Capacity Of Power Plants Research Articles

Life cycle multi-objective (geospatial, techno-economic, and environmental) feasibility and potential assessment of utility scale photovoltaic power plants

Bridging the gap between sustainability theory and good practice of utility-scale photovoltaic deployment requires strategic planning considering multiple criteria. This study, for the first time, integrates meteorological and air quality parameters and lifecycle costs and environmental emissions with geospatial, techno-economic parameters in determining potential and suitability of photovoltaic power plants. For two system orientations, technical potential based on timeseries of meteorological parameters is estimated after development of irradiance and aerosol optical depth maps. Besides others, project lifecycle and water-use costs are introduced in levelized cost of electricity calculation. Site suitability is estimated based on site-specific techno-economic parameters and annual dust load. Lastly, comparison between lifecycle environmental impacts, considering twelve different indicators of proposed plant and natural-gas fired power plant (as reference) is performed for different capacity powerplants. Cumulative resource potential ranging from 7497 to 14141 GW is identified for Pakistan. Levelized Cost of Electricity is in range of 0.026–0.041 USD/kWh, highly competitive with global estimates and less than the residential tariff in the country. Major contribution (∼81%) to the cost estimates is made by capital generation whereas the second highest is by infrastructure-parity components (∼12%). With inclusion of aerosol optical depth in site suitability analysis, the extremely suitable class area decreases by 3.81%. Overall, net environmental impact avoided over the lifecycle increases with increase in rated capacity following a logistic curve, and is approximately 5 and 10 times higher for 50 and 100 MW power plants, respectively.

Evaluation and optimization of a horizontal well-triplet for CO2 plume geothermal harvest: Comparison between open and close reservoirs

Depleted oil/gas reservoirs can be used for CO2 sequestration and utilization; CO2 plume geothermal (CPG) production from a CO2 geological storage reservoir has emerged as a viable approach owing to its favorable thermodynamic properties. However, most oil/gas reservoirs are separated by faults into geological blocks, and the impact of these fault boundaries on CPG performance remains unclear. This study evaluated and compared the technical performances of a horizontal well-triplet placement and CPG operation in a thin geothermal reservoir between open and close boundaries. A meta-model simulation–optimization framework was also applied for the economic assessment of both systems. For each boundary system, 200 samples of the horizontal well-triplet design, including injection well overpressure, horizontal perforation length of injection and production wells, and distance between injection and production well, were derived from a 4D-parameter space constrained by particular ranges. These 200 samples of input parameters yielded 200 numerical models for the simulation of CPG operations. A suite of technical metrics, including lifespan, injected, produced, and stored CO2, recovered heat energy, and produced heat flux, were computed from the model simulations for technical performance evaluations. Meta models for economic objectives were developed based on the 200 input–output datasets and used in optimization. A multi-objective particle swarm optimization (MOPSO) approach was utilized to obtain the appropriate optimal designs of the well-triplet for the two boundary systems. The results indicated that performance of both systems was controlled by the well space, which was positively correlated to CO2 storage and total heat recovery but negatively to power plant capacity. High horizontal well lengths and overpressure facilitated CO2 storage, heat recovery, and plant capacity. The open system could generate much more overall profit than the close system owing to CO2 storage income.

Перспективні напрямки проведення модернізації засобів управління режимом навантаження в Об’єднаній енергосистемі України

Considered a promising possibility in the system of dispatching control of the load mode of the United energy system of Ukraine to ensure the processes of regulating the generating capacities of NPP stations. The new direction of construction of control systems using the United energy system of Ukraine mode will make it possible to abandon too expensive means of maneuverable generation, such as the construction of reserve stations with highly maneuverable TPPs that have high-speed start-up characteristics, as well as frequency control support systems using powerful storage batteries. Instead, it is proposed to use powerful automatically controlled electric boilers, previously included in the means of regulating the load regime of the combined energy system. This will contribute to the further development of the generating capacity of nuclear power plants, wind power plants, and thermal power plants, as well as to the resolution of issues related to ensuring the stability and sustainability of the combined power system. Keywords: Unified power system, powerful electric boilers, automated dispatch control system, daily electrical load schedule, main power transmission lines.

