1. Introduction
The exploitation of ambient energy, producing electric power in the order of milliWatts is called energy harvesting. The application can be useful in powering low power electronics, reducing the need for battery replacement, maintenance, and recharging. Ambient energy is available in abundance in nature and the industry, where there is also a need for widely distributed, self-powered sensor networks that ensure optimal operation of components since wiring and installation costs account for more than half of the total cost of distributed sensor measurement systems. In this direction, energy harvesting further enables the installation of more sensors and the placement of sensors in places where wiring is not feasible. The design of wireless sensor network (WSN) nodes powered by piezoelectric energy harvesters (PEHs) is currently considered for practical application with temperature sensing being a relevant application [
1].
Today, most wireless measuring devices and networks need frequent battery replacements that limit the extension of their use. Energy harvesting technologies present a viable solution that will decrease the need for these replacements. Energy harvesters can complementarily power wireless devices and decrease the number of times battery replacement is needed. In the last decade, studies have been concerned with thermoelectric, piezoelectric, electromagnetic, and photovoltaic energy harvesting [
2]. As regards industrial applications, ABB has successfully introduced the TSP300-W, the first wireless temperature sensor [
3] powered by a thermoelectric energy harvester along with a battery. As another example, TDK introduced its “InWheelSense” piezoelectric energy harvesting and sensing module [
4] that generates power from vehicle wheel vibrations while also serving as a sensing platform to enable a variety of vehicle data-collection functions.
Piezoelectric energy harvesting (PEH) is the most popular energy-harvesting concept exploiting ambient kinetic energy through the vibration of piezoelectric transducers. Kinetic energy exists in many applications of the built environment such as engines, heavy equipment, highways, and railways [
5]. Autonomous condition monitoring of rotating machinery is a possible application of PEHs [
6,
7], as well as health monitoring of aerospace structures [
8]. The field of PEH evolved from the field of passive vibration damping [
9], which employs mechanical systems or fluids to reduce vibration in machinery. The main disadvantage of PEHs is their limited power output when the excitation frequency is far from the transducer’s resonance frequency and efforts are made to broaden their operation bandwidth [
10,
11,
12].
Piezoelectric transducers can be excited from their base vibration and also with flow-induced excitation. These two excitation modes often coexist in nature and industrial environments. For example, a PEH transducer installed on a wind turbine’s blade is subjected to flow excitation from surrounding air and base excitation from the blade’s vibration. Additionally, a PEH transducer installed on an HVAC duct is excited by the airflow in the duct and vibrating with the duct’s wall [
13]. PEHs tend to vibrate on their eigenfrequency when subjected to airflow [
14]. Flutter-type PEHs are elastic films clamped at their leading edge and free at their trailing edge. The flow excitation has been realized by Karman vortex street created by bluff bodies in water [
15] and air [
16]. The Karman vortex street has been extensively used in experiments because of the predictability of the flow excitation it creates. Harvesters employing new concepts have been presented such as the use of sliding bluff bodies to increase the power output [
17], nested bluff-body structures in tandem arrangements [
18], and coupling of vortex-induced vibration and galloping phenomena [
19,
20]. The differences in bluff body shapes were found to bring distinct dynamic behaviors [
20].
A variation of the flutter-type harvester is the inverted piezoelectric flag [
21] with which an application of autonomous wind speed measurement was presented [
22]. The inverted flag is an orthogonal film with a free leading edge and a fixed trailing edge. It has been proposed that the vibration of an inverted flag can be predicted with the use of the nondimensional bending stiffness, β [
21]. The parameter β compares the magnitude of the bending force with the fluid inertial force.
where
E is Young’s modulus,
is the fluid density,
ν is Poisson’s ratio,
U is the mean flow velocity,
h is the thickness and
L is the length of the flag. If
β is in the range
then the flag has a sustained flapping [
21]. Flapping is the desired state for the piezoelectric film in PEH as it increases the acting stresses and thus the output energy.
Piezoelectric energy harvesters are excited through contact with vibrating sources and with flow-induced vibration. The effect of a combined excitation has only recently started to be studied [
23,
24,
25]. The aeroelastic excitation has been created by vortex-induced vibration, flutter, and galloping phenomena. In all cases, the models are supported by experimental validation, which allows a better insight into the harvester’s behavior. A previous paper by the authors [
14] investigated two piezo film transducer types, placed on a specially devised experimental setup with combined excitation. The study brought insight into the frequency range with the maximum power output for piezo-film transducers by analyzing voltage output measurements.
