SlideShare une entreprise Scribd logo
1  sur  6
ISA Transactions 51 (2012) 345–350
Contents lists available at SciVerse ScienceDirect
ISA Transactions
journal homepage: www.elsevier.com/locate/isatrans
Applications of thermoelectric modules on heat flow detection
Thananchai Leephakpreeda∗
School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, P.O. Box 22,
Thammasat-Rangsit Post Office, Pathum Thani, 12121, Thailand
a r t i c l e i n f o
Article history:
Received 13 February 2011
Received in revised form
12 April 2011
Accepted 13 November 2011
Available online 7 December 2011
Keywords:
Thermoelectric module
Heat flow
Thermal detection
Measurement
a b s t r a c t
This paper presents quantitative analysis and practical scenarios of implementation of the thermoelectric
module for heat flow detection. Mathematical models of the thermoelectric effects are derived to describe
the heat flow from/to the detected media. It is observed that the amount of the heat flow through the
thermoelectric module proportionally induces the conduction heat owing to the temperature difference
between the hot side and the cold side of the thermoelectric module. In turn, the Seebeck effect takes
place in the thermoelectric module where the temperature difference is converted to the electric voltage.
Hence, the heat flow from/to the detected media can be observed from both the amount and the polarity
of the voltage across the thermoelectric module. Two experiments are demonstrated for viability of the
proposed technique by the measurements of the heat flux through the building wall and thermal radiation
from the outdoor environment during daytime.
© 2011 ISA. Published by Elsevier Ltd. All rights reserved.
1. Introduction
Nowadays, no one can refuse that there are various advanced
engineering applications of thermoelectric modules in both indus-
try and laboratory scale, even though thermoelectric modules are
widely used as thermoelectric coolers for all cooling needs in com-
mon forms of thermoelectric plates [1,2]. For example, recently, in
developed envelopes of a building, the thermoelectric module is
integrated with photovoltaic cells supplying electrical power to it
so as to have the cooling/heating ability to actively control the flow
of the heat across their closure surface through the building, which
is exposed to solar radiation during daytime [3]. On the other hand,
the thermoelectric module can be applied in reversal by simply
making temperature difference on both sides of the thermoelectric
module from available heat sources instead and then the electrical
current is induced due to the thermoelectric effect [4]. This inci-
dent actually yields alternatives of electricity generation. Analyti-
cal studies of [5] reported that the thermoelectric module can be
applied in an automobile to recover waste heat discharged from an
exhaust pipe or a radiator to the surroundings with promising out-
come. Other heat sources such as biomass can be alternatively im-
plemented so as to cause such a temperature difference to produce
electricity as well [6]. Additionally, in the open literature, there is a
very interesting application of the thermoelectric module on ther-
mal sensing. The experimental work of [7] reported that the ther-
moelectric module arranged in specific instrumentation design has
∗ Tel.: +66 2 9869009x2204; fax: +66 2 9869009x2201.
E-mail address: thanan@siit.tu.ac.th.
high sensitivity to heat while it is exposed to infrared radiation in
industrial furnaces.
In this study, the contribution of the works is to provide quan-
titative analysis from a mathematical modeling point of view so as
to understand the principles on physical behaviors of heat flow de-
tection via the thermoelectric module. Additionally, the practical
experiments confirm the applicability of the thermoelectric mod-
ule in determining the heat flow in two modes for case studies:
(1) heat conduction from the building wall and (2) thermal radi-
ation in the outdoor environments. The paper is organized as fol-
lows. In Section 2, the details of experimental setups are described.
Section 3 provides the mathematical modeling of the thermoelec-
tric module. Results and discussion are given in Section 4. Finally,
the conclusion is remarked in Section 5.
2. Experimental setups
Two practical scenarios are performed in this study. Initially,
the thermoelectric module is developed by simply attaching a heat
sink on one side. The other surface of the thermoelectric module is
used for the detection of the heat flow. In the first case study, the
heat flow through an accessible concrete wall of a building during
the day is observed by mounting the thermoelectric module on the
indoor surface of the wall as shown in Fig. 1. The voltage signal
of the thermoelectric module is recorded in order to determine
the corresponding amount of the heat flow from the proposed
technique. In the second case study, the detection of radiation
heat in the outdoor environment is investigated by facing the
black-coated side of the thermoelectric module for detection to the
outdoor atmosphere as depicted in Fig. 2. Again, the voltage signal
is recorded to determine the amount of radiation heat, which is
compared to the measurements from a pyranometer.
0019-0578/$ – see front matter © 2011 ISA. Published by Elsevier Ltd. All rights reserved.
doi:10.1016/j.isatra.2011.11.003
346 T. Leephakpreeda / ISA Transactions 51 (2012) 345–350
Fig. 1. Experiment on heat flux through the building wall.
Fig. 2. Experiment on thermal radiation within the outdoor environment.
3. Mathematical modeling of the thermoelectric module
This section is to describe mathematical models for governing
physical behaviors of a thermoelectric module so as to approach
practical applications of thermoelectric modules on heat flow
detection. For commercial products, the thermoelectric module is
typically made of two ceramic plates of various sizes and shapes
covering an array of (n − p) sequentially-paired semiconductors
in between those as shown in Fig. 3. In general, the thermoelectric
modules are widely used as heat pumps in electric cooling/heating
when the DC current from a power source flows through the
thermoelectric module, which subsequently causes heat transfer
from one side (cold side) of the thermoelectric module to the other
(hot side). In turn, cooling effects and heating effects are generated
according to thermal demands at the cold side and at the hot side,
respectively. In fact, the thermoelectric module can be considered
a thermal–electrical circuit as depicted on the right side in Fig. 3,
which is mathematically described by:
v = β (Th − Tc ) + RI (1)
where v is the voltage across the thermoelectric module, β is
the Seebeck coefficient, Th is the temperature at the hot side, Tc
is the temperature at the cold side, R is the resistance of the
thermoelectric module, I is the electrical current flowing within
the circuit.
The amount of heat rejected by the thermoelectric module at
the hot side can be determined by:
QH = βITh +
1
2
I2
R − k (Th − Tc ) . (2)
On the other hand, the amount of heat pumped by the thermoelec-
tric module at the cold side can be determined by:
QC = βITc −
1
2
I2
R − k (Th − Tc ) (3)
where k is the thermal conductivity coefficient of the thermoelec-
tric module.
The first term on the right side of Eqs. (2)–(3) is the Seebeck
heating/cooling effects. The second term characterizes the Joule
heating effect associated with electrical power developed in the
resistance. The third term represents the Fourier effect of heat
conduction from the hot side to the cold side.
From the principle of energy balance, the electrical power and
the rate of heat pumped from the cold side as well as the rate of
heat rejected to the hot side can be written as:
QH = QC + IV. (4)
It can be interpreted that the heat can be pumped from the cold
side to the hot side by the electrical drive of the thermoelectric
module. The parametric values of the material properties in the
mathematical models can be determined experimentally with
elaborated details in Section 4.
In this work, the heat-flow detection is proposed by making
use of the thermoelectric effects of the thermoelectric modules.
As illustrated in Fig. 4, without supplying the electrical power,
the circuit of the thermoelectric module is opened (I = 0)
instead. While the amount of the heat, which is to be detected,
transfers to the thermoelectric module instead, it is observed
that the voltage measured across the thermoelectric module is
proportionally varied according to the amount of heat transfered
through the thermoelectric module. In this paper, it is called inflow
heat detection, where the temperature of the detected media is
higher than the thermoelectric module, whereas it is called outflow
heat detection, where the temperature of the detected media is
lower than the thermoelectric module. Without loss of generality,
the inflow heat detection, for which the hot side is facing in this
case, is considered in analytical study while the outflow heat
detection, for which the cold side is facing, can be regarded as a
similar process where the direction of the heat flow is opposite to
the direction of the heat flow through the thermoelectric module
in Fig. 4. Now, let us consider a schematic diagram of the inflow
heat detection presented in Fig. 4.
Since the thermal–electrical circuit is opened so as to obtain
the corresponding condition on that there is no electrical current
within the circuit, the heat rejected from the thermoelectric
module and the heat pumped to the thermoelectric module in Eqs.
(2)–(3) can be reduced to:
QH = QC = −k (Th − Tc ) . (5)
The negative sign indicates the direction of the heat flow, which is
now opposite to the direction in the case that the power source is
used to supply the electrical current to the thermoelectric module
T. Leephakpreeda / ISA Transactions 51 (2012) 345–350 347
Fig. 3. Schematic diagram of the thermoelectric module and the thermal–electrical circuit.
Fig. 4. Installation during inflow heat detection.
in Fig. 3. To continue the analysis, let us consider the amount of the
heat transfer through the thermoelectric module to be:
Q o
H = Q o
C = k (Th − Tc ) . (6)
By applying the principle of heat balance to the thermal system in
Fig. 4, the dynamics of the temperatures of the hot side and the
cold side as well as the heat sink can be governed by the following
three equations.
ρcV
dTh
dt
= Q − Q o
H (7)
ρcV
dTc
dt
= Q o
C − Qs (8)
ρscsVs
dTs
dt
= Qs − Qa (9)
where Q is the detected heat flow to the thermoelectric module, ρ
is the density of the ceramic substrate, c is the specific heat of the
ceramic substrate, V is the volume of the ceramic substrate, and the
subscript s indicates those properties belonging to the heat sink.
Eqs. (7)–(9) are applied in order to describe each lumped
solid temperature considered in the heat flow direction from the
detected media to the heat sink as shown in Fig. 4, since the heat
transfer area of the thermoelectric module is noticeably larger
than the perimeter area. Explicitly, Eq. (7) represents the rate of
change in the internal energy stored within the hot-side control
volume of the thermoelectric module due to the rates at which
heat transfer enters and leaves the hot-side control volume. The
same consideration is applied for the cold-side control volume and
the heat sink, which are governed by Eqs. (8)–(9), respectively.
However, there are temperature differences across the interfaces
between the cold side of the thermoelectric module and the
heat sink as well as the heat sink and the air. The temperature
differences are attributed to the thermal contact resistance and
the thermal resistance of the natural convection, as expressed in
Eqs. (10)–(11), respectively.
The heat conduction from the cold side of the thermoelectric
module to the heat sink can be expressed as:
Qs =
Tc − Ts
rs
. (10)
The heat convection from the heat sink to the air can be written as:
Qa =
Ts − Ta
ra
(11)
where rs is the thermal contact resistance between the thermoelec-
tric module and the heat sink, ra is the thermal resistance of the
natural convection at the heat sink, Ts is the temperature of heat
sink, and Ta is the temperature of air.
It can be seen from Eqs. (7)–(11) that the temperatures of the
hot side, the cold side, and the heat sink can be changed with
respect to time according to the capability of heat capacity, heat
conduction among the contact materials, and heat convection by
cooling air. In fact, temperatures of the hot side, the cold side and
the heat sink rise up until the heat transfer from the thermoelectric
module to the air is the same as the amount of the heat flow
from the detected media. Without loss of generality, an ideal case
of perfect heat dissipation is considered in such a way that the
heat sink can draw the temperature of the cold side and the
temperature of the heat sink itself to the temperature of air. In
other words, the thermal resistances in Eqs. (10)–(11) are assumed
to be sufficiently small, where the heat sink is designed for efficient
cooling. The temperature at the cold side is to be retained at a
348 T. Leephakpreeda / ISA Transactions 51 (2012) 345–350
Fig. 5. Response of temperature difference after contacting detected media.
Table 1
Parameters of the thermoelectric module and the copper plate.
Parameters Numerical values
Seebeck coefficient β, (V/K) 0.0488
Thermal conductivity k, (W/K) 0.831
Size of alumina substrate V, (cm × cm × cm) 4 × 4 × 0.09
Specific heat of alumina c, (J/g K) 0.88
Density of alumina ρ, (g/cm3
) 3.89
Heat capacitance of copper plate (J/K) 32.725
constant temperature until the steady state is reached. With the
hypothesis (dTc /dt = 0), this yields mathematical manipulations
of Eqs. (6)–(7) to be expressed as Eq. (12).
ρcV
d (Th − Tc )
dt
= Q − k (Th − Tc ) . (12)
Therefore, the analytical solution of Eq. (12) for a given amount of
the heat flow can be obtained by:
Th − Tc =
Q
k

