Backup Energy Source Research Articles

An efficient and resilient energy management strategy for hybrid microgrids inspired by the honey badger's behavior

This manuscript introduces a highly efficient hybrid renewable energy system (HRES) that combines photovoltaic (PV) panels and wind turbines (WTs) as primary power sources, supplemented by three backup systems: batteries, hydrogen energy storage systems (HESSs), and supercapacitors (SCs). This system employs a multi-objective optimization algorithm to dynamically identify the best energy management system (EMS). The performance of the proposed EMS across different operational scenarios is assessed using seven distinct algorithms to identify the best solution, particularly emphasizing two main objective functions: operating cost and loss of power supply probability (LPSP). Furthermore, the study rigorously evaluates the performance of these algorithms against nine benchmarks to determine the most appropriate algorithm for the HRES under consideration. In the 1st scenario, power demand is met using both primary and backup energy sources. The honey badger algorithm (HBA) proved its cost-effectiveness and efficiency by achieving the lowest overall operating cost and the highest efficiency of 95.893 %. Additionally, its computation time was notably faster, being 70 s–488 s quicker than the other algorithms. The 2nd scenario arises when power demand exceeds the available generation capacity because of the charging limits of all energy storage systems (ESSs), which prevents them from providing power to the load. The HBA achieved the lowest cost and matched the highest efficiency score of 96.691 %. Furthermore, HBA provided the quickest optimization, completing the process 400 s–450 s faster than the other techniques. In the 3rd scenario, the generated power surpasses the current load demand, and the ESS components are fully charged therefore, the proposed EMS efficiently directs excess power to a dummy load, preventing overcharging of storage components and enhancing grid stability. The HBA consistently exceeded the performance of other algorithms, achieving the lowest average cost, maintaining the highest efficiency of 95.305 %, and solving the optimization problem 300 s–500 s faster than the alternatives. Consequently, these results highlight HBA's flexibility and effectiveness, positioning it as a reliable choice for optimizing energy systems across various operational scenarios.

The utilization of renewable energy and the economic potential of offshore wind power supported by digital finance

Colombia is well-positioned for the development of sustainable energy due to its abundance of natural resources, which include water, wind, and sun. Regulating the safe and sustainable use of offshore wind energy, which is considered non-conventional, is lacking in the nation, nonetheless. The development of offshore wind technology in Colombia shows potential to meet energy needs during dry hydrological conditions and El Niño/Southern Oscillation events when the hydroelectric system power supply is low. This study examines global initiatives that have encouraged nations to develop plans for cutting their CO2 emissions, stressing both their successes and shortcomings in putting offshore wind technology into practice. An examination of Colombia's renewable energy administrative framework finds a lack of data required to carry out offshore wind projects. Furthermore, a review of previous research on marine energy emphasizes how important it is to expand our knowledge of offshore wind generation. Although the majority of local renewable energy projects concentrate on terrestrial sources, an analysis of wind speed and wind power density in Colombia at different altitudes shows promising magnitudes and good trends.Digital finance plays a crucial role in this context by providing innovative funding mechanisms, enhancing financial accessibility, and reducing investment risks through improved financial technologies. These advancements support the mobilization of capital necessary for the development and expansion of offshore wind energy projects.As a result, the technical, economic, administrative, and legal data pertinent to renewable energy in Colombia is compiled in this study. It proposes to provide information to stakeholders involved in decision-making processes and promotes the possible installation of offshore wind farms in regions close to Colombia's Caribbean coast. Because of its plentiful resources, Colombia offers a great chance to implement offshore wind energy technology, which will lessen dependency on fossil fuels and provide a backup energy source in case of supply shortages. The integration of digital finance is key to unlocking the economic potential of these projects, ensuring sustainable and scalable energy solutions for the future.