Development and comparative evaluation of integrated solar‐driven off‐grid energy systems with hydrogen production and storage options for sustainable buildings

AbstractThis study presents the development of a new solar energy‐based integrated system where hydrogen production, storage, and power generation and heat storage subsystems are designed in a combined manner to meet the energy demands of multiple buildings in a community. It is also comprehensively analyzed and assessed under various criteria comparatively. A comprehensive study is established for a community with 80 156 residential buildings in Southern Ontario, Canada. Solar‐driven three different cases are investigated, which cover (i) solar energy and grid‐assisted, (ii) solar energy‐driven system integrated with hydrogen subsystems, and (iii) solar‐driven system integrated with hydrogen subsystems and heat storage for both heating and cooling purposes. The studied cases are assessed over the energy and exergy efficiencies. The results of this study indicate that it is possible to achieve solar‐driven and off‐grid operating conditions with hydrogen and heat storage systems. Only about 15% of the energy demand can be met by solar energy without any energy storage options (Case 1). Case 2 shows that it can be achieved off‐grid solar energy system with 1100 MWp of solar power plant capacity with the integration of hydrogen as an energy storage option. In the case of using hydrogen and heat storage together, off‐grid operating conditions can be reached with 750 MWp of power plant capacity. The heat storage integration helps reduce the capacity of the photovoltaic power plant by 32%. Furthermore, hydrogen and heat storage options are needed to cover both cooling and heating demands simultaneously to provide sustainable buildings.

Multi-objective operation optimization analysis based on distributed energy sources

In the context of the determination and implementation of the dual carbon goal, it is an important trend of China’s energy strategy to incorporate a considerable proportion of renewable energy into the power grid. Therefore, energy consumption is gradually turning to new energy sources such as wind energy and wind energy. Considering the limitations of random, intermittent and anti-peak regulation of energy forms such as wind and light, a multi-objective optimization model of wind, light, fire and storage combined power generation and heating is built. This model can fine-tune and fill the valley by using the peak regulating capacity of thermal power plants and pumped storage devices, so that the whole system has stable power generation and heating capacity. The model is solved by multi-purpose particle swarm optimization algorithm based on maximum total generation and heating rotation and minimum generation and heating slope fluctuation. The calculation results show that the established model can effectively improve the wind and light consumption rates and reduce the peak set pressure of the thermal device.

Design And Simulation Of Solar Power Generation On Rooftops Towards Clean Technology

Various efforts are continuously being encouraged and pursued in order to achieve the clean energy transition program. The clear goal is to reach a renewable energy mix target of 23% by 2025. The use of electrical energy is increasing each year, but the availability of fossil energy as the majority fuel used in power generation is becoming limited. Indonesia, being located near the equator, experiences high solar radiation intensity. This potential can be utilized for harnessing solar energy as a power source. Additionally, the utilization of solar energy as an alternative source is more environmentally friendly as it reduces emissions from fossil fuel-based power generation. In this research, the design and planning of a solar power plant are conducted to create clean and environmentally friendly energy. The technical aspects are discussed and simulated using software. The author utilizes the Helioscope application for analyzing the feasibility of installing a solar power plant and conducting simulations. Based on the research results, by utilizing a roof area of 13,725 m2 and installing 2,305 solar modules with a capacity of 550 Wp per module, the solar power plant's capacity amounts to 1,267.8 kWp. The performance ratio is calculated to be 80.6%, and the energy production over a year is estimated at 1,695,000 MW.<script id="stacks-wallet-provider" type="text/javascript" src="chrome-extension://ldinpeekobnhjjdofggfgjlcehhmanlj/inpage.js"></script><script id="stacks-wallet-provider" type="text/javascript" src="chrome-extension://ldinpeekobnhjjdofggfgjlcehhmanlj/inpage.js"></script>

Demand response scheduling based on blockchain considering the priority of high load energy enterprises

In order to improve the consumption capacity of wind power plants and deal with the problems of high cost, high risk and low efficiency in traditional demand response, this paper proposes a new optimal scheduling strategy of demand response based on blockchain and the priority of high-capacity enterprises. Based on the analysis of different high-energy load types, the load response dispatching priority and hierarchical electricity price strategy are first put forward. Then the transaction framework of load aggregator, wind power, high-energy enterprise based on blockchain is constructed. Furthermore, the optimization model of load aggregator participating in dispatching is established, which is optimized by multi-objective particle swarm optimization (MOPSO) algorithm. Finally, through the simulation of a certain day in a certain area, the income of aggregators and the cost of wind power plants participating in this dispatching transaction before and after adopting this demand response dispatching scheme are analyzed and compared. It is verified that the demand response scheduling scheme proposed in this paper can effectively guarantee the revenue of load aggregators and improve the wind power consumption level.