1 − e
−

k
ρcV

t

. (13)
It should be noted that obtaining the analytical solution is to
give insight on how fast the response time of the theoretical
case is to reach the steady-state conditions. In actual cases, the
characteristics of dynamic responses may vary. From Eq. (13), once
the heat flow is detected while the detected media is attached
by the thermoelectric module, the magnitude of the temperature
difference starts increasing with respect to time and then it
reaches steady-state heat conduction with a magnitude of the
ratio of the heat flow to the conductivity coefficient. The dynamic
response time to the heat flow to reach the steady condition is
dependent on the properties of the thermoelectric module, that
is, the density, specific heat, volume of the ceramic plate and the
conductivity coefficient. With property parameters in Table 1 of
materials used in this study, Fig. 5 shows the dynamic response
of the temperature difference of the thermoelectric module after
contacting the detected media. The response time to reach the
steady condition is estimated to be slightly less than 30 s. In fact,
it is sufficiently fast to thermally detecting for general purpose. It
should be noted that the actual response time deviates from these
ideal results based on the dissipative efficiency of the heat sink
as mentioned earlier. It can be noted that the more the amount
of the heat flow, the larger the temperature difference it requires.
Therefore, it is better to maintain the temperature of the heat sink
to be as low as possible to cover the ranges of the amount of the
heat flow to be detected.
Under the opened thermal–electrical circuit (I = 0) at
steady-state condition, the model of Eq. (13) at (t → ∞) can be
substituted to Eq. (1) or the model of Eq. (6) can be substituted to
Eq. (1) in order to yield the relations of the heat flow to the voltage
measured across the thermoelectric module.
Q =
k
β
v. (14)
It can be interpreted form Eq. (14) that the amount of heat that
transfers to a given area of the thermoelectric module causes
proportionally the voltage across the thermoelectric module. The
thermal–electrical relation in Eq. (14) can be applied to determine
the heat flow from the detected media to the thermoelectric
module and vice versa. It should be noted that the inflow heat
detection and the outflow heat detection can be indicated in the
polarity of voltage measurement.
4. Results and discussion
This section is to demonstrate examples of how the proposed
technique of heat flow detection via a thermoelectric module is
applied in practical uses. Initially, a thermoelectric module coupled
with a heat sink, which is commonly available in product market,
is experimentally tested in order to determine its properties for
thermoelectric relation in Eq. (14), that is, the Seebeck coefficient
and the thermal conductivity coefficient. In fact, the details of
parametric determination can be found as follows. Fig. 6 shows the
plots of the measured voltage against the temperature difference
between the temperature at the hot side and the temperature
at the cold side after the circuit of the thermoelectric module
is cut off from the DC source (open circuit or I = 0). It is
observed that the voltage decreases as the temperature difference
reduces. From Eq. (1), the slope of the linear relation in Fig. 6 is
quantified, by the best fitting method, to be the Seebeck coefficient
of 0.0487 V/K, which is listed in Table 1. To determine the thermal
conductivity coefficient, a hot copper plate with the same size
of the thermoelectric module is well insulated at one side and
another side is attached to the thermoelectric module so that all
the internal energy of the copper plate is only transferred to the
thermoelectric module. Therefore, the heat conduction through
the thermoelectric module takes place due to the decrement of the
internal energy within the hot copper plate as expressed in Eq. (6).
Fig. 7 shows plots of the decreasing temperature of the copper plate
against time, which can be used to determine the rate of change in
the temperature of the copper plate. With the heat capacitance of
the copper plate in Table 1, the heat rejected to the thermoelectric
module can be determined and then it is plotted with respect to the
corresponding temperature difference between the temperature at
the hot side and the temperature at the cold side as illustrated in
Fig. 8. The slope of the linear relation in Eq. (6) is quantified to be
the thermal conductivity coefficient of 0.831 W/K, which is listed
in Table 1. To verify the thermoelectric relation with those obtained
parameters in Eq. (14), the plate-type heaters with different power
capacities are prepared as known heat sources. Fig. 9 illustrates
the comparisons of the results between the heat flow determined
from Eq. (14) corresponding to measured voltages, illustrated in
the solid line and the known heat flow from the plate-type heaters
to the thermoelectric module as well as the known heat flow from
the thermoelectric module to the cooled plates, depicted in dotted
marks. It is found that results from the proposed model in Eq. (14)
have good agreement on the actual heat inflow and the actual heat
outflow of the thermoelectric module, where the average value of
the absolute relative differences is 6.7% with a standard deviation
of 2.7% in the testing experiments.
Now, two practical scenarios are demonstrated as real appli-
cations of the thermoelectric module on heat flow detection. The
thermoelectric module is used to measure the heat flux (W/m2
),
which is determined from the heat flow through the thermoelec-
tric module in Eq. (14) per the area of the thermoelectric module
T. Leephakpreeda / ISA Transactions 51 (2012) 345–350 349
Table 2
Statistical summaries of absolute relative differences of experimental results and simulated results.
Figure Minimum values (%) Maximum values (%) Average values (%) Standard deviations (%) Numbers of data
6 0.1 14.6 5.4 4.7 13
8 0.2 8.6 4.0 3.1 6
9 0.1 10.5 6.7 2.7 13
11 0.3 11.7 4.8 3.9 18
Fig. 6. Plots of voltage against temperature difference.
Fig. 7. Temperature evolution of copper plate during decrease in internal energy.
Fig. 8. Plots of the heat flow to the thermoelectric module against temperature
difference.
itself (4 cm×4 cm, listed in Table 1). Fig. 10 shows the implementa-
tion of the proposed technique in determining the heat flux passing
Fig. 9. Comparison of simulated results from the model in Eq. (14) with the actual
heat flow.
Fig. 10. Detected heat flux through the building wall during daytime.
through a side of the building wall exposed to sunlight against the
time. It is observed that the amount of heat flux through the wall
increases and decreases corresponding to the time from sunrise to
sunset. It is a fact that the thermoelectric module is used to mea-
sure the amount of the heat transfer through the detected-media
facing area, which is not identical to the amount of the heat transfer
through the wall (without the thermoelectric module). However,
those measurements can be used as proportional indicators of the
heat flow in system design techniques. There are two main factors
causing such differences: 1. changes in boundary conditions due
to attaching the thermoelectric module to the wall and 2. contact-
ing effect on thermal resistance between the detected media and
the thermoelectric module. In turn, the relationship may change
from one scenario to another. Fig. 11 shows variations of thermal
radiation obtained from the thermoelectric module during day-
time when the equipment is exposed to the outdoor atmosphere
as mentioned in Section 2. Results from the proposed technique
yield good agreement with the measured results from a pyranome-
ter, where the average value of the absolute relative differences
is 4.8% with a standard deviation of 3.9%. For Figs. 6, 8, 9 and 11,
the statistical summaries of absolute relative differences between
the experimental results and the simulated results such as min-
imum value, maximum value, average value, standard deviation,
and numbers of data are reported in Table 2.
350 T. Leephakpreeda / ISA Transactions 51 (2012) 345–350
Fig. 11. Detected heat flux within the outdoor environment during daytime.
5. Conclusion
The proposed technique is analytically presented for viability
of simple-to-use and effective application of the low-cost thermo-
electric module on heat flow detection. To implement, the thermo-
electric module is typically coupled with a heat sink and then it is
well attached to the detected media. The heat flow from/to the de-
tected media is observed from both the amount and the polarity of
the voltage across the thermoelectric module. Two practical sce-
narios in heat conduction through the building wall and thermal
radiation within the outdoor environment are demonstrated as
examples of hands-on implementations. Likewise, the identifica-
tion on heat-flow thresholds can be applied to trigger appropriate
action of real-time control.
Acknowledgments
The author sincerely thanks Tanawat Boonpanya for assistance
in experiments. Also, the author appreciates the reviewers’ com-
ments and suggestions for improvement.
References
[1] Riffat SB, Ma X. Thermoelectrics: a review of present and potential applications.
Applied Thermal Engineering 2003;23(8):913–35.
[2] Chein R, Huang G. Thermoelectric cooler application in electronic cooling.
Applied Thermal Engineering 2004;24(14–15):2207–17.
[3] Xu X, Dessel SV, Messac A. Study of the performance of thermoelectric modules
for use in active building envelopes. Building and Environment 2007;42(3):
1489–502.
[4] Rowe DM, Min G. Evaluation of thermoelectric modules for power generation.
Journal of Power Sources 1998;73(2):193–8.
[5] Hsiao YY, Chang WC, Chen SL. A mathematical model of thermoelectric module
with application on waste heat recovery from automobile engine. Energy 2010;
35(3):1447–54.
[6] Champier D, Bedecarrats JP, Rivaletto M, Strub F. Thermoelectric power
generation from biomass cook stoves. Energy 2010;35(2):935–42.
[7] Ploteau JP, Glouannec P, Noel H. Conception of thermoelectric flux meter
for infrared radiation measurements in industrial furnaces. Applied Thermal
Engineering 2007;27(2–3):674–81.

Contenu connexe

Tendances

The Working principle of Thermocouple
The Working principle of ThermocoupleThe Working principle of Thermocouple
The Working principle of Thermocouple
Manvik Joshi
 
Study and Fabrication of Thermoelectric Air Cooling and Heating System
Study and Fabrication of Thermoelectric Air Cooling and Heating SystemStudy and Fabrication of Thermoelectric Air Cooling and Heating System
Study and Fabrication of Thermoelectric Air Cooling and Heating System
International Journal of Engineering Inventions www.ijeijournal.com
 
Thermoelectric cooling
Thermoelectric coolingThermoelectric cooling
Thermoelectric cooling
Rahul Sharma
 
Seebeck effect & peltier effect
Seebeck effect & peltier effectSeebeck effect & peltier effect
Seebeck effect & peltier effect
vishal chaturani
 
Heat Transfer Project
Heat Transfer ProjectHeat Transfer Project
Heat Transfer Project
Alec Gauthier
 

Tendances (20)

The Working principle of Thermocouple
The Working principle of ThermocoupleThe Working principle of Thermocouple
The Working principle of Thermocouple
 
IRJET- Thermoelectric Air-Conditioner Tricycle
IRJET-  	  Thermoelectric Air-Conditioner TricycleIRJET-  	  Thermoelectric Air-Conditioner Tricycle
IRJET- Thermoelectric Air-Conditioner Tricycle
 
Design and Analysis of Heat Sink
Design and Analysis of Heat SinkDesign and Analysis of Heat Sink
Design and Analysis of Heat Sink
 
