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In pursuit of the "double carbon" objectives, converting high-carbon thermal power plants into carbon capture power plants is recognized as an effective measure to mitigate carbon emissions. In order to improve the economy of the system, an electric hydrogen generation unit is introduced, and an economic dispatch strategy that considers the combination of a flexible carbon capture power plant and electric hydrogen generation is proposed. Firstly, the low-carbon principle of the flexible carbon capture plant is introduced, and secondly, the joint operation structure of the flexible carbon capture plant, pumped storage, and hydrogen generation is constructed in order to fully exploit the synergistic operation potential of the hydrogen and carbon capture plants. On this basis, an economic dispatch model with the objective of the lowest combined system cost of the sum of system operation cost, system carbon trading cost, hydrogen production revenue, and wind and light abandonment cost is established, fuzzy parameters are used to characterize the uncertainty levels of wind and light, fuzzy opportunity constraints are established, and the model is solved using an improved sparrow search algorithm. The results of the example show that the proposed model reduces the comprehensive cost by 20.9% and carbon emissions by 61.77% compared with the existing model, which has significant low-carbon economic benefits. [ABSTRACT FROM AUTHOR]

This paper investigates the decarbonization of Tabriz-City focusing on its wind power for electrification. Statistical, quantitative, comparative, and simulation-research-methods used to analyze the existing and future total energy consumption, demand, and cost in the city according to carbon-based and wind-based electricity. The Monte Carlo Simulation Method has been used to estimate the probability of the Levelized Cost of Electricity. Tabriz thermal power plant generates 1kWh electricity that costs 0.15 US$/kW without subsidies and produces 575 g.CO2/kW.h overall while it will plunge to 0.05US$/kWh producing 7 g.CO2/kWh using wind. The NPV and IRR (32%) analysis show that that investment in wind-based electricity is three times cheaper than thermal power electricity in Tabriz. It is shown that the electrification of an oil-based economy with wind-based power plants is an economical investment for the city. Besides the hub-height and rotor sweep area, the capacity factor is the most decisive in the productivity of the alternative turbines. [ABSTRACT FROM AUTHOR]

The enormous amount of solar power and its state-of-the-art capturing technology that produces electricity, increases the grid interconnection rate of photovoltaic (PV) plants. Prior knowledge of the aperiodic characteristics of solar energy received by the Earth’s surface is essential for PV plants to ensure reliable operation and stable, secure grid connections. Power generation under diffused sunlight by PV plants with the most widely used first-generation solar cells has significant limitations. A dye-sensitized solar plant (DSSP), utilizes dye-sensitized solar cell (DSSC) technology, remains active in low light conditions. Though the activeness enables such plants to generate electricity throughout the year while receiving diffuse sunlight, unlike conventional solar technologies the plants have a requirement of knowledge of future power generation. This could be the first paper to report on the generated power forecast for such plants. The study has utilized a machine learning approach with a proposed DSSP model for the forecast. Spyder, an open-source integrated development environment, is the test workbench for the experimentation. The results show the robustness and reliability of the method, regardless of the weather conditions in the test area. The DSSP, along with the prediction model, will moderately overcome the shortcomings of power generation under diffuse daylight with intermittent solar radiation and grid connections. [ABSTRACT FROM AUTHOR]

Distributed generation can actively participate in the day-ahead markets, real-time power balance, and wholesale gas markets to achieve various goals, such as supplying gas to various electric power generation plants. A multi-objective network with two types of loads is considered in this paper. The reason for the simultaneous optimization of these two networks is that these two energy carriers are dependent on each other and gas is needed to produce electricity, so this issue can be addressed with a multi-objective function. The simulation carried out in this article is coded in GAMS software as a mixed integer linear programming (MILP). The efficiency of gas turbines and fuel cells in this article is dependent on their working point, and considering the exact model of these resources and the relationships related to the calculation of their fuel consumption is non-linear. On the other hand, a binary variable has been used to show the charging and discharging state of the storage and the on-and-off state of the gas turbines. Therefore, the problem considered in this article is a MILP problem. The results of this article are the proper planning of charging and discharging of the energy storage system with the proper planning of the power generation of different energy sources considering the network loads in two optimized and non-optimized scenarios. [ABSTRACT FROM AUTHOR]

Coal combustion in power plants for electric power generation produces millions of tons of residues that are generally disposed of in landfills or ponds occupying vast land, resulting in serious environmental pollution. Fly ash (FA) is one of the main solid wastes generated in coal-based thermal power plants, representing the largest fraction of coal combustion residues (65–95%). Unfortunately, the enormous amount of FA residue is utilized only partly, mainly in the cement industry and building materials field. An alternative approach to using FA is its incorporation into ceramic, glass and glass–ceramic production, aligning with circular economy principles and reducing the environmental footprint of both the energy and ceramic sectors. In this review article, the topics of the composition, properties, classification, and utilization of fly ashes from thermal power plants are discussed. The main objective of this work is a critical analysis of the experimental trials directed to the involvement of FA as a raw material in the fabrication of glass–ceramics and porous ceramic composites. [ABSTRACT FROM AUTHOR]

