Electrical Energy Generation Research Articles

Повышение энергетической эффективности газопоршневой ТЭС за счет комплексного использования тепловых вторичных энергоресурсов

Recently, the advantages and prospects to use piston gas internal combustion engines for the combined generation of electrical and thermal energy have become increasingly obvious. The range of single capacities of gas piston units (GPU) ranges from 0,1 MW to tens of MW, which makes them more attractive when designing various power facilities. Most brands of gas piston units can operate in co-generation mode, that is, as a combined heat and power plant that simultaneously generates electrical and thermal energy. The purpose of this study is to substantiate the possibility of integrated use of heat of the cooling systems of the gas piston engine of a thermal power plant (TPP). The studies conducted are carried out using well-known methods of thermodynamic calculation of the internal combustion engine cycle, of determination of the components of its thermal balance and thermal calculation of the equipment for utilization of secondary thermal energy resources. The results of the analysis of the heat losses of the GPU drive engine have showed that the total losses during its operation are about 11544,5 kW. Average potential heat losses with flue gases are 45,87 %, and low-potential heat losses with water in cooling systems and oil in lubrication systems are 53,14 %. A schematic diagram is proposed for the integrated utilization of thermal renewable energy resources (RES) at a gas piston thermal power plant. The main difference between the proposed scheme and the existing technical solutions is the utilization of the heat of the low-temperature charge air cooling system after the second section of the compressor and the heat of the engine lubrication system. An analysis of the expenditure part of the energy balance of the drive engine in case of the integrated use of thermal RES in the GPU cycle, has showed that the implementation of energy-saving measures will make it possible to usefully use up to 93,05 % of the supplied energy in the generation of electrical and thermal power.

La innovación disruptiva de la generación de electricidad distribuida: un reto para la administración pública en México

Distributed generation (DG) is the generation of electricity, mostly photovoltaic, close to consumption centers by individual users in residences or companies, whose main objective is self-consumption. It is considered disruptive by breaking with the paradigm of centralized generation. The objective of this study was to analyse the trend, benefits and challenges that the penetration of this technology in Mexico implies for the public administration. A study with a quantitative approach, based on empirical data published by international organizations and the Mexican government, with the study subjects being the country and its 32 States. A significant penetration of DG was found in Mexico where it has had a compound annual growth rate of 45% in recent years, reaching an installed capacity of around 3 GW. Its geographical distribution in Mexico is heterogeneous and depends on the economic level of the State. The contribution that DG makes to the energy transition is important in environmental terms, it represents a saving of more than one million tons of CO2 per year and in economic terms a significant saving for the public administration in the area of electrical energy generation. The Mexican public administration faces a double challenge: on the one hand, stimulating DG to increase the generation of clean energy to comply with international commitments and on the other, achieving the flexibility required by the National Electric System for the integration of intermittent clean energies. such as photovoltaics.

Study on Grid-Connected Power Quality Improvement of Wind Farms Based on Repetitive Controller

The project highlights the wind energy and the process followed in the wind farms in order to generate the energy by using wind power and wind capacity as well. Moreover, it has been observed that wind energy is also considered one of the most effective electrical energy sources. The application of wind energy can be beneficial for different aspects of the business sectors of different countries across the globe and this is possible because of its cost-effectiveness. Furthermore, this study encompasses the strategies employed within wind farms to preserve and efficiently harness wind power for the generation of electrical energy. Notably, the project delineates the utilization of a diverse array of instruments, each instrumental in the conversion of wind power into valuable wind energy. Beyond the realm of technology, wind farms grapple with a spectrum of formidable challenges, stemming from the inherently capricious nature of wind. In addition, various issues concerning power quality and the stability of the power system have also been identified within these wind farms. To ameliorate these multifaceted challenges, the project introduces a range of meticulous control measures for implementation.

