Energy harvesting using thermoelectricity for IoT ...

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TOPICAL REVIEW • OPEN ACCESS Energy harvesting using thermoelectricity for IoT (Internet of Things) and E-skin sensors To cite this article: Hwanjoo Park et al 2019 J. Phys. Energy 1 042001 View the article online for updates and enhancements. You may also like Large anisotropic thermoelectricity in perovskite related layered structure: Sr n Nb n O 3n+2 (n = 4,5) Akihiro Sakai, Kouhei Takahashi, Tsutomu Kanno et al. - Calculation of parameters of power plants for autonomous power supply systems T V Khomenko and S V Vinogradov - Strain-induced bi-thermoelectricity in tapered carbon nanotubes L A A Algharagholy, T Pope and C J Lambert - Recent citations Wireless Technologies for Energy Harvesting and Transmission for Ambient Self-Powered Systems Chengmei Jiang et al - Large thermoelectric power factor in wafer- scale free-standing single-walled carbon nanotube films S. Horike et al - A review on the development of conjugated polymer-based textile thermoelectric generator Vivek Jangra et al - This content was downloaded from IP address 65.21.228.167 on 07/11/2021 at 03:39

Transcript of Energy harvesting using thermoelectricity for IoT ...

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TOPICAL REVIEW • OPEN ACCESS

Energy harvesting using thermoelectricity for IoT(Internet of Things) and E-skin sensorsTo cite this article: Hwanjoo Park et al 2019 J. Phys. Energy 1 042001

 

View the article online for updates and enhancements.

You may also likeLarge anisotropic thermoelectricity inperovskite related layered structure:SrnNbnO3n+2 (n = 4,5)Akihiro Sakai, Kouhei Takahashi, TsutomuKanno et al.

-

Calculation of parameters of power plantsfor autonomous power supply systemsT V Khomenko and S V Vinogradov

-

Strain-induced bi-thermoelectricity intapered carbon nanotubesL A A Algharagholy, T Pope and C JLambert

-

Recent citationsWireless Technologies for EnergyHarvesting and Transmission for AmbientSelf-Powered SystemsChengmei Jiang et al

-

Large thermoelectric power factor in wafer-scale free-standing single-walled carbonnanotube filmsS. Horike et al

-

A review on the development ofconjugated polymer-based textilethermoelectric generatorVivek Jangra et al

-

This content was downloaded from IP address 65.21.228.167 on 07/11/2021 at 03:39

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J. Phys.: Energy 1 (2019) 042001 https://doi.org/10.1088/2515-7655/ab2f1e

TOPICAL REVIEW

Energy harvesting using thermoelectricity for IoT (Internet of Things)and E-skin sensors

Hwanjoo Park,Dongkeon Lee,Gimin Park, Sungjin Park, SalmanKhan, JiyongKim andWoochul KimSchool ofMechanical Engineering, Yonsei University, Seoul 120-749, Republic of Korea

E-mail: [email protected]

Keywords: thermoelectricity, IoT, energy harvesting, body-heat harvesting

AbstractWith the increasing demand for Internet of Things (IoT)with integratedwireless sensor networks(WSNs), sustainable power supply andmanagement have become important issues to be addressed.Thermal energy in forms of waste heat ormetabolic heat is a promising source for reliably supplyingpower to electronic devices; for instance, thermoelectric power generators arewidely being researchedas they are able to convert thermal energy into electricity. This paper specifically looks over theapplication of thermoelectricity as a sustainable power source for IoT includingWSNs. Also, wediscuss a few thermoelectric systems capable of operating electronic skin (e-skin) sensors despite theirlow output power frombody heat. For amore accurate analysis on body heat harvesting,models of thehuman thermoregulatory systemhave been investigated. In addition, some clever designs of heat sinksthat can be integratedwith thermoelectric systems have also been introduced. For their powermanagement, the integrationwith aDC–DCconverter is addressed to boost its low output voltage to amore usable level.

1. Introduction

In 1999, Kelvin Ashtonfirst introduced the concept of ‘Internet of Things (IoT)’which emphasized humandependency on internet and computers to gather information [1]. IoT integratesmany objects with theirsurroundings through networks affecting the users’ quality of life [2–4]. Typical IoT systems include sensors,processors, a transmission component and a power source to allow interaction between the user and theelectronic system [4].Moreover, the demand forwireless sensor networks (WSNs) has increasedwhere efficientsustainable energy harvesting and energymanagement still remain key issues [5]. Since the past decade, themarket for internet-connected smart devices has grown to reach over a trillion dollars [6]. IoT systems consist ofseveral components: sensors to acquire information fromobjects, communication and processing devices todeliver information, and a cloud service to collect and transfer information. IoT systems using smart devicesallow awide range of applications including, but not limited to, home appliances, health care devices,transportation, and industry. For example, amonitored terrestrial ecosystemwhich collects and transfers theconsequential information to a data storage has been proposed [7]. IoT systems are also applied in homes andindustries in various forms such as transceivers, receivers, and sensors to detect any changes inmotion, ambientconditions, smoke/fire, and security [8]. IoT systems are alsowidely used infields of airbornewireless networksto communicate with a ground station or a satellite system [9]. Inmeans of their continuous operation, energyharvesting from the surrounding environment can act as the sustainable power source forWSNs [10]. Commonforms of harvestable energy from the ambient environment include solar energy [11–15], wind energy [16–20],and thermal energy [21–23]. Of these forms, wemainly focus on thermal energy and its conversion to electricity(widely known as thermoelectricity). The thermoelectric effect is the energy conversion process between thermaland electrical energy [24]. An advantage of thermoelectric power generation is its sustainable and reliableconversion of thermal energy into electricity with nomoving parts.With the increasing demand ofWSNs, thethermoelectric generators (TEG) have received the spotlight as a source of sustainable power supply. The

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researches about the application of thermoelectricity forWSNs in various environments will be introduced insection 2.While the demand for smart devices related tomonitoring the health of a human has been increasing,the human body heat has been focused as the power source for sustainable operation. At the beginning ofsection 3.1, body heat harvesting using flexible TEGwill be introduced. Amore detailed system including bodyheat harvesting, powermanagement and operation of sensors will also be addressed. To reproduce the humanbody behaviormore accurately, a detailed analysis on body heat harvesting is conducted by examining varioushuman thermoregulatorymodels in section 3.2 In addition, various heat sinkmodels with the potential of beingintegratedwith thermoelectric systems are also explored in section 3.3 for further enhancement of the system. Asthe output voltage frombody heat harvesting-based thermoelectric systems stands only at about several tens ofmV [25, 26], a voltage converter or a voltage booster is required to operate sensors. Researches on voltageconverters will be explored in detail, section 3.4, as their integrationwith thermoelectric systems is yet anunfamiliar field of research.