Hydrogen is expected to become a dominant energy vector in a scenario where renewable energies will prevail over other conventional sources. This suggests that beyond its conventional industrial applications, such as in the chemical industry, hydrogen is poised to find numerous additional uses, including serving as a fuel for internal combustion engines. Consequently, global demand is expected to surge significantly, necessitating the implementation of largescale hydrogen production units from renewable sources. This is particularly pronounced in Europe, where recent energy directives have set ambitious targets in this regard. Consequently, it becomes imperative to evaluate potential locations suitable for hosting these hydrogen production facilities. In this study, particular attention is directed towards photovoltaic-fed water electrolysis as a method for hydrogen production. This choice is informed by the maturity and affordability of these technologies, coupled with the abundant solar energy resource available in Southern Europe. To this end, it is utilized 23 years of hourly meteorological data obtained from the Portuguese Meteorological Service. This dataset enables the development of typical meteorological year files for nearly 90 stations across mainland Portugal. These files were inputted into a model simulating a 120 MWp photovoltaic plant, utilizing the System Advisor Model. The electricity generated by this plant was subsequently used to simulate the hydrogen production using an in-house developed model for the electrolyser. Finally, the simulation results were used to develop the first atlas for Solar Hydrogen production capacity and cost in Portugal. The techno-economic results indicate that annual specific hydrogen production can achieve values above 30 kg/kWp, with the levelized cost of hydrogen below 4.0 €/kg, especially, in the southern regions (Alentejo and Algarve) and the central-east area (Beira Interior). This makes these regions highly attractive for hosting large-scale photovoltaic hydrogen production plants and very competitive in the hydrogen market, especially with neighbouring countries like Morocco and Spain. [ABSTRACT FROM AUTHOR]

Stationary hydrogen energy-based power plants generating electricity to supply high-powered plug-in electric vehicles (PEVs) have recently become popular in renewable energy-based power plants. Besides, in a PEV charging station, various types of powered charge devices can be established such as DC fast chargers or 3.7 kW, 7.4 kW, 11 kW, and 22 kW AC chargers. This paper introduces a demand-side management-oriented optimal charging strategy that includes two stages for PEVs in a hydrogen energy-based microgrid. The paper focuses on two stages to execute an optimal charging of PEVs in compliance with their users' requests and satisfaction and considering the power system loading. It is assumed that there are three types of chargers in the PEV charging station and the users. In the first stage randomly created requests are classified by an ensemble learning classifier method that performs higher performance classification by combining the results from multiple classifiers in a machine learning classification. The second stage schedules the PEVs according to the classification results and users' requests. To test the proposed system, first random requests are created then they are sent to the classifier, and the results of classifiers are scheduled in each other. The demand-side management-oriented charge scheduling and managing strategy which includes the proposed two stages has been compared with non-managed cases. Case study results reveal that the proposed approach provides 52.1% peak load reduction and 72.3% valley filling improvement by the SOS algorithm. The results highlight the advantages of the proposed system in terms of peak reduction and valley filling. [Display omitted] • A new intelligent decision-maker method is proposed for DSM in a microgrid. • Proposed method is developed for a stationary hydrogen energy-based power plant. • The optimal DSM of EVs is investigated with a hybrid ML method. • RUSBoost and SOS Algorithms-based Hybrid Intelligent Decision Maker is developed. • It provides 52.1% peak load reduction and 72.3% valley filling improvement. [ABSTRACT FROM AUTHOR]

Electricity network operators undertake important responsibilities such as balancing electricity demand and supply, minimizing power outages, and making the necessary maintenance, repairs, and investments to provide safe and continuous energy. In this context, the most significant challenge encountered today is the need for a more immediate renewal of distribution grid expansion plans, owing to the rapid increase in energy demand and the grid integration of renewable energy power plants and electric vehicle charging stations. In order to find a solution to this issue, an active distribution network has been analyzed under five scenarios based on load demand forecasting. The artificial neural network method has been employed for the forecast of load demand, and the DigSilent Power Factory (DPF) model of the distribution network has been utilized to analyze the effects of scenarios. Connecting PV plants with capacities of 3 MW and 5 MW to different feeders in the distribution network, along with Hydrogen Energy Storage (HES) with a capacity of 1 MW to one feeder, has resulted in a reduction of the distribution transformer's occupancy rate from 79.8% to 70.6%. The contribution of a 1 MW HES system to the transformer occupancy rate was determined to be 1.3%. The results highlight the importance of considering the annual load demand forecast, as well as the network integration of PV power plants, electric vehicle charging stations, and hydrogen storage in grid expansion planning. • Load forecasting was made for feeders with the ANN model using the real load and meteorological data of the substation. • The grid model (power transformer, conductors, and demand load) was prepared in the DigSilent Power Factory (DPF) program. • The impact of HES, EV charging stations, and PV systems has been investigated in a grid expansion planning. • Grid expansion planning was analyzed through various scenarios considering load demand and load increase values. • The optimum placement and sizing of the DG were determined for the expansion planning of the distribution network. [ABSTRACT FROM AUTHOR]