Study and Fabrication of Thermoelectric Air Cooling and Heating System
Study and Fabrication of Thermoelectric Air Cooling and Heating SystemStudy and Fabrication of Thermoelectric Air Cooling and Heating System
Study and Fabrication of Thermoelectric Air Cooling and Heating System
 
measurement :Temperature
measurement :Temperature measurement :Temperature
measurement :Temperature
 
Electricity Generation using Thermoelectric System from Waste Heat of Flue Gases
Electricity Generation using Thermoelectric System from Waste Heat of Flue GasesElectricity Generation using Thermoelectric System from Waste Heat of Flue Gases
Electricity Generation using Thermoelectric System from Waste Heat of Flue Gases
 
Temperature Measurement
Temperature MeasurementTemperature Measurement
Temperature Measurement
 
Thermopile
ThermopileThermopile
Thermopile
 
Thermocouple temperature measurement principle and common faults
Thermocouple temperature measurement principle and common faultsThermocouple temperature measurement principle and common faults
Thermocouple temperature measurement principle and common faults
 
THERMOELECTRIC COOLER
THERMOELECTRIC COOLERTHERMOELECTRIC COOLER
THERMOELECTRIC COOLER
 
Thermoelectric cooling
Thermoelectric coolingThermoelectric cooling
Thermoelectric cooling
 
Electrical temperature measurement
Electrical temperature measurementElectrical temperature measurement
Electrical temperature measurement
 
Seebeck effect & peltier effect
Seebeck effect & peltier effectSeebeck effect & peltier effect
Seebeck effect & peltier effect
 
Thermocouple
ThermocoupleThermocouple
Thermocouple
 
CFD Simulation of Thermo Acoustic Cooling
CFD Simulation of Thermo Acoustic CoolingCFD Simulation of Thermo Acoustic Cooling
CFD Simulation of Thermo Acoustic Cooling
 
Thermoelectric Effect
Thermoelectric EffectThermoelectric Effect
Thermoelectric Effect
 
Heat Transfer Project
Heat Transfer ProjectHeat Transfer Project
Heat Transfer Project
 
presentation slide
 presentation slide presentation slide
presentation slide
 
Thermoelectric materials & Applications
Thermoelectric materials & ApplicationsThermoelectric materials & Applications
Thermoelectric materials & Applications
 
R&ac lecture 35
R&ac lecture 35R&ac lecture 35
R&ac lecture 35
 

Similaire à Applications of thermoelectric modules on heat flow detection

Solar Energy based Refrigeration System using Peltier Device 18 ABHISHEK.pdf
Solar Energy based Refrigeration System using Peltier Device  18  ABHISHEK.pdfSolar Energy based Refrigeration System using Peltier Device  18  ABHISHEK.pdf
Solar Energy based Refrigeration System using Peltier Device 18 ABHISHEK.pdf
keshavkumar403723
 
Introduction to Magnetic Refrigeration
Introduction to Magnetic RefrigerationIntroduction to Magnetic Refrigeration
Introduction to Magnetic Refrigeration
Samet Baykul
 
FINAL_201 Thursday A-3 Convective and Radiant Heat Transfer
FINAL_201 Thursday A-3 Convective and Radiant Heat TransferFINAL_201 Thursday A-3 Convective and Radiant Heat Transfer
FINAL_201 Thursday A-3 Convective and Radiant Heat Transfer
Kaylene Kowalski
 
Thermoelectric Generation
Thermoelectric GenerationThermoelectric Generation
Thermoelectric Generation
AhMed ReZq
 
Testing and Validation of Thermoelectric Coolers
Testing and Validation of Thermoelectric CoolersTesting and Validation of Thermoelectric Coolers
Testing and Validation of Thermoelectric Coolers
IJERA Editor
 
Modeling and simulation of thermoelectric device used as a heat pump and an e...
Modeling and simulation of thermoelectric device used as a heat pump and an e...Modeling and simulation of thermoelectric device used as a heat pump and an e...
Modeling and simulation of thermoelectric device used as a heat pump and an e...
Bourhan Tashtoush
 

Similaire à Applications of thermoelectric modules on heat flow detection (20)

Review on Thermoelectric materials and applications
Review on Thermoelectric materials and applicationsReview on Thermoelectric materials and applications
Review on Thermoelectric materials and applications
 
Solar Energy based Refrigeration System using Peltier Device 18 ABHISHEK.pdf
Solar Energy based Refrigeration System using Peltier Device  18  ABHISHEK.pdfSolar Energy based Refrigeration System using Peltier Device  18  ABHISHEK.pdf
Solar Energy based Refrigeration System using Peltier Device 18 ABHISHEK.pdf
 
HEAT TRANSFER
HEAT TRANSFER HEAT TRANSFER
HEAT TRANSFER
 
06 6377 9057-1-pb
06 6377 9057-1-pb06 6377 9057-1-pb
06 6377 9057-1-pb
 
Battery charging using thermoelectric generation module in automobiles
Battery charging using thermoelectric generation module in automobilesBattery charging using thermoelectric generation module in automobiles
Battery charging using thermoelectric generation module in automobiles
 
B012640917
B012640917B012640917
B012640917
 
Fabrication of Thermo Electric Solar Fridge
Fabrication of Thermo Electric Solar FridgeFabrication of Thermo Electric Solar Fridge
Fabrication of Thermo Electric Solar Fridge
 
B012640917
B012640917B012640917
B012640917
 
Development of a Thermoelectric Micro generation based on Seebeck Effect
Development of a Thermoelectric Micro generation based on Seebeck EffectDevelopment of a Thermoelectric Micro generation based on Seebeck Effect
Development of a Thermoelectric Micro generation based on Seebeck Effect
 
Introduction to Magnetic Refrigeration
Introduction to Magnetic RefrigerationIntroduction to Magnetic Refrigeration
Introduction to Magnetic Refrigeration
 
Performance Evaluation of Thermoelectric Materials: A Case Study of Orthorhom...
Performance Evaluation of Thermoelectric Materials: A Case Study of Orthorhom...Performance Evaluation of Thermoelectric Materials: A Case Study of Orthorhom...
Performance Evaluation of Thermoelectric Materials: A Case Study of Orthorhom...
 
FINAL_201 Thursday A-3 Convective and Radiant Heat Transfer
FINAL_201 Thursday A-3 Convective and Radiant Heat TransferFINAL_201 Thursday A-3 Convective and Radiant Heat Transfer
FINAL_201 Thursday A-3 Convective and Radiant Heat Transfer
 
Radial Heat conduction.docx
Radial Heat conduction.docxRadial Heat conduction.docx
Radial Heat conduction.docx
 
F012334045
F012334045F012334045
F012334045
 
THERMOELECTRIC
THERMOELECTRICTHERMOELECTRIC
THERMOELECTRIC
 
Thermoelectric Generation
Thermoelectric GenerationThermoelectric Generation
Thermoelectric Generation
 
Testing and Validation of Thermoelectric Coolers
Testing and Validation of Thermoelectric CoolersTesting and Validation of Thermoelectric Coolers
Testing and Validation of Thermoelectric Coolers
 
Modeling and simulation of thermoelectric device used as a heat pump and an e...
Modeling and simulation of thermoelectric device used as a heat pump and an e...Modeling and simulation of thermoelectric device used as a heat pump and an e...
Modeling and simulation of thermoelectric device used as a heat pump and an e...
 
Report-2003
Report-2003Report-2003
Report-2003
 
Microcontroller Control Thermoelectric heating and Cooling System using TEC1 ...
Microcontroller Control Thermoelectric heating and Cooling System using TEC1 ...Microcontroller Control Thermoelectric heating and Cooling System using TEC1 ...
Microcontroller Control Thermoelectric heating and Cooling System using TEC1 ...
 

