Estimated Output Power Research Articles

Bifacial silicon heterojunction solar cells using transparent‐conductive‐oxide‐ and dopant‐free electron‐selective contacts

AbstractThe development of transparent electron‐selective contacts for dopant‐free carrier‐selective crystalline silicon (c‐Si) heterojunction (SHJ) solar cells plays an important role in achieving high short‐circuit current density (JSC) and consequently high photoelectric conversion efficiencies (PCEs). This becomes even more important when focusing on the development of bifacial solar cells. In this study, bifacial SHJ solar cells using a transparent‐conductive‐oxide‐free and dopant‐free electron‐selective passivating contacts are developed, showing a JSC bifaciality of up to 97%. Intrinsic ZnOX layer deposited by atomic layer deposition was used in this structure, which simultaneously provides negligible passivation loss after annealing and enables a low contact resistivity on the electron‐selective contact. With both side finger metal electrodes contact, this bifacial solar cell shows an efficiency of 21.2% under front‐side irradiation and 20.4% under rear‐side irradiation, resulting in an estimated output power density of 24.1 mW/cm2 when considering rear‐side irradiance of 0.15 sun.

Investigation on battery-less voltage of piezoelectric V-shape cantilever beam energy harvester using FEA method for pacemaker

AbstractThis paper presents an investigation on a battery-less voltage of Piezoelectric (PZT) V-shape cantilever beam Energy Harvester (EH) using human body vibration. The frequency ranges are walking (0–5 Hz), running (6–10 Hz) and motions (11–15 Hz) for human movement. Pacemaker devices typically require a lower resonant frequency with higher voltage which is powered by batteries. The battery has a limited duration during its working process and the battery is difficult to replace in the human body. To address the aforementioned issue, a V-shape cantilever beam EH has been developed as a solution to overcome these limitations. The cantilever beam was designed in COMSOL Multiphysics software 5.5 version using the Finite Element Analysis (FEA) method for experimental investigations followed by three categories of frequency ranges of the human body. The simulation results showed that the generated battery-less higher voltage was 269 mV (AC) at the resonant frequency of 14.37 Hz in the motion range of 11–15 Hz. Later, an Ultra Low Power (ULP) electronic circuits will be designed and simulated in the LTSPICE software to convert and boost-up from 269 mV (AC) to DC voltage attained. The estimated output power of the energy harvester system can be powered up (4.7 µW) for modern pacemaker applications.

Development of an SIS Mixer-Based Low-Noise Amplifier Amenable to Josephson Oscillator Pumping

We propose a low-noise and low-power-consumption microwave amplifier using superconductor-insulator-superconductor (SIS) mixers as quasi-particle frequency up- and down-converters pumped by a Josephson array oscillator in the millimeter-wave band. A proof-of-concept study of an amplifier with two W-band waveguide mixers using Nb/Al-AlOx/Nb junctions in a cascade connection demonstrated an average gain of 6 dB and a noise temperature of 12 K from nearly DC to 5 GHz. We also designed and fabricated a Josephson array oscillator at 100 GHz, which consisted of 31 overdamped Josephson junctions placed at each half-wavelength in an Nb microstrip line. The estimated output power of the oscillator was 0.2 μW at 100 GHz, which can be increased by increasing the number of the oscillator junctions. These results suggest that the proposed SIS mixer-based amplifier is suitable for on-chip integrated circuits to be implemented in large-scale multipixel SIS receivers and quantum computers.

A Sustainable Fault Diagnosis Approach for Photovoltaic Systems Based on Stacking-Based Ensemble Learning Methods

In this study, a novel technique for identifying and categorizing flaws in small-scale photovoltaic systems is presented. First, a supervised machine learning (neural network) was developed for the fault detection process based on the estimated output power. Second, an extra tree supervised algorithm was used for extracting important features from a current-voltage (I–V) curve. Third, a multi-stacking-based ensemble learning algorithm was developed to effectively classify faults in solar panels. In this work, single faults and multiple faults are investigated. The benefit of the stacking strategy is that it can combine the strengths of several machine learning-based algorithms that are known to deliver good results on classification tasks, producing results that are more precise and efficient than those produced by a single algorithm. The approach was tested using an experimental dataset and the findings show that it could accurately diagnose faults (a detection rate of around 98.56% and a classification rate of around 96.21%). A comparison study with different ensemble learning algorithms (AdaBoost, CatBoost, and XGBoost) was conducted to evaluate the effectiveness of the suggested method.