The aim of this study was to find a way to improve earthquake resistance performance more effectively through various reinforcement methods between a cabinet bottom and concrete slab, which is a vulnerable connection in the event of earthquake. In order to improve the earthquake resistance performance of an electric cabinet, methods such as installing a vibration isolation device, increasing the number of connecting bolts between the cabinet bottom panel and base channel, welding a steel grid to the cabinet bottom panel, and so on, were considered and, in order to compare the performance in each case, a three-axis shaking table test was performed. As a result of comparing the seismic performance of each case according to the acceleration response, it was found that the reduction of seismic force was best when applying the vibration isolation device. However, there is a disadvantage in that the spatial and temporal limitations are large and the unit price is high for application in the field. For this reason, it is predicted that the method of ensuring the higher rigidity of an electric cabinet by increasing the number of connecting bolts, as proved through this study, would be a more economical and realistic seismic performance method in field applications. [ABSTRACT FROM AUTHOR]

To tackle the variability of distributed renewable energy (DRE) and the timing differences in load demand, this paper perfects the integrated layout of "source-load-storage" energy control in virtual power plants (VPPs). Introducing a comprehensive control approach for VPPs of varying ownerships, and encompassing load aggregators (LAs), a robust and cost-efficient operation strategy is proposed for VPP clusters. Initially, the influence of real-time electricity prices on cluster energy utilization is taken into account. Flexible shared electricity prices are formulated cluster-wide, based on the buying and selling data reported by each VPP, and are distributed equitably across the cluster. Following this, a flexible supply and demand response mechanism is established. With the goal of minimizing operational costs, this strategy responds to demand (DR) on the end-user side, instituting shifts and reductions in electricity and heat loads based on electricity and heat load forecasting data. On the supply side, optimization strategies are developed for gas turbines, residual heat boilers, and ground-source heat pumps to restrict power output, thus achieving economical and low-carbon cluster operations. Finally, the efficacy of the proposed optimization strategy is demonstrated through tackling numerous scenario comparisons. The results showcase that the proposed strategy diminishes operational costs and carbon emissions within the cluster by 11.7% and 5.29%, respectively, correlating to the unoptimized scenario. [ABSTRACT FROM AUTHOR]

Heavy rainfall has consistently acted as the primary catalyst for floods, resulting in numerous casualties and significant economic losses globally. Rainfall forecasting is accomplished by analysing existing rainfall data, which is then used to analyse the hydraulic system's features. Gaining an understanding of rainfall requirements is a crucial challenge for every location, particularly in the case of India, given its diverse geographical area, population, and other influencing factors that impact various demands. This study evaluated the rainfall data for a span of 1990-2021 in six districts of Kerala State, India. To match the rainfall data from all districts, we utilized both Kaumarasamy-distribution and Dagum-distributions. Various Probabilistic tests, were employed to comparing these distributions. The results revealed that, in Kasargod, the Kumarasamy distribution demonstrates superior goodness-of-fit with the lowest Kolmogorov-Smirnov statistic (0.0597) and Anderson-darling statistic (2.271). However, in Wayanad, Malappuram, Palakkad, Idukki, and Trivandrum, the Dagum distribution consistently exhibits the most accurate fit, evident from its lowest Kolmogorov-Smirnov statistics (0.07447, 0.05435, 0.0556, 0.03636, 0.04291) and favourable Chi-Squared statistics (19.471, 8.4907, 19.239, 5.7318, 7.5297). These results emphasize the regional variation in precipitation data and the suitability of specific distribution models for accurate representation across different locations. [ABSTRACT FROM AUTHOR]

We ask whether firms behave differently depending on the political party in charge, above and beyond responding to any actual differences in policy. We use the pollution abatement behaviour of U.S. Steam Electric Power Plants under the Clean Water Act as our case study. Exploiting the variation provided by the outcome of tightly contested gubernatorial elections, we provide causal evidence that large firms respond to the political 'colour' of the governor in the state they operate, even when neither the stringency nor the enforcement of the rules depend on it. Within a theoretical model of the interaction between the regulator and the regulated firms, we show that multiple equilibria arise, and the outcomes of the election provide an effective coordination device. This unexpected behaviour has real-world consequences and leads to significant differences in pollution levels. [ABSTRACT FROM AUTHOR]

Electricity is one of the most important needs in everyday life due to technological advances. So various efforts are needed to increase electricity production, one way is to build a power plant that can produce productive electricity so that this happens, one way to determine electricity productivity is the value of cycle efficiency. If the value of the cycle efficiency is higher in a generator, then the PLTG performance will be maximized. And if the cycle efficiency value gets smaller, it can be said that the PLTG's performance is not good. Therefore, to maintain PLTG performance, it is necessary to carry out an overhaul to maintain optimal PLTG performance. In this study using cycle efficiency to determine the increase in efficiency before and after overhaul at a load of 100 MW and the causes, after analyzing the efficiency of the brayton cycle increased from 41% to 42%, the cause was a decrease in turbine efficiency from 74 to 91% and compressor efficiency from 73 to 82% after overhaul the increase affected fuel consumption so that the requirement of kcal/kwh decreased to 3196.4 kcal/ Kwh. [ABSTRACT FROM AUTHOR]

