Power Generation Applications Research Articles

Enhancing sustainable energy production through biomass gasification gas technology: a review

This proposed research investigates the sustainable and innovative use of biomass gasification for generating electricity. Biomass gasification is a versatile and eco-friendly technology that converts organic materials, such as agricultural residues, forestry waste, and even municipal solid waste, into a valuable source of clean energy. This research delves into the various aspects of this technology, including its processes, efficiency, environmental impact, and potential applications in power generation. Biomass gasification gas, often referred to as syngas, presents a promising avenue for addressing the rising energy demand while lowering greenhouse gas emissions and preventing climate change. This research seeks to offer a thorough insight into the principles and practices behind biomass gasification, highlighting its role in the transition towards a sustainable and renewable energy future. The research will investigate the technical and economic feasibility of utilizing biomass gasification gas for electricity generation, examining the benefits, challenges, and opportunities associated with this alternative energy source. By addressing critical issues such as feedstock availability, gasifier technology, gas cleaning processes, and power plant integration, this study seeks to offer valuable insights into the potential of biomass gasification gas as a clean and renewable energy solution.

Study on photovoltaic/thermal application for water desalination and electricity power generation using high thermal conducting materials

Our research focus is the enhancement of potable water yield and Output Power (PO) which is achieved through by means of adding three metals like Copper, Aluminium and Iron. The composition comprises of Aluminium-0.17 %, Copper-2.42 % and Iron-2.64 % in volume percentage. Because of the fact that the samples contain high thermalproperties such as thermalconductivity and thermalexpansion it stores heat as an energy and delivers it into the fluid. The daily yield of solar-still is about 1.5 times the conventional solar-still that is the yield is increased from 1.30Ltr on a day to 1.90Ltr. This states that by increasing the amount of heat stored and heat transferred one could make the standard PV/T into a more reliable and cost-efficient one. The power production in the proposed PV panel seems to be 5 % higher than that of conventional PV panels. The power output is evidently increased from 48.4 Watts to 49.9 Watts. The net-profit of water produced per day in proposed system is found to be in the range of (0.3960 ∼ 0.4143) USD but conventional one is (0.2562 ∼ 0.2732) USD. The payback period is found to be lower for proposed setup it is only (240.9 ∼ 259.15) days which is very profitable than that of the conventional setup is (328.5 ∼ 357.7) days of payback period.

Enhancing Closed System Efficiency through CuO Nanofluids: Investigating Thermophysical Properties and Heat Transfer Performance

Working fluids play a crucial role in closed systems to ensure efficient performance, particularly in systems for heating, cooling, or power generation, where the heat transfer coefficient is pivotal. This study delves into the thermodynamic properties and stability of copper oxide (CuO) nanofluids as alternative working fluids in closed systems. Investigating colloidal suspensions of CuO nanoparticles, the research aims to enhance heat transfer efficiency. CuO nanoparticles, sized at 40nm and 80nm, were dispersed in base fluids like water, ethylene glycol, and oil sans surfactants. The study, divided into static and dynamic phases, examines key nanofluid properties including viscosity, thermal conductivity, specific heat, and heat transfer rate. Through methodologies such as KD2 Pro for thermal conductivity, rheometer for viscosity, and small heat exchanger for heat transfer rate analysis, the effects of volume concentration, temperature, and nanoparticle size on nanofluid performance were evaluated. Sedimentation analysis employed both quantitative (standard deviation calculations) and qualitative (sediment capture methods) approaches. The findings highlight the superior heat transfer rate of 40nm CuO nanofluid at 0.467% volume concentration which is 9.08 kJ/s, suggesting its potential to optimize system efficiency, particularly in heating, cooling, and power generation applications.

Cost-minimization and Implicit Innovative Training for Energy Prediction using Deep Neural Network

To alleviate adverse environmental impacts, power stations and energy grids must optimize resource application for power generation. Accordingly, soothsaying guests' energy consumption has come integral to every energy operation system. exercising data from smart homes, energy operation information can train deep neural networks to anticipate unborn energy demands. As the frugality advances, both energy product and consumption have steadily increased over the times. Amidst global enterprises over energy force and environmental challenges, this study introduces a new vaticination approach using neural networks. By using statistical data from the energy assiduity, these networks directly read changes in energy product and consumption trends. Numerical findings validate the efficacity of this neural network- grounded vaticination system, emphasizing its significance in energy conservation sweats. Predicting energy consumption stands as a pivotal bid in energy conservation enterprise. Support vector retrogression, famed for its efficacity in handlingnon-linear data retrogression challenges, has surfaced as a prominent tool for soothsaying structure energy consumption. Through analysis of literal data, it's apparent that the relationship between lighting energy consumption and its impacting factors is non-linear.

