Pub Date : 2020-11-13DOI: 10.1109/USEC50097.2020.9281238
A. Khalyasmaa, E. Zinovieva
The basis for the automation of utilities’ industrial business processes is the subsystem of grid equipment record, within which the tasks of accounting for the grid hierarchy and installed equipment, keeping the transfer of each facility, storing an unlimited number of equipment characteristics with the possibility of further analysis are solved. The paper presents an analysis of existing methods of organizing business processes and processes for managing utilities’ plant assets in the Russian Federation. The paper presents the experience of organizing Business Process Management systems, based on various notations of Integrated Definition for Function Modeling, Business Progress Modeling Notation, Architecture of Integrated Information Systems, and also describes modern approaches to their engineering and implementation at energy enterprises. Within this study, the national experience of introducing Enterprise Resource Planning systems, their basic structure and operation principles are also analyzed as in the case of a distribution grid company. The possibility of using Rapid Deployment Solution-EPAM systems for the presented tasks is also assessed.
{"title":"Analysis of Russian Experience in Utilities’ Plant Assets Management","authors":"A. Khalyasmaa, E. Zinovieva","doi":"10.1109/USEC50097.2020.9281238","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281238","url":null,"abstract":"The basis for the automation of utilities’ industrial business processes is the subsystem of grid equipment record, within which the tasks of accounting for the grid hierarchy and installed equipment, keeping the transfer of each facility, storing an unlimited number of equipment characteristics with the possibility of further analysis are solved. The paper presents an analysis of existing methods of organizing business processes and processes for managing utilities’ plant assets in the Russian Federation. The paper presents the experience of organizing Business Process Management systems, based on various notations of Integrated Definition for Function Modeling, Business Progress Modeling Notation, Architecture of Integrated Information Systems, and also describes modern approaches to their engineering and implementation at energy enterprises. Within this study, the national experience of introducing Enterprise Resource Planning systems, their basic structure and operation principles are also analyzed as in the case of a distribution grid company. The possibility of using Rapid Deployment Solution-EPAM systems for the presented tasks is also assessed.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130691826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-13DOI: 10.1109/USEC50097.2020.9281211
V. Rybin, Georgii Y. Kolev, T. Karimov, V. Ostrovskii, O. Druzhina, Maria S. Sigaeva
Nowadays small unmanned surface vehicles (USV) can be assembled from low-cost components and provide cheap, easy-to-operate means for water cargo, bathymetry, exploration of oceanic resources, search and rescue operations, and water monitoring. One of the key parameters of such boats is their autonomous range. The capacity of the battery is the main feature that influences it. But also the choice of the propeller pitch and the cruise speed is of great importance because of nonlinear current consumption at different speeds. In this paper, we profile the propulsion system of a 1.2 m long boat operating with 2-blade high-speed and 3-blade low-speed propellers and with 22ah and 44ah batteries. By measuring the current consumption and the shaft revolutions rate in the test pool, we calculate the appropriate range of the boat at different speeds. Using the obtained data, one can easily estimate the range of the boat depending on the battery capacity.