The “general 1-D model of piezoelectric vibration energy” with a base excitation has been presented by du Toit [
26]. This model was extended to account for the combination of aeroelastic and base excitation of the transducer, as described by the following electromechanically coupled equations:
where
w is the harvester’s displacement,
wB is the base displacement,
v is the voltage,
ζm is the mechanical damping ratio, and
ωN is the natural frequency of the device. The piezoelectric element has a mass
mp and is connected to a power-harvesting circuit, modeled as a resistor.
M is a proof mass placed at the transducer’s tip. The approximate effective mass is
meff = M + mp, and d
33 is the piezoelectric constant relating charge density to stress. The 33 excitation mode is used in these equations.
Fflow is added as an average, fluctuating aerodynamic force acting on the piezoelectric element to simply describe the aerodynamic force. The 1-D model is sufficient for a first approximation of the piezo beam’s vibration. However, its linear character does not allow it to be applied in flutter-type piezo-film oscillations with a high amplitude, which are strongly nonlinear.
An important parameter for energy harvesters is the energy conversion efficiency that has been defined with various formulae in the literature. The efficiency is critical for the design optimization of PEHs and the comparison of PEHs with alternative power generation systems (thermal energy harvesters, nanogenerators, etc.). The current study proposes a definition of energy conversion efficiency, which covers only a part of the energy flow in the harvesting system, explained as follows: If one observes the energy flow in an energy-harvesting system, three parts are essential—the excitation source (e.g., structural vibration), the energy-harvesting device (e.g., PEH), and the interface circuit to the electrical energy storage (e.g., capacitor or battery). The following energy transformation steps may be observed: (i) mechanical energy is transferred from the excitation source to the PEH structure, where it is converted to strain energy; (ii) strain energy is converted to electric charge; (iii) the electrical energy is extracted from the PEH by means of a rectifier circuit and transferred to the external load, capacitor, or battery.
Energy conversion efficiency is defined as the ratio of the output energy to the input energy of a system. For PEH, this is the ratio between the output electrical energy and the input mechanical energy. As discussed in [
27], this definition has some similarities to the electromechanical coupling factor squared
, where
is the material coupling factor (electrical field in direction
i, stress in direction
j). This parameter is reported by the suppliers of piezoelectric material, to show the efficiency of the piezoelectric material in converting strain energy into electrical energy, not taking into account the specific structural design and rectification circuit. The overall harvester efficiency is usually much smaller than the material coupling factor
. The concept of coupling factor, or the coupling coefficient, has also been defined at the system level [
28] for the piezoelectric structure as
where
ωo and
ωs are the open-circuit and short-circuit natural frequencies of the vibration mode of interest. It is a measure of mechanical to electrical energy conversion within the lossless structure, and it does not account for the effects of the electrical load or the mechanical and dielectric losses.
Various expressions for the input and output energy have been proposed, and this is a reason for the large discrepancy in efficiency values reported. In 2006, Shu and Lien [
3] theoretically analyzed the energy conversion efficiency of a cantilever PEH, coupled with a full-bridge rectifier around resonance states. They assumed that the input mechanical energy was the sum of extracted electrical energy and the energy dissipated by the structural damping. The efficiency expression was
According to this definition, efficiency depends on the frequency ratio
(response frequency/natural frequency), the normalized resistance α, the electromechanical coupling coefficient
and the mechanical damping ratio
. This definition indicates that efficiency increases with a large coupling coefficient and a small damping ratio. Additionally, it is known that due to the stiffness difference of piezoelectric elements between the short-circuit (
ωn = 1) and open circuit condition (ω
n ), the frequency to obtain the maximum power output shifts with the variation of the coupling factor [
26]. As expected, a higher coupling coefficient is associated with higher PEH efficiency. Since the coupling coefficient is inversely proportional to the bending stiffness and the internal piezoelectric capacitance, designs with thin films and small internal capacitance are proven more efficient harvesters.