Investigation on NO and N2O emissions characteristics in deep peak regulation circulating fluidized bed boilers

Abstract To adapt to the increasing proportion of new energy power generation capacity, coal power must transition from its traditional role as the primary power source to serving as a fundamental backup and system regulation energy source. The circulating fluidized bed technology is known for its wide range of load regulation capabilities; however, emissions of pollutants during load regulation can exhibit significant variability. This study utilized Aspen Plus software to develop a circulating fluidized bed combustion model based on a gas-solid fluid dynamics model, an equivalent coal pyrolysis model, and a multi-phase macroscopic combustion reaction dynamics model of pyrolysis products. This model was used to predict both the temperature distribution within the furnace chamber and the distribution of pollutant concentrations. Predictions of pollutant emissions from 100 % load to 30 % load of the circulating fluidized bed were explored under the original combustion condition and 5 % proportion of recirculated flue gas. Under the primary combustion condition, the emission concentration of NO x showed a decreasing and then increasing trend with decreasing load, while the concentration of nitrous oxide, in contrast to NO x , showed an increasing and then decreasing trend. The effect of recirculated flue gas on pollutant emissions was not significant at reduced loads. This study aims to provide technical support and theoretical guidance for the management of pollutant emissions from the deep peak regulation of actual circulating fluidized beds.

Moderating AC Usage Can Reduce Thermal Disparity between Indoor and Outdoor Environments.

In the context of escalating urban heat events due to climate change, air conditioning (AC) has become a critical factor in maintaining indoor thermal comfort. Yet the usage of AC can also exacerbate outdoor heat stress and burden the electricity system, and there is little scientific knowledge regarding how to balance these conflicting goals. To address this issue, we established a coupled modeling approach, integrating the Weather Research and Forecasting model with the building energy model (WRF_BEP + BEM), and designed multiple AC usage scenarios. We selected Chongqing, China's fourth-largest megacity, as our study area due to its significant socioeconomic importance, the severity of extreme heat events, and the uniqueness of its energy infrastructure. Our analysis reveals that AC systems can substantially reduce indoor temperatures by up to 18 °C; however, it also identifies substantial nighttime warming (2-2.5 °C) and a decline in thermal comfort. Particularly for high-density neighborhoods, when we increase 2 °C indoors, the outdoor temperature can be alleviated by up to 1 °C. Besides, despite the limited capacity to regulate peak electricity demand, we identified that reducing the spatial cooled fraction, increasing targeted indoor temperature by 2 °C, and implementing temporal AC schedules can effectively lower energy consumption in high-density neighborhoods, especially the reduction of spatial cooled fraction (up to 50%). Considering the substantial demand for cooling energy, it is imperative to carefully assess the adequacy and continuity of backup energy sources. The study underscores the urgency of reassessing energy resilience and advocates for addressing the thermal equity between indoor and outdoor environments, contributing to the development of a sustainable and just urban climate strategy in an era of intensifying heat events.

PLANNING STUDY OF HYBRID POWER PLANT SOLAR PV-DIESEL GENERATOR ON KODINGARE ISLAND, SINJAI REGENCY

Kodingare Island is located in Pulau Sembilan District, Sinjai Regency, one of nine islands. Currently, most people still rely on conventional energy from diesel power plants. The reason is that this island does not yet receive an electricity supply from the electricity grid due to the geographical limitations of the archipelago. It is known that the most potential renewable energy source on Kodingare Island is solar energy, with a potential for solar radiation reaching 5.86 kWh/m2/day. This research aims to analyze an innovation that combines PV and solar, where PV acts as the main electricity generator, while solar functions as a backup and additional energy source. The method used in this research uses simulation methods, layout modeling, and financial analysis using HOMER Pro simulation software to determine the potential and performance of hybrid power plants and SketchUp Pro software to produce three-dimensional layouts and economic and feasibility values obtained through financial analysis. Technical aspects include producing an electrical energy system of 37,029 Wh/year, consisting of PV of 32,981 Wh/year and solar of 4,048 Wh/year with energy consumption of 33,850 Wh/year. The required fuel consumption is 2,086 L/year, with excess electricity of 931 kWh/year and renewable energy penetration of 89.1%. From an economic perspective, planning this hybrid power system requires an investment of 258.290.000 IDR, O&M costs of 19.350.600 IDR, and the cost of energy value of 1,352/kWh IDR. In contrast, from the feasibility aspect of planning a hybrid electric power system, it is said to be feasible because it produces a Net Present Value of 9,870,151 IDR, is more significant than zero, the Profitability Index is 1.03 greater than one, the Internal Rate of Return is 8.90% greater than the credit interest rate of 8.43% and the Payback Period required for return of capital is nine years nine months.

