A STUDY BASED ON THERMAL ENERGY STORAGE ANALYSIS WITH HEAT AND PHASE CHANGE MATERIALS
Ashish Kumar Kashyap
Research Scholar, Bhabha Engineering Research Institute, Bhopal (M.P) Vijay Kant Pandey
Bhabha Engineering Research Institute, Bhopal (M.P)
Abstract- Sun oriented warm advancements are promising innovations, given the way that sun powered energy is the least expensive and generally broadly accessible of all environmentally friendly power innovations. The new advancement of sun based energy for different applications has gotten significant consideration from scientists, to work on the general effectiveness of different sun powered warm frameworks. Warm capacity frameworks are fundamental to beat the hindrance of the irregular idea of sun powered energy. One of the techniques to use sun powered energy successfully is the coordination of a profoundly proficient to see the framework. Which ought to improve the capacity ability to make the framework reasonable for ceaseless use.
1 SOLAR ENERGY AND THERMAL ENERGY STORAGE
Sun based energy is the energy that is delivered by the sun as intensity and light. It is one of the most sustainable and promptly accessible wellsprings of energy.
The way that it is accessible in bounty and free and doesn't have a place with anyone makes it one of the most significant of the non-customary wellsprings of energy.
The sun transmits energy at a pace of 3.8 x 1023 kW, of which, roughly 1.8 x 1014 kW is gathered by the earth.
Just 60% of this sum arrives at the world's surface. The other 40% is reflected back and consumed by the climate.
Besides, the all out yearly sun powered radiation falling on the earth is in excess of multiple times of the world's all out yearly essential energy utilization.
Predominantly, sun powered energy can be utilized to change over it into heat energy or it very well may be changed over into power. Sun based energy c& be changed over into power through sun oriented nuclear power and photovoltaic. Then again. Sun based heat energy can be utilized to warm water or space warming and can be extensively classified as dynamic or detached sun powered energy relying upon how they are caught and used. In dynamic sun oriented energy exceptional sun powered warming gear is utilized to switch sun based energy over completely to warm energy though in latent sunlight based energy the mechanical hardware is absent. Dynamic sun powered incorporate
the utilization of mechanical hardware like sun based warm authorities, photovoltaic cells and fans to trap the sun oriented energy.
2 RESEARCH GAPS
From the literature review the following research gaps are identified in the area of thermal energy storage.
Little work has been reported on heat storage materials and capsule shapes
Experimental studies were carried on fraction of TES conversions and heat transfer analysis
Limited work has been done on parametric optimization of thermal energy storage systems
Limited work has been reported on combined use of LHS and SHS storage materials
3. IMPORTANT PROPERTIES OF THERMAL ENERGY STORAGE MATERIALS
The properties considered while selecrion of materials are dissolving point, dormant intensity of combination, warm conductivity explicit intensity and thickness. The expected properties of Sensible Heat Storage (SHS) and Latent Heat Storage (LHS) are given in the accompanying.
i. Melting point
It demonstrates the temperature at a
point past which stage change of the
material beginnings for example material
beginnings changing over from strong state to fluid state.
ii. Latent heat of fusion
The dormant intensity is how much intensity move expected to cause a stage change in unit mass of a substance at a consistent strain and temperature. There are three stages in which matter can exist: strong, fluid, fume or gas. The dormant intensity of combination is how much intensity moved to liquefy unit mass of strong into fluid, or to freeze unit mass of fluid to strong.
4 TANK TYPE THERMAL ENERGY STORAGE SYSTEM (TTTESS)
The trial arrangement of tank type nuclear power stockpiling framework is displayed. Nuclear power stockpiling tank which has a limit of 10 liters and contains cases (round and hollow/circular/square) is protected with glass fleece of 50 rnrn thick. The containers of various shapes are consistently stuffed in the capacity tank for various trials. The aluminum powder is utilized as reasonable intensity stockpiling and paraffin wax is utilized as dormant intensity stockpiling which is chosen as best materials (Chapter3). High temp water is provided from sun oriented allegorical authority and is utilized as both reasonable intensity stockpiling and inert intensity stockpiling material. A stream merchant is given on the highest point of the tank to make uniform progression of heated water (HTF).
A stream meter with an exactness of *2% is utilized to gauge the stream pace of HTF for various tap openings. Two computerized thermometers are put over the nuclear power stockpiling tank to gauge the temperatures of boiling water (HTF) and heat capacity material inside the container.
5 CFD ANALYSIS PROCEDURE
The accompanying method is followed for the CFD investigation of the nuclear power stockpiling tank.
Foster CAD model of the TES tank utilizing strong works programming.
