Increase In Output Power Research Articles

Investigating the Power Extraction of Applying Hybrid Pitching Motion on a Wing with Leading and Trailing Flaps

This research utilized a hybrid trajectory on a wing incorporating a dual flap with the goal of enhancing performance. The hybrid profiles initiate with a non-sinusoidal pattern during the interval 0.0 ≤ t/T ≤ 0.25, evolving toward a sinusoidal pattern within the range 0.25 < t/T ≤ 0.5. Similarly, the hybrid motion follows a non-sinusoidal pattern in the range 0.5 < t/T ≤ 0.75, before shifting back to a sinusoidal pattern within the range 0.75 < t/T ≤ 1.0. The effectiveness of using a hybrid trajectory on a wing with leading and trailing flaps in enhancing the energy harvesting performance is examined through numerical simulations. The results demonstrate that hybrid trajectories applied to a two-flap wing configuration outperform a single flat plate and a wing with leading and trailing flaps both operating under a sinusoidal trajectory. The wing length spans from 45% to 55%, with the leading flap length ranging from 25% to 35%. The trailing flap lengths adjust accordingly to ensure the combined total matches the flat plate’s full length, which is 100%. The wing pitch angle was fixed at 85° while the leading flap’s pitch angle varied between 40° and 55° and the pitch angle of the trailing flap ranged from 0° to 20°. The findings reveal that utilizing hybrid motion on a wing fitted with leading and trailing flaps notably improves power output in comparison to configurations with either one plate or three plates. The power output is achieved at particular dimensions: a leading flap length of 30%, a wing length of 55%, and a trailing flap length of 15%. The corresponding pitch angles are 50° for the leading flap, 85° for the wing, and 10° for the trailing flap. The aforementioned configuration results in a 34.06% increase in output power in comparison to one plate. The maximum efficiency for this setup reaches 44.21%. This underscores the superior performance of hybrid trajectories over sinusoidal trajectories in enhancing energy extraction performance.

Study the Effect of Exhaust Manifold Diameter on the Output Performance of a Four-Cylinder Spark Ignition Engine

As modern engine technology has evolved, optimizing engine performance has become a key research focus for the industry in the face of increasingly stringent environmental regulations and growing demand for energy efficiency. The diameter of the exhaust manifold plays a key role in determining engine performance. This study utilized GT-POWER software to develop an engine simulation model aimed at investigating the effects of different exhaust manifold diameters on engine power, torque, and fuel consumption. The results demonstrated that increasing the exhaust manifold diameter within a specified range significantly reduced fuel consumption at lower speeds, with minimal impact on power and torque. However, at moderate to high speeds, enlarging the exhaust manifold diameter led to a significant increase in power output, an increase in peak torque, and a decrease in fuel consumption, resulting in the shift of peak torque and minimum fuel consumption to higher speeds. These findings provide valuable insights for optimizing engine exhaust manifold design.

Hydraulic Resistance Device for Force, Power, and Force–Velocity–Power Profile Assessment During Resisted Sprints with Different Overloads

This study aimed to evaluate the ability of a hydraulic resistance device (HRD) to assess the force and power output and force–velocity–power profile of short sprints, while examining the effects of hydraulic overload on these outcomes. Twenty-eight amateur athletes performed 20 m sprints under minimal (MiL), moderate (MoL), and high (HiL) overloads. Sprint velocity was measured with the HRD, while resistance force (Fr) was assessed from the pressure via the HRD and from the reaction force via the force plate (FP). Using velocity and Fr during the sprints, maximal velocity (vmax), average horizontal force (Favg), average power (Pavg), and FvP profile variables (F0, v0, and Pmax) were calculated. A two-way ANOVA analysed the effects of overload and calculation method. In addition, a correlation between the HRD and FP measurements was evaluated. For all variables, very high to excellent correlation between the HRD and FP was observed (r ≥ 0.96). However, the Favg, Pavg, F0, and Pmax calculated by the HRD were lower than the FP across all overloads (η2 ≥ 0.51; p < 0.001). Regardless of the method used, Favg, Pavg, and F0 were highest at HiL (η2 ≥ 0.38; p < 0.001), and v0 was highest at MiL (η2 = 0.35; p < 0.001), whereas overload had no significant effect on Pmax (η2 = 0.01; p = 0.770). The HRD is a feasible means for monitoring force and power output during hydraulic resisted sprints but should not be directly compared to other resistance devices. HiL produced the highest Favg, Pavg, and F0 and may be optimal for increasing power output and improving acceleration performance.

