Advances in Thermoelectric Generators Modules (TEGs): Applications, Performance, and Global Trends in Renewable Energy Systems

Abstract

The integration of thermoelectric modules (TEMs) into renewable energy systems represents a critical technological frontier for global energy efficiency. This review systematically analyzes the scientific output in the field, which has experienced accelerated growth over the last decade, reaching a historical peak in publications between 2023 and 2024. Geographically, research is led by China, Iran, Turkey, and India. Regarding sectoral distribution, the analysis reveals that solar energy dominates applications, divided into solar thermal (25.53%) and photovoltaics (23.40%), followed by biomass (21.28%) and geothermal energy (17.02%), while ocean energy (12.77%) remains the least developed area. Despite the surge in scientific interest, the results confirm a significant methodological gap: 72.34% of the literature relies exclusively on pure simulations and numerical modeling, whereas only 27.66% incorporates experimental validation. This theoretical dependence translates into a lack of data regarding long-term operational reliability; consequently, mechanical analysis indicates that performance degradation becomes critical after the first 4000 cycles of operation, resulting in an 18% power loss. It is concluded that closing the gap toward commercial scale requires a transition from idealized modeling toward polygeneration schemes and thermal coupling designs that mitigate cyclic mechanical stress. This work provides a synthesis that serves as a roadmap for future engineering implementations at the energy-thermal management nexus.

1. Introduction

The global energy paradigm is characterized by growing demand and the imperative need for a transition toward sustainable generation systems, driven by international commitments such as the Paris Agreement to limit global warming to 1.5 °C [1]. This transition depends not only on the scaling of renewable sources but also on the radical optimization of supporting technologies, including proton exchange membrane fuel cells (PEMFCs), high-density battery storage systems, and advanced thermal management strategies [2]. In this scenario, waste heat recovery and efficient thermal management persist as critical challenges for consolidating a low-carbon energy matrix [3].

In this context, thermoelectric modules (TEMs) emerge as a fundamental solid-state energy conversion technology. Based on the Seebeck and Peltier effects [4,5], these devices can be implemented for energy recovery from waste heat in industrial processes and, crucially, in renewable energy (RE) systems. TEMs enhance overall efficiency through cogeneration from low and medium enthalpy heat (100–500 °C), being vital in geothermal plants, biomass engines, and the thermal management of cylindrical battery modules [6], using microchannels to prevent thermal runaway [7,8]. Furthermore, their lack of moving parts makes them ideal for distributed generation in remote areas [9].

The commercial viability of TEMs is linked to their figure of merit (ZT), a parameter that governs energy conversion efficiency. Although commercial materials such as bismuth telluride ($B{i}_{2}T{e}_3$) have maintained values of $ZT\approx 1$, recent advances in nanostructure engineering and doping in silicon–germanium (SiGe) alloys have pushed this value up to 2.5 at the laboratory level [10,11]. These developments have enabled the creation of prototypes with electrical conversion efficiencies of 10–15% in hybrid systems [12].

2. Fundamentals of Thermoelectricity

Thermoelectric modules (TEMs) are solid-state devices based on semiconductor materials designed to perform the direct conversion between thermal and electrical energy through two primary phenomena: the Seebeck effect and the Peltier effect. Structurally, a TEM consists of multiple thermocouples composed of p-type and n-type elements, which are electrically interconnected in series and thermally in parallel (Figure 1) [7]. The elements are bonded to ceramic plates that ensure efficient heat transfer and the mechanical integrity of the module [11].

2.1. Seebeck Effect

Discovered in 1821, this phenomenon serves as the operational principle for thermoelectric generators (TEGs). It manifests when a temperature difference ($∆T=T_H-T_C$) between the junctions of dissimilar materials induces an electromotive force (EMF) (Figure 2) [11]. The generated voltage ($V$) is directly proportional to the thermal gradient:

$$V=\alpha ·∆T$$

where $\alpha$ is the Seebeck coefficient. For the analytical purposes of this review, this parameter is critical, as it determines the capacity of the material to convert low-enthalpy waste heat into useful electrical energy. Therefore, the selection of the appropriate thermoelectric material is crucial for optimizing device performance and maximizing energy conversion efficiency [13].

Table 1. Seebeck coefficients of different semiconductor materials [13].

Material	Seebeck Coefficient (µV/K)
Se	900
Te	500
Si	440
Ge	300
n-type Bi2Te3	−230
p-type Bi2−xSbxTe3	300
p-type Sb2Te3	185
PbTe	−180
Pb03Ge39Se58	1670
Pb06Ge0.36Se58	1410
Pb09Ge33Se58	−1360
Pb13Ge29Se58	−1710
Pb15Ge37Se58	−1990
SnSb4Te7	25
SnBi4Te7	120
SnBi3Sb1Te7	151
SnBi2.5Sb1.5Te7	110
SnBi2Sb2Te7	90
PbBi4Te7	−53

presents a consolidation of the most commonly used semiconductor materials in commercial TEMs, along with their respective typical Seebeck coefficient values.

2.2. Peltier Effect

The Peltier effect is the inverse phenomenon of the Seebeck effect and constitutes the basis for thermoelectric coolers (TECs). When an electric current ($I$) is applied, a temperature differential is generated between the faces of the modules, enabling heat transport ($Q$) (Figure 3):

$$Q_P=\pi I$$

$$Q_P=\left(\alpha T\right)I$$

where $\pi$ is the Peltier coefficient. In various hybrid system integrations, such as PV-TEG, this effect is fundamental for the active thermal management of solar cells, enabling the stabilization of their operating temperature and preventing a decrease in their efficiency [14,15,16].

2.3. Mathematical Modeling of Performance

To conduct a quantitative synthesis of the applications discussed in this work, it is necessary to define the performance metrics that link material properties to energy conversion.

2.3.1. Output Power and Conversion Efficiency

The electrical power generated ($P$) by a thermoelectric module depends on the thermal gradient between the hot side ($T_H$) and the cold side ($T_C$), as well as the internal resistance of the device ($R_{in}$) and the external load resistance ($R_L$). It is expressed as:

$$P=I^2{R}_L$$

$$P={\left({\displaystyle \frac{\alpha ·∆T}{R_{in}+R_L}}\right)}^2{R}_L$$

where $\alpha$ is the Seebeck coefficient of the module, and $∆T=T_H-T_L$. The maximum power is achieved under the impedance matching condition ($R_L=R_{in}$).