Ukraine’s energy supply in the defense sector: The first lessons of war

The terrible consequences of the Russian-Ukrainian war, which continues on the territory of the Ukrainian land, and the consequences of natural disasters indicate the need to create alternative (reserve or emergency) sources of energy supply for enterprises, institutions, and individual households, and objects of small forms of management, especially outside the points of permanent deployment. Ensuring an uninterrupted and stable electricity supply to all these forms is an extremely important problem for Ukraine as the country faced a large number of challenges regarding energy independence due to numerous missile strikes. The purpose of the study was to analyze the energy system and the level of damage to Ukraine after the Russian missile attacks, the impact on the state of energy supply of individual facilities and consumers of military camps, examine the possibilities of using emergency and backup energy sources and alternative energy, in particular, solar and wind. The study analyses the destruction of the energy system of Ukraine as a result of missile attacks and the possibilities of using emergency and backup energy sources and alternative energy, in particular, solar and wind, and the investigation of the potential and opportunities to attract investment in the field of alternative energy. Special attention is paid to small business facilities, including military camps. In the course of the study, it was determined that Ukraine has a geographical location that provides space for the installation of various alternative energy systems and the possibility of combining them to diversify and improve the stability and reliability of the Ukrainian energy system. The practical importance of the study lies in the ability to make more informed decisions regarding the implementation of programs aimed at switching to alternative and decentralized energy sources. This will make the country’s energy infrastructure more stable and allow better meeting the energy needs of small forms of management, individual farms, military units, formations, and infrastructure facilities.

Extraction of essential oil from lemon grass through hydro distillation methods using solar and biomass energy

The extraction of essential oils from medicinal plants, traditionally achieved by using conventional energy sources such as LPG, wood and others, which are costly and detrimental to the environment. This study focused on using solar and biomass energy to process five pre-treated shade-dried Lemongrass samples [fresh (S1), 12 h (S2), 24 h (S3), 36 h (S4) and 48 h (S5)] for essential oil extraction using hydro distillation method. A complete set of distillation unit with 16 m2 Scheffler solar collector is provided, which can generate temperature of between 300 and 450°C when exposed to beam radiation ranging from 800 to 850 W/m2. It works efficiently only on sunny days; so a backup energy source is required hence; biomass distillation system (BDS) is utilised. The thermal energy required for a 5 kg, S3 sample with 10 L of water was 10.32 and 10.62 kWh, and extracted oil was 43.8 and 46.4 ml, in solar distillation system (SDS) and BDS, respectively, which is the maximum oil yield. Statistical analysis was tested at the 1% significant level by central composite model. The system has been proven to be economically feasible, with the extracted oil having similar physicochemical properties as the available market oil.

Experimental study of two phase loop thermosyphons for hybrid solar systems

The use of thermosyphon technology to improve the efficiency of solar collectors, in thermal energy applications, has received literature increasing attention. The absence or decrease of solar radiation during nights or cloudy days can be compensated by another energy source, in the so-called hybrid solar systems. In the present paper, these systems, composed by two loop two-phase thermosyphons with independent evaporators, arranged in series and in parallel, are studied and compared between themselves for the first time in the literature. In the series configuration, the backup energy source feeds the evaporator of the auxiliary loop, which condenser is thermally connect to the evaporator of the main loop, also fed by the solar energy. In the parallel arrangement, both loops deliver the heat to a common condenser. These systems are tested under steady state conditions, keeping one or both evaporators active, representing the single (solar) or hybrid operation. The thermal resistance for both configurations are compared. Results of experiments simulating the operation throughout a typical day, including solar intermittency, are shown. In the solar intermittence tests, the backup evaporator, in the parallel arrangement, is able to compensate for solar absence 47% quicker, on average, when compared to the serial configuration. For the daily operation tests, the serial configuration is able to maintain the vapor temperature levels stable, when operating under different heat input rates between evaporators, while, in the parallel arrangement, vapor temperatures and thermal resistances varied significantly along the test.

Pump Insole with Mini AC Generator for Emergency Energy

—In innovative research, human footsteps are harnessed as a backup energy source. Researchers have developed shoe insoles equipped with a mini AC generator, which efficiently converts mechanical energy into electrical energy. This generator incorporates gears, a diode, capacitors, and an integrated circuit to regulate the output voltage, maintaining a steady 5 V. The electrical energy is stored in a battery via a DC step-up mechanism. When activated, this setup produces 4.99 V, 9.1 A, and 36.37 W of power. The study employed a three-cell storage battery with a capacity of 1800mAh for temporary energy storage. Charging the battery required 40 pumps, consuming 45.46 watts. Renewable energy sources, such as this innovative use of human footsteps, offer sustainability, environmental friendliness, and long-term cost-effectiveness. By converting mechanical energy into electrical energy, the mini AC generator embedded in the shoe insoles maximizes the utilization of human movement. This electrical energy is efficiently stored in a battery for future use through the DC step-up mechanism. The study’s findings highlight the potential of tapping into renewable energy sources to meet our energy needs sustainably.