Improvement of X-ray Photoelectric Conversion Performance of MAPbI3 Perovskite Crystals by Ionic Liquid Treatment

Although perovskite has great potential in optoelectronic devices, the simultaneous satisfaction of material stability and high performance is still an issue that needs to be solved. Most perovskite optoelectronic devices use quantum dot spin coating or the gas-phase growth of perovskite thin films as the photoelectric conversion layer. Due to stability limitations, these materials often experience a significant decrease in photoelectric conversion efficiency when encountering liquid reagents. The self-assembled growth of hybrid perovskite crystals determines superior lattice ordering and stability. There are three types of ionic liquids—[Emim]BF4, EMIMNTF2, and HMITFSI—that can effectively enhance the X-ray photoelectric conversion performance of hybrid perovskite crystal CH3NH3PbI3 (MAPbI3), and the enhancement in the photocurrent leads to an improvement in the sensitivity of X-ray detectors. We soak the perovskite crystals in an ionic liquid and perform two treatment methods: electrification and dilution with ETOH solution. It is interesting to find that MAPbI3 perovskite single crystal materials choose the same optimized ionic liquid species in X-ray detection and photovoltaic power generation applications, and the effect is quite the opposite. Compared with untreated MAPbI3 crystals, the average photocurrent density of Electrify-HMITFSI MAPbI3 increased by 826.85% under X-ray excitation and the sensitivity of X-ray detectors made from these treated MAPbI3 crystals significantly increased by 72.6%, but the intensity of the PL spectrum decreased to 90% of the untreated intensity.

Enhanced microstructure and mechanical properties of ZrN-reinforced AlSi10Mg aluminum matrix composite

Aluminum matrix composites (AMCs), incorporating Zirconium Nitride (ZrN) as reinforcing additives, demonstrate immense promise for applications in aerospace, automotive, and power generation due to their unique combination of low density, superior mechanical properties, and excellent thermal/electrical conductivity. This study explores the influence of ZrN reinforcement on the microstructure and mechanical properties of AlSi10Mg metal-matrix composites. Utilizing high-energy ball milling (HEBM) and spark-plasma sintering (SPS), ZrN/AlSi10Mg composites were synthesized, achieving nearly full density with uniform ZrN distribution, while phase and chemical transformations were not observed in the bulk composites. The addition of ZrN resulted in a notable increase in hardness of 237% (182 ± 8 HV2), elastic modulus of 56% (114 ± 3 GPa), compressive and tensile strength of 183% (565 ± 15 GPa), and 125% (387 ± 9 GPa), respectively, for composites containing 30% ZrN, compared to the non-reinforced alloy. Experimentally determined coefficients of thermal expansion (CTEs) for composites with 10%, 20%, and 30% ZrN content were 19.8 × 10−6 °C−1, 19.1 × 10−6 °C−1, and 18 × 10−6 °C−1, respectively, which well relates to Schapery’s model. These findings contribute to understanding the synthesis, mechanical behavior, and thermal properties of ZrN/AlSi10Mg composites, demonstrating their potential for diverse engineering applications.

High cooling and power generation performance of α-MgAgSb with intrinsic low lattice thermal conductivity

α-MgAgSb is a promising near-room temperature thermoelectric material, characterized by its intrinsically low lattice thermal conductivity, a feature attributed to the significant atomic mass contrast and complex crystal structure. In this work, we achieved respective zTavg values of 0.58 in the temperature range of 150–300 K and 1.22 in the range of 300–550 K for α-MgAgSb, indicating exceptional potential for both cooling and power generation applications. Additionally, through the reduction of cross-sectional size, the stability of MgAgSb/Ag interface was enhanced under high temperature, which is crucial for the practical application of thermoelectric module. To verify the property of α-MgAgSb material, a 7-pair MgAgSb/Bi2Te3 module was fabricated, demonstrating a maximum cooling temperature difference ΔTmax of 60 K at hot-side temperature of 300 K and a power generation efficiency ηmax of 7.2 % with ΔT of 275 K. This work paves the way for the application of Mg-based thermoelectric materials.