Boosting the Mechanical Stability and Power Output of Intrinsically Stretchable Organic Photovoltaics with Stretchable Electron Transporting Layer

AbstractIntrinsically stretchable organic photovoltaics (IS‐OPVs) are emerging as power sources for wearable technologies, enabling seamless integration into flexible and stretchable systems. A key feature of IS‐OPVs is the potential for increased power output as the photoactive area expands during stretching. However, current mechanical performance and stability still fall short of meeting the demands for practical applications. To overcome this limitation, the study introduces, for the first time, a polymer:gel blend system as a highly stretchable electron transporting layer (ETL), which significantly enhances both the power output and mechanical stability of IS‐OPVs. This novel ETL plays a pivotal role in dissipating mechanical stress and protecting the brittle underlying layers. By incorporating this stretchable ETL, the device stretchability is reinforced by introducing the stretchable ETL, thereby maintaining the initial power conversion efficiency under 20% strain. As a result, the maximum power output substantially increases by 23%, from 0.28 to 0.35 mW, under large strain, while devices with conventionally brittle ETLs caused a 33% reduction in power output. This study thus offers a pathway toward durable and efficient stretchable photovoltaics.

Linear Modelling of the V̇O2/PO-Relationship during Constant Work Rate Exercise.

The linear and continuous increase in power output (PO) during ramp incremental (RI) exercise causes a distinct V̇O2/PO relationship compared to constant work rate (CWR) exercise. Current methods enabling a translation of ramp-derived PO to CWR PO assume a linear development of the CWR V̇O2/PO relationship in the heavy-intensity domain. This study aimed to model the RI versus CWR V̇O2/PO relationship to investigate whether the loss of mechanical efficiency above GET develops linearly. A second aim was to assess the reliability of ramp-derived parameters incorporated in translation strategies. Fourteen healthy young participants (7 males; 7 females) performed a RI test and several CWR tests across the heavy- and severe-intensity domains in order to model the RI and CWR V̇O2/PO relationships. The CWR relationship was fitted using linear, polynomial and exponential models. Root mean square error (RMSE) and Akaike information criterion (AICC) were determined to evaluate the model's goodness-of-fit. For reliability purposes, target PO of CWR tests were achieved using a preceding RI portion, similar to the initial RI test. The linear fit of the CWR V̇O2/PO relationship was associated with the lowest RMSE and AICC. The associated R2 for the heavy-intensity domain was 0.94. Reliability measures were excellent for baseline V̇O2 and acceptable to good for s1-ramp and s2- ramp. For MRT, a high variability was observed. This study confirmed that the CWR V̇O2/PO relationship in the heavy-intensity domain is linear. Based on these results, it is justified to apply correction strategies that mind the different dynamics of V̇O2 during RI versus CWR exercise.

Innovative Approaches of Optimization Methods Used in Geothermal Power Plants: Artificial Neural Networks and Genetic Algorithms

In this study, a general description of geothermal power plants is provided, and the optimization methods used are summarized. Following the review of these optimization methods, the advantages of heuristic methods and the success of the developed models are demonstrated. The challenges in optimizing geothermal systems, including the limitations due to their complexity and the use of multiple parameters, are discussed. Heuristic methods, particularly the widely used artificial neural networks and genetic algorithms, are explained in general terms. Recent studies highlight that the combined use of artificial neural networks and genetic algorithms can produce faster and more consistent results. This demonstrates the benefits of using advanced methods for geothermal resource utilization and power plant optimization. An innovative optimization method has been developed using the operational data of an ORC geothermal power plant in the city of Izmir. The computational method, using genetic algorithms with artificial neural networks as the fitness function, has identified the optimal operating conditions, achieving a 39.41% increase in net power output. The plant’s gross power generation has increased from 4943 kW to 6624 kW.