For the aviation sector, it is extremely important to devise revolutionary solutions in the field of technology to restrain the potential impact of civil aviation on the environment to the level of the established strategic goals of ACARE (FlightPath2050). The introduction of innovative technologies (improvement of the combustion chamber, the introduction of electric hybrid power plants on airplanes, and the use of alternative aviation fuel) will ensure the sustainable growth of air transportation. To assess the effectiveness of advanced technologies, it is extremely important to have a model for calculating global/local emissions that takes into account the parameters of the flight path of conventional and hybrid aircraft, operational characteristics of the aircraft engine and hybrid powerplant, and the features of sustainable fuel. The improved module for calculating emission indices by combining the module for calculating the parameters of the flight path and the results of calculating the thermogas-dynamic calculation of the aircraft engine makes it possible to detect the influence of fuel consumption (engine thrust) on the values of the emission indices. This feature is representative for evaluating the efficiency of hybrid powerplants because the electrification of the aircraft fleet is primarily aimed at reducing fuel consumption. The analysis of simulation results reveals that the fuel consumption and EINOx are significantly reduced (for the climb stage – 25 %; for the descent stage – 30 %) for the hybrid AN26 compared to the conventional AN26. The specified operational measure, in the part of the low-pitch descend, significantly reduces EICO for the hybrid AN26 by an average of 50 % compared to the descend stage for the conventional trajectory. The results of calculations for the entire flight path demonstrate that the use of a hybrid power plant for An26 contributes to an average reduction of fuel consumption by 10 %, NOx emissions by 25 %, water vapor emissions by 10 %, and CO2 by 10 %. [ABSTRACT FROM AUTHOR]

The objectives of this study are to evaluate the technical and cost implications of retrofitting post-combustion Carbon Capture and Storage (CCS) in existing coal-fired power plants in Thailand, with a special focus on the Mae Moh plant managed by the Electricity Generating Authority of Thailand (EGAT). We undertake a detailed analysis using AspenPlus simulation models to determine the optimum capture cost per ton of CO2 and to examine the effects of various flue gas loads on CO2 capture performance and cost-effectiveness. The research reveals a key operational insight: as the flow rate of flue gas increases, the cost to capture a ton of CO2 decreases, indicating economies of scale in CCS operations. Furthermore, the study explores the potential for integrating solar photovoltaic (PV) technology as a renewable energy source, which shows promise in lowering Thailand's power sector emissions and operational costs. By comparing the levelized cost of electricity (LCOE) for solar PV against conventional coal-fired power generation and considering the country's favorable geographic and climatic conditions, solar PV emerges as an economically viable and environmentally sustainable alternative. The findings of this research aim to inform strategic energy policy decisions in Thailand, advocating for a transition to more sustainable energy systems and emphasizing the balance between environmental responsibility and economic feasibility. [ABSTRACT FROM AUTHOR]

Since the 1980s, modern shrimp aquaculture has been seriously affected by shrimp diseases worldwide. Shrimp aquaculture cooperates with scientists in the lab to develop biosecurity strategies and biotechnology products, such as specific-pathogen-free shrimp, vaccines and probiotics, to tackle the risk of shrimp disease. Securing shrimp health needs to manage the breeding environment, particularly water quality and water ecologies. Shrimp and water travel between the lab and the field for monitoring, experimentation and disease prevention. This article proposes the notion of hydro-social life to analyse how biosecurity strategies and biotechnology products are developed in the lab and deployed in the field by visiting private, governmental and university laboratories in the Vietnamese Mekong Delta, Hô' Chí Minh City, and Taiwan. I argue that scientists innovate biotechnology products to improve biosecurity strategies by reconfiguring hydro-social lives, like managing shrimp health and water quality. The development and deployment of biosecurity from the lab to the field are influenced by capitalist forms of life and social relations. [ABSTRACT FROM AUTHOR]

The promotion of electric vehicles (EVs) as sustainable energy sources for transportation is advocated due to global considerations such as energy consumption and environmental challenges. The recent incorporation of renewable energy sources into virtual power plants has greatly enhanced the influence of electric vehicles in the transportation industry. Vehicle grid integration offers a practical and economical method to improve energy sustainability, addressing the requirements of consumers on the user side. The effective utilisation of electric vehicles in stationary applications is highlighted by technological breakthroughs in the energy sector. The continuous advancement in science and industry is confirming the growing efficiency of electric vehicles (EVs) as virtual power plants. Nonetheless, a thorough inquiry is imperative to elucidate the principles, integration, and advancement of virtual power plants in conjunction with electric automobiles, specifically targeting academics and researchers in this field. The examination specifically emphasises the energy generation and storage components used in electric vehicles. In addition, it explores several vehicle–grid integration (VGI) configurations, such as single-stage, two-stage, and hybrid-multi-stage systems. This study also considers the various types of grid connections and the factors related to them. This detailed investigation seeks to offer insights into the various facets of incorporating electric vehicles into virtual power plants. It takes into account technology improvements, energy sustainability, and the practical ramifications for users. [ABSTRACT FROM AUTHOR]

