Performance Analysis of High Temperature Sensible
Heat Storage System during Charging and
Discharging cycles
By
Likhendra Prasad, Hakeem Niyas, P.Muthukumar
Department of Mechanical Engineering
IIT Guwahati

4th International Conference on Advances in Energy Research
IIT Bombay
Outline of Presentation
• Introduction

• Objectives of present work
• Thermal modelling

• Results and discussions
• Conclusions
12/10/2013

ICAER 2013

2
Potential of Renewable Energies
Global Primary Energy Consumption (GPEC)
Solar energy (1800
Wind energy (200
Biomass (20

GPEC)
GPEC)

GPEC)

Geothermal energy (10

GPEC)

Ocean energy (2

GPEC)

Hydro energy (1

GPEC)

Source: Nitsch, 2007
12/10/2013

ICAER 2013

3
Solar Power

Solar
Energy

12/10/2013

Solar
PV
Solar
Thermal

Solar
Cell
CSP
ICAER 2013

Solar
Power

4
Concentrating Solar Power (CSP)

(a) Parabolic Trough

(b) Linear Fresnel Reflector

(c) Parabolic Dish

(d) Solar Tower
Source: www.csp-world.com

12/10/2013

ICAER 2013

5
Solar thermal power plant with TES system
HTF

Steam

Superheater

Turbine
Solar

Boiler

TES
Field

Preheater

P

12/10/2013

ICAER 2013

P

Condenser

6
Thermal Energy Storage Methods
• Sensible Heat Storage (SHS) Q   s V C p s Tch ( J )
• Concrete, Cast steel, Concrete, etc.

• Latent Heat Storage (LHS)

Tm

T2

Q    s , pc m V C p s , pcm dT  l , pc m  H f g   l , pc m  C pl , pcm
T1

Tm

• Phase change material (PCM)

• Thermochemical Heat Storage (THS) - Reversible chemical reactions
• Metal Hydrides

12/10/2013

ICAER 2013

7

(J )
Materials for SHS
 Requirements of

SHS Materials

OperatingTemper

Specific heat

Thermal

ature (K)

(kJ/kg K)

conductivity

SHS materials
•

Large operating
temperature

(W/m K)
Reinforced concrete

673

1.00

1.5

2200

Silica fire bricks

973

1.00

1.5

1820

Solid NaCl

773

0.85

7

2160

Cast iron

673

0.56

37

7200

Cast steel

973

0.60

40

7800

•

High heat capacity

•

High thermal
conductivity

•

High Density

•

Stability

•

Low cost and availability

High thermal conductivity materials
Low cost and easily available materials
12/10/2013

ICAER 2013

8
Objectives of the present work
 To develop a 3-D thermal model for predicting the performances of SHS systems.
 To optimize the number of charging tubes in the storage bed based on charging
time.
 To predict the performance of SHS bed of high conductivity solid material (cast
steel) of capacity 50 MJ.

 To predict the performance of SHS bed of low conductivity solid material
(concrete) of capacity 50 MJ by incorporating the axial fins (copper) on charging
tube surfaces.
12/10/2013

ICAER 2013

9
Design and Optimization of SHS model

12/10/2013

ICAER 2013

10
Thermal modelling of SHS model
 Assumptions
• The inlet velocity profile of HTF is fully developed.
• SHSM is isotropic.
• The flow is considered as unsteady, laminar and
incompressible.
• Axial Conduction is negligible

 Governing Equations:


Physical model of SHS bed

Fluid flow: Continuity and N-S Eq.


. v  0



Dv
2
f
  P    v
Dt




12/10/2013

Heat transfer: Convection (solid- liquid interface)

Heat transfer: Conduction (solid)
ICAER 2013

Schematic of mathematical model 11
 ICs and BCs :

 Performance parameters
•

Charging / discharging time.

•

Energy stored / recovered

•

12/10/2013

Exergy efficiency

Q  s V C p s T ( J )

 Exergy 

Tch  T (t)
Tch  Tatm

ICAER 2013

12
Validation of SHS model

Fig.10 (a)

Input parameters for validation [4]
Sl.