2. Sustainable energy harvesting for IoT system

Asmentionedbefore, for continuous use of IoT systems, especially forWSNs, a sustainable power source basedonenergyharvesting is required. To convert diverse formsof energy from the ambient environment such as solar,wind, thermal, andmechanical energy into electrical energy, variousmethods of energy harvestinghave beenresearched as followed. Piezoelectric effects have beenwidely researched toharvest energy fromfluidmotion[27, 28], humanmotion [29–34], andwind [16, 19, 20]. Although theyharvest notable amounts of energy fromvarious conditions asmentioned above, they donot guarantee sustainability as energy is not harvestedwith anymotion. Energyharvesting using the triboelectric effect through contact electrificationhas also been researched for abroader usage [35–40]. Such effect has beendemonstrated [41]byharvesting energy fromwater drops [42, 43] andalso inmicro-scales-waterwaves [44, 45].Despite its possibility to be used as an energy source forWSNs, it stillrequires an actuating part, similar to piezoelectric energyharvesting. Solar energy, awidely used source of energy, is asuitable candidate for sustainablepower supply ofWSNs [11–15]. Although solar energyharvesting advances inhigh sustainability, its biggest drawback lies in the short durationof its operation time.

Unlike solar andwind energy, an imponderable amount of thermal energy from the industrial field isreleased as waste heat [46]. Thus, energy harvesting from this waste heat has also beenwidely researched infieldsof transportation [47–50] and industry [51, 52].Where there is thermal energy, TEG can be a sustainable powersupply forWSNs.Nakagawa et al [53] demonstrate a thermoelectric generator systemwith an internal heatstoragemade of paraffin.When installed on a bridge, it successfully harvests 58.5 J of heat energy per day,demonstrating its possible outdoor usewithWSNs. Samson et al [54] demonstrate the installation of athermoelectric generator with a heat storage, voltage converter, and awireless sensor unit on an aircraft fuselage,as shown infigure 1(a). The heat storage unit containswater as the phase changematerial (PCM) tomaintain atemperature difference along the thermoelectric generator. The thermoelectric system successfully operates thewireless sensor unit with a power consumption of 189μWunder the converted output voltage of 3.3 V. Zhu et al[55] demonstrate the thin-film based thermoelectric device integratedwith solar energy source, as infigure 1(b).To enhance the concentration of illumination intensities on hot side of thermoelectric device, a Fresnel lens wasincorporated into the system.With increasing illumination intensities, the harvested energy fromthermoelectric device is also enhanced, inwhich output voltage represents light intensity acting as light sensor.This work demonstrates the thermoelectric device for harvesting solar energywhich also acts as a light sensor.

For a broader application of thermoelectric systems, the demand forflexible TEGhas grown incomparably.Conventional thermoelectricmodules are in rigid formswith ceramic plates on top and bottom sides whichlimit their application toflat surfaces. To overcome such limitation, thermoelectric devices based on a flexiblesubstrate using a printingmethod [56–62] or structural designwith inorganic bulk thermoelectricmaterials[25, 26, 47, 63] have been researched. Thermoelectricmaterials used near room temperature aremainly Bi-Tebased compounds, Bi2–xSbxTe3 for p-type andBi2Te3–xSex for n-type, due to its high thermoelectricperformance [64, 65].Materials for both printing and inorganic bulk thermoelectricmaterials are based onBi-Te compounds. For thematerial for printing, Bi-Te powdersmixedwith solvents are adopted for themanufacturing [58, 61]. Inorganic bulk thermoelectricmaterials used near room temperature are normallyBi-Te compounds in polycrystalline structure. Kim et al [66] demonstrate aflexible thermoelectric generatorthat powers awireless sensor nodewhile attached to a curved heat pipe, as infigure 2(a). For flexibility, the deviceconsists of inorganic bulk thermoelectricmaterials embedded in aflexible polymer [25].With the temperatureof the heat pipe and ambient air set constant at 70 °Cand 20 °C, respectively, in an experimental setup, amaximumpower density of about 2.2 mW cm−2 is harvested. The harvested power transferred to the powermanagement IC is then boosted to 4.2 Vwith a voltage converter and down to 3.3 V for operationwhile thesurplus power is used to charge a battery.WSNs integratedwith TEG successfully collect and transfer

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information on the temperature of ambient air and the circular pipe, CO2 concentration, and open circuitvoltage. Iezzi et al [67] demonstrate aflexible thermoelectric generator integratedwithwireless sensors that aremanufactured from a printing process. To fabricate the thermoelectric device, bulkmetallicmaterials, Ag andNi, are used as the p- and n-type, respectively. The devices, as shown infigure 2(b), are installed vertically on aheat pipe in an experimental setup. The output voltage is then boostedwith a commercial DC–DCconverter(LTC 3108) to charge a super capacitor. The charged capacitor successfully operatesWSNs to transmitinformation on temperature to the user.

Researches on operatingWSNs by harvesting energy from thermoelectricity have beenwidely conducted invarious environments asmentioned above.With the existence of a reliable heat source,WSNs poweredwith

Figure 1. (a)Wireless sensor systempowered by aircraft specific thermoelectric energy harvesting [54]. (b) Schematic of the thin-filmthermoelectric device integratedwith an optical concentrator [55]. (a)Reprinted from [54], Copyright 2011, with permission fromElsevier B.V. All rights reserved. (b)Reprinted from [55], Copyright 2017, with permission fromElsevier. All rights reserved.

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thermoelectric devices can be applied. For efficient energy conversion, however, other components such as heatsink should also be considered.More details about heat sinkwill be addressed in section 3.3.

3. IoT systemusing body heat harvesting

3.1. Body heat harvestingRecently, there has been a great amount of interest in health care andmedical applications; thus, sensors capableofmonitoring the patient’s health conditions for a long period of time are longed for. There are numerous kindsofmedical sensors thatmeasure the conditions of a patient. For example, blood pressure sensors,

Figure 2. (a) Systemofwireless sensor nodes powered by aflexible thermoelectric generator [66]. (b) System of printedmetal-basedthermoelectric generator for poweringwireless sensor [67]. (a)Reprinted from [66], Copyright 2018, with permission fromElsevier.All rights reserved. (b)Reprinted from [67], Copyright 2017, with permission fromElsevier. All rights reserved.