Plus de ISA Interchange

Fractional order PID for tracking control of a parallel robotic manipulator t...
Fractional order PID for tracking control of a parallel robotic manipulator t...Fractional order PID for tracking control of a parallel robotic manipulator t...
Fractional order PID for tracking control of a parallel robotic manipulator t...
ISA Interchange
 
Model based PI power system stabilizer design for damping low frequency oscil...
Model based PI power system stabilizer design for damping low frequency oscil...Model based PI power system stabilizer design for damping low frequency oscil...
Model based PI power system stabilizer design for damping low frequency oscil...
ISA Interchange
 
Fault detection of feed water treatment process using PCA-WD with parameter o...
Fault detection of feed water treatment process using PCA-WD with parameter o...Fault detection of feed water treatment process using PCA-WD with parameter o...
Fault detection of feed water treatment process using PCA-WD with parameter o...
ISA Interchange
 
Effects of Wireless Packet Loss in Industrial Process Control Systems
Effects of Wireless Packet Loss in Industrial Process Control SystemsEffects of Wireless Packet Loss in Industrial Process Control Systems
Effects of Wireless Packet Loss in Industrial Process Control Systems
ISA Interchange
 
An adaptive PID like controller using mix locally recurrent neural network fo...
An adaptive PID like controller using mix locally recurrent neural network fo...An adaptive PID like controller using mix locally recurrent neural network fo...
An adaptive PID like controller using mix locally recurrent neural network fo...
ISA Interchange
 

Plus de ISA Interchange (20)

An optimal general type-2 fuzzy controller for Urban Traffic Network
An optimal general type-2 fuzzy controller for Urban Traffic NetworkAn optimal general type-2 fuzzy controller for Urban Traffic Network
An optimal general type-2 fuzzy controller for Urban Traffic Network
 
Embedded intelligent adaptive PI controller for an electromechanical system
Embedded intelligent adaptive PI controller for an electromechanical  systemEmbedded intelligent adaptive PI controller for an electromechanical  system
Embedded intelligent adaptive PI controller for an electromechanical system
 
State of charge estimation of lithium-ion batteries using fractional order sl...
State of charge estimation of lithium-ion batteries using fractional order sl...State of charge estimation of lithium-ion batteries using fractional order sl...
State of charge estimation of lithium-ion batteries using fractional order sl...
 
Fractional order PID for tracking control of a parallel robotic manipulator t...
Fractional order PID for tracking control of a parallel robotic manipulator t...Fractional order PID for tracking control of a parallel robotic manipulator t...
Fractional order PID for tracking control of a parallel robotic manipulator t...
 
Fuzzy logic for plant-wide control of biological wastewater treatment process...
Fuzzy logic for plant-wide control of biological wastewater treatment process...Fuzzy logic for plant-wide control of biological wastewater treatment process...
Fuzzy logic for plant-wide control of biological wastewater treatment process...
 
Design and implementation of a control structure for quality products in a cr...
Design and implementation of a control structure for quality products in a cr...Design and implementation of a control structure for quality products in a cr...
Design and implementation of a control structure for quality products in a cr...
 
Model based PI power system stabilizer design for damping low frequency oscil...
Model based PI power system stabilizer design for damping low frequency oscil...Model based PI power system stabilizer design for damping low frequency oscil...
Model based PI power system stabilizer design for damping low frequency oscil...
 
A comparison of a novel robust decentralized control strategy and MPC for ind...
A comparison of a novel robust decentralized control strategy and MPC for ind...A comparison of a novel robust decentralized control strategy and MPC for ind...
A comparison of a novel robust decentralized control strategy and MPC for ind...
 
Fault detection of feed water treatment process using PCA-WD with parameter o...
Fault detection of feed water treatment process using PCA-WD with parameter o...Fault detection of feed water treatment process using PCA-WD with parameter o...
Fault detection of feed water treatment process using PCA-WD with parameter o...
 
Model-based adaptive sliding mode control of the subcritical boiler-turbine s...
Model-based adaptive sliding mode control of the subcritical boiler-turbine s...Model-based adaptive sliding mode control of the subcritical boiler-turbine s...
Model-based adaptive sliding mode control of the subcritical boiler-turbine s...
 
A Proportional Integral Estimator-Based Clock Synchronization Protocol for Wi...
A Proportional Integral Estimator-Based Clock Synchronization Protocol for Wi...A Proportional Integral Estimator-Based Clock Synchronization Protocol for Wi...
A Proportional Integral Estimator-Based Clock Synchronization Protocol for Wi...
 
An artificial intelligence based improved classification of two-phase flow patte...
An artificial intelligence based improved classification of two-phase flow patte...An artificial intelligence based improved classification of two-phase flow patte...
An artificial intelligence based improved classification of two-phase flow patte...
 
New Method for Tuning PID Controllers Using a Symmetric Send-On-Delta Samplin...
New Method for Tuning PID Controllers Using a Symmetric Send-On-Delta Samplin...New Method for Tuning PID Controllers Using a Symmetric Send-On-Delta Samplin...
New Method for Tuning PID Controllers Using a Symmetric Send-On-Delta Samplin...
 
Load estimator-based hybrid controller design for two-interleaved boost conve...
Load estimator-based hybrid controller design for two-interleaved boost conve...Load estimator-based hybrid controller design for two-interleaved boost conve...
Load estimator-based hybrid controller design for two-interleaved boost conve...
 
Effects of Wireless Packet Loss in Industrial Process Control Systems
Effects of Wireless Packet Loss in Industrial Process Control SystemsEffects of Wireless Packet Loss in Industrial Process Control Systems
Effects of Wireless Packet Loss in Industrial Process Control Systems
 
Fault Detection in the Distillation Column Process
Fault Detection in the Distillation Column ProcessFault Detection in the Distillation Column Process
Fault Detection in the Distillation Column Process
 
Neural Network-Based Actuator Fault Diagnosis for a Non-Linear Multi-Tank System
Neural Network-Based Actuator Fault Diagnosis for a Non-Linear Multi-Tank SystemNeural Network-Based Actuator Fault Diagnosis for a Non-Linear Multi-Tank System
Neural Network-Based Actuator Fault Diagnosis for a Non-Linear Multi-Tank System
 
A KPI-based process monitoring and fault detection framework for large-scale ...
A KPI-based process monitoring and fault detection framework for large-scale ...A KPI-based process monitoring and fault detection framework for large-scale ...
A KPI-based process monitoring and fault detection framework for large-scale ...
 
An adaptive PID like controller using mix locally recurrent neural network fo...
An adaptive PID like controller using mix locally recurrent neural network fo...An adaptive PID like controller using mix locally recurrent neural network fo...
An adaptive PID like controller using mix locally recurrent neural network fo...
 
A method to remove chattering alarms using median filters
A method to remove chattering alarms using median filtersA method to remove chattering alarms using median filters
A method to remove chattering alarms using median filters
 

Dernier

Top Rated Call Girls In chittoor 📱 {7001035870} VIP Escorts chittoor
Top Rated Call Girls In chittoor 📱 {7001035870} VIP Escorts chittoorTop Rated Call Girls In chittoor 📱 {7001035870} VIP Escorts chittoor
Top Rated Call Girls In chittoor 📱 {7001035870} VIP Escorts chittoor
dharasingh5698
 
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
dollysharma2066
 
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
ssuser89054b
 

Dernier (20)

Generative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPTGenerative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPT
 
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
 
Block diagram reduction techniques in control systems.ppt
Block diagram reduction techniques in control systems.pptBlock diagram reduction techniques in control systems.ppt
Block diagram reduction techniques in control systems.ppt
 
University management System project report..pdf
University management System project report..pdfUniversity management System project report..pdf
University management System project report..pdf
 
Unit 2- Effective stress & Permeability.pdf
Unit 2- Effective stress & Permeability.pdfUnit 2- Effective stress & Permeability.pdf
Unit 2- Effective stress & Permeability.pdf
 
Thermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.pptThermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.ppt
 
Top Rated Call Girls In chittoor 📱 {7001035870} VIP Escorts chittoor
Top Rated Call Girls In chittoor 📱 {7001035870} VIP Escorts chittoorTop Rated Call Girls In chittoor 📱 {7001035870} VIP Escorts chittoor
Top Rated Call Girls In chittoor 📱 {7001035870} VIP Escorts chittoor
 
NFPA 5000 2024 standard .
NFPA 5000 2024 standard                                  .NFPA 5000 2024 standard                                  .
NFPA 5000 2024 standard .
 