Power consumption and energy management for edge computing: state of the art

Edge computing aims to make internet-based services and remote computing power close to the user by placing information technology (IT) infrastructure at the network edges. This proximity provides data centers with low-latency and context-aware services. Edge computing power consumption is mainly caused by data centers, network equipment, and user equipment. With edge computing (EC), energy management platforms for residential, industrial, and commercial sectors are built. Energy efficiency is considered to be one of the key aspects of edge power constraints. This paper provides the state of the art of power consumption and energy management for edge computing, the computation offloading methods, and more important highlights the power efficiency of edge computing systems. Furthermore, renewable energy and related concepts will also be explored and presented since no human participation is required in replacing or recharging batteries when using such energy sources. Based on such study, a recommendation is to develop a dynamic system for energy management in real-time with the assessment of local renewable energy so that the system be reliable with minimum power consumption. Also, regarding energy management, we recommend providing backup energy sources (or using more than one energy source) or (a hybrid technique).

Energy auditing and electricity saving opportunities in BPOM laboratory of manokwari

Energy auditing is a method of increasing energy efficiency. An energy audit is conducted to provide an overview of energy use, analyze the electrical system, and determine potential cost savings. The laboratory of the national food and drug agency (BPOM) in Manokwari has problems with electricity that often cause interruptions, power outages, and expensive bills. Therefore, this research was conducted to audit the energy used in the laboratory of the BPOM of Manokwari, with a building area of 1,484 m2 and an installed power of 105 kVA. In this laboratory building, a diesel generator with capacity of 5 kVA is installed as a backup energy source and the generator has its own installation line. According to the calculation results before auditing, the energy consumption intensity (IKE) value obtained per month is 10.18 kWh. Energy audit through lighting loads and air conditioning systems. Then the recommendation through energy savings for lights and air conditioners is 274.12 kWh/month and 639.32 kWh/month, respectively. Therefore, total savings are 913.44 kWh/month, or about IDR 1,541,886.72/month.

Design of High-Performing Hybrid Ground Source Heat Pump (GSHP) System in an Educational Building

Underground thermal imbalance poses a challenge to the sustainability of ground source heat pump systems. Designing hybrid GSHP systems with a back-up energy source offers a potential way to address underground thermal imbalance and maintain system performance. This study aims to investigate different methods, including adjusting indoor heating and cooling setpoints and dimensioning air handling unit (AHU) cooling coils, heat pump and borehole field, for improving the long-term performance of a hybrid GSHP system coupled to district heating and an air-cooled chiller. The system performance, life cycle cost and CO2 emissions were analyzed based on 25-year simulations in IDA ICE 4.8. The results showed studied methods can significantly improve the hybrid GSHP system performance. By increasing the AHU cooling water temperature level and decreasing indoor heating and cooling setpoints, the ground thermal imbalance ratio was reduced by 12 percentage points, and the minimum borehole outlet brine temperature was increased by 3 °C in the last year. However, ensuring long-term operation still required a reduction in GSHP capacity or an increase in the total borehole length. The studied methods had varying effects on the total CO2 emissions, while insignificantly affecting the life cycle cost of the hybrid GSHP system.

Energy management strategy of field power station based on differential hysteresis voltage stabilization

The existing field power stations mainly use diesel generator sets for power supply, with poor power supply stability and no uninterrupted power supply capability. Therefore, a hybrid energy storage device is introduced into the field power station to improve it. According to the working characteristics of different energy sources, an energy management strategy based on differential hysteresis voltage stabilization is proposed. Hysteresis voltage stabilization control makes it true that the diesel generator set as the main energy source works for a long time, and the battery as a backup energy source works when necessary. Differential voltage stabilization control realizes coordination control of the two, which allows the battery to exit work smoothly. The strategy can get transient stability and stable economy, and extend the life of the battery. Simulation results show that this strategy is superior to the traditional hysteresis voltage stabilization strategy.