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electromyography sensors, electrocardiography (ECG) sensors, and SpO2 pulse oximetry sensors arewidelyused tomonitor patients with health issues. Themost important requirement of the aforementionedmedicalsensors is a stable and continuous power supply. To supply sustainable power formedical sensors,thermoelectric devices capable of generating power by harvesting heat from a human body are used. The humanbody can be used as a heat source as it generates heat continuously thoughmetabolism; however, to do so, it isimportant to understand the human thermoregulatory system. The thermoregulatory systemof the humanbody controls its skin temperature and therefore certain parts of the body aremore suitable to operate certaindevices than the rest as shown infigure 3.However, the conventional TED is hard to adapt on to the human skindue to its rigidity. Tomake thermoelectric devicesmore applicable to the human skin, researches onflexibleTEG are being actively conducted.Majority offlexible TEG for body heat harvesting are based on inorganic bulkthermoelectricmaterials instead of printedmaterials. Since thermal energy from a human body is so called the‘low-grade heat’, it is hard to yield a sufficient amount of temperature difference in a film-type thermoelectricdevice due to its small thickness forflexibility. Kim et al [59] demonstrates the body heat harvesting using thin-film basedflexible thermoelectric device while generating only an output power of 3 μW.Most researchesrecently published onflexible thermoelectric devices for body heat harvesting adopt inorganic bulkthermoelectricmaterials which have sufficient height to retain enough temperature difference.

Table 1 shows the experimental results of body heat harvesting using TEG. Researches referenced in table 1have used inorganic bulk thermoelectricmaterials based onBi-Te compounds. Suarez et al [69] use inorganicbulk BiTe compounds and EGaIn as theflexiblemetal liquid electrodes which are placed on both top andbottom sides of their FTED, as infigure 4(a). The liquidmetal is encapsulated in polydimethylsiloxane (PDMS)to prevent leakage. The device was able to generate a voltage ranging from1.47 to 2.96 mV and power from

Table 1.Experimental results of thermoelectric generators on human body.

References Number of TE couples Output power density (μW cm−2) Open circuit voltage (mV) Deviceflexibility

Kim et al [25] 72 2.28 21.2 Flexible

Suarez et al [69] 32 0.37 3.5 Flexible

Park et al [26] 15 5.60 8.8 Flexible

Eom et al [63] 20 3.20 6.6 Flexible

Kim et al [59] 11 0.70 2.9 Flexible

Hyland et al [70] 25 4.60 12.0 Rigid

Wang et al [71] 52 0.30 6.6 Flexible

Kim et al [72] 50 13.00 60.0 Flexible

Figure 3. Schematic of body heat powered E-skins by using thermoelectric generator andwireless sensor system [68]. Reprinted from[94], Copyright 2019, with permission fromElsevier.

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1.48 to 6.0 μWunder varying air velocity conditions. Eom et al [63] demonstrate a bracelet-shapedthermoelectric device based on rigid inorganic bulk thermoelectricmaterials which has a hinge structure, so itcan be structurally flexible as infigure 4(b). The bracelet-shaped thermoelectric device attains an output powerranging from40 to 80 μWwith open circuit voltage from6.7 to 9.1 mV. Park et al [26] propose amat-shapedflexible thermoelectric device. It is specialized to be applied to a curved surface. Cubic-shaped inorganic bulkthermoelectricmaterials are inserted into holders that can be connected to each other with awire. Considering

Figure 4. Flexible thermoelectric generator based on inorganic bulk thermoelectricmaterials for body heat harvesting: (a) deviceintegratedwith liquid-metal electrode [69]. (b)Watch-shaped device to be applied on human’s wrist [63]. (c)The device with largearea and highflexibility [25]. (a)Reprinted from [69], Copyright 2017, with permission fromElsevier. (b)Reprinted from [63],Copyright 2017, with permission fromElsevier. All rights reserved. (c)Reprinted from [25], Copyright (2018), with permission fromElsevier. All rights reserved.

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that the radius of curvature of an adult human arm ismore than 30 mm, the radius of curvature of themat-shaped FTED is less than 12 mm; thus, it is suitable for human body heat harvesting. Theflexible thermoelectricdevice harvests energy frombody heat andwas able to obtain an output power of 138.67 μWwith an 8.8 mVopen circuit voltage. Kim et al [25]demonstrate a flexible thermoelectric device inwhich inorganic bulkthermoelectricmaterials are embedded in aflexible polymer, as shown infigure 4(c). Body heat harvesting isconducted under various conditions: varying height of thermoelectricmaterials, fill factor, and air velocity,while themaximumoutput power and voltage are 1.46 mWand 38.24 mV, respectively.

Asmentioned above,many studies on body heat harvesting using aflexible thermoelectric generator arereported and are still ongoing. Further applications on self-poweredWSNs driven by body heat harvesting arebeing carried out widely. Thielen et al [73] propose an application of TEGon a human’s wrist integratedwith aDC–DCconverter as infigure 5(a). Two different types of TEG are demonstrated:μTEGwhich has a lowthermal resistance with a high output voltage andmTEGwhich has a high thermal resistancewith a lowelectrical resistance. Proposed TEGs showhigh output power densities, which range from13 to 14 μWcm−2,with amaximumof 24% converting efficiency.Magno et al [74] propose amulti-source harvesting circuit whichconsists of a solar harvester and aTEG for body heat harvesting.While harvesting an average power up to550 μWbyphotovoltaic in indoor situations, the TEGharvests 98 μWwith a 3 K temperature difference fromahumanbody. Themulti-source harvesting system successfully operates several devices such as a camera,microphone, accelerometer and temperature sensor.Myers et al [75] present a thermoelectric body heatgenerator integratedwith components that transmit powermanagement data and various sensors, as shown in

Figure 5. (a)Abody heat poweredwearable thermoelectric system and its conversion performance [73, 76, 77]. (b)Thermoelectricgenerating systemoperating sensors powered by body heat [75]. (a)Reprinted from [73], Copyright 2017, with permission fromElsevier. All rights reserved. (b)Reprinted from [75], Copyright 2017, with permission fromElsevier. All rights reserved.