Bhosari ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For ...
Bhosari ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready For ...Bhosari ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready For ...
Bhosari ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For ...
 
Call Girls Walvekar Nagar Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Walvekar Nagar Call Me 7737669865 Budget Friendly No Advance BookingCall Girls Walvekar Nagar Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Walvekar Nagar Call Me 7737669865 Budget Friendly No Advance Booking
 
(INDIRA) Call Girl Bhosari Call Now 8617697112 Bhosari Escorts 24x7
(INDIRA) Call Girl Bhosari Call Now 8617697112 Bhosari Escorts 24x7(INDIRA) Call Girl Bhosari Call Now 8617697112 Bhosari Escorts 24x7
(INDIRA) Call Girl Bhosari Call Now 8617697112 Bhosari Escorts 24x7
 
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
 
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
 
Thermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - VThermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - V
 
Intze Overhead Water Tank Design by Working Stress - IS Method.pdf
Intze Overhead Water Tank  Design by Working Stress - IS Method.pdfIntze Overhead Water Tank  Design by Working Stress - IS Method.pdf
Intze Overhead Water Tank Design by Working Stress - IS Method.pdf
 
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdfONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
 
FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads
FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced LoadsFEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads
FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads
 
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
 
Work-Permit-Receiver-in-Saudi-Aramco.pptx
Work-Permit-Receiver-in-Saudi-Aramco.pptxWork-Permit-Receiver-in-Saudi-Aramco.pptx
Work-Permit-Receiver-in-Saudi-Aramco.pptx
 
UNIT - IV - Air Compressors and its Performance
UNIT - IV - Air Compressors and its PerformanceUNIT - IV - Air Compressors and its Performance
UNIT - IV - Air Compressors and its Performance
 