2.3.2. Maximum Thermal Efficiency

The efficiency ($\eta$) relates the generated electrical power to the heat absorbed at the hot side ($Q_H$). It is limited by the Carnot efficiency and the figure of merit ($ZT$) of the material:

$$\eta =\left({\displaystyle \frac{{T_H-T}_c}{T_H}}\right){\displaystyle \frac{\sqrt{1+Z{T}_{avg}}-1}{\sqrt{1+Z{T}_{avg}}+\frac{T_c}{T_H}}}$$

where $T_{avg}$ is the average temperature of the system, $T_{avg}=(T_H+T_C)/2$. This equation is fundamental for determining whether the values reported in the literature approach theoretical limits, or if significant thermal losses exist due to contact resistance.

2.4. Heat Flow Model

The net heat flow at the hot side ($Q_H$) and the cold side ($Q_C$) accounts for thermal conduction ($K$), charge carrier transport, and the heat dissipated by the Joule effect ($R_{in}{I}^2$):

$$Q_H=\alpha I{T}_H+K\left(T_H-T_C\right)-{\displaystyle \frac{1}{2}}{I}^2{R}_{in}$$

$$Q_C=\alpha I{T}_H+K\left(T_H-T_C\right)+{\displaystyle \frac{1}{2}}{I}^2{R}_{in}$$

where $K(T_H-T_C$) represents the heat from thermal conduction and where $K$ is the total thermal conductance of the module ($W/K$). This term follows the law of Fourier and represents the energy loss that passes through the material without being converted into electricity.

The term ${\displaystyle \frac{1}{2}}{I}^2{R}_{in}$ represents the dissipation due to Joule heating. It is a critical point in the analysis since it is based on the assumption that the heat generated by the internal electrical resistance ($R_{in}$) is distributed equally (50%) toward both faces of the module.

3. Applications of Thermoelectric Modules (TEMs)

Thermoelectric modules (TEMs) play an essential role in various applications through their two configurations: thermoelectric generators (TEGs) and thermoelectric coolers (TECs) [17,18]. These technologies adapt to multiple scenarios, ranging from waste heat recovery in industries to critical cooling in electronics and medicine and even space applications, as shown in Figure 4.

TEGs enable the valorization of waste heat through its direct conversion into electrical energy, optimizing the efficiency of both conventional and renewable thermal systems. Meanwhile, TECs provide high-precision temperature control, which is critical for the stability of electronic and electrochemical components under variable load conditions [19]. The following section details the technical contribution of TEGs to operational sustainability in industrial and experimental configurations.

3.1. Thermoelectric Generators (TEGs or Seebeck)

Thermoelectric generators (TEGs) operate as solid-state thermal machines that convert a heat flow directly into electrical power through the Seebeck effect, eliminating the intermediate stages of mechanical energy and the use of working fluids typical of Rankine cycles or combustion engines. Unlike rotating machinery, TEGs harness the flow of charge carriers (electrons and holes) through semiconductor materials to transport thermal energy and transform it into an electrical potential (Figure 5). These devices are thermodynamically conceptualized as engines operating between two reservoirs, which facilitates their integration into heat exchange surfaces for waste energy recovery. This capability positions them as a strategic complementary technology in industrial applications where the scale or mechanical complexity of conventional turbines is unfeasible, allowing for an incremental improvement in the overall efficiency of thermal systems.

In the aerospace sector, TEGs are employed in radioisotope thermoelectric generators (RTGs), where the absence of moving parts and high operational reliability are critical for missions in vacuum environments and low solar radiation [20]. In the industrial field, these devices facilitate distributed electrical generation through waste heat recovery in internal combustion engines and thermal processes, allowing the powering of auxiliary systems and reducing fuel consumption by optimizing the energy balance [21,22]. Likewise, in sustainable architecture, TEGs are integrated into building thermal management systems to capture residual heat flows, contributing to nearly zero-energy building (nZEB) standards. These applications demonstrate the capability of TEGs to improve systemic efficiency by converting thermal gradients into useful electrical energy under diverse operating conditions [23].

3.2. Thermoelectric Coolers (TECs or Peltier)

Thermoelectric coolers (TECs) are solid-state devices that operate under the Peltier effect for active heat transfer. By applying an electric current, charge carriers transport thermal energy from one side of the module to the other, enabling the cooling of specific surfaces or volumes without the use of chemical refrigerants or moving parts [24,25].

From a thermodynamic perspective, TECs behave as heat pumps (Figure 6). Their performance is quantified by the coefficient of performance ($COP$), which relates the heat extracted from the cold side ($Q_C$) to the supplied electrical power ($W$):

$$COP={\displaystyle \frac{Q_C}{W}}$$

The maximum $COP$ is limited by the operating temperatures ($T_H$ and $T_C$) and the figure of merit ($ZT$) of the material [26]. The dependence on $ZT$ is critical, because a high value not only reduces losses from reverse thermal conduction ($\kappa$) but also minimizes Joule heating, allowing for increased temperature differentials ($∆T$). Therefore, the optimization of materials with high $ZT$ is the central axis for improving the competitiveness of TECs against conventional vapor compression cycles in precision thermal management applications [27].

4. Global Analysis and Trends of TEMs in Renewable Energy

The decarbonization of the global energy matrix has driven the integration of thermoelectric generators (TEGs) as a solid-state solution for energy conversion. Due to the Seebeck effect, these devices are technically ideal for waste heat recovery (WHR) and integration into low-to-medium enthalpy systems (<500 °C) [28]. In these ranges, conventional thermodynamic cycle technologies, such as the organic Rankine cycle (ORC), lose economic and operational viability due to mechanical complexity and maintenance costs.

The implementation of TEGs has shown a growing trend in two critical areas: solar thermoelectric generators (STEGs) and low-enthalpy geothermal exploitation. Unlike turbines, the modular nature of TEGs allows for linear scalability and passive operation—factors that compensate for their lower conversion efficiency (typically <10%) compared to rotating systems in small-scale or distributed generation applications.

However, global trend analysis reveals that although the literature highlights their “maintenance-free” nature, the durability of thermoelectric materials under extreme thermal cycling and the degradation of metallic contacts remain critical barriers to mass industrial adoption. This study evaluates these trends through a comparison of performance metrics ($\alpha$, $P_{max}$) and the technology readiness level of each integration.

The literature identification was based on a structured systematic review, primarily focused on publications from the last 10 years to ensure technological currency. However, foundational literature was selectively included due to its critical theoretical relevance. The search strategy was conducted across MDPI, Springer, Elsevier, and IEEE databases, utilizing Boolean operators and specific keywords: ‘TEG’, ‘experimental’, ‘renewable energy’, and ‘application’. This methodology ensured the inclusion of studies with practical validation and quantitative data, enabling a precise synthesis between classical foundations and the contemporary state of the art.