Green energy hubs for the military that can also support the civilian mobility sector with green hydrogen

To support the energy transition in the area of defence, we developed a tool and conducted a feasibility study to transform a military site from being a conventional energy consumer to becoming an energy-positive hub (or prosumer). Coupling a green energy source (e.g., photovoltaic, wind) with fuel cells and hydrogen storage satisfied the dynamic energy consumption and dynamic hydrogen demand for both the civilian and military mobility sectors. To make the military sector independent of its civilian counterpart, a military site was connected to a renewable energy hub. This made it possible to develop a stand-alone green-energy system, transform the military site into a positive energy hub, and achieve autonomous energy operation for several days or weeks. An environmental and economic assessment was conducted to determine the carbon footprint and the economic viability. The combined installed capacity of the solar power plant and the wind turbine was 2.5 times the combined peak consumption, with about 19% of the total electricity and 7% of the hydrogen produced still available to external consumers.

Sustainable Ready-Mixed Concrete (RMC) Production: A Case Study of Five RMC Plants in Nigeria

This study aims to examine whether ready-mixed concrete (RMC) production in Nigeria is sustainable. This study proposes that RMC production will be sustainable, assuming the RMC plant, RMC products, plant management, RMC supply, RMC quality, and demand for RMC are sustainable. Based on a constructivist worldview, the proposition of RMC production’s sustainability was assessed by conducting a contextual analysis of five RMC plants in Lagos State, Nigeria. It was observed that the RMC plants required sustainability in power supply, plant output, and plant capacity. The plants have a sustainable supply of raw materials. The management methods and product control strategies were found to be unsustainable. Fair supply time, supply methods, and quality control systems were established in the findings. Challenges, such as administrative issues, economic problems, poor technology, and the absence of an innovative business model, influenced the sustainable demand for RMC products. This study concludes that alternative power supplies and methods such as just-in-time (JIT) purchasing systems and learning frameworks ought to be considered for RMC plants. Likewise, improving the ease of doing business would significantly help the sustainability of RMC production. This study presumes that RMC production is, as of now, not sustainable in Nigeria. Still, the sustainability of RMC production could be ensured through measures such as the reuse of waste, the adoption of innovative RMC production and delivery, and technological development.

Impact of Electric Vehicle Charging Infrastructure on the Electric Load Profile of Power System: The Case of Latvia

The number of electric vehicles (EVs) is increasing rapidly, and charging infrastructure must keep up with that pace. With increasing charging load, a power system must adapt to the increasing power demand. The research question of this study is: what impact of EV charging on electric load profile is depending on the number of EVs and the mix of charging units (slow, medium, fast)? How much of the total power demand of EVs can be supplied from renewables, i.e., wind and solar power, considering the installed capacities of these technologies, and the match between power production and consumption. Energy system modeling on an hourly basis for different scenarios of the mix of charging units, number of EVs, and installed capacities of wind power plants and solar PVs was used as the method. EnergyPLAN software was used as the modeling tool. The results show the total power demand, peak load, and share of EV charging power demand that can be covered by renewable power technologies for Latvia’s power system in the year 2050. The results are obtained for scenarios of different combinations of EV charging units.

Use of Synthetic Fuels Derived from Green Hydrogen and CO2 in Heavy-duty and Long-range Transport: the Case of Latvia

Decarbonization of the transport sector may be more challenging than it is for the power supply and heating sectors. Green hydrogen, i.e., produced from renewable energy sources, combined with CO2 captured from flue gases or air can be used to produce synthetic fuels, e.g., dimethyl ether (DME), ammonia, and jet fuel. These synthetic fuels can be used in heavy-duty and long-range transport, i.e., trucks, ships, and airplanes. The research question of this study is: how much green hydrogen and CO2 is needed to replace fossil fuel in the mentioned transport sectors with synthetic fuels? How much of the power demand for production of the synthetic fuels can be supplied from renewables, i.e., wind and solar power, considering the installed capacities of these technologies, and the excess power that can be used for the hydrolysis process. The case of Latvia for the year 2050 is used for the simulation of scenarios with various mixes of renewable power production. The simulation is done on an hourly basis for the whole year, using EnergyPLAN software as the modeling tool. The results show the total hydrogen and CO2 demand, the total power demand for hydrolysis of green hydrogen, and the share of the demand that can be covered by renewable power technologies. The results also include the costs of synthetic fuel supply for the considered transport sector. The results are obtained for scenarios of different combinations of installed capacities of wind power plants and solar PVs.