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figure 5(b). The proposed systemdemonstrates a successful operation of sensors under varying temperature andhumidity conditions while the subject is either running, walking or resting.Necessity for consideration of wetbulb temperaturewhile body heat harvesting is also demonstrated.Wang et al [71] demonstrate the operation ofaminiaturized accelerometer powered by body heat harvesting on a human’s wrist, as infigure 6(a). Theproposedflexible TEG ismade of inorganic bulk thermoelectricmaterials which are embedded in PDMS. Itsuccessfully generates an open circuit voltage of 6.6 mV from ahumanbody under indoor conditions. Tooperate aminiaturized accelerometer which requires 2.4 μWof powerwith a 1.6 mVvoltage, a DC–DCconverter with an efficiency of 50% is adopted to boost the voltage up to 2.2 V. A demonstrated thermoelectricsystem successfully operates theminiaturized accelerometer powered frombody heat, as infigure 6(a). Kim et al[72] represent a self-poweredwearable ECG systemusing aDC–DCconverter, as infigure 6(b). The systemconsists of aDC–DCconverter, VDD shifter and an ECGmodule. The ECG sensor is fabricated on a flexibleprinted circuit boardwhile the power is supplied through the flexible TEGusing human body heat. TheflexibleTEGharvests 1 mWof powerwith 40–100 mVof open circuit voltage. To operate the ECG sensor, voltage isboosted up to 3.3 Vusing a commercial DC–DCconverter (LTC3108) and dropped down to 1.0 V through aVDD shifter. Due to the existence of efficiency for voltage converting, 70 μWof power is supplied, inwhich itsuccessfully operates the ECG sensor.

Figure 6. Flexible thermoelectric systemwith a voltage converter andwireless sensor powered by body heat: (a) the systemoperatingan accelerometer fromhumanmotion [71]. (b)Operation of self-poweredwearable electrocardiography [72]. (a)Reprinted from[71], Copyright 2018, with permission fromElsevier. All rights reserved. (b)Reprintedwith permission from [72]. Copyright 2018AmericanChemical Society.

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In designing the thermoelectric system, the thermal contact resistance between the thermoelectric deviceand the heat source or sink should be also considered. Especially when applied to a human body inwhich thetemperature difference between the top and bottom side of thermoelectric device is relatively small compared toindustry applications, the reduction of thermal contact resistance is crucial in achieving high power generation.

3.2.Human thermoregulatorymodelFor accurate prediction or analysis of body heat harvesting by aflexible TEG, understanding of the humanthermoregulatory systemmust be preceded. The human body has an intricate built-in system to regulate itstemperature tomaintain a balance betweenmetabolic heat production and heat loss to the environment. Thisbalance between heat production and loss is important inmaintaining a constant core temperature of thehuman body [78]. This thermoregulatory system is divided further into two parts consisting of active and passivesystems [79, 80]. The active systemdirectly controls the temperature of the body throughmeans of sweating,shivering, vasoconstriction, and vasodilation [80]. This leads to the rise and fall of the skin temperatures tomaintain a balance between heat production and heat loss. The passive system represents the geometry of thehuman body,metabolic heat production, and the thermal interaction of the human bodywith the environment(convection, radiation, and evaporation) [81]. Throughout the years,manymodels have been developed tosimulate the thermoregulation of the human body. The thermoregulatorymodels can be divided into twomajorcategories as infigure 7(a). Thefirst simplermodel is the two-nodemodel. The key feature of the two-nodemodel is the representation of the human body as cylinders (single-segment) consisting of its core and skin [82].This simplification allows for a quick analysis of the human thermal system. Themulti-nodemodel ismorecomplicated as it represents the human body as cylinders subdivided into usually the core,muscle, fat, and skinlayers [78].

Themost well-known two-nodemodel was developed byGagge in 1971 [82]. The human body inGagge’smodel is treated as two coaxial cylinders each representing the core and the skin. Themetabolic heat generatedfrom the core is transferred to the skin through conduction and blood flow. The boundary condition is set on thesurface of the skin surface and given as evaporation, convection, and radiation heat losses. The active systemhereismodeled using vasodilation, vasoconstriction, and sweating functions.

The Stolwijkmodel is the basis ofmanymulti-node thermoregulatorymodels [84]. The human bodygeometry consists of six segments (head, trunk, arms, hands, legs, and feet), eachwith four nodes (core,muscle,

Figure 7. (a) Schematic of twomajor categories for human thermoregulatorymodel: two- andmulti-nodemodel [78]. (b)Multi-nodethermoregulatorymodel [83]. (a)Reproduced from [78]. CCBY4.0.© 2016TheAuthors. Published byElsevier Ltd. (b)Reprinted bypermission fromSpringerNatureCustomer ServiceCentreGmbH:Nature, International Journal of Biometeorology, [83]©ISB 2006.

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fat, and skin), and one central blood pool. Each node exchanges heat with each other through conduction andwith the blood pool through convection. The active system in Stolwijk’smodel is divided into three parts. Infirstpart, the thermoreceptors sense the hot or cold state. Then the second part sends this information to the thirdpart which controls the action of the active system according to the information received to induce actions suchas vasodilation and constriction [84]. Thismodel was developed forNASA to simulate the thermoregulatorysystemof astronauts and is capable of predicting the skin temperature in low-activity conditions [85]. Anotherwell-knownmulti-node thermoregulatorymodel is the Fialamodel [79, 80, 86, 83]. The human body isconstructed as 15 cylindrical or spherical segments each containingmultiple layers of tissue accordingly(figure 7(b)). The skin layer in thismodel is divided into the inner and outer layer. The inner layer is responsiblefor blood perfusionwhile the outer layer is responsible for heat exchangewith the environment throughevaporation [86]. Penne’s so called bio-heat equation [87], is expressed in equation (1)

kT

x

T

y

T

zQ c m T T c

T

t, 1m b bl bl

2

2

2

2

2

2r

¶¶

+¶¶

+¶¶

+ + - =¶¶

⎛⎝⎜

⎞⎠⎟ ( ) ( )

where k, ρ and c are the thermal conductivity, density and specific heat of each layer respectively. Also,Qm is themetabolic heat generation andmbl is the volumetric bloodflow rate. Equation (1)was applied to each tissue layerwith appropriatematerial properties of an averageman.Heat is transferred between the tissue layers throughconduction and at the surface of the skin through convection, radiation, and evaporation to the environment.The Fialamodel also takes into account countercurrent heat exchange to simulate amore accurate arterial bloodtemperature [79, 86]. The active systemwasmodeled based on a regression analysis of physiological responsesfrommultiple subjects which resulted in a temperature-based systemdriven by the body core temperature and

Figure 8. (a)Analysis offinned heat sinkwith PCM [90]. (b) Schematic and performance of heat sink composed of coppermetal foamand paraffin composites [91]. (c)Heat sinkwith a double layermicrochannel using various fluids [92]. (a)Reprinted from [90],Copyright 2017, with permission fromElsevier. All rights reserved. (b)Reprinted from [91], Copyright 2012, with permission fromElsevier. All rights reserved. (c)Reprinted from [92], Copyright 2015, with permission fromElsevier. All rights reserved.