4.1. Ocean Thermal Energy Conversion (OTEC)

One of the most promising applications for thermoelectric generators (TEGs) in marine environments is ocean thermal energy conversion (OTEC). The OTEC principle is based on harnessing the natural thermal gradient that exists between the warm surface layer and the cold deep waters of the ocean. Given the low temperature differential (typically $∆T\approx$ 20–25 °C), thermoelectric generation (TEG) systems emerge as an attractive technological solution.

This section presents a chronological and detailed review of the current state of TEG–OTEC technology, its global research trends, and the evolution of its implementation.

The exploration of thermoelectricity in ocean environments dates back to 1979, when Jayadev et al. (USA) proposed a preliminary design for a power module based on a plate-and-fin heat exchanger using $B{i}_{2}T{e}_3$[29]. This pioneering design operated in the low-temperature range typical of OTEC (278 to 298 K, equivalent to $\approx$5 a 25 °C), marking the first integration of TEMs into an ocean energy system.

Subsequently, in 1997, Dubourdieu et al. (France) conducted crucial tests for the selection and assembly of underwater modules (Figure 7a). Their prototype, a MELCOR generator, demonstrated a capacity of 100 W with a 70 V output using a 12 × 20 module array operating at higher temperatures (50 to 120 °C). This work represented a significant advancement toward the design of higher-power subsea systems [30].

In 2002, Von Der Weid et al. (Brazil) contributed with laboratory tests focused on the scalability and performance of Peltier cells (used as generators) connected in parallel. Their results showed the generation of 1 W with eight cells and 10 W with 100 cells under a $∆T$ of 50 °C. This information was key to validating the efficiency of arrays with a larger number of thermocouples [34].

A decade later, research diversified toward the analysis of high-enthalpy sources; in 2016, Y. Xie et al. (China) designed a thermoelectric converter activated by hydrothermal vents to power underwater lamps (Figure 7b). This system, based on $B{i}_{2}T{e}_3$ generated between 2.6 and 3.9 W, operating in the range of 95 to 222 °C [31].

During that same year, hybridization and scaling activities were observed, consolidating with the conceptual proposal by Ekber Özdemir et al. (Turkey), who combined solar and marine energy. Their predictive design, which employed seawater cooling, estimated a generation capacity of up to 500 kW [35], exploring the synergy between oceanic and solar thermal sources.

In the same line of operational challenges, in 2016, Gongyue Tang et al. (Singapore) investigated the impact of biofouling on TEG performance. Using ${\left(B{i}_{0.5}{Sb}_{0.5}\right)}_{2}T{e}_3$ modules in the 5 to 25 °C range, their study was crucial for understanding durability and maintenance requirements in oceanic environments [36]. Advancing in robustness, Keren Xie et al. (China) built a prototype in 2018 to test performance under variable environmental conditions (Figure 7c), generating 0.92 W with $B{i}_{2}T{e}_3$ modules and operating across a wide range of 5 to 200 °C [32]. The effort to achieve stable, higher-power systems continued in 2020, where Xie et al. (China) developed a hydrothermal device with waterproof $B{i}_{2}T{e}_3$ EG HZ-2 modules that stably generated 5.5 W in harsh environments (Figure 7d) [33].

Complementing the hybridization trend, in 2020, Khanmohammadi et al. (Vietnam) proposed an OTEC system combined with solar collectors, achieving a 6.27% improvement in exergetic efficiency and generating an additional 12.64 kW [37]. Finally, recent optimization (Chung and Wu, 2024) has focused on the design of optimized heat exchangers and $B{i}_{2}T{e}_3$ modules. Their system, operating at low $∆T$ (4 to 25 °C), demonstrated a 22.92% increase in output power and an overall efficiency improvement of 38.2% [38].

These recent results are compiled in

Table 2. Performance of TEMs in oceanic applications (OTEC).

Author, Year	Country	Material or TEM	ΔT (°C)	Efficiency (η)	Power (W)	Type de Study
Özdemir, 2015 [35]	Turkey	TEG1-12611-6.0	270 Max	-	500 KW (Estimated)	Simulation
Xie et al., 2016 [31]	China	$B{i}_{2}T{e}_3$	127 Approx	1.96–2.94%	4.8–7.2 W (4 mod.)	Simulation and experimental
Tang et al., 2016 [36]	Singapore	${\left(B{i}_{0.5}S{b}_{0.5}\right)}_{2}T{e}_3$	25	-	-	simulation
Xie et al., 2018 [32]	China	SP1848-27145 $\left(B{i}_{2}T{e}_3\right)$ TG12-4 $(B{i}_{2}T{e}_3$)	25	-	0.92 W (5 mod.)	Simulation and experimental
Xie et al., 2020 [33]	China	Hi-Z-2	110 Approx	-	5.6 W	Simulation and experimental
Khanmohammadi, 2020 [37]	Iran	HZ-20	20–26	2.90%	12.64 kW (system)	Simulation

, which shows the evolution of system designs to exploit the potential of TEG–OTEC. Table 2 synthesizes and quantitatively compares the reported performance of thermoelectric modules (TEG) proposed for OTEC-type applications, including module material/technology, thermal differential (ΔT), efficiency (η), power, and the study focus (simulation/experimental).

4.2. Biomass and Waste Heat Recovery

Waste heat recovery (WHR) and energy conversion from biomass represent cutting-edge strategies for driving efficiency and energy sustainability. Unlike the small thermal gradient’s characteristic of OTEC, biomass conversion processes (combustion and gasification) and associated industrial effluents typically generate a high temperature differential, which can exceed 600 °C. This allows TEGs to generate significantly higher power (x–y W).

Biofuels, derived from crops such as soybean, corn, sugarcane, or organic waste, represent a key sustainable alternative. According to the International Renewable Energy Agency (IRENA), biomass contributes approximately 8% of the global primary energy supply, with the potential to reduce GHG emissions by up to 60% compared to coal [39]. The United Nations Environment Program (UNEP) highlights that biogas can mitigate methane emissions by up to 70% when captured and utilized. For instance, biodiesel can decrease carbon dioxide emissions by 78% compared to conventional diesel [40].