Design and Experimentation of a Hydrokinetic Turbine for Electricity Generation in Closed Pipes

In the present research work, a device for electrical energy generation to be used in water pipelines has been designed, simulated, and tested. To achieve this, a study of the most influential parameters involved in the experiment has been carried out and both, the turbine model and the geometry of the experimental test pipe, have been selected through CFD simulations. Next, the Design of Experiments (DOE) has been used to obtain the configuration with a higher energy extraction from running water. Finally, the turbine and the test pipe section have been manufactured by 3D printing and the experimental tests have been carried out with the optimal configuration to validate the results obtained in the CFD simulations. To simulate the exchange of energy between the water and the turbine, the CFD software SIMULIA XFlow has been used.

Optimal Design and Techno-Economic Analysis of a Hybrid System to Supply a Remote Fishpond with Electricity and Heat

This paper deals with the design of a hybrid system for the generation of electricity and heat that will supply a remote fishpond in eastern Serbia. The proposed hybrid system consists of a micro-hydro power plant (MHPP), a photovoltaic (PV) generator, a combined heat and power (CHP) unit with one diesel generator, batteries, a converter, a thermal load controller (TLC), and a boiler. A comprehensive techno-economic analysis is performed in the HOMER Pro software, which evaluated and compared 12 possible configurations with different combinations of system components. The results show that the optimal system has the lowest total net present cost (NPC) and the lowest levelized cost of energy (COE) amounting to 284421.0 $ and 0.178 $/kWh, respectively. Compared to a diesel/batteries/converter/boiler hybrid system, the proposed system produces 65.4 % less greenhouse gas (GHG) emissions, while the shares of electricity, heat, and renewable energy generation are increased by 31.1 %, 5.0 %, and 51.2 %, respectively. It is shown that covering the demand for heat by regenerating the waste heat from the diesel generator and excess electricity from renewables contributes to reducing the total cost of the system and the GHG emissions. This finding finally emphasised the necessity of applying TLCs in off-grid hybrid systems.

The Potential Use of Pseudomonas stutzeri as a Biocatalyst for the Removal of Heavy Metals and the Generation of Bioelectricity

Currently, industry in all its forms is vital for the human population because it provides the services and goods necessary to live. However, this process also pollutes soils and rivers. This research provides an environmentally friendly solution for the generation of electrical energy and the bioremediation of heavy metals such as arsenic, iron, and copper present in river waters used to irrigate farmers’ crops. This research used single-chamber microbial fuel cells with activated carbon and zinc electrodes as anodes and cathodes, respectively, and farmers’ irrigation water contaminated with mining waste as substrate. Pseudomonas stutzeri was used as a biocatalyst due to its ability to proliferate at temperatures between 4 and 44 °C—at which the waters that feed irrigated rivers pass on their way to the sea—managing to generate peaks of electric current and voltage of 4.35 mA and 0.91 V on the sixth day, which operated with an electrical conductivity of 222 mS/cm and a pH of 6.74. Likewise, the parameters of nitrogen, total organic carbon, carbon lost on the ignition, dissolved organic carbon, and chemical oxygen demand were reduced by 51.19%, 79.92%, 64.95%, 79.89%, 79.93%, and 86.46%. At the same time, iron, copper, and arsenic values decreased by 84.625, 14.533, and 90.831%, respectively. The internal resistance values shown were 26.355 ± 4.528 Ω with a power density of 422.054 mW/cm2 with a current density of 5.766 A/cm2. This research gives society, governments, and private companies an economical and easily scalable prototype capable of simultaneously generating electrical energy and removing heavy metals.

Optimum Design on Integration Biogas into Fuel Cell System in Malaysia: Economic and Environmental Aspect

Transition to renewable energy in electricity generation need a serious study in variety of issues. Environment and economic perspective become the vital issue that need to study in local condition for penetration new concept of energy resources. Feeding a biogas into the fuel cell system seems an attractive way to less dependent on fossil fuel-based electricity generation. This study aims to optimize the plant location based on two aspect environment and economic. Capacitated Plant Location Model (CAPLOC MODEL) were used in determine the optimized location of the plant. The optimum design of power plant in Sarawak solely generated 847.91 MW and Pahang about 604.26 MW. Hopefully, the outcome of the study can provide the information for stakeholder in choosing the location for future energy system in Malaysia.