Multiphysics performance evaluation of thermoelectric generator arrays

Thermoelectric generators (TEGs) are widely used nowadays in heat recovery and power generation applications. TEGs are connected in series and/or parallel configurations in an array to meet the voltage and/or current requirements of electric load. Therefore, it is necessary to examine the electrical performance of different TEG array configurations employed in TEG systems. In the present study, an experimentally validated hydro-thermoelectric multiphysics computational model is employed by integrating the computational fluid dynamics (CFD) approach with the TEG model to test the electrical performance of various TEG array configurations and determined load voltage, current, associated power, and conversion efficiency. Each TEGs array configuration’s performance is evaluated by varying the hot water temperature from 27 °C to 42 °C as well as hot and cold water flowrate from 0.5 L/min to 2 L/min. Various configurations including series and a combination of series and parallel connections were designed. The findings show that the series configuration of the TEGs array generates higher electric power than series and parallel combined configurations whereas the latter achieves the maximum power point at a higher electric current than the series configuration. The comparative analysis of CFD model with the experimental results indicates a maximum discrepancy of 7 %. For thermoelectric power-generating systems, the proposed model might serve as a benchmark for optimizing TEGs array configurations according to the electric load requirements.

A multistage assembled laminar membrane for solar thermal conversion and nighttime electricity production

Interfacial solar-driven evaporation technology has great potential to address freshwater shortages. Despite significant progress in developing efficient evaporators, the challenge of evaporation rates of two-dimensional evaporators still needs to be solved. In addition, interfacial solar-driven evaporation relies on solar energy to trigger the evaporation of thin water layers at the water–air interfaces. It thus may be at risk of interruption in the absence of sunlight. To overcome these challenges, we have intelligently assembled different functional components to form a multistage assembled lamellar membrane used for interfacial solar-driven evaporation during the day and power generation at night. Specifically, solar evaporation achieved a high evaporation rate of 1.78 kg m−2h−1 under single solar irradiation. Desalination and water purification capabilities were also demonstrated. More notably, the membrane also showed its worth as an electrical generator in overcast weather or nights, delivering a voltage of 309 mV and a current of 2 μA. The voltage and current can be multiplied by connecting four membranes in series and parallel to 1.1 V and 8.8 μA, respectively. This powers a calculator directly and stores excess electricity in a capacitor, which can be as high as 2 V in 2000 s. This innovation shows promising applications in next-generation freshwater production and power generation.

Heavy elemental compound addition enhancing thermoelectric performance of Chromium Silicide synthesized by Spark plasma sintering

Silicide-based materials drive great potential in developing mid-temperature range thermoelectric generators (TEGs) applications. However, realizing the efficient and stable silicide materials is still a constraint for its real potential device applications. Chromium silicide will likely become p-type thermoelectric materials in this direction for thermoelectric power generation applications. However, high thermal conductivity values impede the figure-of-merit (zT). The present work adopts the chromium silicide, adding different weight percentages of well-known ZrCoSbSn compounds employing the compaction spark plasma sintering (SPS) technique. By adopting these combinations, the thermal conductivity is significantly reduced by enhanced scattering of heat-carrying phonons by multiple interfaces. Also, the maximum power factor value of ≃ 2.1 x 10-3 W/mK2 is achieved by employing a CrSi2 -ZrCoSbSn compound addition. The enhanced figure-of-merit value (zT) ≃ 0.26 is realized in the temperature at 623 K for the CrSi2-5wt% ZrCoSbSn compound material.

Multiscale Phonon Scattering for Ultra‐Low Thermal Conductivity in Co‐Doped ZrCoBi Half‐Heusler

AbstractZrCoBi‐based half‐Heuslers have great potential in thermoelectric power generation due to their high performance in both n‐ and p‐type constituents. In this work, Te and Ni is adopted as an n‐type co‐dopant to increase the carrier concentration and lower the lattice thermal conductivity of ZrCoBi. By further alloying with Sb at the Bi site, a large number of scattering centers of different scales are introduced, significantly reducing the lattice thermal conductivity to ≈1.2 W m−1 K−1 at 300 K and ≈0.96 W m−1 K−1 at 973 K in ZrCo0.94Ni0.06Bi0.775Te0.075Sb0.15. Consequently, the state‐of‐the‐art figure‐of‐merit zT ≈1.2 is achieved, and the average zT reached ≈0.66, which is higher than all of the reported n‐type ZrCoSb‐based and ZrCoBi‐based half‐Heusler alloys. This work provides an effective pathway for optimizing n‐type ZrCoBi alloys, laying the foundation for their further development and application in thermoelectric power generation.