To capitalize on the high-enthalpy waste heat generated during the combustion or gasification of these biofuels, thermoelectric generators (TEGs) have been successfully integrated to improve overall cogeneration efficiency. For example, Li et al. [41] demonstrated that a portable biomass-based system (BCP-TEG) reached a maximum electrical power of 23.4 W with a load resistance of 14 Ω, significantly surpassing the performance of other similar devices (5.0–2.9 W), which underscores the potential of this technology in distributed generation (Figure 8d).

The integration of TEGs into biomass systems is an evolving technology that has demonstrated growing potential for electricity generation from waste heat. Experimental studies have focused on optimizing the thermal interface and materials for high-temperature environments, as detailed below.

In 2007, Lertsatitthanakorn (Thailand) conducted one of the pioneering studies, implementing $B{i}_{2}T{e}_3$ modules on the side wall of a biomass stove. Operating in the range of 150 to 240 °C, the system achieved a power output of 2.4 W and a conversion efficiency of 3.2% [47]. Later, in 2010, Champier et al. (France) developed a TEG system focused on distributed generation (DG) for rural areas. The system operated between 22 and 200 °C, reaching 6 W with an efficiency of 2% under controlled conditions [48]. With this background, in 2015, Barma et al. (Bangladesh) investigated energy recovery in a medium-enthalpy biomass system (250 to 300 °C) using HZ-2 modules [28]. In parallel, Ma et al. (China) advanced process optimization by adding a catalytic reactor to a biomass gasifier (Figure 8a). This high-temperature design (350 to 500 °C) achieved 6.1 W with a remarkable power density of 193.1 $\mathrm{W}/{\mathrm{m}}^2$ [42].

During 2017, Angeline et al. (India) demonstrated modular scalability by implementing hybrid TEGs ($B{i}_{2}T{e}_3$–$PbTe$) in remote gas pipelines. Operating between 250 and 350 °C, the system achieved an efficiency of 2.5%, generating 8.94 W per module and 27.38 W with a three-module array [49]. In 2020, Goswami and Das (India) focused on heat recovery from biomass engines (Figure 8b), a crucial application environment, achieving an efficiency of 2.218% and a power output of 1.033 W [43]. By 2023, Usón et al. (Spain) demonstrated a significant advance in power at the boiler scale (Figure 8c), using pine pellets and agropellets. This system, featuring six TEG1-PB-12611-6.0 modules, reported high efficiency (4% to 7%) and a power output of 60 W, with an estimated capacity of 345 W for the complete system [44], reinforcing the viability of distributed generation (DG).

Only a year later, Wang et al. (China) developed an evaporation system driven by solar energy and biomass (Figure 8e), operating within a low-temperature range (3.8 to 14.9 °C) with a high evaporation rate (1.07 ${\displaystyle \frac{\mathrm{k}\mathrm{g}}{{\mathrm{m}}^2}}/\mathrm{h}$) [45]. In parallel, Pandit et al. (India) consolidated designs for rural stoves (Figure 8f), achieving 6.25 W with an efficiency of 2.67% within a range of 38 to 250 °C [46].

The chronological overview highlights the sustained evolution of TEG–biomass systems, moving from low-power designs (2.4 W in 2007) to high-capacity modular systems (estimated 345 W in 2023) and integrated solutions that maximize exergetic efficiency. This trajectory underscores the potential of TEGs to significantly improve energy efficiency and promote sustainable distributed generation; the data are compiled in

Table 3. Performance of TEMs in biomass applications.

Author, Year	Country	Material or TEM	ΔT (°C)	Efficiency (η)	Power (W)	Type of Study
Lertsatitthanakorn, 2007 [47]	Thailand	TEP1-1264-3.4 $(B{i}_{2}T{e}_3$)	150 Approx	3.20%	2.4 W	Simulation and experimental
Champier et al., 2010 [48]	France	TEP1-12656-0.8	160	Approx. 2%	7.0 (4 mod.)	Simulation and experimental
Barma et al., 2015 [28]	Malaysia	HZ-2 $(B{i}_{2}T{e}_3$) ${\left(Bi,Sb\right)}_{2}T{e}_3$	270 Aprox	8.18%	3.7 W 4.4 W	Simulation
Ma et al., 2015 [42]	Taiwan	$B{i}_{2}T{e}_3$	231 Approx	10.9% (Max Lab)	6.1 W	Simulation and experimental
Anitha Angeline, 2017 [49]	India	$B{i}_{2}T{e}_3$ PbTe TEG1-PB-12611-6.0	200	2.5–3.1	27.38 (3 mod. series)	Simulation and experimental
Goswami and Das, 2020 [43]	India	$B{i}_{2}T{e}_3$ SP1848-27145 48 modules	39	2.22%	1.033	Simulation and experimental
Li et al., 2023 [41]	China	TEG1-12708 $B{i}_{2}T{e}_3$	-	2.87% (TE)	23.4 W (6 mod.)	Simulation and experimental
Usón et al., 2023 [44]	Spain	TEG1-PB-12611-6.0 TEG1-24111-6.0 TEG1-12601-6.0	270–320	4–7%	59.6 W (6 mod.)	Simulation and experimental
Pandit et al., 2024 [46]	India	TG12-8-01L	182	2.67% (TEG)	6.25 W (1 mod.)	Simulation and experimental
Wang et al., 2024 [45]	China	-	1 sun-3.8 2 sun-7.1 3 sol-14.9	-	38.7 mV 45.4 mV 97.4 mV	Simulation and experimental

.

4.3. Geothermal Energy

Geothermal energy harnesses the internal heat of Earth to generate electricity and provide heating by extracting steam or hot water from underground reservoirs. This renewable resource relies on the temperature gradient found within geothermal fields. For power generation applications, a gradient exceeding 150 °C is required [50]. Underground areas with high heat accumulation, known as thermal pits, are especially valuable in volcanic or tectonically active zones, as they provide ideal conditions for efficient and sustainable geothermal energy generation. Below, the research works of various authors are mentioned in chronological order, highlighting significant advances in the coupling of thermoelectric modules with systems utilizing geothermal energy.

Beginning in 2012, Suter et al. (Switzerland) developed a geothermal heat conversion system using thermoelectric stacks with Bi–Te modules and $A{l}_2{O}_3$ for the heat transfer. The system operated with hot water at temperatures of 40–140 °C and cold water at 20–25 °C, achieving a maximum efficiency of 4.2% and ranging from 0.5% to 4.2% in heat-to-electricity conversion. Geothermal power generation reached 1 kW [51]. Later, during 2018, Zare and Palideh (Iran) utilized low- and medium-temperature geothermal energy sources, integrating bismuth telluride ($B{i}_{2}T{e}_3$) TEG modules to implement them into the Kalina cycle [52].

