actual result is 8.3% for cooling capacity, 9.1% for SCP and 12% for COP, while the maximum relative error between the simulation result with constant properties and the experimental result is as high as 41.4% for cooling capacity, 42.8% for SCP and 36% for COP. This finding shows that variable characteristics have a major impact on simulation results and should be explored first before developing mathematical models for chemical and solar adsorption refrigeration systems.
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Abbreviations
- c :
-
specific heat (kJ/(kg K))
- COP :
-
coefficient of performance
- D :
-
finned tube diameter (mm)
- d :
-
finned tube base tube diameter (mm)
- F :
-
heat transfer area (mm2)
- h :
-
heat transfer coefficient (W/(m2 K))
- K :
-
heat transfer coefficient (W/(m2 K))
- L :
-
adsorbent bed axial Length (m)
- M MTS :
-
mass of middle temperature salt
- m :
-
mass (kg)
- n :
-
numbers of tube
- P :
-
pressure (Pa)
- Q :
-
power (W)
- q :
-
water mass flow (kg/s)
- R :
-
gas constant (J/kg K)
- r :
-
radius (m)
- SCP :
-
specific cooling power
- s :
-
fin thickness (mm)
- t :
-
time (s)
- T :
-
temperature (K)
- x :
-
adsorption rate (kg/kg)
- δ :
-
variable parameter
- Δx :
-
cycle adsorption quantity (kg/kg)
- ε :
-
the mass ratio of salts
- ε t :
-
porosity
- λ :
-
thermal conductivity (W/mK)
- ν :
-
fin spacing (mm)
- ρ :
-
density (kg/m3)
- ad:
-
adsorbent
- al:
-
aluminum
- am:
-
ammonia
- c:
-
cycle
- co:
-
cooling
- cond:
-
condenser
- de:
-
desorption
- e:
-
evaporation
- eq:
-
equilibrium state
- eff:
-
effective
- f:
-
working fluid
- g:
-
expand natural graphite
- LTS:
-
middle temperature salt
- lq:
-
liquid ammonia
- h:
-
heating
- in:
-
inlet
- MTS:
-
middle temperature salt
- l:
-
low temperature reactor
- m:
-
middle temperature reactor
- out:
-
outlet
- P:
-
permeability
- ref:
-
refrigeration
- s:
-
steel
- ref :
-
refrigeration
- w:
-
water
- y:
-
reaction process
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Abu-Hamdeh, N.H., Öztop, H.F. (2022). Performance of Solar Adsorption Refrigeration System: A case Study of a Two-Stage Freezing System with Varying Thermal Conductivity, Permeability of Adsorbents. In: Tripathi, D., Sharma, R.K., Öztop, H.F. (eds) Advancements in Nanotechnology for Energy and Environment. Advances in Sustainability Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-19-5201-2_8
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