Profitability Assessment of Windfarm Overplanting in Spain

The efforts made by European institutions to decarbonise the electricity system over the last decade have led Spain to become the fifth country in the world in terms of wind power plant capacity in 2021. This major achievement is still far from being able to contain and limit CO2 emissions. By 2030, it is expected that, together with photovoltaic energy, Spain will reach 74 % of renewable generation in its electricity system. Wind technology is currently very mature in onshore wind farms and its relatively low cost makes this technology attractive to investors. However, the best wind sites were the first places to be occupied by the first turbine generations. On the other hand, newer wind farms occupy sites with less wind resource but have more efficient turbines. To improve the profitability of the wind farm and increase its production, the feasibility of other alternatives such as overplanting or storage is beginning to be investigated. Overplanting aims to optimise the use of the transmission system by increasing wind capacity above the transmission capacity limit. In this work, we measure the profitability of an overplanting strategy by quantifying the parameters that make profitable the investment. The developed model optimised the production of energy taking into account technical and financial parameters in order to cover a wide range of situations. We analysed the case of a specific site with 25 2 MW turbines with the Python tool PyWake. The results obtained show that for each new turbine the annual energy produced (AEP) grows by around 3.87 GWh per turbine added (a cut of 1.69 GWh due to congestion of the transmission system). The study shows improvements in profitability when the electricity price exceeds 70 €/MWh.

Review on Greenhouse Gases Emission in the Association of Southeast Asian Nations (ASEAN) Countries

The Association of the Southeast Asian Nations (ASEAN) region is a critical contributor to global development from an environmental perspective. This study has reviewed carbon emissions from energy generation, influence factors from the population, economic growth and renewable energy, emission and energy intensity projection, spatial distribution characteristics, and decarbonization strategy. This work utilizes a comparison methodology between ASEAN countries in the emission intensity and energy intensity in the future projection of electricity conditions in 2030 or 2040, as well as opportunities for reducing greenhouse gas (GHG) emissions as determined by the national policies of each government. The results show that Indonesia, Vietnam, Thailand, and Malaysia produce 79.7% of the electricity in the ASEAN region. As a developing country, Indonesia has the largest population and gross domestic product (GDP) but has the highest predicted emission intensity, of 0.97 CO2e/MWh, in 2030. Vietnam is predicted to have an emission intensity of about 3.56t-CO2e/cap and 0.747t-CO2e/GDP in 2030. Vietnam is expected to increase in energy intensity to 1241 MWh/GDP, while Brunei Darussalam has a high energy intensity of 11.35 MWh/cap. However, the capacity of solar power plants (more than 11 GW) and wind-power plants (2384 MW) have generally increased in ASEAN from 2015 to 2019, indicating the positive development of renewable energy source (RES) use. The national policies strongly influence the estimated GHG emission in ASEAN by aggressively replacing fossil fuels with RESs. Support, via government policies, can reduce the cost of electricity generation from RESs is needed to increase and enhance the installment of clean power generation systems. In future work, the research needs to consider the intermittent characteristics of variable RES in power system operation.

Efficient resource utilization of the electricity distribution sector using nonparametric data envelopment analysis and influential factors

This study aims to investigate the efficient resource utilization of the electricity distribution sector in Pakistan and identifies the influential factors affecting it. In Pakistan, there is excess production capacity and under-utilized power plants, which pose a challenge to the economy due to their burden on the exchequer account and the high power costs. The present study employs the most recent 11 distribution firms panel data from Pakistan for the period 2016–2020 to evaluate the performance ranking of distribution utilities. The study employs standard frontiers, composite indexes, and a novel DEA-windows analysis to measure the efficiency of the distribution utilities. The results of the analysis show that electricity sales, consumer density, and industrial consumers have a positive impact, while distribution losses have a negative association with the efficiency of the distribution utilities. These findings provide valuable insights for policymakers and industry stakeholders in improving the resource utilization and overall performance of the electricity distribution sector. The study highlights the implications of the results in terms of reducing greenhouse gas emissions, which are one of the main contributors to global warming. In conclusion, this study provides an essential contribution to the literature on efficient resource utilization in the electricity distribution sector in Pakistan.