Application of Fractional Order PI/PID Voltage Controllers for Three-Phase Voltage Source Inverter with Dynamic Load

Purpose: With the depletion of fossil fuels, the landscape of electrical energy generation has witnessed a transformative shift towards alternative sources such as fuel cells and photovoltaic (PV) systems that produce direct current (DC) electricity. In the realm of distributed power generation, three-phase voltage source inverters (VSIs) are extensively utilized for converting energy from DC sources to alternating current (AC) for the grid or loads. The pivotal objective of this study is to investigate and compare the performance of fractional-order Proportional-Integral (PI) and Proportional-Integral-Derivative (PID) control structures against their integer-order counterparts in the voltage control loop of a VSI connected to a dynamic load system.
 Materials and Methods: The research employs frequency response analysis to design and implement both fractional-order PI/PID and integer-order PI/PID control structures for the voltage control loop. The simulation of the controlled system is conducted using MATLAB/Simulink, considering two distinct test scenarios – unstable and stable dynamic load conditions. The primary focus is on analyzing the inverter output voltage in the d-q axis under these scenarios.
 Findings: The analysis of the simulation results reveals noteworthy distinctions between the fractional-order and integer-order PI/PID controllers in the context of controlling the inverter system with dynamic loads. These findings shed light on the advantages of employing fractional order controllers, particularly in dynamic load scenarios, showcasing superior performance in comparison to their integer-order counterparts.
 Implications to Theory, Practice and Policy: The study's outcomes hold significant implications for the theory and practice of voltage control in distributed power generation systems. The superiority of fractional-order PI controllers underscores their potential for enhancing power quality, especially in systems with unstable and time-varying dynamic loads. These insights can inform the development of more effective control strategies for voltage source inverters, influencing both theoretical frameworks and practical applications. Policymakers may consider these findings when formulating regulations and incentives to promote the adoption of advanced control strategies in the evolving landscape of electrical energy generation.

Development of Patented Autonomous Quantum Gravitational Electric Energy Generator Prototypes

After quantum physics modelling of Gravitational interaction from hypotheses, we performed experimental confirmation experiments of predicted increased Faraday’s induction. Brief and low energy electric discharges were made, at room temperature, into partially superconducting Graphite based devices, patented and named “emitters”, inserted in series with the primary low inductance of a transformer. The high voltage secondary inductance of that transformer was connected to a capacitor, so the secondary current oscillated during several milliseconds.
 
 We Measured the global energy efficiency of Faraday’s induction, during each electric discharge into the emitter of the primary circuit. We also measured evolution of the peak primary discharge current, and of its derivative, versus the initial charge voltage. We observed systematically a much larger than 100% energy efficiency. That energy efficiency increases with the primary discharge energy. The peak discharge current is observed to be much larger than predicted by Ohm’s Law, and the discharge current derivative is also observed to be much larger than classically predicted.
 
 Same experiments, performed with “normal conductive devices (control)”, gave energy efficiencies much lower than 100 %, independent of the stored energy. And their peak discharge currents and derivatives followed Ohm’s Law.
 
 From these confirmations of predicted results, we proposed and tested successfully concepts of Autonomous electric Generators prototypes, extracting their energy from the cosmological Gravitational quantum field. Their industrial use into electric vehicles should preserve Earth fossil energy resources, as well as reduce the detrimental climate effects of greenhouse gases emissions. Hypotheses are suggested to explain the observed experimental facts.