Applications of thermoelectric modules on heat flow detection

  • 1. ISA Transactions 51 (2012) 345–350 Contents lists available at SciVerse ScienceDirect ISA Transactions journal homepage: www.elsevier.com/locate/isatrans Applications of thermoelectric modules on heat flow detection Thananchai Leephakpreeda∗ School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, P.O. Box 22, Thammasat-Rangsit Post Office, Pathum Thani, 12121, Thailand a r t i c l e i n f o Article history: Received 13 February 2011 Received in revised form 12 April 2011 Accepted 13 November 2011 Available online 7 December 2011 Keywords: Thermoelectric module Heat flow Thermal detection Measurement a b s t r a c t This paper presents quantitative analysis and practical scenarios of implementation of the thermoelectric module for heat flow detection. Mathematical models of the thermoelectric effects are derived to describe the heat flow from/to the detected media. It is observed that the amount of the heat flow through the thermoelectric module proportionally induces the conduction heat owing to the temperature difference between the hot side and the cold side of the thermoelectric module. In turn, the Seebeck effect takes place in the thermoelectric module where the temperature difference is converted to the electric voltage. Hence, the heat flow from/to the detected media can be observed from both the amount and the polarity of the voltage across the thermoelectric module. Two experiments are demonstrated for viability of the proposed technique by the measurements of the heat flux through the building wall and thermal radiation from the outdoor environment during daytime. © 2011 ISA. Published by Elsevier Ltd. All rights reserved. 1. Introduction Nowadays, no one can refuse that there are various advanced engineering applications of thermoelectric modules in both indus- try and laboratory scale, even though thermoelectric modules are widely used as thermoelectric coolers for all cooling needs in com- mon forms of thermoelectric plates [1,2]. For example, recently, in developed envelopes of a building, the thermoelectric module is integrated with photovoltaic cells supplying electrical power to it so as to have the cooling/heating ability to actively control the flow of the heat across their closure surface through the building, which is exposed to solar radiation during daytime [3]. On the other hand, the thermoelectric module can be applied in reversal by simply making temperature difference on both sides of the thermoelectric module from available heat sources instead and then the electrical current is induced due to the thermoelectric effect [4]. This inci- dent actually yields alternatives of electricity generation. Analyti- cal studies of [5] reported that the thermoelectric module can be applied in an automobile to recover waste heat discharged from an exhaust pipe or a radiator to the surroundings with promising out- come. Other heat sources such as biomass can be alternatively im- plemented so as to cause such a temperature difference to produce electricity as well [6]. Additionally, in the open literature, there is a very interesting application of the thermoelectric module on ther- mal sensing. The experimental work of [7] reported that the ther- moelectric module arranged in specific instrumentation design has ∗ Tel.: +66 2 9869009x2204; fax: +66 2 9869009x2201. E-mail address: thanan@siit.tu.ac.th. high sensitivity to heat while it is exposed to infrared radiation in industrial furnaces. In this study, the contribution of the works is to provide quan- titative analysis from a mathematical modeling point of view so as to understand the principles on physical behaviors of heat flow de- tection via the thermoelectric module. Additionally, the practical experiments confirm the applicability of the thermoelectric mod- ule in determining the heat flow in two modes for case studies: (1) heat conduction from the building wall and (2) thermal radi- ation in the outdoor environments. The paper is organized as fol- lows. In Section 2, the details of experimental setups are described. Section 3 provides the mathematical modeling of the thermoelec- tric module. Results and discussion are given in Section 4. Finally, the conclusion is remarked in Section 5. 2. Experimental setups Two practical scenarios are performed in this study. Initially, the thermoelectric module is developed by simply attaching a heat sink on one side. The other surface of the thermoelectric module is used for the detection of the heat flow. In the first case study, the heat flow through an accessible concrete wall of a building during the day is observed by mounting the thermoelectric module on the indoor surface of the wall as shown in Fig. 1. The voltage signal of the thermoelectric module is recorded in order to determine the corresponding amount of the heat flow from the proposed technique. In the second case study, the detection of radiation heat in the outdoor environment is investigated by facing the black-coated side of the thermoelectric module for detection to the outdoor atmosphere as depicted in Fig. 2. Again, the voltage signal is recorded to determine the amount of radiation heat, which is compared to the measurements from a pyranometer. 0019-0578/$ – see front matter © 2011 ISA. Published by Elsevier Ltd. All rights reserved. doi:10.1016/j.isatra.2011.11.003
  • 2. 346 T. Leephakpreeda / ISA Transactions 51 (2012) 345–350 Fig. 1. Experiment on heat flux through the building wall. Fig. 2. Experiment on thermal radiation within the outdoor environment. 3. Mathematical modeling of the thermoelectric module This section is to describe mathematical models for governing physical behaviors of a thermoelectric module so as to approach practical applications of thermoelectric modules on heat flow detection. For commercial products, the thermoelectric module is typically made of two ceramic plates of various sizes and shapes covering an array of (n − p) sequentially-paired semiconductors in between those as shown in Fig. 3. In general, the thermoelectric modules are widely used as heat pumps in electric cooling/heating when the DC current from a power source flows through the thermoelectric module, which subsequently causes heat transfer from one side (cold side) of the thermoelectric module to the other (hot side). In turn, cooling effects and heating effects are generated according to thermal demands at the cold side and at the hot side, respectively. In fact, the thermoelectric module can be considered a thermal–electrical circuit as depicted on the right side in Fig. 3, which is mathematically described by: v = β (Th − Tc ) + RI (1) where v is the voltage across the thermoelectric module, β is the Seebeck coefficient, Th is the temperature at the hot side, Tc is the temperature at the cold side, R is the resistance of the thermoelectric module, I is the electrical current flowing within the circuit. The amount of heat rejected by the thermoelectric module at the hot side can be determined by: QH = βITh + 1 2 I2 R − k (Th − Tc ) . (2) On the other hand, the amount of heat pumped by the thermoelec- tric module at the cold side can be determined by: QC = βITc − 1 2 I2 R − k (Th − Tc ) (3) where k is the thermal conductivity coefficient of the thermoelec- tric module. The first term on the right side of Eqs. (2)–(3) is the Seebeck heating/cooling effects. The second term characterizes the Joule heating effect associated with electrical power developed in the resistance. The third term represents the Fourier effect of heat conduction from the hot side to the cold side. From the principle of energy balance, the electrical power and the rate of heat pumped from the cold side as well as the rate of heat rejected to the hot side can be written as: QH = QC + IV. (4) It can be interpreted that the heat can be pumped from the cold side to the hot side by the electrical drive of the thermoelectric module. The parametric values of the material properties in the mathematical models can be determined experimentally with elaborated