Sustainable assessment of low viscous biofuel for compression ignition engine using wear debris analysis – Tribological investigation

Lemon Peel oil is one of the ecologically friendly biofuels has many significant benefits for power generation applications. Lemon peel oil is extracted from left over rinds of lemon peel by applying steam distillation process. In the present work, long term durability study of compression ignition engines has been conducted using 10 % and 20 % low viscous biofuels with diesel. For 256 h long term durability investigation, wear debris, ferrography evaluation of lubricating oil samples and cylinder liner surface roughness analysis are conducted for these fuels operations. The results have revealed that higher metal wear concentrations are observed in the samples of lubricant oil with LPO20 compared with LPO10 and diesel. It is due to more oxidation of fuel and lubricant oil dilution while running the engine. Similarly, wear of the engine cylinder liner surface is also more when the engine is fuelled with LPO20 as compared to LPO10 and diesel. In addition, Ferrography results have shown a higher wear concentration of lubricant samples collected from the LPO20-operated engine compared with other used fuels. Finally, it is concluded that has poor engine life due to its low viscous nature and it could be improved by suitable reformulation for long term application.

Development of helium turbine loss model based on knowledge transfer with neural network and its application on aerodynamic design

Helium turbines are widely used in the Closed Brayton Cycle for power generation and aerospace applications. The primary concerns of designing highly loaded helium turbines include choosing between conventional and contra-rotating designs and the guidelines for selecting design parameters. A loss model serving as an evaluation means is the key to addressing this issue. Because of the property disparities between helium and air, turbines utilizing as working fluid experience distinct loss mechanisms. Consequently, directly applying gas turbine experience to the design of helium turbines leads to inherent inaccuracies. A helium turbine loss model is developed by combining knowledge transfer and the Neural Network method to accurately predict performance at design and off-design points. By utilizing the loss model, design parameter selection guidelines for helium turbines are obtained. A comparative analysis is conducted of conventional and contra-rotating helium turbine designs. Results show that the prediction errors of the loss model are below 0.5 % at over 90 % of test samples, surpassing the accuracy achieved by the gas turbine loss model. Design parameter selection guidelines for helium turbines differ significantly from those based on gas turbine experience. The contra-rotating helium turbine design exhibits advantages in size, weight, and aerodynamic performance.

Mechanical behaviors and wear resistances of 3D-printed AISI 321 components for combustor swirler applications

This comprehensive study investigates the mechanical behaviors and wear characteristics of 3D-printed AISI 321, with a specific focus on its applicability in combustion swirler components for the power generation industry. Through meticulous exploration of various process parameters and postprocessing techniques, valuable insights were gained into the performance disparities between layered and cast specimens. Analyses revealed intriguing comparisons of key data points: while layered specimens exhibited higher surface roughness (4.37 μm), they demonstrated a lower friction coefficient (0.26) yet a higher wear rate (4.79 × 10−7 mm3/N·mm) compared to their cast specimens. Further investigation into the influence of layering direction unveiled that horizontally layered specimens presented smoother surfaces (0.26 μm), higher hardness (340 HV 1), and improved wear resistance (2.61 × 10−7 mm3/N·mm) compared to vertically layered specimens. Furthermore, the study examined the friction and wear characteristics of layered specimens based on the contact surface, including the top, side, and bottom surfaces. Lastly, a comparison of the mechanical behavior and friction/wear characteristics of layered specimens and cast specimens was conducted, demonstrating that the layered specimens fabricated using the Laser Powder Bed Fusion (LPBF) method exhibited superior performance. These findings underscore the significant potential of 3D-printed AISI 321 in enhancing performance and sustainability in power generation applications, while highlighting the ongoing need for continued research and development to fully exploit the capabilities of additive manufacturing technologies.

Mechanical and thermoelectric response of 18-valence electron half-Heusler tellurides XFeTe (X=Ti, Hf): A theoretical perspective