Innovative triboelectric nanogenerator (TENG) design utilizing a stress ball for energy harvesting, wellness, and safety applications

The present manuscript introduces a cost-effective and simple method for creating a Triboelectric nanogenerator (TENG) that utilizes a stress ball as a base and FEP, Aluminum as triboelectric pairs. The TENG design demonstrates an innovative approach that can be used for energy harvesting, stress relief, and human safety simultaneously. The unique aspect of this TENG design is using a Polyurethane foam-based ball (Stress-Ball) with excellent elasticity as a spacer, eliminating the need for additional spacers. The TENG prototype produced a power density of 625 mW m−2 and 1.75 W m−2 in squeezing and tapping mode, respectively. Furthermore, four TENG devices integrated in the prototype tiles enable electrical energy generation to power 720 LEDs with every casual footstep. The TENG converts biomechanical energy produced from hand-squeezing exercises into electrical energy that can power small, wearable, and portable electronic devices such as calculators, thermometers, and watches. Wearable LEDs powered by squeezing the ball while walking on dark roads provided safety applications. Overall, the presented TENG design showcases an efficient and affordable way of generating electrical energy while also promoting human wellness and safety.

Assessing the Intensity of Economic Progress, Industrialization,Energy Use on Environmental Degradation

This study intensifies the interrelationship between environmental downfall, economic and industrial enhancement, renewable and non-renewable energy consumption in the period of 1997 to 2018 for the G-7 and selected five MENA countries. The paper intends to explore how renewable energy, fossil fuel, electricity generation, GDP, and industrialization affect the environmental pollution. For a dynamic panel data analysis, some statistical methods have been utilized, including Slope Homogeneity (SH), Cross Section Dependence (CSD), Cross-Section Im-Pesaran-Shin (CIPS), and Cross-Section Augmented Dickey-Fuller (CADF) of the second generation unit root tests, and the second generation (Westerlund-2007) CO-integration test, both Feasible Generalized Least Squares (FGLS), Panel-Corrected Standard Error (PCSE), and dynamic generalized method of moments (d-GMM) panel estimation approach have been applied. Feasible generalized least square (FGLS) shows that if GDP, fossil fuel energy consumption, industrialization, and electricity generation, increase by 1% then CO2 emission increases by 79.8%, 5.3%, 10.37%, and 8.26% respectively. If renewable energy increases by 1% CO2 emission decreases by 6.56%. When GDP growth rises, there is a corresponding increase in environmental pollution within industrialized economies. This demonstrates a positive correlation between GDP, industrialization, and CO2 emissions, which means that as the economy grows, environmental degradation will continue to worsen over time. Therefore, concerned parties should take proper policy steps to protect environment in industries and towards sustainable growth.

Measurement and calculation of harmonics in distribution power system with connected small co-generation facility Etan

Generation of electrical energy in large conventional plants (thermal, hydro, nuclear) in last ten years worldwide is being supplemented by small generation utilities. Etan is a gas refining facility. Power supply is provided by two turbo generators and each of them can independently cover the consumption of Etan. Etan usually works in insular operation, but it can also work parallel to the distribution system, especially in cases of maintenance of generator units. Etan is connected to the MV distribution power system (10 kV bus in substation 35/10 kV Ivanic Grad) through a 4,5 km long cable. Load in Etan consist mostly of induction motors. Power electronic devices are used for control of motor loads. The working process of the refinery is always the same so the load is not varying with time. It is very important to know the influence of this kind of industrial consumers with distributed generation on power quality. Power quality measurements were performed at three measurement points with the power quality analyzer ION 7650 of company Power Measurement. The aim of this paper is to compare harmonic measurements and calculations at all three measuring points in different operating conditions depending on the production of generator in Etan.

Poultry litter: great potential for electrical energy generation in Brazil

Due to the rapid industrialization and population growth there is a higher energy demand. As a result of this factor the greenhouse effect has been aggravating the weather around the globe. Many countries are seeking for sources of renewable and clean energy in order to reduce the air pollution. The biomass energy is an alternative that may interest everyone, since it is a renewable source and there are several technologies for its processing. This study aims to quantify the generation of poultry litter in the production of broiler chickens in the country, to identify the technologies for the available energy conversion, to quantify the potential for electrical energy generation and indicate through technical analysis the most feasible technology to explore the energy potential. In Brazil the biomass derived from the poultry litter represents 1% of all the available biomass, compared to the straw and sugar cane bagasse, regarding the biomass used in the electrical energy generation this percentage increases to 7%. Using the process which is more efficient (gasification) with the poultry litter produced in the country in 2010 (8.23 X 109 kg), it is estimated a production of 503.77MW. This energy may be injected into the network to meet the demand at times of increased consumption.