{"title":"Estimating the Autonomy Range of the Battery-Powered Small Unmanned Surface Vehicle","authors":"V. Rybin, Georgii Y. Kolev, T. Karimov, V. Ostrovskii, O. Druzhina, Maria S. Sigaeva","doi":"10.1109/USEC50097.2020.9281211","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281211","url":null,"abstract":"Nowadays small unmanned surface vehicles (USV) can be assembled from low-cost components and provide cheap, easy-to-operate means for water cargo, bathymetry, exploration of oceanic resources, search and rescue operations, and water monitoring. One of the key parameters of such boats is their autonomous range. The capacity of the battery is the main feature that influences it. But also the choice of the propeller pitch and the cruise speed is of great importance because of nonlinear current consumption at different speeds. In this paper, we profile the propulsion system of a 1.2 m long boat operating with 2-blade high-speed and 3-blade low-speed propellers and with 22ah and 44ah batteries. By measuring the current consumption and the shaft revolutions rate in the test pool, we calculate the appropriate range of the boat at different speeds. Using the obtained data, one can easily estimate the range of the boat depending on the battery capacity.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117320573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-13DOI: 10.1109/USEC50097.2020.9281226
N. Shubin, Kirill A. Krasilnikov, M. Krasilnikov, F. Nepsha
As a result of the technological development of renewable energy systems, its adoption into microgrids become inevitable. However, in isolated and remote territories, the diesel generators are still the prevailing technology for the power supply. The use of combustion engines has a few significant drawbacks such as low energy efficiency and negative environmental footprint. Also, it slows down the development of remote areas. The integration of renewable generation in such grids requires the use of sophisticated control systems which creates an additional cost. In this regard, the platform solutions allow us to minimize investments and optimize the development process of applied control systems for microgrids of any configuration. One of such solutions is the A-Platform – the Russian programmable platform for the management of distributed energy systems, which is currently under development. To determine the requirements for the automated functions of the A-Platform, the paper identifies the needs of stakeholders, and with the considerations of their needs, the use cases are defined. In turn, the analysis of use cases allows us to formulate requirements for automated functions within the platform. To demonstrate the utility of the digital platform, a simulation model was developed with the use of Anylogic software and illustrated the effectiveness of one of the A-platform optimization module.
{"title":"Simulation of an Applied Microgrid Control System Based on a Digital Platform","authors":"N. Shubin, Kirill A. Krasilnikov, M. Krasilnikov, F. Nepsha","doi":"10.1109/USEC50097.2020.9281226","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281226","url":null,"abstract":"As a result of the technological development of renewable energy systems, its adoption into microgrids become inevitable. However, in isolated and remote territories, the diesel generators are still the prevailing technology for the power supply. The use of combustion engines has a few significant drawbacks such as low energy efficiency and negative environmental footprint. Also, it slows down the development of remote areas. The integration of renewable generation in such grids requires the use of sophisticated control systems which creates an additional cost. In this regard, the platform solutions allow us to minimize investments and optimize the development process of applied control systems for microgrids of any configuration. One of such solutions is the A-Platform – the Russian programmable platform for the management of distributed energy systems, which is currently under development. To determine the requirements for the automated functions of the A-Platform, the paper identifies the needs of stakeholders, and with the considerations of their needs, the use cases are defined. In turn, the analysis of use cases allows us to formulate requirements for automated functions within the platform. To demonstrate the utility of the digital platform, a simulation model was developed with the use of Anylogic software and illustrated the effectiveness of one of the A-platform optimization module.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114259150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-13DOI: 10.1109/USEC50097.2020.9281197
E. Gracheva, O. Naumov, Aleksei V. Beloglazov, A. Gorlov, Maxim A. Mikhaylov
The paper presents a models elaboration and development algorithm for determining the distribution laws of the low-voltage contact devices’ reliability index using the example of magnetic starters based on random samples during the device failures observations in operation. The modeling and calculation of the sample value indicators of the accumulated failure density in accordance with the operating time is presented, taking into account the randomly (using a random number generator) selected contact devices. As a calculations result, functional dependences of the low-voltage contact devices’ performance parameters on the number of on-off cycles for Gaussian, lognormal and exponential distribution laws were obtained, as well as for the Weibull distribution with the selective correlation rate determination for each of the distribution laws. It was found that the highest correlation rate equal to 0.9107, which characterizes the Gaussian law, is the reliability index of the applied distribution law. As a result of the research, the Gaussian law accuracy for low-voltage contact devices was confirmed as in the case of magnetic starters for an operation period of 10-12 years. A simulation model is presented that allows calculating the low-voltage electrical contact devices’ fixed failure rates from random samples.