Techno-Economic Analysis of Waste Heat Recovery in Automotive Manufacturing Plants

This study proposes an innovative system for recovering waste heat from exhaust air after a regenerative thermal oxidiser process, integrating a Carnot battery and photovoltaic (PV) modules. The Carnot battery incorporates an organic Rankine cycle (ORC) with a recuperator, thermal energy storage (TES), and heat pump. Waste heat is initially captured in TES, with additional energy extracted by a heat pump to increase the temperature of a secondary fluid, effectively charging TES from both direct and indirect sources. The stored heat enables electricity generation via ORC. The result of this study shows a heat pump COP between 2.55 and 2.87, the efficiency of ORC ranging from 0.125 to 0.155, and the power-to-power of the Carnot battery between 0.36 and 0.40. Moreover, PV generates 1.35 GWh annually, primarily powering the heat pump and ORC system pump. The proposed system shows a total annual net generation of 4.30 GWh. Economic evaluation across four configurations demonstrates favourable outcomes, with a return on investment between 25% and 160%. The economic evaluation examined configurations with and without the PV system and recuperation process in the ORC. Results indicate that incorporating the PV system and recuperator significantly increases power output, offering a highly viable and sustainable energy solution.

Design, Implementation, and Analysis for Reducing Energy Losses in Solar Inverters through the Use of SiC MOSFETs

The integration of Silicon Carbide (SiC) Metal-Oxide-Semiconductor Field-Effect Transistors (MOSFETs) in solar inverters has emerged as a promising solution for enhancing energy conversion efficiency. This study presents the design and performance analysis of a high-efficiency solar inverter utilizing SiC MOSFETs, targeting increased power output and improved reliability in photovoltaic (PV) systems. The proposed inverter design focuses on reducing switching losses, minimizing heat dissipation, and achieving higher switching frequencies compared to traditional silicon-based devices. The adoption of SiC technology enables reduced conduction and switching losses due to its superior thermal properties and high breakdown voltage, making it ideal for solar inverter applications. Simulation results demonstrate significant improvements in efficiency—exceeding 98%—under varying load conditions. Additionally, the inverter’s performance was evaluated in terms of total harmonic distortion (THD), with values well within acceptable limits, ensuring clean and stable power output. The thermal management capabilities of SiC MOSFETs are also highlighted, showing reduced heat sink requirements and longer operational lifetimes. This research further explores the practical implementation challenges, such as gate driver considerations and EMI suppression, to optimize inverter design for real-world scenarios. The findings suggest that utilizing SiC MOSFETs in solar inverters not only enhances energy efficiency but also contributes to system compactness, potentially reducing the overall cost of PV installations. The study concludes with recommendations for future developments in SiC-based power electronics for renewable energy applications.

Investigation of Combine Cycle Power Plants with Low-Grade Heat Utilization Working Methane-Hydrogen Mixtures

The Russian energy sector remains heavily reliant on thermal power plants, with gas generation accounting for approximately 66% of the installed capacity. However, the industry faces challenges such as depletion of reserves, rising prices for hydrocarbons, and increasing concentrations of carbon dioxide in the atmosphere. This study focuses on developing new scientific and technical solutions to increase the efficiency and environmental safety of combined cycle power units. The research involves structural and parametric optimization of trinary cycle power plants operating on a methane-hydrogen mixture, as well as the development and optimization of turbine and heat exchange equipment for low-temperature power plants. The results show that the transition to trinary CCGT (Combine Cycle Gas Turbine) units with deep utilization and the use of hydrogen fuel can significantly reduce specific CO2 emissions and increase energy efficiency up to 0.21% with also increases in capacity of turbine of approximately 17 MW. The aim of this research is to calculate the efficiency, cost effectiveness and environmental-friendly solution for power generation using mixture of hydrogen- methane as fuel in combine cycle power plant that includes ORC. Additionally, the efficiency of the organic Rankine Cycle (ORC) benefits from the increased moisture, with capacity improvements of 1-2 MW observed when the hydrogen proportion rises from 25% to 50%. Moreover, the potential for zero emissions, coupled with significant increases in power output and efficiency, underscores hydrogen's role as a pivotal component in the future of energy production.

Influence of the AlN-sapphire template on the optical polarization and efficiency of AlGaN-based far-UVC micro LED arrays

Abstract Arrays of far-UVC micro LEDs based on AlGaN and emitting at 233-235 nm have been fabricated on different types of AlN-sapphire templates and the optical polarization, output power, and efficiencies have been studied in dependence of the template technology and the mesa diameter of the micro-pixels. While LEDs fabricated on MOVPE AlN-sapphire templates show dominant TM polarized emission with a degree of polarization of −0.2, LEDs on high temperature annealed AlN-sapphire templates show dominant TE polarized emission with a degree of polarization of 0.2–0.3. The output power and external quantum efficiency increases with decreasing diameter of the slanted and reflective micro LED mesa. Peak output powers of 18 mW at 200 mA and peak external quantum efficiencies of up to 2.7 % for mesa diameters of 1.5 µm on annealed templates were measured, corresponding to peak wall plug efficiencies of 1.7 %, while conventional LEDs with large mesa areas on the same template showed maximum EQEs of 1.1 %. The relative increase in output power by using the micro LED approach as compared to a conventional large area emitter is stronger for LEDs on MOVPE AlN templates than on annealed templates (about a factor of 3.7 vs. 2.3, respectively, at 50 mA) which is attributed to the polarization dependence of the light extraction.