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themean skin temperature [80]. The Fialamodel was later adapted by theUTCI-Fialamodel which is the basis oftheUniversal Thermal Climate Index [86]. A simplified thermoregulatorymodel was proposed byWijethungeet al [88] that focuses on the forearm segment. The forearmwas themain focus of thismodel as the purposewasto provide a simplifiedmodel for designingwearable thermoelectric devices. The boundary conditions at theskin surface were given as convection, radiation, and evaporation heat fluxes. Assuming the body coretemperature as constant, shiveringwas neglected as it occurs when the body core temperature is considerablylow. In addition, thismodel used thermal resistance of the skin to express the temperature difference across thethermoelectric elements. This temperature difference was then used to calculate the voltage and in return thepower generated by a TEG.

3.3.Heat sink for TEGAswidely known, the temperature difference across the length of a thermoelectricmaterial is a dominant factorin determining the performance of a thermoelectric device. A larger temperature difference leads to a higherpower output and thus, an appropriate heat sink is necessary to achieve this large temperature difference. In thatpoint of view, integration of heat sinkswith a thermoelectric device is critical in improving its performance but isvery poorly investigated. In this section, some clever designs of heat sinks, not specifically designed for TEGs, butpossible to be integratedwith thermoelectric systems are demonstrated.

Among the various designs of heat sinks that can be integratedwith thermoelectric devices, ones with PCMshave shown great premise in reducing the temperature of a heat source. PCMs are known to possess high latentheat and thus, such property has been researchedwidely for its potential use in heat sinks. Themechanismbehind PCMs is utilizing its high latent heat when it changes phase from solid to liquid to absorb the heat fromits heat source. To enhance the performance of the heat sink based on PCMs, researches to increase thermalconductivity have beenwidely conducted.Wang et al [89] investigate the effect of using a porousmetalfibersintered felt (PMFSF) to increase the thermal conductivity of PCMs. They use a high-power LEDwith a powerconsumption ranging from1 to 5Was the heat source and used red copper as themetal foam to prepare theparaffin/PMFSF composite. The thermal conductivity of the composite was enhanced from0.2Wm−1 K−1

(pure paraffin) to 26.76Wm−1 K−1. Bayat et al [90] also attempt to increase the thermal conductivity of a PCMheat sink by adding a lowpercentage of nanoparticles. They only numerically simulate the effects ofnanoparticles due to complexities in nanoparticle fabrication andwere able to obtain enhanced thermalconductivities as shown infigure 8(a). Unlike their expectations, adding only 2%of nanoparticles shows the bestperformance and the performance gradually decreases with further addition of nanoparticles. Qu et al [91] alsodesign a passive thermalmanagement systemby utilizing ametal foam saturatedwith PCM in a heat sink toreduce the temperature of a heat source. Similar to thework done byWang et al [89], copper is used as themetalfoam and compared to a pure PCMand pure copper basement, the foam-PCMcomposite was themost efficientat preventing the increase in temperature of the heat source (figure 8(b)). Despite all these efforts, the biggestproblemof the PCMheat sink still stands evenwith an alteration- passive thermalmanagement.Without doubt,as it changes phase, it can absorbmore heat than in its solid formdue to its high latent heat; however, when thePCMreaches itsmaximumheat capacity after some time, the surface temperature of the heat source starts toincrease rapidly. Thus, thermallymanaging an electronic device with a PCMheat sink for a long period of time isnot pragmatic and is only appropriate for a short duration of time.

Another well-known type of heat sinks is a system composed ofmicro-channels with a circulating fluid. Firstproposed by Tuckerman and Pease [93], a liquid-cooled heat-exchanger design by using fluid channels inmicroscopic dimensions allows the operation of circuits with power densities higher than 1000W cm−2. Theidea behindmicro-channels is to use numerous separate channels, rather than a single channel toflowover thesurface of the heat source and to increase the surface area of the heat sink that the fluidmakes contact with.Rajabifar [92] adds an additional channel on top of the bottom channel, ultimately designing a double layeredcounter-flowmicro-channel with nanofluids and PCMslurries as the coolants as shown infigure 8(c).Withdifferent types of fluid employed in the upper and the lower channel, the heat flux absorbed by the heat sink isthe greatest when the nanofluids and the PCMslurries are deployed in the upper and lower channel, respectively.

Different fromheat sinks with PCMs ormicro-channelsmentioned above, notmuch research has been doneonflexible heat sinks as their demand has been low. There have been several works [26, 72, 94]which adopt aflexible heat sink on a thermoelectric generator for body heat harvesting. Although the performance of body heatharvesting has been enhancedwith the existence of aflexible heat sink, those research have aimedmore on theflexible thermoelectric system rather than flexible heat sink. The demand forflexible heat sinkswithsustainability and high performance is expected to be increased for broader applications.

3.4.DC–DCconverter for powermanagementTo operate an IoT system integratedwithWSNs,management of the harvested energy is as important as energyharvesting. Themanagement ismainly focused on the design of aDC–DCvoltage converter which boosts up

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harvested voltage, normally ranging from a fewmV in body heat harvesting to several hundredmV-level inindustry application, to a usable level for operatingwith high efficiency. Conventional DC–DCconverters have atwo-stage circuit [66], boost converter and a buck converter. Chen et al [95] demonstrate a one-stageDC–DCconverter inwhich the input voltage is 100 mV and the output voltage ranges from500 to 600 mV.Owing to thecapacitive bootstrapping technique, the proposedDC–DCconverter shows amaximum conversion efficiency of76.4%over various loads ranging from1 to 500 μW.Luo et al [96] demonstrate a power converter for athermoelectric generator with low input voltage integratedwith a self-start circuit. Once the chip self-starts at210 mV, only 7 mV input voltage is required to continuously operate themain converter. The proposed powerconverter shows amaximumoutput power of 229 μWwith 73.5% end-to-end efficiency. V et al [97] alsodemonstrate a voltage converter with a single-stage regulator. Since the proposed converter is aimed to be drivenby human body heat, it possesses low input voltage ranging from25 to 210 mV. The converting system showsmaximumefficiency of 65%with a peak delivering power of 1.03 mW.

4. Conclusion

With the rapid increase in demand for smart devices, themarket for IoT systems is also consequently growing.Concurrently, research on sustainable power supplies is beingwidely conducted. This paper explores the recentprogress in TEG as a power supply for IoT systems integratedwithWSNs. AlthoughTEG are able to harvestenough energy, the output voltage is not enough to operate commercial ormicro-fabricated sensors. In thispaper, not only the energy harvesting by thermoelectricity but energymanagement using aDC–DCconverter toboost the output voltage is also discussed. Considering the increase in application of TEGon a human body, anaccurate analysis of the human thermoregulatory system is required. For further enhancement of thermoelectricsystems, candidates for integrable heat sinks with TEGhave been presented aswell. Not forget tomention,thermoelectric systems forwearable applications also show the potential for commercializationwithwell-designedflexible TEG and powermanagement systems.