{"title":"Modeling the Reliability Characteristics of Contact Devices of Low-Voltage Grid","authors":"E. Gracheva, O. Naumov, Aleksei V. Beloglazov, A. Gorlov, Maxim A. Mikhaylov","doi":"10.1109/USEC50097.2020.9281197","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281197","url":null,"abstract":"The paper presents a models elaboration and development algorithm for determining the distribution laws of the low-voltage contact devices’ reliability index using the example of magnetic starters based on random samples during the device failures observations in operation. The modeling and calculation of the sample value indicators of the accumulated failure density in accordance with the operating time is presented, taking into account the randomly (using a random number generator) selected contact devices. As a calculations result, functional dependences of the low-voltage contact devices’ performance parameters on the number of on-off cycles for Gaussian, lognormal and exponential distribution laws were obtained, as well as for the Weibull distribution with the selective correlation rate determination for each of the distribution laws. It was found that the highest correlation rate equal to 0.9107, which characterizes the Gaussian law, is the reliability index of the applied distribution law. As a result of the research, the Gaussian law accuracy for low-voltage contact devices was confirmed as in the case of magnetic starters for an operation period of 10-12 years. A simulation model is presented that allows calculating the low-voltage electrical contact devices’ fixed failure rates from random samples.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125268177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-13DOI: 10.1109/USEC50097.2020.9281188
A. Serov, D. Chumachenko, A. Shatokhin
In modern digital measurement devices to obtain samples in the signal measurement channel, analog-to-digital converters (ADCs) are applied. Real ADCs have finite resolution, which results in time domain to the quantization error effect (so called quantization noise). Regardless of the applied measurement method, the quantization noise results to measurement error of RMS, active power, complex spectrum and other. A research of influence on the ADC parameters (resolution, sampling frequency, input range, ADC architecture type) to the RMS measurement error is carried out. It is established that the most important ADC parameters are resolution and sampling frequency. The proposed RMS error estimating method is based on the application of a parabolic interpolation polynomial function (by the sampling frequency as a parameter). The interpolation polynomial coefficients are determined as a result of simulation modeling which is performed in Matlab 7. Random functions were applied to simulate the quantization noise. Analytical expressions are obtained that allows to estimate the RMS measurement error from the signal parameters and ADC parameters by using the proposed error estimation method. The simulation results show that the proposed method of the error calculation allows at least to reduce the RMS error estimate (in comparison with “worst case” method) at least to 30 %. The proposed approach for the error estimation can be used for sinusoidal signals or polyharmonic signals the shape of which is close to sinusoidal. The application of the proposed approach can be extended to the problem of active power and complex spectrum measurement.
{"title":"Application of Random Functions to Assess the Influence of Quantization Error on the Signal RMS","authors":"A. Serov, D. Chumachenko, A. Shatokhin","doi":"10.1109/USEC50097.2020.9281188","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281188","url":null,"abstract":"In modern digital measurement devices to obtain samples in the signal measurement channel, analog-to-digital converters (ADCs) are applied. Real ADCs have finite resolution, which results in time domain to the quantization error effect (so called quantization noise). Regardless of the applied measurement method, the quantization noise results to measurement error of RMS, active power, complex spectrum and other. A research of influence on the ADC parameters (resolution, sampling frequency, input range, ADC architecture type) to the RMS measurement error is carried out. It is established that the most important ADC parameters are resolution and sampling frequency. The proposed RMS error estimating method is based on the application of a parabolic interpolation polynomial function (by the sampling frequency as a parameter). The interpolation polynomial coefficients are determined as a result of simulation modeling which is performed in Matlab 7. Random functions were applied to simulate the quantization noise. Analytical expressions are obtained that allows to estimate the RMS measurement error from the signal parameters and ADC parameters by using the proposed error estimation method. The simulation results show that the proposed method of the error calculation allows at least to reduce the RMS error estimate (in comparison with “worst case” method) at least to 30 %. The proposed approach for the error estimation can be used for sinusoidal signals or polyharmonic signals the shape of which is close to sinusoidal. The application of the proposed approach can be extended to the problem of active power and complex spectrum measurement.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131870760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-13DOI: 10.1109/USEC50097.2020.9281165
V. Bolgov, D. Kalyuzhniy
The power quality and related losses are topical problems in modern power engineering. There is a need to identify disturbing sources and assess their impact onto power quality in a point of evaluation on the basis of online measurements. The paper describes the accuracy of a brand new method for the assessment of voltage unbalance emissions in three-phase three-wire networks. Although power supply usually relies on the four-wire grids, the medium-voltage and maritime networks are based on the three-wire configuration. The modern techniques assessing voltage unbalance emission may generally be applied only to the cases with a single dominating emission or need invasive tests. The paper proposes a way to assess voltage unbalance emission from multiple sources by means of voltage and current measurements in a single point of evaluation and data about network configuration and component parameters. The paper describes the method in general terms and demonstrates high accuracy of the proposed solution as regards a methodological error and an impact of input data uncertainty.