By 2019, Rostamnejad Takleh and Zare developed a geothermal-driven system featuring a booster compressor and improvements to the thermoelectric generator. The system, with a generator operating at 122 °C, achieved an exergetic efficiency 18.7% higher than conventional systems, with a 49.1% improvement in energy efficiency compared to the conventional cycle [53]. In 2020, Liu et al. studied the conversion of thermal and mechanical energy in oil wells using kinetic, vibrational, and thermal energy sources. The system operated within a temperature range of 20 °C to 125 °C, generating 800 W of total system power and reaching a heat-to-electricity conversion efficiency of 1.2% [54]. During the same year, Catalán et al. (Spain) implemented TEGs in hot dry rock reservoirs (500 °C) in Timanfaya. Using a validated model (error < 8%), an annual generation of 681.53 MWh was projected. The system stands out for its scalability and zero maintenance, as it dispenses with moving parts and auxiliary consumption (Figure 9d) [55].

In 2021, Hadjiat et al. presented a system, as shown in Figure 9a, that utilizes TEC1-12706 and TMH400302055 modules to convert thermal energy from a low-enthalpy geothermal source into electricity, instead of using organic Rankine cycles (ORCs). Designed for the Hammam Righa spa in Algeria, with water at 70 °C, the system generates electricity to power an electrolysis process for hydrogen production (alkaline electrolyzer). Simulations with TRNSYS indicate a production of 0.5652 kg of hydrogen per square meter of TEG per year, highlighting the efficiency of TEGs in producing hydrogen from low-temperature geothermal sources [56].

In 2022, Alegria et al. (Spain) took advantage of shallow hot dry rock (HDR) fields with geothermal anomalies to generate energy using a two-phase closed thermosyphon for heat absorption. The system operated in a range of 108 °C to 160 °C, achieving an efficiency of 4.06% and generating a maximum power of 36 W; this system is shown in Figure 9b [57]. Later, in 2023, H. Xie et al. (China) designed a modular TEG system for medium-to-low temperature geothermal energy applications, as shown in Figure 9c. It consists of 32 TEG units, each containing 24 $B{i}_{2}T{e}_3$ based thermoelectric modules. The system operated with hot water at 91 °C and cold water at 15 °C, reaching a generation efficiency of 1.81% and a maximum power of 3188.6 W, as the water temperature increased [58]. During 2024, Qiao et al. developed an innovative geothermal well technology for power generation. Using $B{i}_{2}T{e}_3$ modules, they achieved a net power of 228.06 kW with an efficiency ranging from 6% to 12% depending on the configuration [59]. Finally, in 2024, Cetin et al. (Turkey) proposed a hybrid geothermal-thermoelectric system, as shown in Figure 9d, using intelligent models to optimize energy production. The TEG modules operated at temperatures between 20 and 100 °C, improving the accuracy of energy predictions by 98.7% and reducing inaccurate predictions by 46–96% [60].

Table 4. Performance of TEMs in geothermal applications.

Author, Year	Country	Material or TEM	ΔT (°C)	Efficiency (η)	Power (W)	Type of Study
Cetin et al., 2024 [60]	Turkey	-	80 °C	2.6	42.6 W (48 mod.)	Simulation and experimental
Xie et al., 2023 [58]	China	TEG1-19913 $B{i}_{2}T{e}_3$	76.0 °C	1.81	1043.9 W (768 mod.)	Simulation and experimental
Alegria et al. (2022) [57]	Spain	Marlow TG12-8L	160 °C	Prot. A-4.06% Prot. B-3.72%	36 W (16 mod.)	Simulation and experimental
Hadjiat et al. (2021) [56]	Algeria	TEC1-12706	20–50 °C	4% Approx	0.25 W (1 mod.)	Simulation and experimental
Liu et al. (2020) [54]	China	$B{i}_{2}T{e}_3$	105 °C	1.20%	Approx 800 W (system)	Simulation
Rostamnejad Takleh et al. (2019) [53]	Iran	-	55–65 °C	1.2–3%	14.8 kW (Net Power of the combined CPER-TEG system	Simulation
Zare et al. (2018) [52]	Iran	$B{i}_{2}T{e}_3$ $S{b}_{2}T{e}_3$	21.9 °C	1.20%	664 W (power generated by the TEG system)	Simulation
Suter et al. (2012) [51]	Switzerland	(Stack)	120 °C	4.2% (Max. modeled efficiency)	1000 W (system)	Simulation

shows data for geothermal systems integrated with thermoelectric modules.

4.4. Hybrid Photovoltaic-Thermoelectric (PV-TEG) Systems

Solar photovoltaic (PV) energy constitutes the leading technology for the direct conversion of solar radiation into electricity. However, its efficiency is penalized by the increase in the operating temperature of the cells. The integration of thermoelectric modules (TEMs), whether in the generator mode (TEG) to recover waste heat or in the cooling mode (TEC) via the Peltier effect, offers an active thermal management strategy that promises to optimize the overall system performance [61]. Recently, the use of spray cooling technologies has proven effective in solar thermoelectric concentration (STEG) systems, optimizing the refrigerant mass flow and the concentration ratio to maximize power density [62].

In 2018, Dimri et al. (India) investigated the integration of TEC modules at the base of opaque photovoltaic collectors (PV-TEC) (Figure 10a). By comparing partial and full coverage configurations, they determined that the fully covered design increases electrical efficiency by 4.46% to 6.23% through optimized thermal management of the panel [63].

In 2021, Tiwari et al. (Saudi Arabia) proposed a thermal model for flat-plate collectors (PV-TE-FPC) using semi-transparent PET cells coupled to water flow tubes (Figure 10b) [64]. Simultaneously, Naderi et al. (Iran) developed a PV-PCM-TEG system. Although the inclusion of phase change materials (PCMs) increased solar cell efficiency by 1.38%, the TEG efficiency decreased drastically (from 4.32% to 0.61%), highlighting the complexity of thermal coupling between components.

In 2022, Farhani et al. (Morocco) evaluated a $B{i}_{2}T{e}_3$ prototype operating at 52 °C with cell efficiency varying between 5% and 20%. Continuing these advances in India, Singh et al. integrated TEC-PCM systems with heat sinks (Figure 10c), achieving a 5.73% increase in panel efficiency due to the thermal stabilization provided by the PCMs [68].