Use ANSYS FLUENT programming for lattice of CAD model.
Allocate fitting solver settings for examination.
Characterize the essential limit conditions for the CFD concentrate
on in view of exploratory information.
Mimic the model with CFD and contrast reproduced temperature readings and exploratory.
6 CHARGING PROCESS IN TTTESS AND PTTESS
Plots are drawn for every one of the 18 exploratory has between charging fever and charging time for both tank type nuclear power stockpiling framework and pit type nuclear power stockpiling frameworks to look at their presentation.
From plots, it is uncovered that pit type nuclear power stockpiling framework shows better execution contrasted with tank type nuclear power stockpiling framework as it has lower charging time.
Table 6.1 Time and temperature values for experimental run 1
Figure 6.1 Comparison of charging times obtained from experiment
(ITIESS) and CFD analysis
Table 6.2 Time and temperature values for experimental run 2
Figure 6.2 Plot between time and temperature values for experimental
run 2
Table 6.3 Time and temperature values for experimental run 3
Figure 6.3 Plot between time and temperature values for experimental
run 3
Table 6.4 Time and temperature values for experimental run 4
Figure 6.4 Plot between time and temperature values for experimental
run 4
6.1 Discharging Process in TTTES and PTTES
Plots are drawn fix all I8 cxpcrimrmtal has between releasing fever and releasing time for both tank type nuclear power stockpiling framework and pit type nuclear power stockpiling frameworks to analyze their exhibition. From plots, it is uncovered that pit type nuclear power stockpiling framework shows better execution contrasted with tank type nuclear power stockpiling framework as it has higher release time.
Table 6.5 Time and temperature values
for experimental run 1
Figure 6.5 Plot between time and temperature values for experimental
run 1
Table 6.6 Time and temperature values for experimental run 2
Figure 6.6 Plot between time and temperature values for experimental
run
6.2 Charging Times of 'ITTESS and PITESS
The consolidated data table (Table 6.7) is prepared for the charging times of tank type thermal energy storage system and pit type thd energy storage system.
Table 6.7 Charging times of TTTES and PTTES
Figure 6.7 Experimental run vs.
Charging time of TTTESS and PTTESS The plot (Figure 6.7) drawn between charging time and exploratory run. From this plot, it is uncovered that pit type nuclear power stockpiling framework has lower charging times contrasted with tank type nuclear power stockpiling framework. Thus pit type nuclear power stockpiling framework shows better execution by quicker heat abs won.
6.3 Discharging Times of TTTESS AND PTTESS
The consolidated data table (Table 6.8) is
prepared for the discharging times of tank
typc thermal energy storage system and
pit type thermal energy storage.
Table 6.8 Discharging times of TTESS and PITESS
Figure 6.8 Experimental mu vs discharging time of TTTESS and
PTTESS
The plot (Figure 6.8) drawn between releasing time and exploratory run. From this plot, it is uncovered that pit type thcnnal energy capacity framework has higher releasing time contrasted with tank type warm entry stockpiling framework. Consequently platypus nuclear power stockpiling framework shows better execution for preserving cap for longer period.
6.4 Comparison of Charging Times and Discharging Times Obtained from Experiments and CFD Analysis
The charging times and releasing seasons of tank type nuclear power stockpiling framework is contrasted and CFD reenactment results they matched intently. Consequently CFD reenactments are more valuable to assess the presentation of nuclear power stockpiling without conducbng tests.
Table 6.9 Charging times obtained from experiments and CFD analysis
Figure 6.9 Comparison of charging times obtained from experiment
(ITIESS) and CFD analysis 7 CONCLUSIONS
The exploratory information got from tank type thernlal energy capacity framework (TTTESS), pit type nuclear power stockpiling framework (PT7'ESS) are dissected utilizing Fuzzy rationale and ideal blend of nuclear power stockpiling framework boundaries is recognized. The tank type nuclear power stockpiling framework is displayed involving CFD programming of ANSYS for the ideal boundaries acquired from Fuzzy rationale.
7.1 Limitations
Steady mass of PCM is utilized in containers.
Upkeep of pit type nuclear power stockpiling framework is difficult during stormy seasons.
7.2 Scope for Future Work
Despite the fact that great outcomes acquired from this work, still there is degree for additional augmentation in the accompanying headings.
Directing analyses with different
materials which are not viewed as in
the current work.
Concentrate on the presentation of the stockpiling framework by differing the area and the mass of the PCM in the capacity tank.
Stretching out this procedure to squander heat recuperation frameworks.
Examine the presentation of the stockpiling frameworks of various designs for various info conditions utilizing CFD.
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