Techno-economic analysis and life cycle analysis of e-fuel production using nuclear energy

Electrofuels, or e-fuels, are synthetic liquid hydrocarbon fuels which may be produced using carbon dioxide (CO2) and low carbon hydrogen (H2) as feedstock. They are of great interest because they have much lower carbon intensity compared to the conventional petroleum fuels and can utilize the existing fuel infrastructure owing to their ability to blend with or replace existing fuels. We modeled an e-fuel production process to produce low carbon jet, diesel, and naphtha using a reverse water gas shift process to produce synthesis gas, followed by a Fischer-Tropsch (FT) synthesis process. Nuclear energy is considered for e-fuel production due to its steady energy supply, near-zero carbon emissions, capability to produce hydrogen with high efficiency via high temperature electrolysis, and proximity to biogenic CO2 sources from nearby corn-ethanol plants in the United States. The modeled FT process achieved a high carbon conversion ratio of 99% by recycling CO2 and the use of oxy-combustion, and a process energy efficiency of approximately 70%. The life cycle greenhouse gases emissions are estimated to be 7 and −25 gCO2e/MJ, without and with steam coproduct credit, respectively, by using the Greenhouse gases, Regulated Emissions, and Energy use in Technologies (GREET®) model. Additionally, the process economics were evaluated for three scales corresponding to nuclear power plant capacities of 100, 400, and 1000 MWe, estimating a minimum fuel selling price (MFSP) of $3.61/gal ($0.95/L), $2.82/gal ($0.74/L), and $2.66/gal ($0.70/L) of FT fuel mix, respectively, by considering $3/kg of H2 tax credit prescribed in the recent Inflation Reduction Act.

Examination of the Hungarian Electricity Industry Structure with Special Regard to Renewables

The stability of electricity service mainly depends on two main factors. One of them is the country’s power plant capacity and electricity imports. Another factor is the network that delivers electricity to consumers. Recently, consumer electricity production has appeared as a third factor due to the spread of renewable energies. The article focuses on the transformation of the structure of Hungary’s electricity sources between 2010 and 2020. We used the concentration indicator to examine the structure of export–import deliveries with neighboring countries. We also analyzed the centralization of Hungary’s electricity-generating units and the composition of their fuels. In this article, we examined the increasingly widespread renewable energies, which are replacing the traditional—mainly fossil fuel—energy carriers. The relationship between coal, natural gas, nuclear, solar, wind, water, and bioenergy, as well as net imports, were analyzed using a Pearson correlation matrix. This article concludes that renewable energies will cause further transformation in the future, both in the structure of export–import and power plants. In electricity imports, green power is increasingly preferred. Electricity from renewable sources will account for an increasing share of electricity production. In the future, electricity production based on non-renewables will move toward power plants with low carbon dioxide emissions. On the other hand, it is also moving in the direction of fast-reacting power plants due to weather-dependent renewables. Annual system load peaks will continue to increase year after year in the future, thereby posing additional challenges to electricity generation and the electricity grid.

EFFICIENCY ANALYSIS OF USING TYPICAL AND ATYPICAL WIND ENERGY INSTALATIONS

The article analyzes the energy efficiency of typical wind turbines (Savonius, Musgrave, Evans, Darier, Magnus, Lentz) and non-typical wind turbines (carousel-petal, double, powerful wind turbines operating on the basis of the Magnus effect, stationary turbine-type wind turbines, airship wind turbines filled with helium ), Sklyarov wind turbine, wind generators, constructions of various wind energy types installations in terms of axis location – vertically axial or horizontally axial, the limit value of the coefficient of wind energy utilization (СWEU), the influence of the control voltage regulator on the reliability and durability of the wind power plant, effectiveness of using confusors and guides for increasing the energy of the wind flow, the efficiency of compact derivative gears and flying wind generators, protection against lightning and overvoltage’s and noise, coefficient of wind flow inhibition etc. It also has been analyzed the effectiveness of the shape of the wind wheel blade and the rotor, the influence of the average annual wind speed and the equivalent number of hours of nominal power generation on the decision-making on the installation of powerful wind turbines, the influence of the number of blades on the speed, the energy efficiency of the wind energy installation of the Sheer Wind company, Air Grey and stationary wind generators, protection against lightning and overvoltage, an approximate determination of the capacity of any wind power plant. It has been established that the speed of the rotor rotation in wind turbines of similar power differs by several times. The number, width, and length of the blades of classic wind turbines with a horizontal axis of rotation and the speed of rotation of the rotor of wind turbines similar in power, which differ by several times, were analyzed.