Power Flow Optimization by Integrating Novel Metaheuristic Algorithms and Adopting Renewables to Improve Power System Operation

The present study merges the teaching and learning algorithm (TLBO) and turbulent flow of water optimization (TFWO) to propose the hybrid TLTFWO. The main purpose is to provide optimal power flow (OPF) of the power network. To this end, the paper also incorporated photovoltaics (PV) and wind turbine (WT) generating units. The estimated output power of PVs/WTs and voltage magnitudes of PV/WT buses are included, respectively, as dependent and control (decision) variables in the mathematical expression of OPF. Real-time wind speed and irradiance measurements help estimate and predict the power generation by WT/PV units. An IEEE 30-bus system is also used to verify the accuracy and validity of the suggested OPF and the hybrid TLTFWO method. Moreover, a comparison is made between the suggested approach and the competing algorithms in solving the OPF problem to demonstrate the capability of the TLTFWO from robustness and efficiency perspectives.

Battery Supported Solar Water Pumping System With Adaptive Feed-Forward Current Estimation

This work presents an adaptive feed-forward current fed battery-supported solar water pumping system using a synchronous reluctance motor (SYRM). It incorporates the impact of cross saturation in real time with the position sensorless vector control technique of SYRM. Moreover, a continuous estimation of direct axis inductance ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">L_d</i> ) is incorporated to ensure saturation in SYRM. The burden of the DC link voltage PI controller is relieved by the feed-forward term of an adaptive battery current, which is calculated from the photovoltaic (PV) array power, estimated output power and the estimated motor efficiency. A DC-DC boost converter is used for maximum power point tracking (MPPT) of the solar photovoltaic array. A voltage source inverter is employed to control the SYRM-pump drive, and to charge/discharge the battery, a bidirectional DC-DC converter is used. The system provides a cost-effective solution for an uninterruptable and rated discharge of the water supply. The solar PV array behaves as a primary energy source, whereas battery is used as a backup source and is charged by PV array when pump operation is suspended or operating at a lower rating. The satisfactory performance of developed system is verified through experimental results taken on the developed laboratory prototype.

Analyzing and Mitigating the Impacts of Integrating Fast-Charging Stations on the Power Quality in Electric Power Distribution Systems

The research presented in this paper focuses on the impacts of fast-charging stations on three power quality phenomena, namely voltage magnitude variations, voltage unbalance, and voltage fluctuation. The Markov Chain Monte Carlo is proposed to estimate the energy requirements of each fast-charging station when it is utilized to charge electric vehicles, considering their sto-chastic parameters such as battery capacities, state-of-charge levels at time of arrivals, and time of arrivals at charging stations. Two charging methods are implemented in this work: charging with an estimated output power and charging with an actual output power. The results reveal that the impact of fast-charging stations on voltage fluctuation by either of these charging methods can lead to light flickers. When the estimated output power is utilized, the light flicker is higher compared to when the actual output power is utilized; the proposed mitigation method is to integrate distribution static compensators, which can effectively eliminate the light flickers, whether the output power of the fast-charging station is estimated or actual. Not only will the system’s power quality be improved by installing distribution static compensators, but also the electricity consumers will not be annoyed by the light flicker, even when the rated power of the fast-charging stations is increased; this can positively lead to a reduction in charging time and an increase in customer satisfaction with electric vehicles, lending them to be more widely adopted.