Fuel cells can provide higher electrical conversion efficiency than traditional coal-fired power plants and electric generators based on internal combustion engines. In addition, high-efficiency solid oxide fuel cells (SOFC) have two specific advantages compared with other fuel cells as a result of their high-temperature operation. First, SOFCs are compatible with various fuels, ranging from hydrogen to CO and hydrocarbons. Second, SOFCs generate significant amounts of exhaust heat that can be used in combined heat and power systems. Furthermore, SOFCs have quiet and vibration-free operation, eliminating the noise typically associated with power generation systems. These fuel cells also produce no or very low levels of SO 2 and NO emissions. In this study, we numerically investigated the performance of a planar SOFC with different interconnector designs at various operating temperatures. Multiple parameters were considered, such as interconnection geometries, anode and cathode materials, operating temperatures, and flow rates. As a result, the horizontal sinusoidal flow channel geometry, operating temperature of 600 °C, hydrogen gas flow rate of 86.5 SCCM/min, and oxygen gas flow rate of 28.75 SCCM/min, NiO anode material, and LSCF cathode material provided the greatest performance in terms of energy and current density. • The SOFC with a horizontally sinusoidal design exhibits a higher current density. • A lower working temperature of 600 °C is more beneficial for SOFC performance. • The LSCF cathode and NiO anode materials for maximum power density. • The gas flow rates of H 2 increase, performance of the fuel cell also increases. • The gas flow rates of O 2 increase, performance of the fuel cell also increases. [ABSTRACT FROM AUTHOR]

A cogeneration power plant based on a solid oxide fuel cell with an aluminum-hydrogen reactor in which hydrogen is obtained from aluminum and water in the presence of alkali is described. The efficiency of such a reactor is 43,7%. The fuel utilization rate at a power plant with an electric capacity of 10 kW is 42,3%. The electrical efficiency of the fuel cell is 77.2%, the proportion of hydrogen oxidized in the anode is 80.5%. The specific consumption of conventional fuel for the production of electric energy is 0.283 kg reference fuel/kW·h, and for the production of thermal energy 78.7 kg reference fuel/GJ. Specific indicators are higher compared to similar indicators for cogeneration power plants running on hydrocarbon fuel, but less than in the Russian energy system – 0.33 kg reference fuel/kW·h. [ABSTRACT FROM AUTHOR]

From employment to education, many areas of our daily lives have gone virtual, including the virtual workplace and virtual classes. By comparison, the way we generate, deliver, and consume electricity is an anachronism. And the electric industry's outdated business model and regulatory framework are failing. For the last century-and-a-half, we have relied on ever larger power plants to generate the electricity we consume, often hundreds of miles away from the point of production. But the outsized carbon footprint of these power plants and the need to transmit their output over long distances threaten the electric grid's reliability, affordability, and long-term sustainability. There is hope, however. We here make the case for "virtual energy" as a diverse suite of widely dispersed resources that can combine and interconnect to provide, in the aggregate, the same services as a far-away conventional power plant. In computing, "virtual" refers to something simulated by software to appear real when, in fact, it does not exist. A virtual computer exists only in the cloud--and commonly consists of multiple computers that interconnect to maximize performance. In the same vein, solar panels, battery storage, electric vehicles, and other virtual energy resources (VERs) can coordinate to become virtual power plants that mimic, and ultimately replace, conventional power plants. Along the way, VERs offer a cost-effective strategy for making our electricity system more sustainable, more reliable, and more democratic. To realize virtual energy's full potential, however, requires a radical rethinking of how the electric grid is managed, and by whom. While largescale power plants connect to high-voltage transmission networks run by independent operators, most VERs tap into the low-voltage distribution grid. For much of the country, that grid is owned and operated by electric utilities who view virtual energy as a threat to their business model of delivering electricity they generate in-house. For VERs to renew America's ailing electricity sector, they must first gain easier access to the grid. To achieve this goal, we propose a novel approach to grid governance: the creation of Independent Distribution System Operators (IDSOs) to level the playing field and promote competition among traditional and virtual sources of energy. Incumbent utilities may be reluctant to embrace such radical change but, we argue, can be persuaded to enter into a grand bargain modeled after the great compromise over workers' compensation that reshaped relations between employers and employees at the dawn of the 20th century. [ABSTRACT FROM AUTHOR]

To ensure the safety of on-site operations in hydropower plants, this paper studies a reverse learning based risk warning model for on-site operations in hydropower plants. It selects indicators from four types of risks: public risk, unit equipment system equipment risk, electrical system equipment risk, and hydraulic construction risk to construct a risk warning indicator system for on-site operation of hydropower plants. The sensor system based on reverse learning is adopted, and the Linear List composed of sensor input sample points and expected output value is used to retrieve the position of measurement points so as to obtain accurate risk early warning index data. LSTM neural network is used to construct a risk warning model, the warning indicator data is used as the input of the model, and the risk warning level is used as the output of the model. Reverse output comparison is implemented through the propagation path to optimize different weight matrices and deviations, thereby obtaining the risk warning results of on-site operations in hydropower plants. At the same time, the particle swarm optimization algorithm based on reverse learning behavior is used to optimize the parameters of the early warning model and improve the accuracy of the model s early warning. The experimental results show that the model can accurately predict the risks of on-site operations in hydropower plants and ensure the safety of on-site operations. [ABSTRACT FROM AUTHOR]