RELATIVE ASSESSMENT OF THE COST OF RESERVATION OF RENEWABLE ENERGY SOURCES

The generation of electricity by solar and wind power plants depends on natural conditions, and therefore there are problems with their participation in the process of balancing the modes of electric power systems (EPS). It is difficult for them to carry out the forecasted and approved hourly generation schedule for the next day with the specified accuracy. The UES is forced to keep a capacity reserve to compensate for deviations of renewable energy sources (EPS) from the projected generation schedule. Since these deviations can be both larger and smaller than the permissible ones, it is by this criterion that we can choose and form a means to balance the EPS regimes. The paper proposes a method for researching backup measures of renewable energy sources with unstable generation in EPS. The criterion of optimality for comparing RES reservation methods is their relative costs 
 Among the ways of reserving RES, system reserve is generally used (mainly the maneuverable capacities of thermal and hydroelectric power plants), but since it is not enough, it is suggested to use other means of reserving power available today: electrochemical electricity storage, hydrogen and biogas technologies.
 Mathematical models based on the theory of similarity and the criterion method have been developed to analyze the technical and economic efficiency of certain means of reservation. The criterion method is preferred due to the fact that, with minimal available initial information, it provides an opportunity to compare different methods of reserving RES generation and determine the optimal ones. The method makes it possible to assess their proportionality, as well as to determine the sensitivity of costs to the power of reservation methods.
 Criterion models have been formed that make it possible to build the dependence of the costs and reserve means of variable RES generation on the capacity of the reserve means.. Such dependencies make it possible to more reasonably choose certain reservation methods at the first stage in accordance with the characteristics and requirements of the UES. They can be clarified if the price indicators that are valid at the moment and for the near future are known.

The influence of some climatic factors on the development of solar energy in the Chernivtsi region

The thesis explores the influence of climatic factors on the development of solar energy in Chernivtsi region. Emphasis is placed on studying the impact of geographical location and the duration of the day on the formation of solar radiation and, as a result, on the capacity of solar power plants. It has been established that the capacity of solar power plants and the volume of electricity production depend largely on the duration of the day and the amount of solar radiation received by solar panels from the surrounding environment. The amount of direct and scattered radiation that reaches solar panels for electricity production is significantly affected by cloud cover (cloudiness). Therefore, considerable attention is given to the study of the influence of sky cloudiness on the efficiency of solar panels. Analysis of the data obtained from the meteorological station at Chernivtsi airport revealed that the highest degree of cloudiness in Chernivtsi region is observed during the winter months. Consequently, as a result of this research, it has been found that the mentioned factors significantly affect the capacity of solar panels and the volumes of electricity production. The most favorable period for solar energy production is summer, while the winter creates the least favorable conditions for its functioning. The study emphasizes the seasonal dependence of solar energy capacities in Chernivtsi region. Keywords: solar energy, climatic factors, cloudiness, solar radiation.

НАКОПИЧУВАЧІ ЕЛЕКТРИЧНОЇ ЕНЕРГІЇ

The article provides an analytical review of reverse-acting electric energy storage devices that can be used to solve systemic problems of the United Energy System of Ukraine. The need for the use of electric energy storage is due to the existing shortage of maneuverable capacities of the United Energy System and the construction of solar and wind power plants, which, due to the stochastic mode of operation, are a significant destabilizing factor. Due to the lack of market pricing mechanisms, the possibility of adjusting the rates of the "green" tariff, and the decrease in the cost of solar and wind power plant technologies, a rapid increase in their number and capacity has been observed in recent years. At the beginning of 2021, the installed capacity of solar power plants was 6.87 GW, and wind power plants – was 1.31 GW, and by 2030, their growth is planned to be 10.5 GW and 5.0 GW, respectively. Without adequate regulatory capacity, this can lead to catastrophic consequences, as happened in South Australia. The conducted review and analysis showed that the dominant technology of electric energy storage in the world is hydro-storage power plants, the implementation costs of which are about 260 USD/kWh. Compressed air energy storage is the cheapest technology but needs to be located near the energy systems of natural caves. Accumulator systems of energy storage are developing at a fast pace, the costs of their implementation are 311-520 USD/kWh with a tendency to decrease by 2030 by about 25%. They are the most promising for work in energy systems. These storage devices can be used to regulate frequency and power, reduce electricity flows, reduce voltage fluctuations in electrical networks, consolidate daily schedules of electrical loads, prevent overloads of electrical networks and transformers, increase the reliability of electricity supply, increase the stability of the operation of solar and wind power plants, as well as for commercial purposes in various segments of the electricity market of Ukraine. Keywords: energy system, electricity storage, power, capacity.