Acknowledgments

Thisworkwas supported by aNational Research Foundation of Korea (NRF) grant funded by theKoreanGovernment (MSIP) (NRF-2015R1A5A1036133&NRF-2018K1A3A1A20026439).

ORCID iDs

Woochul Kim https://orcid.org/0000-0003-3966-8414

References

[1] AshtonK 2009That ‘Internet of Things’ thingRFID J. 22 97–114[2] Atzori L, Iera A andMorabitoG 2010The Internet of Things: a surveyComput. Netw. 54 2787–805[3] Gubbi J, Buyya R,Marusic S and PalaniswamiM2013 Internet of Things (IoT): a vision, architectural elements, and future directions

FutureGener. Comput. Syst. 29 1645–60[4] Kamalinejad P,Mahapatra C, Sheng Z,Mirabbasi S, LeungVCMandGuanYL 2015Wireless energy harvesting for the Internet of

Things IEEECommun.Mag. (IEEE) 53 102–8[5] WanZG, TanYK andYuenC 2011Review on energy harvesting and energymanagement for sustainable wireless sensor networks

2011 IEEE 13th Int. Conf. onCommunication Technology (IEEE) pp 362–7[6] PereraC, Ch L, Jayawardena S andChenM2014A survey on Internet of Things from industrialmarket perspective IEEEAccess 2

1660–79[7] PrauzekM,Konecny J, BorovaM, JanosovaK,Hlavica J andMusilek P 2018 Energy harvesting sources, storage devices and system

topologies for environmental wireless sensor networks: a review Sensors 18 8[8] Sharma PK, Jeong Y-S and Park JH2018 EH-HL: effective communicationmodel by integrated EH-WSNand hybrid LiFi/WiFi for

IoT IEEE Internet Things J. 5 8[9] Gao S,Dai X,Hang Y, GuoY and Ji Q 2018Airbornewireless sensor networks for airplanemonitoring systemWirel. Commun.Mobile

Comput. 2018 1–18[10] Chalasani S andConrad JM2008A survey of energy harvesting sources for embedded systems IEEE Southeast Con 2008 (IEEE)

pp 442–7[11] Alippi C andGalperti C 2008An adaptive system for optimal solar energy harvesting inwireless sensor network nodes IEEETrans.

Circuits Syst. I 55 9[12] HandeA, PolkT,WalkerWandBhatiaD 2007 Indoor solar energy harvesting for sensor network router nodesMicroprocess.Microsyst.

31 420–32[13] GuilarN J, Kleeburg T J, ChenA, YankelevichDR andAmirtharajah R 2009 Integrated solar energy harvesting and storage IEEETrans.

Very Large Scale Integr. (VLSI) Syst. 17 11

12

J. Phys.: Energy 1 (2019) 042001 HPark et al

Page 14: Energy harvesting using thermoelectricity for IoT ...

[14] López-LapeñaO, PenellaMT andGasullaM2010AnewMPPTmethod for low-power solar energy harvesting IEEETrans. Ind.Electron. 57 10

[15] WuF, Rudiger C andYuceMR2017Real-time performance of a self-powered environmental IoT sensor network system Sensors 17 2[16] WuN,WangQ andXieX 2013Wind energy harvestingwith a piezoelectric harvester SmartMater. Struct. 22 095023[17] TanYK and Panda SK 2011 Self-autonomouswireless sensor nodes withwind energy harvesting for remote sensing of wind-driven

wildfire spread IEEETrans. Instrum.Meas. 60 11[18] TanYK and Panda SK 2011Optimizedwind energy harvesting systemusing resistance emulator and active rectifier forwireless sensor

nodes IEEETrans. Power Electron. 26 1[19] Sirohi J andMahadik R 2012Harvestingwind energy using a galloping piezoelectric beam J. Vib. Acoust. 134 011009[20] Orrego S, Shoele K, Ruas A,DoranK, Caggiano B,Mittal R andKang SH2017Harvesting ambientwind energy with an inverted

piezoelectric flagAppl. Energy 194 212–22[21] Prijic A, Vračar L, VučkovićD,MilicD and Prijic Z 2015Thermal energy harvestingwireless sensor node in aluminumcore PCB

technology IEEE Sensors J. 15 9[22] UjiharaM,CarmanGP and LeeDG2007Thermal energy harvesting device using ferromagneticmaterialsAppl. Phys. Lett. 91 093508[23] Lee FY,NavidA and Pilon L 2012 Pyroelectric waste heat energy harvesting using heat conductionAppl. Therm. Eng. 37 30–7[24] RoweDM2006Thermoelectrics Handbook:Macro toNano (Boca Raton, FL / London: CRCPress/Taylor and Francis)[25] KimCS, LeeG S, ChoiH, KimY J, YangHM, Lim SH, Lee S-G andChoB J 2018 Structural design of a flexible thermoelectric power

generator for wearable applicationsAppl. Energy 214 131–8[26] ParkH, LeeD, KimD,ChoH, EomY,Hwang J, KimH,Kim J,Han S andKimW2018High power output frombody heat harvesting

based onflexible thermoelectric systemwith low thermal contact resistance J. Phys. D: Appl. Phys. 51 365501[27] Kwon S-D2010AT-shaped piezoelectric cantilever forfluid energy harvestingAppl. Phys. Lett. 97 3[28] TaylorGW, Burns J R, Kammann SM, PowersWBandWelsh TR 2001The energy harvesting eel: a small subsurface ocean/river

power generator IEEE J. Ocean. Eng. 26 539–47[29] Paradiso J A and ShenckN S 2001 Energy scavengingwith shoe-mounted piezoelectrics IEEEMicro 21 30–42[30] Mitcheson PD, Yeatman EM,RaoGK,HolmesA S andGreenTC 2008 Energy harvesting fromhuman andmachinemotion for

wireless electronic devices Proc. IEEE 96 1457–86[31] LeeM,ChenCY,Wang S, Cha SN, Park Y J, Kim JM,Chou L J andWangZ L 2012Ahybrid piezoelectric structure for wearable

nanogeneratorsAdv.Mater. 24 1759–64[32] RenaudM, Fiorini P, van Schaijk R and vanHoof C 2012Corrigendum: harvesting energy from themotion of human limbs: the design

and analysis of an impact-based piezoelectric generator SmartMater. Struct. 21 049501[33] Wei S,HuH andHe S 2013Modeling and experimental investigation of an impact-driven piezoelectric energy harvester fromhuman