The majority of countries use solar energy systems that are composed of several solar plants to generate electricity. It produces direct current (DC) electricity by converting sunlight. Power is produced using stationary solar panels. There is a small amount of efficiency loss in this system. To increase the efficiency of the sun-based board, a single-axis solar panel is then created and proposed that spins on a vertical axis (east–west) up to 180°. It is intended to increase the efficiency of the sun-based board, which will rotate in accordance with the direction of the sun on both a horizontal (North–South) and vertical (East–West) axis, up to 180°, for greater exposure to the sun than the single hub sun-based global positioning system. Moreover, each solar panel loses some percentage of its effectiveness due to dust pollution. In the majority of power plants, cleaning is done by hand. In most plants, the cleaning cycle is carried out physically. Therefore, the goal of this research is to increase the efficiency of the sun-powered board by attaching a cleaning framework to the board to naturally remove residue from its exterior over time. The proposed framework combines a dual-hub solar-powered global positioning system with a scheduled cleaning system in a single module. Efficiency is improved over stationary and single-axis solar trackers by using this integrated model. [ABSTRACT FROM AUTHOR]

Layout design and wake steering through wind plant control are important and complex components in the design and operation of modern wind power plants. They are currently optimized separately, but with more and more computational and experimental studies demonstrating the gains possible through wake steering, there is a growing need from industry and regulating bodies to combine the layout and control optimization in a co-design process. However, combining these two optimization problems is currently infeasible due to the excessive number of design variables and large solution space. In this article, we present a method that enables the coupled optimization of wind power plant layout and wake steering with no additional computational expense than a traditional layout optimization. We developed a geometric relationship between wind turbines to find an approximate optimal yaw angle, bypassing the need for either a nested or coupled wind plant control optimization. It also provides a significant and immediate improvement to wind power plant design by enabling the co-design of turbine layout and yaw control for wake steering. A small co-designed plant shown in this article produces 0.8% more energy than its sequentially designed counterpart. This additional energy production comes with no additional infrastructure, turbine hardware, or control software; it is simply the outcome of optimizing the turbine layout and yaw control together, resulting in millions of dollars of additional revenue for the wind power plants of the future. [ABSTRACT FROM AUTHOR]

For over 50 years Lake Licheńskie (LLi), central Poland, has been involved in the cooling system of two power plants (PP). Owing to the discharge of cooling waters the lake was prone to considerable environmental changes which involved its thermal structure, mixing regime and water parameters. In this study we investigated how the man‐made transformations affected greenhouse gas emissions (GHG; CH4 and N2O) from the lake. The GHG emissions in Lake Licheńskie were monitored at the deepest site from December 2014 to November 2015 and between March 2022 and February 2023. The values obtained were compared to reference lakes encompassing 10 natural and undisturbed inland and coastal lakes in Poland. Our results revealed that LLi was a net source of CH4 and N2O to the atmosphere but the fluxes were low. The mean annual diffusive fluxes were 0.21–0.38 mmol·m−2 d−1 for CH4 and 4.90–7.40 μmol·m−2 d−1 for N2O. The CH4 emissions were significantly lower than in most of reference lakes, while the N2O emissions were comparable. Therefore, the human intervention resulted in reduction of CH4 release from LLi but it had minor effect on the N2O. The most likely reason for the low direct fluxes of GHGs from the surface waters was the high flushing rate of the lake and export of dissolved gases to adjacent lakes and canals. Hence, the overall emission from the connected lake and canal system was not mitigated by the man‐made changes to the lake system. Plain Language Summary: CH4, and N2O are potent greenhouse gases (GHGs). Their emission from lakes is often stimulated by human intervention in the ecosystem. Lake Licheńskie, central Poland, represents a highly disturbed lacustrine system, which, together with a few other lakes, is a part of a cooling system of two electric power plants. Consequently, since 1960s the lake has received considerable discharge of cooling waters which changed lake water chemistry and hydrodynamics. In this study we tried to find out how these multifaceted changes affected greenhouse gas production and emission in the lake. For this purpose we collected water chemistry data and measured diffusive emissions of the GHGs from Lake Licheńskie and a few natural undisturbed lakes in Poland. The latter lakes served as reference lakes. Our data revealed that Lake Licheńskie emitted comparable amounts of N2O albeit less CH4 than natural lakes. This lower emission of CH4 in Lake Licheńskie was a result of the very high flushing rates of the lake by circulating cooling waters. The GHG emissions were most likely released further downwards in the water receiving canals. Key Points: Lake Licheńskie (Poland) has been highly transformed by long‐term discharge of the effluents from of a power plantLake Licheńskie shows lower diffusive emissions of CH4 than natural lakesGreenhouse gas emissions from Lake Lichenskie are more strongly related to a very high flushing rate than to thermal pollution [ABSTRACT FROM AUTHOR]

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The Jhongtun wind farm in the area of Penghu Archipelago is studied. The first part of the Jhongtun wind farm has been operated for 19 years, and the second part has been operated for 15 years. It is about time to evaluate the feasibility of this wind farm's re-powering process to promote its power production. The evaluated AEPs are 82.65 GWh/year and 107.32 GWh/year. With the current deployment, roughly 12% of the power is provided by the wind farm with a 600 kW wind turbine, and its AEP is 11.46 GWh/year. The newly proposed 3 MW wind turbine has the potential to provide 100% of the power needed for the entire Penghu Archipelago. [ABSTRACT FROM AUTHOR]