details in Section 4. In this work, the heat-flow detection is proposed by making use of the thermoelectric effects of the thermoelectric modules. As illustrated in Fig. 4, without supplying the electrical power, the circuit of the thermoelectric module is opened (I = 0) instead. While the amount of the heat, which is to be detected, transfers to the thermoelectric module instead, it is observed that the voltage measured across the thermoelectric module is proportionally varied according to the amount of heat transfered through the thermoelectric module. In this paper, it is called inflow heat detection, where the temperature of the detected media is higher than the thermoelectric module, whereas it is called outflow heat detection, where the temperature of the detected media is lower than the thermoelectric module. Without loss of generality, the inflow heat detection, for which the hot side is facing in this case, is considered in analytical study while the outflow heat detection, for which the cold side is facing, can be regarded as a similar process where the direction of the heat flow is opposite to the direction of the heat flow through the thermoelectric module in Fig. 4. Now, let us consider a schematic diagram of the inflow heat detection presented in Fig. 4. Since the thermal–electrical circuit is opened so as to obtain the corresponding condition on that there is no electrical current within the circuit, the heat rejected from the thermoelectric module and the heat pumped to the thermoelectric module in Eqs. (2)–(3) can be reduced to: QH = QC = −k (Th − Tc ) . (5) The negative sign indicates the direction of the heat flow, which is now opposite to the direction in the case that the power source is used to supply the electrical current to the thermoelectric module
  • 3. T. Leephakpreeda / ISA Transactions 51 (2012) 345–350 347 Fig. 3. Schematic diagram of the thermoelectric module and the thermal–electrical circuit. Fig. 4. Installation during inflow heat detection. in Fig. 3. To continue the analysis, let us consider the amount of the heat transfer through the thermoelectric module to be: Q o H = Q o C = k (Th − Tc ) . (6) By applying the principle of heat balance to the thermal system in Fig. 4, the dynamics of the temperatures of the hot side and the cold side as well as the heat sink can be governed by the following three equations. ρcV dTh dt = Q − Q o H (7) ρcV dTc dt = Q o C − Qs (8) ρscsVs dTs dt = Qs − Qa (9) where Q is the detected heat flow to the thermoelectric module, ρ is the density of the ceramic substrate, c is the specific heat of the ceramic substrate, V is the volume of the ceramic substrate, and the subscript s indicates those properties belonging to the heat sink. Eqs. (7)–(9) are applied in order to describe each lumped solid temperature considered in the heat flow direction from the detected media to the heat sink as shown in Fig. 4, since the heat transfer area of the thermoelectric module is noticeably larger than the perimeter area. Explicitly, Eq. (7) represents the rate of change in the internal energy stored within the hot-side control volume of the thermoelectric module due to the rates at which heat transfer enters and leaves the hot-side control volume. The same consideration is applied for the cold-side control volume and the heat sink, which are governed by Eqs. (8)–(9), respectively. However, there are temperature differences across the interfaces between the cold side of the thermoelectric module and the heat sink as well as the heat sink and the air. The temperature differences are attributed to the thermal contact resistance and the thermal resistance of the natural convection, as expressed in Eqs. (10)–(11), respectively. The heat conduction from the cold side of the thermoelectric module to the heat sink can be expressed as: Qs = Tc − Ts rs . (10) The heat convection from the heat sink to the air can be written as: Qa = Ts − Ta ra (11) where rs is the thermal contact resistance between the thermoelec- tric module and the heat sink, ra is the thermal resistance of the natural convection at the heat sink, Ts is the temperature of heat sink, and Ta is the temperature of air. It can be seen from Eqs. (7)–(11) that the temperatures of the hot side, the cold side, and the heat sink can be changed with respect to time according to the capability of heat capacity, heat conduction among the contact materials, and heat convection by cooling air. In fact, temperatures of the hot side, the cold side and the heat sink rise up until the heat transfer from the thermoelectric module to the air is the same as the amount of the heat flow from the detected media. Without loss of generality, an ideal case of perfect heat dissipation is considered in such a way that the heat sink can draw the temperature of the cold side and the temperature of the heat sink itself to the temperature of air. In other words, the thermal resistances in Eqs. (10)–(11) are assumed to be sufficiently small, where the heat sink is designed for efficient cooling. The temperature at the cold side is to be retained at a
  • 4. 348 T. Leephakpreeda / ISA Transactions 51 (2012) 345–350 Fig. 5. Response of temperature difference after contacting detected media. Table 1 Parameters of the thermoelectric module and the copper plate. Parameters Numerical values Seebeck coefficient β, (V/K) 0.0488 Thermal conductivity k, (W/K) 0.831 Size of alumina substrate V, (cm × cm × cm) 4 × 4 × 0.09 Specific heat of alumina c, (J/g K) 0.88 Density of alumina ρ, (g/cm3 ) 3.89 Heat capacitance of copper plate (J/K) 32.725 constant temperature until the steady state is reached. With the hypothesis (dTc /dt = 0), this yields mathematical manipulations of Eqs. (6)–(7) to be expressed as Eq. (12). ρcV d (Th − Tc ) dt = Q − k (Th − Tc ) . (12) Therefore, the analytical solution of Eq. (12) for a given amount of the heat flow can be obtained by: Th − Tc = Q k  1 − e −  k ρcV  t  . (13) It should be noted that obtaining the analytical solution is to give insight on how fast the response time of the theoretical case is to reach the steady-state conditions. In actual cases, the characteristics of dynamic responses may vary. From Eq. (13), once the heat flow is detected while the detected media is attached by the thermoelectric module, the magnitude of the temperature difference starts increasing with respect to time and then it reaches steady-state heat conduction with a magnitude of the ratio of the heat flow to the conductivity coefficient. The dynamic response time to the heat flow to reach the steady condition is dependent on the properties of the thermoelectric module, that is, the density, specific heat, volume of the ceramic plate and the conductivity coefficient. With property parameters in Table 1 of materials used in this study, Fig. 5 shows the dynamic response of the temperature difference of the thermoelectric module after contacting the detected media. The response time to reach the steady condition is estimated to be slightly less than 30 s. In fact, it is sufficiently fast to thermally detecting for general purpose. It should be noted that the actual response time deviates from these ideal results based on the dissipative efficiency of the heat sink as mentioned earlier. It can be noted that the more the amount of the heat flow, the larger the temperature difference it requires. Therefore, it is better to maintain the temperature of the heat sink to be as low as possible to cover the ranges of the amount of the heat flow to be detected. Under the opened thermal–electrical circuit (I = 0) at steady-state condition, the model of Eq. (13) at (t → ∞) can be substituted to Eq. (1) or the model of Eq. (6) can be substituted to Eq. (1) in order to yield the relations of the heat flow to the voltage measured across the thermoelectric module. Q = k β v. (14) It can be interpreted form Eq. (14) that the amount of heat that transfers to a given area of the thermoelectric module causes proportionally the voltage across the thermoelectric module. The thermal–electrical relation in Eq. (14) can be applied to determine the heat flow from the detected media to the thermoelectric module and vice versa. It should be noted that the inflow heat detection and the outflow heat detection can be indicated in the polarity of voltage measurement. 