Several experimental studies have been conducted that investigate the capability of PEHs to extract energy. However, most lack an energy-saving circuit, and their findings on the expected power output are vast estimations. In this study, real-time measurements of the output power were performed with a piezoelectric film transducer excited with both aerodynamic and base excitation. This offers a realistic measurement of the harvested energy. The piezoelectric transducer LDT1-028K was used because of its performance during previous studies [
14], and an experimental setup was devised in order to provide improved aerodynamic and base excitation for the specific transducer. The aerodynamic excitation of the harvester was chosen using findings from previously used experimental setups [
29].
The study of the power output of a piezoelectric harvester with large deflections, in regard to its mode shapes, was attempted, using laser visualization. Additionally, power output measurements and capacitor charging curves from combined excitation are presented, and conversion efficiency was defined, measured, and mapped in the combined excitation space. The parameters that influence a flutter-type piezo film’s power output are under research and include the base vibration frequency, the film’s vibration frequency, and its tip deflection and curvature. There are always uncertainties associated with the mathematical modeling, which result from the numerous assumptions made when modeling the geometry, the boundary conditions, and the behavior of the materials [
30]. Identification of the important parameters of the physical problem through experiments is a necessary step for accurate modeling and the findings of the study are useful for validation and improvement of existing PEH models. The results of this study are of practical importance for wireless sensor networks used in structural health monitoring and other applications.
2. Materials and Methods
The piezoelectric energy-harvesting system consisted of two excitation sources—the piezoelectric transducer and the rectification and energy storage circuit. The two exciters were a 120 W centrifugal fan that created a controlled aerodynamic excitation and a cone speaker that created a sinusoidal base excitation. Experiments for this study were carried out in a 700 × 600 × 300 mm3 space in the Laboratory of Fluid Mechanics and Turbomachinery at the Aristotle University of Thessaloniki.
The commercial piezoelectric film transducer LDT1-028K was used. The film consists of a layer of fluoropolymer polyvinylidene fluoride (PVDF) covered in two sheets of polyester film. Piezopolymer film has been incorporated into sensing, actuation, and energy harvesting due to its flexible nature and biodegradability [
31]. Having one active piezoelectric layer LDT1-028K is a unimorph. The film’s characteristics are presented in
Table 1. The power output of the specific transducers in energy-harvesting applications is usually of the order of 1 μW [
32,
33], while low-power electronics need power in the order of 1 mW to function.
PVDF and other piezoelectric polymers are used in energy harvesting of vibrational energy because of their flexibility and low weight in comparison to piezoceramics that have higher piezoelectric charge coefficients, yet are brittle. PVDF can also withstand vibration fatigue. The operating temperature of LDT1-028K is 0 °C to 70 °C and the modulus of elasticity is in the range from 2 to 4 GPa as stated by the manufacturer. The natural frequency of the piezo film has been measured with an impact test [
13].
The direct piezoelectric effect is described by the linear theory of piezoelectricity [
34] by the following relation:
where
Di is the dielectric displacement [C/m
2],
dij is the piezoelectric charge coefficient [Cb/N], and
Tj is the applied stress [N/m
2]. At
dij, the first subscript is the direction of the charge motion associated with the applied stress, while the second subscript is the direction of mechanical stress. Moreover,
Ek is the electric field [V/m] and k its direction, and
εik is the piezoelectric constant [F/m] tensor under constant stress.
Coefficient
dij quantifies the charge output of a piezoelectric material when stress is applied in a given direction. The coefficient is given as a third-order tensor that is expressed as a 3 × 6 matrix that correlates the charge displaced unit area associated with applied stress. For an unstretched and poled PVDF polymer the matrix form can be written as follows:
Polarization of the PVDF film is performed in direction 3 as the electrodes are placed on the surface of the film in the manufacturing phase [
35]. Stresses 1–3 are normal and 4–6 are shear stresses. The stress direction symbols are presented in
Figure 1.
As the piezo film is used as a flutter-type harvester, it is subjected to bending, and the stress is mainly in direction 1. The values of the piezoelectric charge coefficients are given in
Table 2.
The fan’s maximum speed was 2640 rpm. Its operation curve is presented in
Figure 2. The mean flow velocity measurements were taken with a hot film anemometer. For each measurement point, 3 measurements were taken across the vertical diameter of the fan’s exit. The piezoelectric film’s tip was at a 40 mm distance from the fan’s exit throughout the experiments. The fan’s exit had a Ø86 mm circular cross section. The pressure fluctuations acted as excitation for the piezoelectric film. The fan speed was varied by an inverter from 1320 to 2640 rpm. For the specific setup, the dimensionless bending stiffness computed according to Equation (1) was in the range of 0.25–0.78, as seen in the diagram of
Figure 2. The configuration used in this study is a flutter-type harvester with a fixed leading edge and a free trailing edge. The flow did not present large amplitude vibrations on the piezo-film maximum, and thus, the mean flow velocity was below the flutter speed.