A feasibility study was carried out for the transition of typical power engineering objects, differing in thermal capacities and electric powers, from traditional fuel (coal, natural gas, fuel oil) to the combustion of biomass, composite liquid fuel, and generator gas. Three options for producing generator gas during gasification of biomass, composite liquid fuel, and coal were studied cash flows were calculated for the transition of each of the power plants under consideration to alternative fuel and the payback period for such a transition. Relative indicators of the efficiency of the generator gas were determined taking into account a set of significant parameters: heat of combustion, fuel consumption, anthropogenic emissions, ash residue, maximum combustion temperature, minimum ignition temperature, combustion initiation delay time, cost, technical and economic indicators of storage, transportation and fuel combustion, fire and explosion safety. [ABSTRACT FROM AUTHOR]

The energy consumption in the cold store is growing day by day, 70% of which is consumed by the refrigeration system. Meanwhile, a significant amount of electricity generated by power plants is wasted during off-peak periods. Demand-side management (DSM) provides a viable solution for addressing the problem of the time and space inconsistency between energy supply and consumption, hence improving overall system efficiency. In this paper, an artificial intelligence model is developed for accurate cooling load forecasting. On this basis, a peak shifting control strategy with two optional modes combining temperature setpoint control and operation mode control is then proposed to realize cost reductions. Taking a large-scale cold store as a case study, the cooling capacity supply and temperature variation within two typical working days are investigated to illustrate the feasibility and applicability of the strategy. Detailed thermodynamic and thermo-economic analyses of the proposed strategy are then carried out to demonstrate the control effect. The results show that both modes have good peaking performances and the average cost reduction rate of the two modes reaches 40% and 13.4%, respectively. [ABSTRACT FROM AUTHOR]

This article discusses the intermittent nature of renewable energy sources and electric vehicles for improved load frequency control mechanism of interconnected power system. This research also looks at the impact of communication latency on system stability and sustainability. The mathematical modelling and analysis of the studied proposed system, a two-area interconnected hybrid power system, includes a thermal plant, hydro plant, and gas plant in each area. Moreover, both control areas also incorporate sporadic solar and wind power plants as well as electric vehicles for case study purposes. A novel cascade fractional-order integral-derivative and tilt controller has been designed for the analysed system. A new modified Quasi-Opposition Reptile Search Algorithm (QORSA) is also proposed to optimise the different parameters of controller. To demonstrate its superiority, the QORSA is compared with some recent prominent meta-heuristic algorithms. Furthermore, the effectiveness and efficacy of the proposed control approach has been analysed in comparison with existing controllers as well as some other research work under diverse conditions like step and random disturbances. The comprehensive results studies show the overall better and improved dynamic performance analysis for anticipated hybrid power system. Finally, the proposed methodology is validated through real-time experimental analysis by means of Opal-RT platform for its practical feasibility. [ABSTRACT FROM AUTHOR]

In energy application technology, the anode part of the electrode is typically composed of carbon-coated materials that exhibit excellent electrochemical performance. The carbon-coated electrodes facilitate electrochemical reactions involving the fuel and the oxidant. Energy electrodes are used in stationary power plants to generate electricity for the grid. These large-scale installations are known as distributed generation systems and contribute to grid stability and reliability. Understanding the practical applications of energy materials remains a significant hurdle in the way of commercialization. An anode electrode has one key limitation, specifically with alloy-type candidates, as they tend to exhibit rapid capacity degradation during cycling due to volume expansion. Herein, biomass-derived carbon from sunflowers (seeds husks) via pyrolysis and then bismuth nanoparticles are treated with carbon via a simple wet-chemical method. The electrode Bi@C offers several structural advantages, such as high capacity, good cycling stability, and exceptional capability at the current rate of 500 mA g−1, delivering a capacity of 731.8 mAh g−1 for 200 cycles. The biomass-derived carbon coating protects the bismuth nanoparticles and contributes to enhanced electronic conductivity. Additionally, we anticipate the use of low-cost biomass with hybrid composition has the potential to foster environment-friendly practices in the development of next-generation advanced fuel cell technology. [ABSTRACT FROM AUTHOR]

Effective aggregation and rational allocation of flexible resources are the fundamental methods for solving the problem of an insufficient flexibility adjustment ability of a power system. The flexible scheduling resources of a distribution system are often small in scale and distributed mostly by different stakeholders. A virtual power plant (VPP) gathers small resources to participate in the day-ahead electricity market, but, due to the scale and characteristics of a VPP's internal flexible resources, it cannot reach the access threshold of a peak shaving market in some periods due to small differences. In order to solve the market bidding problem of a VPP limited by capacity, and to achieve economic goals, a virtual power plant operator (VPPO) not only needs to interact with internal subjects but also needs to interact with other subjects with flexible resources in the distribution network. In this study, an electric vehicle (EV) cluster is taken as the interactive object, and a day-ahead bidding strategy of a VPP with multi-level electric energy interaction is proposed. The VPP not only makes full-time game pricing for internal participants but also makes time-sharing bargaining with an EV operator. The validity and the rationality of the proposed strategy are verified by an example. [ABSTRACT FROM AUTHOR]