Parameters

1

Density of concrete (kg/m3)

2200

2

Specific heat of concrete (J/kg K)

1000

3

Thermal conductivity of concrete (W/m K)

1, 2, 5

4

Diameter of the charging tube (m)

Values

0.02

5
12/10/2013

[31]

623

6

663

13
Flow and temperature variation of HTF inside the charging tube

12/10/2013

ICAER 2013

14
Heat Transfer into the cast steel bed during charging

12/10/2013

ICAER 2013

15
Results and Discussions - Charging

3650 s

683 s

62.39 MJ

Charging time of concrete and cast steel beds
12/10/2013

62.85 MJ

Energy storage rate of concrete and cast steel
ICAER 2013

beds

16
Results and Discussions - Charging

4493 s

3650 s

3379 s

Effect of HTF velocity on charging time of
12/10/2013

concrete bed

1400 s

683 s

430 s

Effect of HTF velocity on charging time of cast
ICAER 2013

steel bed

17
Results and Discussions - Charging

Axial Temperature variation of HTF during
12/10/2013

charging of concrete bed

Axial Temperature variation of HTF during
ICAER 2013

charging of cast steel bed

18
Results and Discussions - Discharging

7200 s
1820 s

59.78 MJ

Discharging time of concrete and cast steel beds
12/10/2013

62.75 MJ

Energy discharge rate of concrete and cast steel
beds

ICAER 2013

19
Results and Discussions - Discharging

Effect of HTF velocity on discharging time of

Effect of HTF velocity on discharging time of

concrete bed

cast steel bed

12/10/2013

ICAER 2013

20
Results and Discussions - Discharging

Axial Temperature variation of HTF during
12/10/2013

discharging of concrete bed

Axial Temperature variation of HTF during
ICAER 2013

discharging of cast steel bed

21
Results and Discussions

Exergy efficiency variation
12/10/2013

ICAER 2013

22
Conclusions
•

Thermal models for predicting the charging and discharging characteristics of SHS systems have been developed.

•

The number of charging tubes has been optimized based on the charging time of the SHS bed.

•

Heat transfer enhancement technique is implemented by adding fins on the outer surface of charging tubes.

•

The charging time and energy stored in the SHS bed are found to be 3650 s and 683 s, 62.39 MJ and 62.85 MJ for concrete
and cast steel respectively.

•

The predicted discharging time of SHS beds are 7200 s for concrete bed and 1850 s for the cast steel bed.

•

The energy discharged from the beds in their respective discharging times are found to be 59.78 MJ for concrete bed and
62.75 MJ for cast steel bed.

12/10/2013

ICAER 2013

23
References
[1]

Gil A., Medrano M., Martorell I. and Cabeza F. (2010) State of the art on high temperature thermal energy
storage for power generation. Part 1-Concepts, materials and modellization, Renewable and Sustainable Energy

Reviews, 14, pp. 31-55.
[2]

Khare S., Knight C., and McGarry S. (2013) Selection of materials for high temperature sensible energy
storage, Solar Energy Materials and Solar Cells, 115, pp. 114-122.

[3]

Sragovich, D. (1989) Transient analysis for designing and predicting operational performance of a high
temperature thermal energy storage system, Solar Energy, 43, pp. 7-16.

[4]

Tamme, R., Laing, D. and Steinmann, W. (2004) Advanced thermal energy storage technology for parabolic
trough, Journal of Solar Energy Engineering, 126, pp. 794-800.

12/10/2013

ICAER 2013

24
References
[5]

Laing, D., Steinmann, W., Tamme, R. and Richter, C. (2006) Solid media thermal storage for parabolic trough
power plants, Solar Energy, 86, pp. 1283-1289.

[6]

Nandi, B.R., Bandyopadhyay, S. and Banerjee, R. (2012) Analysis of high temperature thermal energy storage for solar
power plant, Proceedings of the 3rd IEEE International Conference on Sustainable Energy Technology, pp. 438-444.

[7]

John, E.E., Hale, W. M. and Selvam, R. P. (2011) Development of a high-performance concrete to store thermal
energy for concentrating solar power plants, Proceedings of the 5th ASME International Conference on Energy
Sustainability, pp. 523-529.

[8]

Tian, Y. and Zhao, C.Y. (2013) A review of solar collectors and thermal energy storage in solar thermal
applications, Applied Energy, 104, pp. 538-553.