Inequalities in photovoltaics modules reliability: From packaging to PV installation site

In recent years, the determination of the reliability of photovoltaic (PV) modules has been of ubiquitous interest to the PV industry. Therefore, this work reports on the reliability and degradation mechanism of 186 PV modules from packaging to installation stage. The paper shows that no cracks or hotspots affecting the PV modules before the packaging stage, while a minor reduction in the output power was observed at ±0.3%. The same PV modules were delivered using standard practice, and no further precautions were considered. Electroluminescent (EL) images of all PV modules were taken at the PV installation site, and it was discovered that 2.2% evolved cracks. Depending on the crack size, the estimated output power losses under standard test conditions varied from 0.53% to 1.43%. Furthermore, the PV modules were thermally inspected six months after being installed. It was found that hotspots developed in all the cracked PV modules, and their temperature increased from 10 °C to 20 °C. In addition, a potential induced degradation (PID) test was performed on the cracked PV modules and compared with a crack-free module. It was found that PID affected the modules with cracks more than the crack-free module.

Application of the detailed balance model to thermoradiative cells based on a p-type two-dimensional indium selenide semiconductor

Thermoradiative (TR) cells are energy conversion devices that convert low-temperature waste heat to electricity. TR cells work on the same principles as photovoltaics, but they produce a reverse bias voltage due to higher cell temperature than the environment temperature. Depending on the energy gap of the material, temperature difference would generate electrical energy by electron-hole pair recombination. In this work, we propose a two-dimensional (2D) InSe for applications in the TR cells. The electronic properties of 2D InSe are obtained by using first-principles calculations. Then, the calculated energy gap is used to estimate output power density and efficiency according to the Shockley-Queisser framework through a detailed balance model adapted with the TR cells. Using a heat source at = 1000 K and the ambient temperature = 300 K, an ideal TR cell of 2D InSe at the maximum power point can achieve output power density and efficiency up to 0.061 W/m2 and 4.41%, respectively, with an energy gap of 1.43 eV. However, sub-bandgap and non-radiative losses will degenerate the cell's performance significantly.

Monte Carlo evaluation of GaN THz Gunn diodes

The performances of GaN-based Gunn diodes have been studied extensively for more than two decades, however, the diverging electron drift velocity characteristics employed in these studies merit a review of the potential of GaN Gunn diodes as THz sources. A self-consistent analytical-band Monte Carlo (MC) model capable of reproducing the electron drift velocity characteristics of GaN predicted theoretically by the first-principles full band MC model is used in this work to evaluate systematically the performance of GaN Gunn diodes in transit time mode. The optimal fundamental frequency of a sustainable current oscillation under a DC bias is determined as a function of the length of its transit region. The MC model predicts a GaN Gunn diode with a transit length of 500 nm capable of operating at frequencies up to 625 GHz with an estimated output power of 3.0 W. An MC model takes into account the effect of defects in order to replicate the much lower electron drift velocity characteristics derived from experimental work and predicts THz signal generation of 2.5 W at highest sustainable operating frequency of 326 GHz in a Gunn diode with a transit length of 700 nm.

Design Analysis of 7.5KW Stand Alone Solar Photovoltaic Power System for an Intermediate Household

Aim: Design Analysis of 7.5KW Stand-alone Solar Photovoltaic Power System for an Intermediate Household.&#x0D; Methodology: A design analysis of standalone 7.5KW PV system was carried out using PV modeling equations based on load estimated. The analyzed data of the solar photovoltaic components was used to determine the estimated output power of 7.5KW. Therefore, a number of modeling equations and methodologies for designing a PV system based on application have been developed and simplified in order to ensure the optimum performance of the system. The analyzed solar powered 7.5KW system was achieved by designing 24 solar panels of 335W each, 16 deep cycle battery of 200A each, and a pulse width modulation (PWM) charge controller of 60A to monitor the output of the battery for safety operation. The battery will be connected to the inverter circuit (DC-AC) to generate 220V alternating current in its output via a step-up transformer. In this paper, design analysis of a standalone PV system enables of producing power to a household with approximate consumption of 7.5KW was conducted. &#x0D; Results: The standalone PV system along with the cost implications was analysed and designed. In this analysis a sequential design plan of an independent standalone solar powered photovoltaic structure was analysed and overviewed to supply continuous and uninterrupted power to a typical utility with maximum power consumption of 7500W (7.5KVA). The calculated/computed values of all the components yield a result that can serve the purpose. Based on the design analysis, the result implies that the estimate consumption of 7.5KW in a day requires 24 PV panels of 335 Watts each, 16 (12V, 200Ah) batteries, 10KW inverter, (12V, 60A) charge controller and copper wire of cross-sectional area (1.688mm2) for installation. &#x0D; Conclusion: In Nigeria, to generate a solar power of 7.5KVA requires almost $15,585.70 which is equivalent to N 5,965,426.66.

