Hunter2012 Review of Pyroelectric Thermal Energy Harvesting and New Mems Etc
Hunter2012 Review of Pyroelectric Thermal Energy Harvesting and New Mems Etc
Hunter2012 Review of Pyroelectric Thermal Energy Harvesting and New Mems Etc
Table 1 shows some of the more common techniques discussed in the literature to extract useful
amounts of energy from the environment, along with the energy densities that are potentially achievable with
these scavenging techniques2. The actual power available from these sources is generally quite small, except
perhaps from bright sunlight. Only the thermoelectric and pyroelectric power conversion techniques listed in
the table can be used to directly convert thermal energy to electricity, but even after several decades of intense
research, thermoelectrics are still limited to 1-5% efficiencies for realistic temperature gradients. Only the
relatively unexplored pyroelectric energy harvesting technique offers the possibility of conversion efficiencies
(and power densities) that are several time those presently achievable using thermoelectrics.
Recent modeling and experimental measurements indicate that pyroelectric thermal energy
scavenging has the potential for system level conversion efficiencies in the 10-20% range with Carnot
efficiencies approaching 50-80%. Furthermore, many pyroelectric materials are stable up to temperatures
approaching 12000C, enabling energy harvesting from high temperature sources with a much improved
thermodynamic efficiency. The primary advantage of thermoelectric
energy conversion techniques is that these devices only require a
steady state temperature gradient to operate (Figure 1a) and (a)
consequently possess no moving parts that can limit device reliability
and life. Pyroelectric converters only generate electricity when there is
a change in temperature across the device (Figure 1b), and one of the
significant challenges with the technique is to efficiently generate
rapidly time varying temperature gradients across the device from (b)
waste energy streams that possess constant or very slowly time varying
temperature gradients. Electrical current, and hence power, generation
is directly proportional to the rate of change in temperature across the
pyroelectric material, and one of the significant advantages of the
present resonantly driven pyroelectric converter is that we have
demonstrated rates of change in the temperature across a pyroelectric Figure 1. Schematics of (a) a
0 thermoelectric and (b) a pyroelectric
cantilever structure of ∼ 1000 C/sec – orders of magnitude greater than energy converter.
previously fabricated pyroelectric converters.
where TH is the temperature of the heat source and TL is the temperature of the heat sink. Consequently, a
thermal gradient of 10C at room temperatures leads a maximum Carnot efficiency of 0.33%, while a 1000C
temperature gradient gives a Carnot efficiency of 25%. Large temperature gradients not only lead to greater
power generating capacity, they also lead to higher system power conversion efficiencies. Thermal energy
conversion only becomes economically viable when source and sink temperature differences are greater than
a few 10s of degrees except under exceptional conditions where power generation is at a premium.
In real world thermal energy converters, there are additional sources of power loss that reduce the
overall system efficiency that can be achieved with the device. Pyroelectric thermal power generators
convert heat (Qin) into electrical power (Wout) with efficiency:
(2)
The pyroelectric current Ip produced during the cycle shown in Figure 3 is:
dPS dT
I p = Af = Af p (3)
dt dt
Although a more recent attempt by Ikura and his colleagues25-29 to develop pyroelectric energy
converters by alternately shuttling hot and cold fluids across sets of pyroelectric capacitor plates achieved
much higher power conversion efficiencies (up to 5.7% system conversion efficiency with a Carnot efficiency
of 37.5%), the fabricated device suffered from the same low power generation problems25-29. The results
obtained from the Olsen and Ikura studies are summarized in Table 2 along with other recent studies by
The MEMS based pyroelectric power generator outlined in this paper operates at much higher
frequencies (10s of Hz to 100s Hz), using thin film structures with low thermal masses and comparatively
high dielectric strengths, and high thermal conductivities (giving fast ΔT/Δt and hence large ΔQ/ΔT). The
innovative use of the heat source to power the temperature cycling through the converter using bimaterial heat
sensitive structures, and use of resonantly driven cantilever motion to rapidly move the converter through the
temperature cycle leads to high efficiency operation (i.e. WP ≈ 0 in Equation 2). Encapsulating the generator
in a partially evacuated enclosure also minimizes heat losses through gas convection and conduction
processes (i.e. QLeak ≈ 0 in Equation 2). Consequently, expected conversion efficiencies of a fully optimized
converter will be as high as 80-90% of the Carnot limit.