Effect of fracture parameters on the thermal recovery performance of enhanced geothermal system

ABSTRACT Enhanced geothermal system (EGS) is an effective method for extracting thermal energy from Hot Dry Rock (HDR) reservoirs. Fracture characterization determines the pathways for fluid flow and the mechanisms of heat transfer, both of which exert a substantial influence on the thermal recovery performance of EGS. This study develops a two-dimensional discrete fracture thermal-hydraulic (TH) coupled numerical model to investigate the influence laws of fracture characteristic parameters on the thermal recovery performance of EGS. The reliability of the numerical model is verified by comparison with the analytical method. Moreover, the Morris method is employed to evaluate the extent to which various system parameters affect the output temperature of EGS. The findings indicate that when the fracture opening expands from 0.5 mm to 3 mm, the output temperature decreases from 120.75°C to 94°C, while electrical output power increases; When the fracture permeability increases from 1 × 10−9 m2 to 4 × 10−9 m2, the output temperature drops by 30.7%, but the electrical output power increases by 0.98 MW. That is, with higher fracture opening and permeability, the fluid will flow inside the fracture with higher velocity, leading to a reduction in the output temperature of EGS and an increase in electrical output power; Injection temperature holds the greatest influence on the system, while the system’s output temperature demonstrates insensitivity to the variation of rock permeability.

A Novel 10 MW Floating Wind Turbine Platform—SparFloat: Conceptual Design and Dynamic Response Analysis

New conceptual designs for floating offshore wind platforms (FOWPs) are crucial for deep-sea wind power generation, increasing power output, lowering construction costs, and minimizing the risk of damage. While there have been various conceptual designs, tailored solutions for the South China Sea are limited due to the relatively harsh environment. This study proposes a novel 10 MW FOWP—“SparFloat”, which combines the advantages of a semi-submersible platform and Spar platform to cater for the sea conditions of the South China Sea. By systematically adjusting the distance between columns and the diameters of the side column and heave plate, the impact of geometrical changes in the platform on its dynamic response is investigated for the purpose of design optimization. The results highlight that roll/pitch natural periods are predominantly governed by restoring stiffness, whereas heave motion exhibits a higher sensitivity to added mass and radiation damping. Increasing the inter-column distance and side column diameter enhances stability and reduces roll/pitch natural periods, while enlarging the heave plate diameter extends the heave natural period. Time-domain simulations using a coupled FAST-AQWA framework confirm that the optimized design meets rule requirements, verifying the robustness and suitability of the SparFloat concept for the challenging environment of the South China Sea.

Experimental and analytical study of light uniformity in the double-incidence powersphere based on ellipsoidal reflection within a cavity

The powersphere is an enclosed spherical photovoltaic receiver designed to achieve light uniformity through multiple reflections. However, in practical applications, the high absorption rate of the laser cells causes a significant difference in irradiance between direct and reflected light, preventing optimal light uniformity. This results in power loss and reduces both the conversion efficiency and output power in laser wireless power transmission. To address this, we propose a method that uses dual laser incidence and employs an ellipsoid for light reflection within the powersphere. A mathematical model of the powersphere, based on elliptical reflections inside the cavity, was developed and theoretically validated. Using this model, this study designed a system with symmetrical laser incidence from both ends of the powersphere and elliptical reflection within its cavity. Simulation analysis demonstrated improved light uniformity and intensity on the inner surface. An experimental platform based on dual-beam incidence and ellipsoid reflection was constructed, with results showing improved voltage uniformity from 0.09 to 0.86, current uniformity from 0.25 to 0.96, and a 26% increase in output power. These theoretical, simulation, and experimental findings confirm that dual-beam incidence and ellipsoid reflection effectively enhance both uniformity and output power in the powersphere.