To address growing global energy needs, half Heusler compounds offer a cost-effective and efficient solution for power generation applications. We present a study on the structural, electronic, magnetic, phonon, mechanical and thermoelectric (TE) properties of two hH tellurides, XFeTe (X= Ti, Hf) with 18 valence electrons. The investigation employs Density functional theory (DFT), Semi-classical Boltzmann transport equations (BTE), Quasi-harmonic approximation (QHA), Density functional perturbation theory (DFPT) and Deformation potential theory (DPT). The equilibrium lattice constants are determined to be 5.882 Å and 6.041 Å for TiFeTe and HfFeTe respectively. The electronic structures of TiFeTe and HfFeTe are modeled with generalised gradient approximation (GGA), revealing indirect band gaps of 0.93 eV and 0.79 eV, respectively. The conduction bands in TiFeTe and HfFeTe exhibit remarkably low effective masses of 0.72 me and 0.61 me, respectively, resulting in higher carrier relaxation times. The compounds are dynamically and mechanically stable. TiFeTe is ductile whereas HfFeTe is brittle. The elastic constants analysis suggests that these compounds exhibit stiffness, better hardness, elastic anisotropy and high melting point. TE parameters are investigated across a temperature range from 400 K to 1200 K. At room temperature, TiFeTe and HfFeTe exhibit lattice thermal conductivities of 25.43 Wm−1K−1 and 29.29 Wm−1K−1, respectively. At 1200 K, zT for the n-type, p-type compositions are 1.79, 1.11 for TiFeTe and 1.35, 1.06 for HfFeTe, respectively. The n-type composition not only exhibits superior TE performance compared to the p-type but also shows the peak zT at more feasible doping levels.

Realizing high conversion efficiency in all-ZrCoSb-based half-Heusler thermoelectric power generators

ZrCoSb-based thermoelectric materials exhibit promising potential for power generation applications due to their high performance in both p- and n-type constituents. In this work, a newly developed all-ZrCoSb-based module achieves a maximum conversion efficiency of ∼9.3 % at a temperature difference of 668 K. This high conversion efficiency is enabled by the enhanced average thermoelectric properties for both types of ZrCoSb-based materials via Bi alloying and Sn/Ni doping. The hole and electron carrier concentrations were tuned to match the theoretically predicted optimized values, contributing to high weight mobility and power factor. Additionally, the increased mass and strain field fluctuations enhance point defect scattering, leading to a significant reduction in the lattice thermal conductivity of ZrCoSb. Consequently, peak zT values of ∼1.2 and ∼1.0 at 973 K were respectively obtained in p-type ZrCo(Sb0.5Bi0.5)0.85Sn0.15 and n-type ZrCo0.85Ni0.15Sb0.5Bi0.5, resulting in high average zT values of ∼0.75 and ∼0.51 in the temperature of 300 to 973 K. This work underscores the significant potential of all-ZrCoSb-based half-Heuslers in waste heat recovery.

A comprehensive study on texture evolution and recrystallisation behaviour of Fe‐50Co alloy

AbstractThe Fe‐Co alloy, a soft magnetic alloy with high saturation magnetic induction strength and Curie temperature, is widely used in high‐performance power generation applications such as airborne radars and electromagnets. In order to improve the magnetic properties, different annealing treatment was employed to tailor the texture of Fe‐50Co alloy. The present work investigated the evolution mechanism of microstructure, texture and magnetic properties of the Fe‐50Co alloy during cold rolling and annealing treatment. The results showed that with increasing reduction ratio, the cold rolling texture primarily consisted of γ and α textures. After annealing, the dominant texture of the alloy transformed into {411}<148> and {111}<112> textures. The increase of annealing temperature weakened the {111}<110> texture while facilitating the development of new, diffuse, and randomly oriented grains. The grain size increased to 40 μm after annealing at 900°C. The alloy exhibited excellent magnetic properties after annealing at 900°C followed by furnace cooling to 750°C with a cooling rate of 50°C/h and then to 300°C with a cooling rate of 180°C/h; the B5000 was ∼2.3 T and P1.5/400 was ∼59 W/kg. A novel route to develop Fe‐50Co alloys with excellent magnetic properties was provided.

Detonation structure in the presence of mixture stratification using reaction-resolved simulations