CORNICE MODULAR WIND COLLECTOR © FOR COLLECTION AND AMPLIFICATION OF THE VERTICAL WIND COMPONENT IN BUILDINGS FOR GENERATION OF SMALL WIND ELECTRIC ENERGY

The generation of small wind electric energy in urban spaces in general and buildings in particular has an indisputable potential for practical applications. Notwithstanding, up until now, advances in this field have been less than expected. In order to take advantage of small wind energy, research in buildings requires the construction of a scale model for wind tunnel simulation. The difficulties regarding the construction of scale models and the availability of wind tunnels have slowed down a great deal this kind of research. New CDF (COMPUTATIONAL FLUID DYNAMICS) software techniques have made it possible to do research in buildings for small wind energy exploitation. A virtual scale model of the building under study is developed utilizing CAD. Subsequently, the model created with CAD is inserted into the CFD software and a simulation is conducted as if in a virtual wind tunnel. Considering the results obtained from research conducted with CFD software as well as from experimental validations in a wind tunnel, the research groups in La Rioja University known as “Modeling simulation and optimization of electrical industrial and automated fabrication systems” and “Integral Design Group“ have designed an optimization system for collection of small wind energy in buildings, for electric energy production through renewable sources.

Rural and Urban Transitions with Biogas and Biomethane in Brazil: a Water Energy-Food Nexus Analysis

Brazil has historical concerns about renewable sources of energy, mainly because it is the largest tropical country in the world, receiving intense solar radiation, which is the basis of biomass production. In addition, the country has exceptional soil and climate conditions and great biodiversity. Agriculture and livestock activities are very representative in the Brazilian economy and produce usable biomass, which entail renewable sources of energy and the need for residue management. In this context, biogas represents a basic energy source; it is generated via planned treatment of animal, human and industrial wastes. This has two main results: a) the generation of electric, thermal, and vehicular (biomethane) energy; and b) the reduction of greenhouse gas emissions and resultant mitigation of global warming. This paper assesses agricultural biogas projects being developed by Itaipu Binational, the second largest hydroelectric power generation company in the world, which has diversified its energy production from hydropower into other renewable sources such as biogas. In addition to promoting environmental and economic benefits, it promotes local social development, since the process for biogas production constitutes and sustains a relatively complex supply chain, requiring local skilled labor, technical and scientific support, and environmental awareness in the population. We conclude with implications of the Itaipu biogas case example for a range of other contexts.

Reduction of Electrical Losses’ Analysis on Distribution Systems with Distributed Generation and Energy Storage Systems

The increasing use of distributed generation inthe Electric Power Systems has brought these several problems, since the controllers of these systems must take into account one more variable for any decisions. Within this context, there was a special emphasis on the use of electric energy storage systems to reduce losses, with the allocation of them as a load at the over-generation points and to reduce system losses at peak demand points. This article presents an analysis of the distributed generation to compare the electrical losses using electrical energy storage. The technique used to estimate the electric energy generation of a photovoltaic system in one day, according to temperature and irradiation data, was the application of artificial neural networks. Thus, the storage element appropriate to the demand and generation levels was first defined and the OpenDSS tool was used to perform the study of the load flow and to measure the effect of the use of these storage systems in the IEEE 37 bus network. Using energy storage in this application has proved to be advantageous, reducing the losses of active power at the peaks and reducing over-generation during the day, measured as crucial for the future of the distribution.

An improved technique for the estimation of local frequency, fundamental component phasor and instantaneous symmetrical components.