Dopant‐Free Bifacial Silicon Solar Cells

Herein, challenges in the fabrication of full dopant‐free bifacial silicon solar cells are discussed and efficient devices utilizing a MoO3/ indium tin oxide (ITO)/Ag hole‐selective contact and ZnO/LiFx/Al electron‐selective contacts with up to 79% short‐circuit current bifaciality are demonstrated. The ZnO/LiFx/Al rear electron contact features a full‐area ZnO antireflective coating and a LiFx/Al finger contact, allowing sunlight absorption from the back side, thus producing more overall power. The ZnO/LiFx/Al electron contacts with a thinner ZnO layer and a larger contact fraction display a better selectivity and a lower resistance loss. When considering rear‐side irradiance of 0.15 sun, the dopant‐free bifacial solar cell with 60 nm ZnO and 50% LiFx/Al metal contact fraction achieves a 3% estimated output power density improvement compared with its monofacial counterpart (21.0 mW cm−2 compared to 20.3 mW cm−2) using the full‐area back contact. Both the efficiency and bifaciality factor of this dopant‐free device are still significantly lower than those of state‐of‐the‐art devices relying on doped‐silicon‐based layers. The required improvement for this technology to become industry‐relevant is discussed.

GIS-linked tidal range energy resource assessment

A technique is applied for the estimation of tidal power in estuaries using geostatistical methods. Tidal data of 9 years for six different locations in creek region of Pakistan is utilized for the first time, to develop four different geostatistical models for tidal range energy resource assessment. Validation for all models is performed and best-fitted model is selected for estimation of tidal data at un-observed locations. Results obtained from selected model are found well-matched with the observed data. Finally, the tidal power density model is developed showing tidal potential power density ranges between 0.634 and 1.124 W/m2. Since bathymetry is essential to identify regions with adequate water depth for tidal impoundment, sluices, and turbine installation, thus, bathymetry model is also developed. With projected basin area, adequate bathymetry, and suitable turbine, three sites are proposed for harnessing tidal potential energy. Total estimated output power from this regime is 358.29 MW.

RANCANG BANGUN SISTEM PEMANFAATAN PANAS BUANG PADA KOMPOR PORTABEL MENGGUNAKAN THERMOELECTRIC GENERATOR

The world's population continues to grow, causing energy needs to increase rapidly.In fact, not all regions have a special supply of electrical energyareas that are located in remote and difficult to access places. Besides the depletion of reservesfossil fuels as the main source of electricity generation and effectsbad pollution also encourages the change of energy sources into new energyrenewable (EBT). The purpose of this research is to design a solution forovercome both of these by using the exhaust heat utilization system(waste-heat recovery) in domestic combustion, especially portable stoves.Thermoelectric generator (TEG) is the right choice because it has severaladvantages needed such as simple conversion process, reliabilityhigh, and ease of application. The research will discuss the design of the toolwaste-heat recovery on portable stoves mechanically and electrically. Designcarried out on 2 different types of TEG modules, namely TEP1-1264-3.4 and SP1848-27145. The proposed tool has an estimated output power of about 9.24 W for the moduleTEP1-1264-3.4 and 9.0048 W for SP1848-27145 module using 8a TEG module with an approximate temperature difference of 60 ? and a cooling systemwater based. Thus the TEP1-1264-3.4 module generates more powerhigher than SP1848-27145 module and the series configuration is rated better because of thishave no problem when experiencing voltage differences between modules. Designmechanical build that is made to have 2 separate frame parts for conveniencecircuit maintenance.