Figure 7. Schematic of a pyroelectric energy harvester device, Figure 8. Schematic showing the details of the
consisting of a bimaterial cantilever structure, which alternately contacts construction of the capacitive cantilever thermal
the hot and cold surfaces, generating an electrical current in the energy converter and split anchor structures.
pyroelectric capacitor.
Figure 12. Cantilever tip displacement (blue) and Figure 13. Temperature changes analyzed at the cantilever
temperature (red) analyzed at the cantilever tip contact point tip contact point and at points 200 µm and 500 µm from the
as a function of time for ΔT=150K, kcont = 3 W/mK and tip as a function of time for ΔT=150K, kcont = 3 W/mK and
L=1mm. L=1mm.
Figures 14 and 15 summarize the expected maximum power that can be generated with a pyroelectric
device operating under the resonant temperature cycling conditions modeled above. These results were
generated for a device with a pyroelectric material having a pyroelectric coefficient ρ = -3.5 μC/m2K (e.g.
Figure 14. Modeled power output as a function cycled Figure 15. Modeled power output as a function of
temperature difference at a temperature cycling frequency temperature cycling frequency with a 70K temperature
of 80 Hz. difference.
These simulations demonstrated the complexity of the task required to accurately simulate and predict
the operation and efficiency of the heat transfer process. Similar calculations are required to understand
operation of the device once the pyroelectric energy conversion capacitors are incorporated in the cantilever
structures. These calculations will be performed in subsequent studies.
Figure 17. (Left) Vacuum test chamber and optical diagnostics used to characterize the performance of the resonating
cantilever structures and (Right) a magnified image of the cantilever, TE cooler and cooled heat sink.
Figure18 shows two image frames taken by the video camera showing the cantilever oscillating with
a total tip displacement of ∼ 10μm. Finite element modeling of the cantilever motion shows a similar
cantilever tip displacement of ∼ 10μm when the oscillation has achieved steady state. These results are shown
in Figure 19, along with the modeled change in cantilever temperature as a function of time. The peak
temperature change is 15K in agreement with the estimated cantilever temperature change based on the
measured cantilever responsivity. The cantilever was oscillating at ∼ 20Hz under these conditions which
implies a rate of temperature change dT/dt ∼ 300K/sec. This is orders of magnitude greater than has been
achieved by the pyroelectric converters discussed in Section 1, and leads to the possibility of much more
efficient thermal-to-electrical energy conversion with higher power densities than previously achievable.
Figure 18. Two images taken from a short video showing the cantilever Figure 19. Modeled tip displacement and
oscillating with a tip displacement of ∼ 10μm. cantilever temperature.
ACKNOWLEDGEMENTS
Research sponsored by the Laboratory Directed Research and Development program at the Oak
Ridge National Laboratory, managed and operated by UT-Battelle, LLC, for the U. S. Department of Energy
under Contract No. DE-AC05-00OR22725.
REFERENCES
[1] Lawrence Livermore National Laboratory, “Estimated U.S. energy use in 2009,”
https://flowcharts.llnl.gov/
[2] J. A. Paradiso and T. Starner, “Energy scavenging for mobile and wireless electronics,” Pervasive
Computing, IEEE, 4, pp. 18-27, (2005).
[3] Lang, S., “Pyroelectricity: From ancient curiosity to modern imaging tool”, Phys. Today 58, 31-36
(2005).
[4] Clingman, W. H. and R. G. Moore, "Application of ferroelectricity to energy conversion process," J.
Appl. Phys, vol. 32, pp. 675-681 (1961).