Generation of electrical energy in large conventional power plants (thermal, hydro and nuclear) in last ten years worldwide is being supplemented by small generation utilities that are fuelled by renewable sources, waste etc. In Republic of Croatia few years ago first small power plants projects were started. One such project was constructing small thermal power plant as a part of sanitary landfill treatment process in Zagreb, capital of Republic of Croatia. It is first power plant in Republic of Croatia of that kind which is fuelled by landfill gas that is result of decomposition process. After the commissioning of small thermal power plant (STPP) Jakusevec a detailed analysis of voltages and currents at the point of connection to the local distribution network was conducted. Results of that analysis are given in this paper.

Thermal efficiency dataset around Cuban seas (TEDACS).

Currently, the generation of electrical energy in Cuba is supported by oil and natural gas. These sources, as it is known, are directly linked to large emissions of pollutants that are released into the environment. Therefore, it is necessary to search for new energy options that are directed towards sustainable development, allowing the preservation of natural ecosystems. Owing to the location and geographical characteristics of Cuba, it is necessary to assess the energy possibilities of the seas that surround it and to search for the most feasible areas to obtain energy from the sea temperature. This renewable energy source, in addition to being used to generate electricity, can also be used in derived technologies, such as desalination, refrigeration, and aquaculture. Hence, a dataset is presented with the calculation of the thermal efficiency for the exploitation of thermal energy from the sea, which is based on the thermal gradient between the sea potential temperatures between the shore and the level of depth being analyzed. Outputs of 27 years of daily data from the Copernicus Marine Environmental Monitoring Service (CMEMS) GLOBAL_MULTIYEAR_PHY_001_030 product with a spatial resolution of 1/12° were used. The calculation was made using a Python script of the daily thermal efficiency at depths of 763, 902, and 1062 m, as these are the levels that are traditionally studied for the exploitation of sea thermal energy. In this way, 27 files of each level were generated for a total of 81 files in text format separated by commas. Each file is presented with the date, level, coordinates, and thermal efficiency. The dataset is available from the Science Data Bank repository ( https://doi.org/10.57760/sciencedb.10037).

Cogeneration in electrical microgrids.

Simultaneous generation of electrical and useful thermal energy (hot, cold, or both) is an obvious way to optimize the consumed energy efficiency. In the last decade, cogeneration has had, in a world level, a big deployment, thanks to the use of gas and the fact of taking advantage of biomass and other waste products energetically valuable. However, there are possibilities to extend cogeneration applications by means of new technologies of multiple generation of: electrical power, heat, cold, desalination and/or regeneration of water and chemical products in general. The priority performances about this context are being centered in the development and researching of a distinguished group of electrical micro-generation technologies, which energetic benefits highlight because of a high global index of efficiency. In this group of advanced technologies Fuel Cells, Stirling Motor and Gas Microturbines are included.

Operation of a solar power plant with dual-axis solar tracker

The paper evaluates the generation of electrical energy by a solar power plant equipped with a solar tracking system using the ASHRAE clear-sky method for calculating solar insolation. The mathematical algorithm uses the MathCad system with data export and analysis in Microsoft Excel. Collected over a month and the operation period in 2022–2023, data on electricity generation by solar stations characterised by an optimal constant angle of inclination of the solar panel and equipped with a solar tracking system were used. By taking into account the varying ambient temperature, dust content, and solar transmission by the solar panel coating, the given algorithm allowed electricity generation by a solar panel to be forecasted with an average absolute error ranging from 0.22 to 9.8. To determine solar insolation for a specific day and the geographical coordinates of the intended construction site of a solar power plant, a mathematical model was developed using MathCad software. The experimental and computational studies carried out on selected clear days, accounting for varying weather conditions, demonstrated the adequacy of this method and its applicability for forecasting electricity generation with different inclination angles of a solar panel. It was established that a solar power plant with a solar tracking system generated 37% more electricity per year than that with fixed solar panels. The ASHRAE Clear-Sky method for calculating solar insolation allows the amount of electricity generated for a specific region to be estimated with minimal input data. Further research will focus on defining and improving methods for forecasting electricity generation by a solar power plant on overcast days.