A sinusoidal excitation of the piezoelectric energy harvesters’ base is frequently present in computational studies with PEHs [
38,
39]. This base excitation was experimentally realized using a commercial cone speaker (50 W rms, 4 Ω impedance, and 180 mm diameter) that converted the input electrical signal into oscillating motion. The sinusoidal input signal was created by a signal generator (RIGOL DG1022) and was then amplified by two amplifiers, a vacuum tube preamplifier and a 2 × 25 W rms main amplifier. The input signal had a consistent peak-to-peak voltage and its frequency varied. The cone speaker’s parts are presented in the drawing of
Figure 3.
The cone was connected to a fixed coil that served as a temporary magnet, placed in front of a permanent magnet. The input electric signal was translated by the alternating magnetic force to an oscillating motion of the cone known as an excursion. The cone speaker’s vibration amplitude varied throughout the vibration frequency range, as shown in
Figure 4. The piezoelectric film was mounted on a wooden base in the center of the cone speaker, as seen in
Figure 5, in a horizontal direction with zero incidence angle with respect to the average incoming flow velocity. The maximum amplitude of the excitation was observed at 30 Hz, near the cone’s natural frequency. The cone speaker produced a sinusoidal response to the sinusoidal input signals that can be described as follows:
where
zB is the base position,
z0 is the amplitude of base vibration,
ω is the vibration frequency, and
t is time.
A KBP 206 rectifying bridge was connected to the piezo film’s output. Rectification must be included in experiments that are concerned with the final power output of harvesting as accounts for up to 50% of energy losses. The DC output was connected to a 100 μF/16 V capacitor. A 50 mW industrial 532 nm green laser line module was used to monitor the piezo film’s tip deflection and the cone speaker’s vibration amplitude. The laser highlighted the moving beam’s projection, which was captured with long-exposure photography with a NIKON D3400 camera. Measurements of the film’s tip deflection and the base’s amplitude were made with an image processing tool in Matlab/Octave.
Voltage measurements at the output of the rectifying bridge were recorded with a 16-bit 400 kSa/s data acquisition board (USB 6212, National Instruments). This was used in conjunction with a voltage divider circuit, whenever the output voltage exceeded 10 V. The test matrix of the experiments is presented in
Table 3. The measurements were performed in three main phases. Initially, the excitation was exclusively from the base in the frequency range of 20–70 Hz. In this phase, the voltage output of the energy harvester to the capacitor was measured (◊). Additionally, long exposure photos of the laser sheet’s projection in a vertical plane along the main axis of the transducer (□) were taken and processed. In the second phase, the excitation was solely aerodynamic. In this phase, the same types of measurement were performed with the addition of mean flow velocity measurements (O). Next, the third phase of measurements was performed by repeating the first series of measurements 10 more times, with added aerodynamic excitations in the range of 1320 to 2640 rpm fan speed. In summary, 110 combinations of the 2 excitation modes were added.
4. Strain Energy Computations
For each oscillation stroke of the transducer, starting from its neutral position to its lower position, an amount of electric charge is displaced and may be transferred through the transducer’s terminals to charge an external capacitor after being rectified. An approximately equal and opposite charge is produced upon the return of the transducer from its lower extent toward the neutral. In summary, provided that a perfect rectifier diode circuit is connected to the transducer’s terminals, a total of four Q would charge the externally connected capacitor for every full period of oscillation. It is assumed that the power output to the external capacitor would amount to four Q f, where f is the frequency of oscillation, and Q is the electric charge displaced during bending of the thin beam from its neutral to its maximum bending position. On an energy basis, the charge output energy may be assumed to be produced by a transformation of the total strain energy of the piezo-beam as it goes from neutral to full flexure position. To maximize the charge output of the piezo film, it is necessary to maximize the product: (frequency of oscillation) × (strain energy at the point of maximum tip deflection). The product is expected to be maximized during resonance. In the absence of damping, this will be the natural frequency of the beam. A beam made of elastic material that obeys Hooke’s law is known to deform in such a way that the curvature
K of the elastic curve is proportional to the bending moment
M.