Many investigations of detonation-based combustors have identified reactant mixture inhomogeneity as having a leading-order impact on wave dynamics and combustion efficiency. To examine this phenomenon in a simplified context, an array of two- and three-dimensional channel detonation simulations are conducted in the present work. The reactant mixture consists of stratified fuel and air, wherein the randomly distributed equivalence ratio field features a characteristic stratification length scale. Detailed chemical kinetics are implemented in an adaptive mesh refinement solution framework where the region near the shock front is resolved with O(100) cells per representative ZND induction length. The results show that in comparison to baseline cases with uniform reactant mixtures, reactant stratification has a marked impact on the detonation structure. Increasing the stratification length scale increases the size and irregularity of the detonation cells, yielding larger variations in wave speed. Triple point collisions in fuel-rich regions lead to local wave speeds above the notional mean CJ speed, but wave passage through inert regions causes the local wave speed and strength to diminish. Conditional statistics show that increasing the stratification length scale increases the variance in pressure and temperature in the primary reaction zone, as well as the variance in heat release over a range of mixture conditions. In addition to the reactant mixture, the impact of the boundary condition behind the detonation is also investigated. The results show that an inflow boundary condition acts to over-drive the wave, leading to higher peak pressures, smaller detonation cells, and increased reactant consumption. On the other hand, cases with a wall behind the wave exhibit weaker waves with lower peak pressures and heat release rates, as well as greater variance in conditional quantities. Comparisons between complementary two- and three-dimensional simulations show reasonable qualitative agreement in wave structure, speed, and conditional statistics.Novelty and significance statement: The present work considers two- and three-dimensional simulations of detonations propagating through stratified reactant mixtures using detailed chemical kinetics with O(100) cells per representative ZND induction length. To the authors’ knowledge, it is the first study to analyze this type of configuration at this resolution and detail, as well as the first to compare two- and three-dimensional simulations of this configuration. The results have implications for the detonation wave behavior observed in practical propulsion and power-generating applications, such as rotating detonation engines.

Understanding the effect of bondcoat surface treatment on enhanced lifetime of suspension plasma sprayed thermal barrier coatings

Thermal barrier coatings (TBCs) are extensively used in gas turbine engines in power generation and aerospace applications. Improvements in TBC performance and lifetime are continuously pursued by the gas turbine industry. Suspension plasma spraying (SPS) has shown promising results in recent years as it could produce a porous columnar TBC microstructure exhibiting low thermal conductivity and high durability. Further improvements in lifetime and fundamental understanding of failure mechanisms would lead to their wider application.Lifetime of a TBC system is dependent not only on the topcoat microstructure and chemistry, but also on topcoat-bondcoat interface and bondcoat characteristics as they influence the growth rate of thermally grown oxide (TGO) layer as well as the mismatch stresses generated in the topcoat during operation. Moreover, in SPS TBCs, the column density and porosity in the topcoat are also affected by the bondcoat surface roughness which in turn affects TBC lifetime. In previous work, it was shown that bondcoat surface treatment by shot peening followed by light grit blasting can significantly enhance the cyclic lifetime of SPS TBCs.The objective of this work was to gain further insight into the lifetime improvements due to surface treatment of bondcoat. Commercial NiCoCrAlY powder was deposited by high velocity air fuel (HVAF) and high velocity oxy fuel (HVOF) spraying while SPS was used to deposit yttria stabilised zirconia topcoat. Before spraying the topcoat, the bondcoat samples were subjected to vacuum heat treatment, shot peening, and/or grit blasting. Residual stress measurements were performed by X-ray diffraction on samples with different variants of bondcoat treatments and compared with Almen strip tests. The lifetime was examined by thermal cyclic fatigue testing. The relationships between changes in bondcoat surface roughness, residual stress state and microstructure due to surface treatments, and resultant topcoat microstructure and lifetime were studied and discussed.

Emerging pathways in thermoelectric: Chemical bath deposition of magnesium selenide thin films for sustainable energy harvesting

In this study, magnesium Selenide (MgSe) thin films were synthesized on glass substrate using the chemical bath deposition (CBD) method for thermoelectric power generation. After cleaning of glass substrate, selenium powder was dissolved in nitric acid to produce SeO2 and magnesium chloride was then introduced as the source of magnesium. Both SeO2 and MgCl2 were dissolved in 100 ml of dI water and later, these solutions were unified gradually. After that, the cleaned glass substrates were placed in the solution, while keeping the reaction temperature constant at 50o C for the deposition durations of 24, 48, 72, and 96 h. A number of characterization techniques, namely X-ray Diffraction (XRD), Raman spectroscopy and Scanning Electron Microscopy (SEM) were performed for structural and surface analysis of grown thin films. The effect of deposition time duration on the thermoelectric properties was investigated in depth using the Seebeck and Hall systems. It was found that the values of the Seebeck coefficient and power factor obey the increasing trend with maximum values 196.93 μV/K and 21.5 × 10−8 W/mK2 respectively. These observed values are seems to be the highest values for magnesium selenide thin film ever reported in the literature according to the best of our knowledge. Therefore, we have concluded that MgSe thin films supposed to be emerging material for thermoelectric power generation applications.