12/10/2013

ICAER 2013

25
THANK YOU

12/10/2013

ICAER 2013

26

278 icaer 2013 revised

  • 1.
    Performance Analysis ofHigh Temperature Sensible Heat Storage System during Charging and Discharging cycles By Likhendra Prasad, Hakeem Niyas, P.Muthukumar Department of Mechanical Engineering IIT Guwahati 4th International Conference on Advances in Energy Research IIT Bombay
  • 2.
    Outline of Presentation •Introduction • Objectives of present work • Thermal modelling • Results and discussions • Conclusions 12/10/2013 ICAER 2013 2
  • 3.
    Potential of RenewableEnergies Global Primary Energy Consumption (GPEC) Solar energy (1800 Wind energy (200 Biomass (20 GPEC) GPEC) GPEC) Geothermal energy (10 GPEC) Ocean energy (2 GPEC) Hydro energy (1 GPEC) Source: Nitsch, 2007 12/10/2013 ICAER 2013 3
  • 4.
  • 5.
    Concentrating Solar Power(CSP) (a) Parabolic Trough (b) Linear Fresnel Reflector (c) Parabolic Dish (d) Solar Tower Source: www.csp-world.com 12/10/2013 ICAER 2013 5
  • 6.
    Solar thermal powerplant with TES system HTF Steam Superheater Turbine Solar Boiler TES Field Preheater P 12/10/2013 ICAER 2013 P Condenser 6
  • 7.
    Thermal Energy StorageMethods • Sensible Heat Storage (SHS) Q   s V C p s Tch ( J ) • Concrete, Cast steel, Concrete, etc. • Latent Heat Storage (LHS) Tm T2 Q    s , pc m V C p s , pcm dT  l , pc m  H f g   l , pc m  C pl , pcm T1 Tm • Phase change material (PCM) • Thermochemical Heat Storage (THS) - Reversible chemical reactions • Metal Hydrides 12/10/2013 ICAER 2013 7 (J )
  • 8.
    Materials for SHS Requirements of SHS Materials OperatingTemper Specific heat Thermal ature (K) (kJ/kg K) conductivity SHS materials • Large operating temperature (W/m K) Reinforced concrete 673 1.00 1.5 2200 Silica fire bricks 973 1.00 1.5 1820 Solid NaCl 773 0.85 7 2160 Cast iron 673 0.56 37 7200 Cast steel 973 0.60 40 7800 • High heat capacity • High thermal conductivity • High Density • Stability • Low cost and availability High thermal conductivity materials Low cost and easily available materials 12/10/2013 ICAER 2013 8
  • 9.
    Objectives of thepresent work  To develop a 3-D thermal model for predicting the performances of SHS systems.  To optimize the number of charging tubes in the storage bed based on charging time.  To predict the performance of SHS bed of high conductivity solid material (cast steel) of capacity 50 MJ.  To predict the performance of SHS bed of low conductivity solid material (concrete) of capacity 50 MJ by incorporating the axial fins (copper) on charging tube surfaces. 12/10/2013 ICAER 2013 9
  • 10.
    Design and Optimizationof SHS model 12/10/2013 ICAER 2013 10
  • 11.
    Thermal modelling ofSHS model  Assumptions • The inlet velocity profile of HTF is fully developed. • SHSM is isotropic. • The flow is considered as unsteady, laminar and incompressible. • Axial Conduction is negligible  Governing Equations:  Physical model of SHS bed Fluid flow: Continuity and N-S Eq.  . v  0   Dv 2 f   P    v Dt   12/10/2013 Heat transfer: Convection (solid- liquid interface) Heat transfer: Conduction (solid) ICAER 2013 Schematic of mathematical model 11
  • 12.
     ICs andBCs :  Performance parameters • Charging / discharging time. • Energy stored / recovered • 12/10/2013 Exergy efficiency Q  s V C p s T ( J )  Exergy  Tch  T (t) Tch  Tatm ICAER 2013 12
  • 13.
    Validation of SHSmodel Fig.10 (a) Input parameters for validation [4] Sl. Parameters 1 Density of concrete (kg/m3) 2200 2 Specific heat of concrete (J/kg K) 1000 3 Thermal conductivity of concrete (W/m K) 1, 2, 5 4 Diameter of the charging tube (m) Values 0.02 5 12/10/2013 [31] 623 6 663 13
  • 14.
    Flow and temperaturevariation of HTF inside the charging tube 12/10/2013 ICAER 2013 14
  • 15.
    Heat Transfer intothe cast steel bed during charging 12/10/2013 ICAER 2013 15