motion SmartMater. Struct. 22 105020[34] Pillatsch P, Yeatman EMandHolmesA S 2014Apiezoelectric frequency up-converting energy harvester with rotating proofmass for

humanbody applications Sensors ActuatorsA 206 178–85[35] HouT-C, Yang Y, ZhangH,Chen J, Chen L-J and LinWang Z 2013Triboelectric nanogenerator built inside shoe insole for harvesting

walking energyNano Energy 2 856–62[36] YangY, ZhuG, ZhangH,Chen J, ZhongX, Lin Z-H, Su Y, Bai P,WenX andWang Z L 2013Triboelectric nanogenerator for harvesting

wind energy and as selfpoweredwind vector sensor systemACSNano 10 9461–8[37] YangY, ZhangH, Lin Z-H, ZhouY S, JingQ, SuY, Yang J, Chen J, HuC andWang Z L 2013Human skin based triboelectric

nanogenerators for harvesting biomechanical energy and as self-powered active tactile sensor systemACSNano 7 10[38] ZhuG, Lin ZH, JingQ, Bai P, PanC, Yang Y, ZhouY andWangZ L 2013Toward large-scale energy harvesting by a nanoparticle-

enhanced triboelectric nanogeneratorNano Lett. 13 847–53[39] Gupta RK, ShiQ,Dhakar L,WangT,HengCHand LeeC 2017 Broadband energy harvester using non-linear polymer spring and

electromagnetic/triboelectric hybridmechanism Sci. Rep. 7 41396[40] PuX, LiuM,ChenX, Sun J, DuC, Zhang Y, Zhai J, HuWandWang Z L 2017Ultrastretchable, transparent triboelectric nanogenerator

as electronic skin for biomechanical energy harvesting and tactile sensing Sci. Adv. 3 e1700015[41] WangZL 2014Triboelectric nanogenerators as new energy technology and self-powered sensors—principles, problems and

perspectives FaradayDiscuss. 176 447–58[42] LinZH,ChengG, Lee S, Pradel KC andWang Z L 2014Harvesting water drop energy by a sequential contact-electrification and

electrostatic-induction processAdv.Mater. 26 4690–6[43] GuigonR,Chaillout J-J, Jager T andDespesse G 2008Harvesting raindrop energy: experimental study SmartMater. Struct. 17 015039[44] WenX, YangW, JingQ andWangZ L 2014Harvesting broadband kinetic impact energy frommechanical triggering/vibration and

water wavesACSNano 8 7405–12[45] ZhuG, SuY, Bai P, Chen J, JingQ, YangWandWangZ L 2014Harvestingwater wave energy by asymmetric screening of electrostatic

charges on a nanostructured hydrophobic thin-film surfaceACSNano 8 6031–7[46] Brueckner S,Miró L, Cabeza L F, PehntMand Laevemann E 2014Methods to estimate the industrial waste heat potential of regions—a

categorization and literature reviewRenew. Sustain. Energy Rev. 38 164–71[47] DaiD, ZhouY and Liu J 2011 Liquidmetal based thermoelectric generation system forwaste heat recoveryRenew. Energy 36 3530–6[48] HsuC-T,HuangG-Y, ChuH-S, YuB andYaoD-J 2011 Experiments and simulations on low-temperaturewaste heat harvesting

systemby thermoelectric power generatorsAppl. Energy 88 1291–7[49] Orr B, Singh B, Tan L andAkbarzadehA 2014 Electricity generation from an exhaust heat recovery systemutilising thermoelectric cells

and heat pipesAppl. Therm. Eng. 73 588–97[50] Jang J-C, Chi R-G, Rhi S-H, Lee K-B,HwangH-C, Lee J-S and LeeW-H2015Heat pipe-assisted thermoelectric power generation

technology forwaste heat recovery J. Electron.Mater. 44 2039–47[51] RemeliMF, Tan L,Date A, Singh B andAkbarzadeh A 2015 Simultaneous power generation and heat recovery using a heat pipe

assisted thermoelectric generator systemEnergy Convers.Manage. 91 110–9[52] Anastasovski A, RaškovićP andGuzovićZ 2015Design and analysis of heat recovery system in bioprocess plantEnergy Convers.

Manage. 104 32–43[53] NakagawaK and Suzuki T 2018Ahighly efficient thermoelectricmodulewith heat storage utilizing sensible heat for IoT power supply

J. Electron.Mater. 48 1939–50[54] SamsonD,KlugeM, Becker T and SchmidU 2011Wireless sensor node powered by aircraft specific thermoelectric energy harvesting

Sensors ActuatorsA 172 240–4

13

J. Phys.: Energy 1 (2019) 042001 HPark et al

Page 15: Energy harvesting using thermoelectricity for IoT ...

[55] ZhuW,DengY andCao L 2017 Light-concentrated solar generator and sensor based on flexible thin-film thermoelectric deviceNanoEnergy 34 463–71

[56] CaoZ, Koukharenko E, TorahRN, Tudor J and Beeby S P 2014 Flexible screen printed thick film thermoelectric generatorwithreducedmaterial resistivity J. Phys.: Conf. Ser. 557 012016

[57] CaoZ, Koukharenko E, TudorM J, TorahRNandBeeby S P 2013 Screen printed flexible Bi2Te3-Sb2Te3 based thermoelectricgenerator J. Phys.: Conf. Ser. 476 012031

[58] JungKK, JungY, Choi C J, Lee JM andKo J S 2016 Flexible thermoelectric generator with polydimethyl siloxane in thermoelectricmaterial and substrateCurr. Appl Phys. 16 1442–8

[59] KimS J,We JH andChoB J 2014Awearable thermoelectric generator fabricated on a glass fabricEnergy Environ. Sci. 7 1959[60] NavoneC, SoulierM, PlissonnierM and Seiler A L 2010Development of (Bi, Sb)2(Te, Se)3-based thermoelectricmodules by a screen-

printing process J. Electron.Mater. 39 1755–9[61] Varghese T,Hollar C, Richardson J, KempfN,HanC,Gamarachchi P, EstradaD,Mehta R J andZhang Y 2016High-performance and

flexible thermoelectric films by screen printing solution-processed nanoplate crystals Sci. Rep. 6 33135[62] We JH,KimS J andChoB J 2014Hybrid composite of screen-printed inorganic thermoelectric film and organic conducting polymer

forflexible thermoelectric power generatorEnergy 73 506–12[63] EomY,WijethungeD, ParkH, Park SH andKimW2017 Flexible thermoelectric power generation systembased on rigid inorganic

bulkmaterialsAppl. Energy 206 649–56[64] KimS I et al 2015Dense dislocation arrays embedded in grain boundaries for high-performance bulk thermoelectrics Science 348