Energy-economic assessment of self-sufficient microgrid based on wind turbine, photovoltaic field, wood gasifier, battery, and hydrogen energy storage

Designing self-sufficient renewable energy systems is becoming a key issue in the energy sector due to modern energy goals. Due to the variability of renewable energy sources, very often it is necessary to adopt hybrid configurations of renewable energy systems and advanced energy storage to achieve self-sufficiency. However, the adoption of complex and novel systems, including technologies as photovoltaic, wind turbines, biomass gasifiers, hydrogen energy storage, must to be founded on a comprehensive analysis of the system operation under different conditions and its energy and economic performance in the investigated case study. Therefore, the aim of the present paper is carry out a comprehensive feasibility analysis of a novel hybrid renewable energy system achieving a high self-sufficiency level. The system integrates a wind turbine and photovoltaic panels to match the energy load of a tourist resort in Agkistro, Greece. Energy exceeding the load is directed to the energy storage system based on the battery and hydrogen tank. As backup energy source, a wood gasifier is used.The investigation is performed by means of a numerical model developed in TRNSYS software allowing one to simulate dynamically the system and to assess its energy and economic performance. The goal achieved during the simulation of the system was to ensure at least 97% of energy demand from renewable sources. Moreover, a parametric analysis of the storage system is presented. It is found that payback period of the installation varies in the range between 11 and 15 years, for systems configurations allowing to satisfy 90–98% of the users energy yearly demand from renewables. The achieved results allows one to evaluate the feasibility of the proposed system from both an energy and economic point of view.

Investigation ofFlood Monitoring & Detection System Using IoT Application

This research was conducted to investigate the performance of the Flood Monitoring & Detection System applying Internet of Thing (IoT) with solar system as a backup source. A flood is a catastrophe that happens unexpectedly and unpredictably. It is a disaster that often happens every year, especially once during the monsoon season. With the development of technology nowadays, it can help people’s that live in the flood risk areas daily lives become easier. Flood Monitoring and Detection technology with warning system is built to monitor and warn people living in areas a high risk for floods so that they are always prepared for floods before it happens. This project is applying the Internet of Thing (IoT) which is applying the wireless connection concept. Thesystem is completely controlled by one of the great Microcontroller technologies, namely the Arduino Mega, this microcontroller system can be designed according to a set program. This system requires some programming part for interfacing. Ultrasonic sensor is used in this to transfer the signal into the microcontroller board for the data output signal analysis. In current world, internet is the very most important thing nowadays, it also can be applied anytime and everywhere. Users can monitor the current situation of river water level on the application. In addition, this device also constructs as a back-up energy source with the presence of solar energy, which can be longer lasting and effective compared to conventional flood detection systems.

An Intelligent Two-Stage Energy Dispatch Management System for Hybrid Power Plants: Impact of Machine Learning Deployment

The utilization of renewable energy sources such as PV and wind power has become imperative due to the increase of carbon dioxide emissions, which leads to the increase in global temperature and the negative consequences of climate change. As a result, renewable energy sources are constantly gaining popularity to be integrated in power systems to create hybrid power plants (HPPs). However, HPPs come with great complications due to the uncertainty in renewable energy output, which has given rise to the need for a reliable and effective energy dispatch management system for HPPs. In this paper, a two-stage machine learning (ML) based energy dispatch management system for HPPs is designed to control renewable energy sources (PV and wind power), reserve energy sources (energy storage systems) and backup energy sources (diesel, fuel cells, auxiliary loads, etc.). The system aims to minimize the power variance in the HPPs to achieve peak shaving and valley filling. The first stage aims to forecast the power output of renewable energy sources, as well as the load demand. The second stage aims to coordinate the energy output of the reserve and backup sources to achieve the required objective. Different ML techniques were compared to find the highest performing ML algorithm to achieve the required objective of the system, where long short-term memory (LSTM) provided the highest results with an average mean squared error of 0.005 and an average explained variance score of 0.9. The results of the management system verify the effectiveness of the system for the management of the energy dispatch in HPPs, through the successful flattening of the load curve of the HPP, which increases the reliability of the power system with the integration of renewable energy sources. Also, the system was shown to be robust against the uncertainty of the PV and wind power output, and the load demand.