Continuing with these advances in India, Singh et al. integrated the TEC-PCM systems with heat sinks (Figure 10c), achieving a 5.73% increase in panel efficiency due to the thermal stabilization provided by the PCMs [65]. In 2023, working on cogeneration and distillation, Wen et al. (China) presented a PV-MCHP-TEG experimental platform (Figure 10d) that reached a peak thermal efficiency of 93.26% and an electrical generation of 8.33 W. For their part, Shoeibi et al. (Figure 10e) integrated TEGs into a modified solar still. The system not only generated a maximum power of 75 W but also achieved a distilled water productivity of 1162 mL$/{\mathrm{m}}^2$, with competitive costs of 0.147 $/kWh, validating the viability of polygeneration [67]. Additionally, in the same year, Lv et al. (China) employed hybrid high-concentration photovoltaic (HCPV) systems, successfully maintaining the cell temperature below 329 K (56 °C) with an experimental efficiency near 40% [69]. In Iran, Fallah Kohan et al. performed a comparative numerical analysis between various modules (TEG71, 127, 49), identifying that the C-49 CPV-TEG system offers the best relative performance, achieving net improvements of 0.57% in terms of total system generation [70].

Finally, Mahmoud Al Shurafa et al. developed a thermal resistance-based model for $B{i}_{2}T{e}_3$ modules, obtaining an efficiency of 1.82% through forced water cooling [71]. The data for these applications are compiled in

Table 5. Performance of TEMs in PV applications.

Author, Year	Country	Material or TEM	ΔT (°C)	Efficiency (η)	Power (W)	Type of Study
Selimefendigil et al., 2024 [72]	Saudi Arabia	$B{i}_{2}T{e}_3$	20–30 °C	-	0.33 V	Simulation
Fallah Kohan et al., 2023 [70]	Iran	GM200-71-14-16 GM200-127-14-16 GM200-49-45-25	3 °C	0.57%	<0.08 W	Simulation
Lv et al., 2023 [69]	China	-	22 °C	0.60%	PCP V max: 30.61 W. PTEG max: 0.30 W.	Simulation
Shoeibi et al., 2023 [67]	Iran	TEG1-12611-6	-	-	0.19–0.21 W (2 mod.)	Simulation and experimental
Wen et al., 2023 [66]	China	TEG1-19913	50 °C approx	0.97%	Average TEG power: 8.33 W (6 mod.).	Simulation and experimental
Singh et al., 2022 [65]	Germany	$B{i}_{2}T{e}_3$	25 °C	-	-	Simulation and experimental
Farhani et al., 2022 [68]	France	$B{i}_{2}T{e}_3$	27 °C	-	7 mW (2 mod.)	Simulation and experimental
Naderi et al., 2021 [64]	Iran	-	Tsc reduction: approx. 20.7 °C (from 74.43 °C to 53.72 °C).	approx 4.32%	-	Simulation
Tiwari et al., 2018 [63]	India	-	32 °C	-	0.44–1.07 W (36 mod.)	Simulation and experimental

.

4.5. Solar Thermal Systems

Solar thermal systems transform solar radiation into thermal energy for heating fluids, direct use, or electricity generation in concentrating plants. The integration of thermoelectric modules into these systems presents itself as a promising hybrid solution to mitigate the intermittency of renewable sources.

A significant breakthrough is the development of bidirectional thermoelectric generators that employ thermal storage to ensure energy production during nighttime periods, leveraging the thermal gradient between the stored heat and the environment [73]. Fundamental research, such as that by Freire et al. (2021), underscores that the efficiency of devices based on the Peltier effect increases proportionally to the thermal gradient, reporting efficiencies of 2% with $∆T$ of 55 °C. These findings emphasize the need to optimize heat management to maximize performance in photothermal applications [74]. The most prominent advances in the integration of thermoelectric modules in solar thermal systems are described below. Starting in 2010, Amatya et al. analyzed solar thermoelectric generators (STGs) (Figure 11a) using bismuth telluride ($B{i}_{2}T{e}_3$) modules and advanced materials such as ErAs:(InGaAs). Under a concentration of 669 suns, commercial modules reached a conversion efficiency of 3% (1.8 W), while next-generation materials were projected to reach efficiencies of up to 5.6% at 1209 suns [75].

Subsequently, in 2011, Singh et al. proposed a system that combines a gravity-assisted thermosyphon with thermoelectric modules (Figure 11b) to extract heat from solar ponds. By taking advantage of temperature differentials of 40–60 °C, the system demonstrated the ability to generate electricity continuously, even in the absence of direct solar radiation, thanks to the thermal inertia of the pond [76].

In later years, specifically in 2015 within the field of cogeneration, Miao et al. developed a prototype (Figure 11c) with $B{i}_{2}T{e}_3$ modules integrated into a solar absorber. The system operated at a hot-side temperature of 152 °C, reaching a solar-to-electric efficiency of 1.14% (18 W) while simultaneously producing hot water at a rate of 2 L/min [77].

Simultaneously, Zhang et al. designed a device (Figure 11d) to power low-power sensors (4.7 mW, 4.41 V) by recycling solar radiation and ambient cooling in vacuum tubes [78].

Just two years later, in 2017, Rahbar et al. integrated thermoelectric modules into a double-slope solar still (Figure 11e) to maintain distilled water production during the night, achieving a maximum exergetic efficiency of 25% [79]. Meanwhile, Lv et al. optimized the contact thermal resistance in an STEG system (Figure 11f), reaching an efficiency of 1.956% and an instantaneous power of 0.659 W under irradiation exceeding 700 $\mathrm{W}/{\mathrm{m}}^2$ [80].

During 2018, Atalay et al. evaluated the performance of the TEG1-12611-6.0 module under different inclination angles (Figure 11g) [81]. In 2021, Montero et al. reported a significant advance in desert environments in Chile, where using a differential of 120 °C they reached an efficiency of 7% with an estimated annual production of 5735 Wh [82]. In 2022, Al-Tahaineh and AlEssa validated the use of flexible TEGs coupled to heat exchangers, generating 1.03 W under steady-state conditions of 60 °C [83].

With these advances, in 2023, Patel et al. in India optimized a solar still (Figure 11h) using TEG modules, increasing energy efficiency by 23.73% and doubling productivity during hours without sun [84]. Finally, Jiang in China applied TEC1-12706 modules in a thermoelectric distiller for alcohol production, achieving a rate of 15.8 g/min whit a $∆T$ of just 20 °C [85]. Table 6 summarizes the data for the PV systems discussed.