where
E is Young’s modulus,
I is the moment of inertia of the cross section of the beam about a horizontal line passing through the centroid of the section and lying in the plane of the cross section, and
y is the ordinate of the elastic curve. This is the Bernoulli–Euler law. The elastic strain energy
ES of the piezo film is defined by integration over its length as follows:
where the beam curvature is a function of both the position along its length and time, and
B is the flexural rigidity of the piezo film,
where
h is the film’s thickness,
E is Young’s modulus 2.4 × 10
9 N/m
2, and
ν is Poisson’s ratio ν = 0.38 for a polycarbonate film. Now, it can be assumed as a first approximation that the electrical energy stored in the capacitor at the output terminals of the piezoelectric transducer during one-fourth of its period of oscillation will be proportional to its elastic strain energy at its maximum tip deflection position as follows:
where
η is the energy conversion efficiency,
is the time corresponding to an oscillation extremum (maximum tip deflection points), and the value of
B in our specific case of interest is
The instants with maximum tip deflection (upper and lower oscillation extrema positions) were captured with laser sheet lighting, as demonstrated in
Figure 14. The elastic curve was digitized from each photograph and approximated by polynomial regression. Thus, the integral of Equation (13) can be computed. In this way, the strain energy of the piezo film at its oscillation extrema is calculated as a function of its maximum tip deflection points, mapped in
Figure 15. To speed up the computation, the results can be fitted by a third degree polynomial, which correlates the strain energy at the beam’s oscillation extrema to the maximum tip deflection as follows:
where
x is the maximum tip deflection and the coefficients α
1, α
2, α
3 take the values 7 × 10
−8, 6 × 10
−9, and 5 × 10
−10, respectively for the specific piezoelectric film. Thus, the tip deflection of the piezo film that has been accurately measured for various base frequency and fan speed combinations (
Figure 15) is transformed to the strain energy map, as presented in
Figure 16.
This procedure allows a better insight into the correlation of the harvester’s output with the strain energy calculated based on the beam’s curvature at its oscillation extrema. According to the results presented in
Figure 17, for base vibration only (base excitation frequency in the range of 20–70 Hz), the harvested power may be predicted based on the strain energy at maximum tip deflection with acceptable accuracy.
The harvested power curve presents a strong similarity to the curve of the (base oscillation frequency) × (maximum strain energy) product, also presented in this Figure. Each period of oscillation comprises four strain energy change steps (i.e., from upper extremum to neutral line, from neutral to lower extremum, and the opposite two changes), and the conversion efficiency is defined by dividing the harvested power to the quadruple of the product (frequency × strain energy). The conversion efficiency calculated lies in the range of 0.05–0.13. Using this definition, a map of the harvester’s conversion efficiency for all combinations of excitation measured was created and presented in
Figure 18.
According to the map, the conversion efficiency values range from 0.03 to 0.14 in the full space of combinations of 25–70 Hz base vibration frequency and fan speeds from 1320 to 2640 rpm. The highest values are observed at 45 Hz base frequency and maximum fan speed. This is the range with the highest tip deflections and highest harvested power measured. The reported efficiency values generally agree with the range reported by several researchers [
25,
27]. On the other hand, as already discussed in the introduction, several different definitions exist in the literature, and this partially explains the fact that the efficiency values reported may differ by orders of magnitude. Since the energy flow in an energy-harvesting system comprises the excitation source, the PEH, and the rectification circuit up to the storage capacitor or battery, if one defines the input energy as the energy supplied by the excitation source to the PEH structure before it is converted to strain energy, then the resulting efficiency would seem very low. For example, in the specific test rig employed in this study, the cone speaker would receive a few Watts from the amplifiers, and the flow exiting the fan would have a power of a few Watts (computed as the product of volume flowrate times backpressure). The fact that we defined the PEH efficiency, not as overall energy efficiency in the above sense, but only to cover the transformation of the transducer’s strain energy to electric energy, creates a level ground for comparison of different transducers by excluding the effects of the design and implementation of their specific testing facilities. As demonstrated by the measurements and processing reported in this paper, the specific test rigs and processing codes allow for fast screening and performance mapping of different types of PEHs, to focus on optimum energy-harvesting efficiency and assessment of modified design versions to fit specific energy-harvesting applications.