Design and implementation of a waterless solar panel cleaning system

Manual cleaning of large solar installations is often labor-intensive and time-consuming, primarily due to the accumulation of dust on solar panels, which significantly impairs their efficiency. The study introduces a novel, waterless, cost-effective automatic cleaning system for small solar panels. The rationale behind this innovation stems from the necessity to mitigate efficiency losses caused by dirt and contaminants on solar surfaces. The automated system employs an Arduino microcontroller enhanced with a real-time clock to optimize cleaning schedules based on environmental conditions. The system consists of a two-stage mechanism which includes an ejector blower that produces a strong air jet, complemented by a flexible brush that effectively removes dust as well as sticky dirt. Cleaning intervals are strategically determined to ensure consistent maintenance without manual intervention, thus maximizing energy output. Tests on a 60 W solar panel revealed an impressive average power output increase of 26.23 % following cleaning. This prototype demonstrates the efficacy of the cleaning approach and underscores its potential to alleviate efficiency losses attributed to dust accumulation. Particularly advantageous in arid regions where water conservation is paramount, this automated system enhances energy production and operational efficiency for solar plant operators, promoting sustainable energy practices.

A Novel Process to Achieve Enhanced Mechanical and Electrical Properties of (Mn,Co)3O4-Based Electrical Contact Layer for Solid Oxide Cells

To reduce ohmic losses and increase power output in an SOFC stack, electrical contact materials have been employed between the interconnect and oxide cathode. One of the possible candidate materials for the electrical contact layer is (Mn, Co)3O4, which is also used as the interconnect coating in an SOFC stack, due largely to its coefficient of thermal expansion that matches with the interconnect and cathode [1, 2]. The (Mn, Co)3O4 is electrically conducting, yet its conductivity remains several orders of magnitude lower than certain perovskite counterparts, such as (La, Sr)CoO3. In addition, (Mn, Co)3O4 often requires high sintering temperature (≥ 1000°C) when the oxide powders are used as starting materials [1, 3]. There is a need to develop novel processes to reduce the sintering temperature of (Mn, Co)3O4 to about 850°C, at which the sealing glass is sintered. In this work, we employ a new approach to fabricate (Mn, Co)3O4 spinels as the electrical contact materials. This innovation significantly enhanced the conductance of the contact layer and its bonding strength. The bonding strength with interconnect is evaluated by evaluating the maximum shear stress when the spinel layer is sandwiched by two 430 stainless steel coupons. Electrical resistance is measured for the contact layer with different Mn-Co ratios.

Exploring Ion Transmission Mechanisms in Clay-Based 2D Nanofluidics for Osmotic Energy Conversion.

Clay-based 2D nanofluidics present a promising avenue for osmotic energy harvesting due to their low cost and straightforward large-scale preparation. However, a comprehensive understanding of ion transport mechanisms, and horizontal and vertical transmission, remains incomplete. By employing a multiscale approach in combination of first-principles calculations and molecular dynamics simulations, the issue of how transmission directions impact on the clay-based 2D nanofluidics on osmotic energy conversion is addressed. It is indicated that the selective and rapid hopping transport of cations in clay-based 2D nanofluidics is facilitated by the electrostatic field within charged nanochannels. Furthermore, horizontally transported nanofluidics exhibited stronger ion fluxes, higher ion transport efficiencies, and lower transmembrane energy barriers compared to vertically transported ones. Therefore, adjusting the ion transport pathways between artificial seawater and river water resulted in an increase in osmotic power output from 2.8 to 5.3Wm-2, surpassing the commercial benchmark (5Wm-2). This work enhanced the understanding of ion transport pathways in clay-based 2D nanofluidics, advancing the practical applications of osmotic energy harvesting.

Impact of freestream turbulence integral length scale on wind farm flows and power generation

The impact of freestream turbulence integral length scale on wind farm flow and power production is investigated by conducting Large Eddy Simulations on wind farms with two spacings, Sx=8R and Sx=12R (turbine radius R). The integral length scale of inflow turbulence Lu is varied, Lu∈[3.2R,12.0R], while maintaining identical turbulence intensity and velocity. Shorter integral length scales lead to a faster near wake breakdown and improved wake recovery in the wake of the first turbine, causing substantial increases in the second turbine power output; 42% and 18% for the two spacings. Over the first four turbines, total power output increases by 8.6% and 6.0% respectively. Spectra, cross-correlations and entrainment scales are also examined and show that the first turbine breaks down inflow scales and wake-generated turbulence dominates the inflow to the second turbine. Further into the turbine row, dominant flow structures and entrainment scales are associated with both wake turbulence and larger wind farm-generated structures matching the turbine spacing. These results show that the freestream turbulence integral length scale has a significant impact on wind farm flows and power generation, mainly by impacting the development of wakes in the farm entrance.