Figure 11. Projects developed with thermoelectric modules and solar thermal technology. (a) Solar thermoelectric micro-generator: Rendering of the structural design for micropower applications through solar harvesting. Based on Amatya and Ram., 2010 [75]. (b) Solar pond power generation: Representation of a system utilizing a combined thermosyphon and thermoelectric modules to extract energy from a solar pond. Based on Singh et al., 2011 [76]. (c) Parabolic trough concentrator co-generator: Rendering of the experimental setup featuring a parabolic trough concentrator without an evacuated tube integrated with TEG modules. Based on Miao et al., 2015 [77]. (d) Surface-to-air thermal gradient device: Rendering of the system performance based on the temperature difference between solar-irradiated surfaces and ambient air. Based on Zhang et al., 2015 [78]. (e) Double-slope solar still: Representation of a solar distiller equipped with thermoelectric heating modules for performance enhancement. Based on Rahbar et al., 2017 [79]. (f) Combined heat and power (CHP) solar system: Rendering of a high-performance solar thermoelectric system designed for simultaneous thermal and electrical energy production. Based on Lv et al., 2017 [80]. (g) System with thermosyphon and nanofluids: Rendering of a TEG configuration employing two-phase thermosyphon heat pipes and nanoparticle-enhanced fluids. Based on Atalay et al., 2018 [81]. (h) Modified solar distiller with external condenser: Representation of a single-basin solar distiller performance improved by augmenting a thermoelectric cooler as an external condenser. Based on Patel et al., 2023 [84].

Figure 11. Projects developed with thermoelectric modules and solar thermal technology. (a) Solar thermoelectric micro-generator: Rendering of the structural design for micropower applications through solar harvesting. Based on Amatya and Ram., 2010 [75]. (b) Solar pond power generation: Representation of a system utilizing a combined thermosyphon and thermoelectric modules to extract energy from a solar pond. Based on Singh et al., 2011 [76]. (c) Parabolic trough concentrator co-generator: Rendering of the experimental setup featuring a parabolic trough concentrator without an evacuated tube integrated with TEG modules. Based on Miao et al., 2015 [77]. (d) Surface-to-air thermal gradient device: Rendering of the system performance based on the temperature difference between solar-irradiated surfaces and ambient air. Based on Zhang et al., 2015 [78]. (e) Double-slope solar still: Representation of a solar distiller equipped with thermoelectric heating modules for performance enhancement. Based on Rahbar et al., 2017 [79]. (f) Combined heat and power (CHP) solar system: Rendering of a high-performance solar thermoelectric system designed for simultaneous thermal and electrical energy production. Based on Lv et al., 2017 [80]. (g) System with thermosyphon and nanofluids: Rendering of a TEG configuration employing two-phase thermosyphon heat pipes and nanoparticle-enhanced fluids. Based on Atalay et al., 2018 [81]. (h) Modified solar distiller with external condenser: Representation of a single-basin solar distiller performance improved by augmenting a thermoelectric cooler as an external condenser. Based on Patel et al., 2023 [84].

Table 6. Performance of TEMs in solar thermal applications.

Author, Year	Country	Material or TEM	ΔT (°C)	Efficiency (η)	Power (W)	Type of Study
Al-Tahaineh y AlEssa, 2022 [83]	Jordan	TEC1-12706	60 °C	0.06%	1.03 W (50 mod.)	Simulation
Tashtoush et al., 2021 [86]	Jordan	-	70 °C	2.4–4.2%	196 W (200 mod.)	Simulation
Montero et al., 2023 [73]	Chile	TE-MOD-5W5V-40S $B{i}_{2}T{e}_3$	120 °C Approx	4.4–5%	1.75 W	Simulation and experimental
Miao et al., 2015 [77]	China	TEHP1-12656-0.3 $B{i}_{2}T{e}_3$	122 °C	1.14%	18 W (6 mod.)	Simulation and experimental
Amatya y Ram, 2010 [75]	United States	TG12-4 $B{i}_{2}T{e}_3$	180 °C	3%.	1.8 W (2 mod.)	Simulation and experimental
Lv et al., 2017 [80]	China	TGM-199-1.4-0.8 $B{i}_{2}T{e}_3$	24 °C	1.956%.	0.659 W (20 mod,)	Simulation and experimental
Atalay et al., 2022 [87]	Turkey	TEG1-12611-8.0 $B{i}_{2}T{e}_3$	36.1 °C	0.37%	0.177 W	Simulation and experimental
Atalay et al., 2018 [81]	Turkey	TEG1-12611-6.0	-	0.85%	1.425 W (4 mod.)	Simulation and experimental
Zhang Zhe et al., 2015 [78]	China	GM-200-127-14-16	14.40 °C.	0.23%	20.43 mW	Simulation and experimental

Table 6. Performance of TEMs in solar thermal applications.

Author, Year	Country	Material or TEM	ΔT (°C)	Efficiency (η)	Power (W)	Type of Study
Al-Tahaineh y AlEssa, 2022 [83]	Jordan	TEC1-12706	60 °C	0.06%	1.03 W (50 mod.)	Simulation
Tashtoush et al., 2021 [86]	Jordan	-	70 °C	2.4–4.2%	196 W (200 mod.)	Simulation
Montero et al., 2023 [73]	Chile	TE-MOD-5W5V-40S $B{i}_{2}T{e}_3$	120 °C Approx	4.4–5%	1.75 W	Simulation and experimental
Miao et al., 2015 [77]	China	TEHP1-12656-0.3 $B{i}_{2}T{e}_3$	122 °C	1.14%	18 W (6 mod.)	Simulation and experimental
Amatya y Ram, 2010 [75]	United States	TG12-4 $B{i}_{2}T{e}_3$	180 °C	3%.	1.8 W (2 mod.)	Simulation and experimental
Lv et al., 2017 [80]	China	TGM-199-1.4-0.8 $B{i}_{2}T{e}_3$	24 °C	1.956%.	0.659 W (20 mod,)	Simulation and experimental
Atalay et al., 2022 [87]	Turkey	TEG1-12611-8.0 $B{i}_{2}T{e}_3$	36.1 °C	0.37%	0.177 W	Simulation and experimental
Atalay et al., 2018 [81]	Turkey	TEG1-12611-6.0	-	0.85%	1.425 W (4 mod.)	Simulation and experimental
Zhang Zhe et al., 2015 [78]	China	GM-200-127-14-16	14.40 °C.	0.23%	20.43 mW	Simulation and experimental

The quantitative synthesis of the literature, presented in Figure 12, reveals a direct correlation between the composition of thermoelectric materials and the technical viability of the analyzed renewable applications. Bismuth and antimony-based alloys ($B{i}_{2}T{e}_3$, ${\left(Bi,Sb\right)}_{2}T{e}_3$, and $S{b}_{2}T{e}_3$) operate predominantly within the low-temperature regime ($\mathsf{\Delta }$T < 300 °C), positioning themselves as the only viable alternatives for ocean thermal energy conversion (OTEC) systems and flat-plate solar collectors (PV-TEG). However, the reported experimental data exhibit significant dispersion in efficiency ($\eta$), with minimum values as low as 0.06% in non-optimized conditions; such low experimental performance justifies the prevalence of studies based exclusively on numerical modeling in these sectors.