4. Results and discussion This section is to demonstrate examples of how the proposed technique of heat flow detection via a thermoelectric module is applied in practical uses. Initially, a thermoelectric module coupled with a heat sink, which is commonly available in product market, is experimentally tested in order to determine its properties for thermoelectric relation in Eq. (14), that is, the Seebeck coefficient and the thermal conductivity coefficient. In fact, the details of parametric determination can be found as follows. Fig. 6 shows the plots of the measured voltage against the temperature difference between the temperature at the hot side and the temperature at the cold side after the circuit of the thermoelectric module is cut off from the DC source (open circuit or I = 0). It is observed that the voltage decreases as the temperature difference reduces. From Eq. (1), the slope of the linear relation in Fig. 6 is quantified, by the best fitting method, to be the Seebeck coefficient of 0.0487 V/K, which is listed in Table 1. To determine the thermal conductivity coefficient, a hot copper plate with the same size of the thermoelectric module is well insulated at one side and another side is attached to the thermoelectric module so that all the internal energy of the copper plate is only transferred to the thermoelectric module. Therefore, the heat conduction through the thermoelectric module takes place due to the decrement of the internal energy within the hot copper plate as expressed in Eq. (6). Fig. 7 shows plots of the decreasing temperature of the copper plate against time, which can be used to determine the rate of change in the temperature of the copper plate. With the heat capacitance of the copper plate in Table 1, the heat rejected to the thermoelectric module can be determined and then it is plotted with respect to the corresponding temperature difference between the temperature at the hot side and the temperature at the cold side as illustrated in Fig. 8. The slope of the linear relation in Eq. (6) is quantified to be the thermal conductivity coefficient of 0.831 W/K, which is listed in Table 1. To verify the thermoelectric relation with those obtained parameters in Eq. (14), the plate-type heaters with different power capacities are prepared as known heat sources. Fig. 9 illustrates the comparisons of the results between the heat flow determined from Eq. (14) corresponding to measured voltages, illustrated in the solid line and the known heat flow from the plate-type heaters to the thermoelectric module as well as the known heat flow from the thermoelectric module to the cooled plates, depicted in dotted marks. It is found that results from the proposed model in Eq. (14) have good agreement on the actual heat inflow and the actual heat outflow of the thermoelectric module, where the average value of the absolute relative differences is 6.7% with a standard deviation of 2.7% in the testing experiments. Now, two practical scenarios are demonstrated as real appli- cations of the thermoelectric module on heat flow detection. The thermoelectric module is used to measure the heat flux (W/m2 ), which is determined from the heat flow through the thermoelec- tric module in Eq. (14) per the area of the thermoelectric module
  • 5. T. Leephakpreeda / ISA Transactions 51 (2012) 345–350 349 Table 2 Statistical summaries of absolute relative differences of experimental results and simulated results. Figure Minimum values (%) Maximum values (%) Average values (%) Standard deviations (%) Numbers of data 6 0.1 14.6 5.4 4.7 13 8 0.2 8.6 4.0 3.1 6 9 0.1 10.5 6.7 2.7 13 11 0.3 11.7 4.8 3.9 18 Fig. 6. Plots of voltage against temperature difference. Fig. 7. Temperature evolution of copper plate during decrease in internal energy. Fig. 8. Plots of the heat flow to the thermoelectric module against temperature difference. itself (4 cm×4 cm, listed in Table 1). Fig. 10 shows the implementa- tion of the proposed technique in determining the heat flux passing Fig. 9. Comparison of simulated results from the model in Eq. (14) with the actual heat flow. Fig. 10. Detected heat flux through the building wall during daytime. through a side of the building wall exposed to sunlight against the time. It is observed that the amount of heat flux through the wall increases and decreases corresponding to the time from sunrise to sunset. It is a fact that the thermoelectric module is used to mea- sure the amount of the heat transfer through the detected-media facing area, which is not identical to the amount of the heat transfer through the wall (without the thermoelectric module). However, those measurements can be used as proportional indicators of the heat flow in system design techniques. There are two main factors causing such differences: 1. changes in boundary conditions due to attaching the thermoelectric module to the wall and 2. contact- ing effect on thermal resistance between the detected media and the thermoelectric module. In turn, the relationship may change from one scenario to another. Fig. 11 shows variations of thermal radiation obtained from the thermoelectric module during day- time when the equipment is exposed to the outdoor atmosphere as mentioned in Section 2. Results from the proposed technique yield good agreement with the measured results from a pyranome- ter, where the average value of the absolute relative differences is 4.8% with a standard deviation of 3.9%. For Figs. 6, 8, 9 and 11, the statistical summaries of absolute relative differences between the experimental results and the simulated results such as min- imum value, maximum value, average value, standard deviation, and numbers of data are reported in Table 2.
  • 6. 350 T. Leephakpreeda / ISA Transactions 51 (2012) 345–350 Fig. 11. Detected heat flux within the outdoor environment during daytime. 5. Conclusion The proposed technique is analytically presented for viability of simple-to-use and effective application of the low-cost thermo- electric module on heat flow detection. To implement, the thermo- electric module is typically coupled with a heat sink and then it is well attached to the detected media. The heat flow from/to the de- tected media is observed from both the amount and the polarity of the voltage across the thermoelectric module. Two practical sce- narios in heat conduction through the building wall and thermal radiation within the outdoor environment are demonstrated as examples of hands-on implementations. Likewise, the identifica- tion on heat-flow thresholds can be applied to trigger appropriate action of real-time control. Acknowledgments The author sincerely thanks Tanawat Boonpanya for assistance in experiments. Also, the author appreciates the reviewers’ com- ments and suggestions for improvement. References [1] Riffat SB, Ma X. Thermoelectrics: a review of present and potential applications. Applied Thermal Engineering 2003;23(8):913–35. [2] Chein R, Huang G. Thermoelectric cooler application in electronic cooling. Applied Thermal Engineering 2004;24(14–15):2207–17. [3] Xu X, Dessel SV, Messac A. Study of the performance of thermoelectric modules for use in active building envelopes. Building and Environment 2007;42(3): 1489–502. [4] Rowe DM, Min G. Evaluation of thermoelectric modules for power generation. Journal of Power Sources 1998;73(2):193–8. [5] Hsiao YY, Chang WC, Chen SL. A mathematical model of thermoelectric module with application on waste heat recovery from automobile engine. Energy 2010; 35(3):1447–54. [6] Champier D, Bedecarrats JP, Rivaletto M, Strub F. Thermoelectric power generation from biomass cook stoves. Energy 2010;35(2):935–42. [7] Ploteau JP, Glouannec P, Noel H. Conception of thermoelectric flux meter for infrared radiation measurements in industrial furnaces. Applied Thermal Engineering 2007;27(2–3):674–81.