AI-Enhanced Generative Design for Efficient Heat Exchangers in Thermoelectric Generators: Revolutionizing Waste Heat Recovery in Thermoelectricity

Thermoelectric generators (TEGs) offer the potential for converting waste heat into electricity, but their efficiency, particularly at low temperatures, remains inadequate. Plate-Fin Heat Exchangers (PFHEs) in TEG systems are not fully optimized, resulting in limited efficiency and applicability. The low conversion efficiency of TEGs means only a small fraction of waste heat is utilized, posing challenges to their long-term viability. While Genetic Algorithms (GAs) have shown promise in optimizing heat exchanger designs, advanced methods like Non-dominated Sorting Genetic Algorithm II (NSGAII) have yet to be fully applied for PFHE TEG design. This study addresses these challenges by using NSGA-II, combined with a semi-empirical model, to optimize PFHE design in TEG systems. The optimization focuses on refining fin design parameters such as number, width, and height while adhering toconstraints on fin area and pressure drop. The optimized design achieved a 3.94% increase in output power and a 1.72% increase in efficiency at 373.15 K, with conversion efficiency rising by 154.74% and maximum output power by 549.64% at 428.15 K. In conclusion, this research bridges the gap by applying NSGA-II to enhance PFHE design in TEGs, significantly improving performance and sustainability. Future work will explore alternative models and further optimization to achieve even higher efficiencies.

Exploring sustainable fuel alternatives: The role of NH3–H2–H2O2 blends in enhancing HCCI engine performance

This study presents a comprehensive computational analysis of Homogeneous Charge Compression Ignition (HCCI) engines fueled by a carbon-free blend of ammonia (NH3), hydrogen (H2), and hydrogen peroxide (H2O2). The research aims to explore the potential of this blend in enhancing combustion performance and reducing emissions, addressing the critical challenge of environmental sustainability in internal combustion engines. Through the use of detailed kinetic modeling and three-dimensional computational fluid dynamics (CFD), the impacts of various blend compositions on key engine performance was assessed. The kinetic model is validated with the published literature data. The findings indicate that the addition of H2O2 significantly improves autoignition and the combustion duration of an NH3–H2 blend in an HCCI engine is 17° at 515 K. However, with the addition of 40% H2O2, the combustion duration reduces to approximately 16°, even at lower temperatures (395 K). The introduction of 40% H2O2 in the NH3–H2 HCCI engine results in a 12.8% increase in output power and a 22.2% decrease in NOx emissions due to the reduced operating temperature under Maximum Brake Torque (MBT) conditions. With a fuel blend of NH3-0.7, H2-0.2, and H2O2-0.1 at an inlet temperature of 450 K, the combustion duration (CD) is 22°. Increasing hydrogen to 50% and reducing the inlet temperature to about 390 K decreases the CD to 5°. This study demonstrates that the NH3–H2–H2O2 blend holds significant promise as a viable alternative to conventional fuels, potentially contributing to the advancement of zero-carbon emission combustion technologies in future transportation systems.

Design of α–alumina integrated ultrasound transducer for wireless power transmission system

Traditional ultrasound wireless power transmission (UWPT) technology often faces challenges such as low power transmission efficiency and safety concerns. This paper proposes a highly reliable α–alumina integrated ultrasound transducer–based ultrasound wireless power transmission (IUT–UWPT) system designed for metallic medium. The proposed system is capable of powering and communicating with embedded sensors inside metal–sealed tanks. An acoustic wave transmission model for the IUT–UWPT system is developed based on acoustic theory to optimize the thickness of the matching layer and bonding layers between piezoelectric ceramics and metallic medium. The effect of the α–alumina integrated ultrasound transducer on the input–output characteristics of the system is analyzed using the mason equivalent circuit method considering acoustic attenuation and finite element simulation. Experimental results show that, compared to traditional UWPT systems without α–alumina integrated ultrasound transducer, the IUT–UWPT system exhibits a broader frequency response range from 0.8 MHz to 1.2 MHz and achieves a 13.19 % increase in maximum output power. Notably, the insulating properties of the α–alumina integrated ultrasound transducer prevent electrical generation on the surface of the metal–sealed tank. This system is well–suited for health monitoring in storage facilities such as gas pipelines, liquid nitrogen tanks and nuclear waste containers.