109–14[65] HuL, ZhuT, LiuX andZhaoX 2014 Point defect engineering of high-performance bismuth-telluride-based thermoelectricmaterials

Adv. Funct.Mater. 24 5211–8[66] KimY J,GuHM,KimCS, ChoiH, LeeG, KimS, Yi KK, Lee SG andChoB J 2018High-performance self-poweredwireless sensor

node driven by aflexible thermoelectric generator Energy 162 526–33[67] Iezzi B, AnkireddyK, Twiddy J, LosegoMDand Jur J S 2017 Printed,metallic thermoelectric generators integratedwith pipe insulation

for poweringwireless sensorsAppl. Energy 208 758–65[68] TianR, Liu Y, KoumotoK andChen J 2019 Body heat powers future electronic skins Joule 3 1399–403[69] Suarez F, ParekhDP, LaddC,VashaeeD,DickeyMDandÖztürkMC2017 Flexible thermoelectric generator using bulk legs and

liquidmetal interconnects for wearable electronicsAppl. Energy 202 736–45[70] HylandM,HunterH, Liu J, Veety E andVashaeeD 2016Wearable thermoelectric generators for human body heat harvestingAppl.

Energy 182 518–24[71] WangY, Shi Y,MeiD andChenZ 2018Wearable thermoelectric generator to harvest body heat for powering aminiaturized

accelerometerAppl. Energy 215 690–8[72] KimCS, YangHM, Lee J, LeeG S, ChoiH, KimY J, Lim SH,Cho SH andChoB J 2018 Self-poweredwearable electrocardiography

using awearable thermoelectric power generatorACSEnergy Lett. 3 501–7[73] ThielenM, Sigrist L,MagnoM,HieroldC andBenini L 2017Human body heat for poweringwearable devices: from thermal energy to

applicationEnergy Convers.Manage. 131 44–54[74] MagnoM,Brunelli D, Sigrist L, Andri R, Cavigelli L, GomezA andBenini L 2016 InfiniTime:multi-sensor wearable bracelet with

humanbody harvesting Sustain. Comput.: Inform. Syst. 11 38–49[75] Myers A,Hodges R and Jur J S 2017Human and environmental analysis of wearable thermal energy harvesting Energy Convers.

Manage. 143 218–26[76] 2015Texas Instruments; bq25504Ultra low-power boost converter with batterymanagement for energy harvester applications[77] 2013 Linear technology; LTC3108Ultralow voltage step-up converter and powermanager[78] KatićK, Li R andZeilerW2016Thermophysiologicalmodels and their applications: a reviewBuild. Environ. 106 286–300[79] FialaD, LomasK J and StohrerM1999A computermodel of human thermoregulation for awide range of environmental conditions

the passive system J. Appl. Physiol. 87 1957–72[80] FialaD, LomasK J and StohrerM2001Computer prediction of human thermoregulatory and temperatre responses to awide range of

environmental conditions Int. J. Biometeorol. 45 143–59[81] SmithCE 1991A transient, three-dimensionalmodel of the human thermal system PhDKansas StateUniversity[82] Gagge AP, Stolwijk J A J andNishi Y 1971An effective temperature scale based on a simplemodel of human physiological regulatory

responseAshrae Trans. 77 247–62[83] vanMarken LichtenbeltWD, Frijns A J, vanOoijenM J, FialaD, Kester AMand van SteenhovenAA2007Validation of an

individualisedmodel of human thermoregulation for predicting responses to cold air Int. J. Biometeorol. 51 169–79[84] Stolwijk J A J 1971Amathematicalmodel of physiological temperature regualtion inmanNASAContractor ReportNASACR-1855 Yale

University School ofMedicine[85] Munir A, Takada S andMatsushita T 2009Re-evaluation of Stolwijk’s 25-node human thermalmodel under thermal-transient

conditions: prediction of skin temperature in low-activity conditionsBuild. Environ. 44 1777–87[86] FialaD,HavenithG, Brode P, KampmannB and JendritzkyG 2012UTCI-Fialamulti-nodemodel of human heat transfer and

temperature regulation Int. J. Biometeorol. 56 429–41[87] PennesHH1948Analysis of tissue and arterial blood temperatures in the rising human forearm J. Appl. Physiol. 1 93–122[88] WijethungeD,KimD andKimW2018 Simplified human thermoregulatorymodel for designingwearable thermoelectric devices

J. Phys. D: Appl. Phys. 51 055401[89] WangH,Wang F, Li Z, TangY, YuB andYuanW2016 Experimental investigation on the thermal performance of a heat sink filledwith

porousmetalfiber sintered felt/paraffin composite phase changematerialAppl. Energy 176 221–32[90] BayatM, FaridzadehMRandToghraieD 2018 Investigation of finned heat sink performancewith nano enhanced phase change

material (NePCM)Therm. Sci. Eng. Prog. 5 50–9[91] QuZG, LiWQ,Wang J L andTaoWQ2012 Passive thermalmanagement usingmetal foam saturatedwith phase changematerial in a

heat sink Int. Commun.HeatMass Transfer 39 1546–9[92] Rajabifar B 2015 Enhancement of the performance of a double layeredmicrochannel heatsink using PCMslurry and nanofluid

coolants Int. J. HeatMass Transfer 88 627–35[93] TuckermanDB and Pease R FW1981High-performance heat sinking for VLSI IEEE ElectronDevice Lett. 2 126–9[94] Shi Y,Wang Y,MeiD andChenZ 2018Wearable thermoelectric generator with copper foam as the heat sink for body heat harvesting

IEEEAccess 6 10

14

J. Phys.: Energy 1 (2019) 042001 HPark et al

Page 16: Energy harvesting using thermoelectricity for IoT ...

[95] ChenP-H, SuT-Y and FanPM-Y 2018Thermoelectric energy harvesting interface circuit with capacitive bootstrapping technique forenergy-efficient IoT devices IEEE Internet Things J. 5 8

[96] LuoZ, Zeng L, LauB, Lian Y andHengC-H2018A sub-10mVpower converter with fully integrated self-start,MPPT, andZCS controlfor thermoelectric energy harvesting IEEE Trans. Circuits Syst. I 65 14

[97] VP, RajendranMK,Kansal S, ChowdaryG andDutta A 2018Ahuman body heat driven high throughput thermal energy harvestingsingle stage regulator for wearable biomedical IoT nodes IEEE Internet Things J. 5 13

15

J. Phys.: Energy 1 (2019) 042001 HPark et al