A new approach for integrating wave energy to the grid by an efficient control system for maximum power based on different optimization techniques

In this paper, a Wave Energy Conversion (WEC) model consisting of a Savonius type wave turbine plus DC generator, Battery Energy Storage System (BESS), inverter, and Inductance-Capacitance-Inductance (LCL) filter is designed. In this study, the optimization techniques are used to maximize Savonius type wave turbine self-efficiency considering different factors such as the height, depth, length, and time period of the wave. Four meta‐heuristic optimizations are competing in this article for obtaining the optimum parameter design based on the output electrical power of the wave. These are Whale Optimization Algorithm (WOA), Artificial Immune System (AIS), Bat Algorithm (BA), and Particle Swarm Optimization (PSO) algorithm. The comparative results verify the reliability of WOA in maximizing the overall electrical output power from the wave turbine while confining with the constraints. Moreover, an efficient control system is designed to operate in Islanded Mode (IM) and Grid-Connected (GC) operations according to the matching between the maximum estimated output power from the WEC system and the system load. A proposed control scheme is performed for adjusting the system frequency and voltage in islanded mode operation and ensuring active power-sharing in grid-connected mode. The islanded control scheme consists of three levels; droop control, inner voltage, and current control, outer control based on model predictive control (MPC) to maintain the system frequency and voltage to their nominal values. WOA is also proposed to improve the performance index by optimally evaluate the control signal and tracking error weighted parameters. The GC control scheme is based on the Active/Reactive Power (P/Q) controller to ensure active power-sharing. The effectiveness of the proposed controller has been verified by considering system parameters uncertainties.

Computation of Power Generation of Green Power Unit based on Probability Distribution Parameter

Today’s power systems era is speedily going towards natural sources of power. The power system is also in the mode of decentralization. Decentralize means to split a large power system into small, safe and smart power grid or to create microgrid. This decentralization required separate control of each part of the power system. It can reduce the complexity of the large power system; provide efficient and economical installation and easy operation. To keep our globe healthy; green sources of electrical energy like solar, wind tidal, biomass are the best option for the power sector. Integrating green power sources in a decentralized power system needs better planning and upgraded technology. To deal with uncertainties of Green power sources, the first step is to estimate output power. In this paper output power with the uncertain nature of sources is estimated and analyzed to integrating green power sources. For it, the statistic model of solar and wind power generation has been discussed. Probable distribution of wind speed and solar irradiation is found using available mean data. Output power Generation of wind and solar sources are estimated based on the probability distribution curve and power equation. It has analyzed for different value of shape parameter Here mean wind speed and mean solar irradiation data of one town of Gujarat state, India has been collected for the planning of microgrid.

Short-term Prediction of Output Power and Constrained Optimal Control for Point-Absorber Type Wave-Energy Converters with Linear Generators

This paper addresses the issue of a control subject to physical constraints, involving an energy maximization for wave energy converters with a linear generator. Previous approaches to this problem including model predictive control (MPC) have currently some challenges. The conventional control methods, on the other hand, to be able to estimate the performance of wave energy converters are required in practice. In this study, casual constrained optimal control based on the short-term prediction method is proposed. A novel short-term prediction method of both satisfying with maximum output-power and limited heave amplitudes using the energy spectrum method is shown in this paper. Maximizing estimated output power subject to making the estimated amplitude smaller than motion limitation realizes maximizing output power under the heave-motion limitation. To confirm the accuracy of the short-term prediction method and the performance of the proposed control method, the output power is compared with the output power obtained from other control methods through the frequency and time domain simulations in irregular waves. The results show that the short-term prediction method is useful, and the proposed method can maximize output power under the heave-motion limitation.

Nanoscale Texturing and Interfaces in Compositionally Modified Ca3Co4O9 with Enhanced Thermoelectric Performance.