There are numerous natural outflows, 3 thermal baths, 9 disused geothermal wells, and 3 private companies operating in the Seferihisar geothermal system, including a power plant generating electricity. The potential of these resources is suitable for nonelectrical use of geothermal energy, such as greenhouse heating and thermal tourism. SWOT analysis method has been used to assess the pros and cons of the geothermal resource in Seferihisar, aiding the identification of suitable applications and investments for both present and future projects. The region is rich in terms of geothermal resources and has convenient access to both public and ware transport, which are described as strengths of the resource. However, poor management and an excess of licensed geothermal fields weaken the effective consumption of the system. A huge number of projects have led to opposition from environmentalist groups. The proven technology of geothermal energy has resulted in an increase in incentives and investment consolidations with governmental support. In the light of SWOT analysis, considering SO, ST, WO, and WT strategies, the untapped geothermal resources present in the Seferihisar geothermal system, combined with the natural attractions and cultural richness of the county, will contribute significantly to non-electrical/direct uses of the geothermal energy in the near future. [ABSTRACT FROM AUTHOR]

The supply of coal-fired thermal power plants with limestone as a sorbent in the flue gas desulfurization process highlights two key issues. Apart from the raw material quality adequate to meet the technological conditions of the installed desulfurization plants in thermal power systems with several potential production and user entities, the question of rational limestone supply arises. The paper presents a multi-attribute ranking model as a possible approach to solving such tasks. [ABSTRACT FROM AUTHOR]

Surveys of the costs of inputs assigned to pollution abatement (Stated Costs) have been the principal method used to estimate pollution abatement costs. While surveys have been widely used, problems with these surveys may adversely affect their ability to accurately measure pollution abatement costs. In this paper, we propose a method that does not depend on surveys of input costs. Instead, a nonparametric cost function that models the joint production of good and bad outputs is used to identify the cost of inputs assigned to pollution abatement (Revealed Costs). The increased input costs when the bad output is not freely disposable compared to input costs when the bad output is freely disposable constitute our estimate of the revealed cost of pollution abatement. Our model is illustrated using data from coal-fired electric power plants in the United States for 2000–2005. [ABSTRACT FROM AUTHOR]

In phase coordinates, a mathematical model of a three-winding asynchronous machine with two windings on the stator as a structural element of electric drives and asynchronous generators with inverter and inverter-capacitor excitation for autonomous electric power plants, oriented to explicit methods of numerical integration of the system of differential equations, has been developed. The model takes into account the displacement angle between two stator windings in the range of 360º and other important factors affecting the course of electromagnetic processes occurring in the machine. On the basis of the mathematical model, a program code was developed as a means of computer verification of machine operation modes. The results of computer study performed with the help of the code confirm the suitability of the mathematical model of a three-winding asynchronous machine to take into account the influence of the displacement angle between the stator windings and their simultaneous and single power supply during the operation of the machine in motor mode. [ABSTRACT FROM AUTHOR]

If an unexpected vibration or force is expected to be generated during operation, a vibration mount must be installed beneath the support system. A mass-block can be considered to reduce the structure basement fundamental frequency of the basement. Thus, the efficiency of a single-mount or mass-block can be enhanced by implementing a single-mount module called a mass-block integrated mount module (MIMM). This study addressed the tuning process of multiple mount modules in a supported system by evaluating the mount module using the proposed total performance index, building on a previous evaluation method comprising the first and second performance indices. This index was subsequently applied to assess the control capability of MIMM concerning both the self-excitation of an electric power plant and basement input. The extended 3-degrees-of-freedom (3-d.o.f.) electric power generator model was applied to determine the best selection of the mechanical properties for the MIMM over the various mechanical parameter settings (ranging between 10 and 1000% of the original parameters) of the two sub-mounts. The simulation results demonstrate a reduction in the total performance index from 8.2, as calculated in a previous study, to 0.2. The novelty of the optimal MIMM conditions is confirmed by the simultaneous enhancement of both performance indices. [ABSTRACT FROM AUTHOR]

Exergy is a thermodynamic concept that ponders the quality of energy. It evaluates the irreversibilities of a machine, demonstrating its capacity to perform work associated with energy conversion. This article focuses on directing public policies and vehicle development toward their most proper usage worldwide. In the urban mobility scenario, there is an obvious demand to decrease greenhouse gas (GHG) emissions. In addition, the internal combustion engine (ICE) experiences considerable energy losses through heat exchange through the radiator and exhaust flow gases, which are not considerable in battery electric vehicles (BEVs) since there are no exhaust gases subsequent to combustion, nor combustion itself. This work presents longitudinal dynamics simulations of passenger vehicles to understand the magnitude of exergy destruction in ICEVs and BEVs, considering the Brazilian and European Union electric energy mix. Overall, the method can be applied to any other country. The simulation and model parameters were configured to match production road vehicles commercialized in the Brazilian market based on different versions of the same model. Two vehicle dynamic duty cycles were used, one relating to urban usage and another to highway usage, resulting in an overall exergy efficiency of around 50–51% for BEVs considering the exergy destruction in power plants. In contrast, ICE has an average efficiency of 20% in the urban cycle and around 30% in the highway cycle. By comparing the overall equivalent CO2 emissions, it is possible to conclude that EVs in the European energy matrix produce more GHG than ICE vehicles running on ethanol in Brazil. Nevertheless, there are increasing uses of coal, natural gas, and oil thermal electric power plants, raising the question of how the transition may occur with a general increase in electrification since there is an increasing electric expenditure in all sectors of society, and the renewable energy plants may not meet all of the demand. [ABSTRACT FROM AUTHOR]