  • 16.
    Results and Discussions- Charging 3650 s 683 s 62.39 MJ Charging time of concrete and cast steel beds 12/10/2013 62.85 MJ Energy storage rate of concrete and cast steel ICAER 2013 beds 16
  • 17.
    Results and Discussions- Charging 4493 s 3650 s 3379 s Effect of HTF velocity on charging time of 12/10/2013 concrete bed 1400 s 683 s 430 s Effect of HTF velocity on charging time of cast ICAER 2013 steel bed 17
  • 18.
    Results and Discussions- Charging Axial Temperature variation of HTF during 12/10/2013 charging of concrete bed Axial Temperature variation of HTF during ICAER 2013 charging of cast steel bed 18
  • 19.
    Results and Discussions- Discharging 7200 s 1820 s 59.78 MJ Discharging time of concrete and cast steel beds 12/10/2013 62.75 MJ Energy discharge rate of concrete and cast steel beds ICAER 2013 19
  • 20.
    Results and Discussions- Discharging Effect of HTF velocity on discharging time of Effect of HTF velocity on discharging time of concrete bed cast steel bed 12/10/2013 ICAER 2013 20
  • 21.
    Results and Discussions- Discharging Axial Temperature variation of HTF during 12/10/2013 discharging of concrete bed Axial Temperature variation of HTF during ICAER 2013 discharging of cast steel bed 21
  • 22.
    Results and Discussions Exergyefficiency variation 12/10/2013 ICAER 2013 22
  • 23.
    Conclusions • Thermal models forpredicting the charging and discharging characteristics of SHS systems have been developed. • The number of charging tubes has been optimized based on the charging time of the SHS bed. • Heat transfer enhancement technique is implemented by adding fins on the outer surface of charging tubes. • The charging time and energy stored in the SHS bed are found to be 3650 s and 683 s, 62.39 MJ and 62.85 MJ for concrete and cast steel respectively. • The predicted discharging time of SHS beds are 7200 s for concrete bed and 1850 s for the cast steel bed. • The energy discharged from the beds in their respective discharging times are found to be 59.78 MJ for concrete bed and 62.75 MJ for cast steel bed. 12/10/2013 ICAER 2013 23
  • 24.
    References [1] Gil A., MedranoM., Martorell I. and Cabeza F. (2010) State of the art on high temperature thermal energy storage for power generation. Part 1-Concepts, materials and modellization, Renewable and Sustainable Energy Reviews, 14, pp. 31-55. [2] Khare S., Knight C., and McGarry S. (2013) Selection of materials for high temperature sensible energy storage, Solar Energy Materials and Solar Cells, 115, pp. 114-122. [3] Sragovich, D. (1989) Transient analysis for designing and predicting operational performance of a high temperature thermal energy storage system, Solar Energy, 43, pp. 7-16. [4] Tamme, R., Laing, D. and Steinmann, W. (2004) Advanced thermal energy storage technology for parabolic trough, Journal of Solar Energy Engineering, 126, pp. 794-800. 12/10/2013 ICAER 2013 24
  • 25.
    References [5] Laing, D., Steinmann,W., Tamme, R. and Richter, C. (2006) Solid media thermal storage for parabolic trough power plants, Solar Energy, 86, pp. 1283-1289. [6] Nandi, B.R., Bandyopadhyay, S. and Banerjee, R. (2012) Analysis of high temperature thermal energy storage for solar power plant, Proceedings of the 3rd IEEE International Conference on Sustainable Energy Technology, pp. 438-444. [7] John, E.E., Hale, W. M. and Selvam, R. P. (2011) Development of a high-performance concrete to store thermal energy for concentrating solar power plants, Proceedings of the 5th ASME International Conference on Energy Sustainability, pp. 523-529. [8] Tian, Y. and Zhao, C.Y. (2013) A review of solar collectors and thermal energy storage in solar thermal applications, Applied Energy, 104, pp. 538-553. 12/10/2013 ICAER 2013 25
  • 26.