In contrast, lead telluride ($PbTe$) and hybrid configurations (e.g., $B{i}_{2}T{e}_3$ N-type/$PbTe$ P-type segmentation) extend the operational range into the mid-temperature regime (up to 600 °C). This transition increases conversion efficiency to a range of 12% to 13%, reaching the critical threshold for the economic competitiveness of high-enthalpy geothermal energy and concentrated solar power (CSP) systems.

It is noteworthy that for the ${\left(Bi,Sb\right)}_{2}T{e}_3$ family, the temperatures recorded in this review exceed the typical operational ranges found in standard literature. This discrepancy is attributed to variability in the placement of thermal sensors, as readings obtained at the heat source interface differ substantially from those taken within the cooling flow.

Finally, while bismuth alloys constitute the commercial standard for reduced gradients, $PbTe$ acts as the necessary catalyst for high-energy-density applications, mitigating the gap between theoretical performance and experimental results in large-scale power systems.

5. Comparative Performance Analysis and Future Perspectives

Global analysis of thermoelectric module (TEM) integration reveals exponential growth in scientific production over the last decade, reaching a maximum peak in publications between 2023 and 2024 (Figure 13). This dynamism reflects a strategic geographic concentration where China leads the research with 13 identified publications, followed by Iran (7), Turkey, and India (5 each), while the European contribution (Spain, France, and Germany) remains at moderate levels (Figure 14).

5.1. Technological Readiness and Sectoral Distribution

The maturity of the field is still at an intermediate stage and presents a critical methodological imbalance: 72.34% of the literature is based on simulations and numerical modeling, while only 27.66% includes experimental validation or purely experimental systems (Figure 15). Sector-wise, research is uneven (Figure 16), showing that solar energy (48.93%) is the most dynamic axis, divided into solar thermal (25.53%) and photovoltaics (23.40%). The current trend in PV-TEG systems focuses on active thermal management using nanofluids and phase change materials (PCMs) to stabilize generation.

Biomass (21.28%) shows higher maturity due to wide thermal gradients (200–360 °C), achieving efficiencies close to 4%. The trend points toward combined heat and power (CHP) in domestic stoves, facing challenges such as thermal biofouling from ash. Furthermore, geothermal energy (17.02%) focuses on heat recovery from low-enthalpy fluids and petroleum by-products, seeking power outputs in the kilowatt (kW) range through modular systems.

Finally, ocean energy (12.77%) appears as the least developed field. Limitations due to low thermal potential ($∆T<25°\mathrm{C}$) result in efficiencies below 0.1%. The exclusive use of $B{i}_{2}T{e}_3$ highlights a stagnation in material innovation for this niche. This stagnation is due to the fact that commercial $B{i}_{2}T{e}_3$ is optimized for much higher thermal gradients. When operating under the minimum ocean differential (20–25 °C), the material works far from its peak figure of merit (ZT) value, drastically reducing conversion efficiency.

5.2. Challenges and Barriers to Widespread Adoption

The mass adoption of thermoelectric generators (TEGs) in heat recovery and renewable energy faces structural barriers that limit their competitiveness against mature alternatives. The primary obstacle is the low conversion efficiency, determined by the figure of merit (ZT), which typically ranges between 5% and 8% in commercial modules. Additionally, the high cost of high-performance materials such as bismuth telluride and its alloys, along with the complexity of mass production, results in a high levelized cost of energy (LCOE) per watt generated, hindering competition with consolidated technologies like photovoltaics (PV).

Long-term reliability and durability constitute another critical challenge; operation under high gradients and thermal cycles induces joint degradation, fatigue, and mechanical stress, reducing the lifespan of the equipment, especially in high-temperature or solar concentration environments. In the $B{i}_{2}T{e}_3$ modules operating under a cold-side temperature ($T_C$) of 303 K and a differential ($∆T$) of 120 K—placing the hot side ($T_H$) at 423 K—the estimated total lifespan until structural failure is approximately 42,510 cycles. However, performance degradation becomes critical much earlier; after 4000 cycles, the output power decreases by 18% and efficiency drops by nearly 10% [88]. Although the duration of each cycle varies by application, the accumulation of these thermal transitions is the determining factor in the loss of integrity of the interfaces of the device.

Beyond the material, practical implementation in hybrid systems, such as solar thermoelectric generators (STEGs), requires sophisticated thermal management to maintain an adequate temperature differential across the modules. This demands robust heat exchangers and complex optical–thermal design, which increases complexity and scaling costs. Another essential problem is the low power density, which, to reach usable electrical output levels (kW), requires the massive integration of dozens or hundreds of modules.

6. Conclusions

The integration of thermoelectric modules (TEMs) into renewable energy systems represents a technological frontier with disruptive potential for global energy efficiency. This analysis confirms that the solar sector leads scientific production with 48.93% of applications, while biomass and waste heat recovery (WHR) demonstrate superior maturity owing to favorable thermal gradients between 200 °C and 360 °C. However, a critical dependence on numerical modeling (72.34%) persists compared to experimental validation (27.66%). This disparity is particularly evident in the OTEC sector, where theoretical projections of 500 kW contrast with experimental results of barely 0.92 W, highlighting the need to transition toward validations under real-world conditions.

The success of mass TEG adoption depends on overcoming thermoeconomic limitations and structural durability issues. The low efficiency of commercial materials (5–8%) and the high cost per watt generated are exacerbated by reliability challenges; under standard operating conditions ($∆T=120\mathrm{K}$), $B{i}_{2}T{e}_3$ modules face critical performance degradation after 4000 cycles, with power losses of 18%, even though total structural failure is estimated at 42,510 cycles.

The future of the field demands a paradigm shift toward polygeneration. By integrating TEGs into combined heat and power (CHP) schemes and hybrid PV-TEG-PCM systems, global efficiency can exceed 70%, transforming waste heat into a valuable resource. Ultimately, the robustness and modularity of thermoelectric technology position it as an essential component for the energy transition, especially in niche applications and industrial processes were reliability offsets current limitations in lifespan and efficiency.