Optimal site selection for establishing solar power plant based on solar radiation using GIS

Although many nations employ solar energy as a backup energy source, not every site is equally conducive to the production of solar power. This is caused by the unequal dispersion of solar energy as well as a number of environmental conditions. The framework incorporates a number of Geographic Information Systems (GIS) features, including model builder and area classification. The framework used to derive the five sub-criteria weights determines the ideal locations for plant in the area based on the quantum of potential photovoltaic electricity production (PVOUT) that could possibly produce from Slope, exposure to sunlight, near to highways and closeness to a residential area. Finding the best locations for solar plant side identification in the “Anantapur” district using multicriteria decision analysis (MCDA).

Energy and Sustainable Development in Smart Cities: An Overview

Smart cities are an innovative concept for managing metropolitan areas to increase their residents’ sustainability and quality of life. This article examines the management and evolution of energy generation, various storage systems and the applications they serve, and infrastructure technology’s current condition and future prospects. Additionally, the study also examines energy-related construction and transportation systems and technologies. The Smart Cities Energy Prediction Task Force predicts electrical usage using STLF, SVM, and e-learning machines. To keep a system working well throughout the year, fossil fuels must be utilised as a backup energy source. Technologies can only benefit if integrated into the city’s infrastructure. By 2050, it is anticipated that the global population will surpass 10 billion, with most people settling in metropolitan regions. Between 2020 and 2027, the global market for smart energy is anticipated to expand by 27.1% annually, from USD 122.2 billion in 2020 to USD 652 billion in 2026. In 2020, Europe will account for 31.8 per cent of total smart energy product sales. China’s GDP is projected to grow by 33.0 per cent annually, reaching USD 176.1 billion by the conclusion of the analysis period. Consequently, smart cities are expanding and blooming worldwide, yet there are no permanent standards.

Optimasi Pembebanan Pada Sistem Penerangan DC Pembangkit Listrik Tenaga Akumulator Gandeng Sebagai Sumber Energi Cadangan

– frequent power outages from PLN will have an impact on activities in household or offices for lighting. The utilization of accumulators is worth considering, because the use of accumulators as an energy source has not been utilized optimally, especially for the fulfillment of energy needs on site and for certain uses, such as utilization in isolated locations. In order for the DC lighting system of the accumulator power plant that is arranged parallel as a backup energy source to work continuously or for a long time, it must be loaded with optimal load. Research is done by increasing the load gradually, which is useful to find out at what load so that there is a critical voltage in one of the accumulators. Research was also conducted without using additional photovoltaic chargers or using additional photovoltaic chargers. From the results of research when the DC lighting system of the accumulator power plant is arranged parallel as a backup energy source without using an additional photovoltaic charger at a maximum load of 160 Watts there is a critical voltage in one of the accumulators. And when the DC lighting system of the Accumulator Power Plant is paralleled as a backup energy source using an additional photovoltaic charger at a maximum load of 160 Watts or more, there is no critical voltage of 11.5 Volts in one of the accumulators, meaning that the DC lighting system of the Accumulator Power Plant which is parallel stacked as a backup energy source works continuously.
 Keywords : Accumulator, maximum load, critical voltage, optimal.

Modeling of the vibration and stability of a dynamical system coupled with an energy harvesting device

This paper studies the vibrational motion of a dynamical system connected to an electromagnetic device, which is one of the energy harvesting (EH) devices that transform the vibrational motion into electric energy. This system has three degrees-of-freedom (DOF) and consists of two linked parts attached together; one is a nonlinear Duffing oscillator, and the other is a nonlinear damping spring pendulum. The regulating equations of motion (EOM) are achieved utilizing Lagrange’s equations and solved analytically applying the approach of multiple scales (AMS) till the third order of approximation. The accuracy of the attained solutions has been examined by comparing them with the numerical ones of the EOM. The time histories of the solutions and the nonlinear stability analysis of the modulation equations are represented graphically in various plots. The Poincaré maps and phase portraits diagrams displayed the stable behavior of the studied dynamical system. In addition, the different ranges of the stabilities are examined and discussed. In the electromagnetic device, the output power and current time series are depicted as a function of different values of the damping coefficients, excitation amplitudes, and load resistance. It is noted that the output current and power are dropped when the damping coefficient is raised. On the other hand, the increment of the excitation has a positive effect on the electrical generation and produces increment of the output power and current. Furthermore, the output power grows when the total resistance increases to accommodate the applied load. The EH device generates high output current and power at low-frequency values. The significance of this work is limited to the numerous uses of its outcomes in everyday life, such as powering medical devices, serving as a power supply for sensors, and serving as a backup energy source for some electronic devices.