Oxide thermoelectric materials are nontoxic, chemically and thermally stable in oxidizing environments, cost-effective, and comparatively simpler to synthesize. However, thermoelectric oxides exhibit comparatively lower figure of merit (ZT) than that of metallic alloy counterparts. In this study, nanoscale texturing and interface engineering were utilized for enhancing the thermoelectric performance of oxide polycrystalline Ca3Co4O9 materials, which were synthesized using conventional sintering and spark plasma sintering (SPS) techniques. Results demonstrated that nanoscale platelets (having layered structure with nanoscale spacing) and metallic inclusions provide effective scattering of phonons, resulting in lower thermal conductivity and higher ZT. Thermoelectric measurement direction was found to have a significant effect on the magnitude of ZT because of the strong anisotropy in the transport properties induced by the layered nanostructure. The peak ZT value for the Ca2.85Lu0.15Co3.95Ga0.05O9 specimen measured along both perpendicular and parallel directions with respect to the SPS pressure axis is found be 0.16 at 630 °C and 0.04 at 580 °C, respectively. The peak ZT of 0.25 at 670 °C was observed for the spark plasma-sintered Ca2.95Ag0.05Co4O9 sample. The estimated output power of 2.15 W was obtained for the full size model, showing high-temperature thermoelectric applicability of this nanostructured material without significant oxidation.

Stability analysis and dynamic equilibrium of a Kuroshio generator system

Global resources for conventional energy are currently being exhausted, and several countries worldwide are attempting to develop renewable energy. Current generator systems are a subject of ocean power research. This paper proposes a novel design of a Kuroshio generator system (KGS) that is suitable for the maritime environment of Taiwan (i.e., an average flow velocity of the Kuroshio Current is 1.45 m/s and the flow can be accelerated on Keelung Sill with a depth of 50-250 m). The KGS combined a reliable cable design and simple anchor system at sea and was not affected by motion changes of rotation axes in yaw and roll by way of an appropriate rudder design. An intuitive simulation method applied using MapleSim software was used to create a rigid KGS model. Different modeling frameworks for varied cable design and joint positions were adjusted to meet system requirements. An intuitive simulation method applied using MapleSim software was used to create a rigid KGS model. Different modeling frameworks for varied cable design and joint positions were adjusted to meet system requirements. The stability analysis was performed to determine dynamic equilibrium and motion behavior of the KGS and the combined cable design. The optimal spring stiffness and damper coefficient of polyester fibers were set as 5×10 5 N/m and 3×10 5 N∙s/m in the simulation, respectively. Furthermore, to achieve the torque equilibrium in pitch motion of the KGS, an optimal joint position that was relative to the leading infraedge of the outer duct was set at 2.2 m along the negative surge axis according to their responses in the simulation. Finally, the force and torque generated by the hydrodynamic effect in the KGS and the estimated specifications of a direct-drive permanent magnet generator equipped with an external rotor were imported into the simulation. Consequently, the motion ranges of translation axes in surge and heave were converged within 0.5 m, and the estimated output power in the KGS exceeded 54.8 kW.

Modelling and Simulation of Solar PV Array Field Incorporated with Solar Irradiance and Temperature Variation to Estimate Output Power of Solar PV Field

Photovoltaic systems are designed to feed either to grid or direct consumption. Due to global concerns, significant growth is being observed in Grid connected solar PV Plants. Since the PV module generates DC power, inverter is needed to interface it with grid. The power generated by a solar PV module depends on surrounding such as irradiance and temperature. This paper presents modelling of solar PV arrays connected to grid-connected plant incorporated with irradiance and temperature variation, to design simulator to study and analyse effect on output power of solar PV arrays with irradiance and temperature variation, also to estimate the output power generated by PV arrays. The mathematical model is designed implemented separately on simulator for each PV components connected in PV systems, which are PV cell, Module, sting, array and field of arrays. The results from simulation based on model are verified by the data collected from power plants and experiments done on solar PV cell.