{"title":"Accuracy of Voltage Unbalance Source Assessment in Three-Phase Three-Wire Electrical Networks","authors":"V. Bolgov, D. Kalyuzhniy","doi":"10.1109/USEC50097.2020.9281165","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281165","url":null,"abstract":"The power quality and related losses are topical problems in modern power engineering. There is a need to identify disturbing sources and assess their impact onto power quality in a point of evaluation on the basis of online measurements. The paper describes the accuracy of a brand new method for the assessment of voltage unbalance emissions in three-phase three-wire networks. Although power supply usually relies on the four-wire grids, the medium-voltage and maritime networks are based on the three-wire configuration. The modern techniques assessing voltage unbalance emission may generally be applied only to the cases with a single dominating emission or need invasive tests. The paper proposes a way to assess voltage unbalance emission from multiple sources by means of voltage and current measurements in a single point of evaluation and data about network configuration and component parameters. The paper describes the method in general terms and demonstrates high accuracy of the proposed solution as regards a methodological error and an impact of input data uncertainty.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130602841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-13DOI: 10.1109/USEC50097.2020.9281208
V. Manusov, M. Nazarov
The paper presents the optimization of energy consumption modes by generating consumers in an autonomous electric power system using alternative energy sources. A method and an algorithm for optimizing energy consumption is proposed that minimizes the financial costs of several electrical consumers having choice of power supply from renewable (water resources) and alternative (wind and solar) energy sources, including an energy storage device. A hallmark of the model is the energy storage device accounting, due to some unpredictability of alternative energy sources generation and a disconnect with the central power system. The optimization is based on a linear programming method with variable constraints on a daily interval. The study object is the autonomous power system of the Pamirs, where computational experiments were carried out and the conditions for obtaining optimal results at different capacities of the energy storage devices were compared. The study showed that there is no need for optimization during the summer period, since the entire electrical load can be covered by the region’s hydroelectric power plants. The research results and computational experiments are given in tables and figures. Their systematic analysis shows that each generating consumer can independently minimize their electric power costs and maximize interchange gain.
{"title":"Energy Consumption Conditions Optimization of the Autonomous System Based on Carbon-Free Energy","authors":"V. Manusov, M. Nazarov","doi":"10.1109/USEC50097.2020.9281208","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281208","url":null,"abstract":"The paper presents the optimization of energy consumption modes by generating consumers in an autonomous electric power system using alternative energy sources. A method and an algorithm for optimizing energy consumption is proposed that minimizes the financial costs of several electrical consumers having choice of power supply from renewable (water resources) and alternative (wind and solar) energy sources, including an energy storage device. A hallmark of the model is the energy storage device accounting, due to some unpredictability of alternative energy sources generation and a disconnect with the central power system. The optimization is based on a linear programming method with variable constraints on a daily interval. The study object is the autonomous power system of the Pamirs, where computational experiments were carried out and the conditions for obtaining optimal results at different capacities of the energy storage devices were compared. The study showed that there is no need for optimization during the summer period, since the entire electrical load can be covered by the region’s hydroelectric power plants. The research results and computational experiments are given in tables and figures. Their systematic analysis shows that each generating consumer can independently minimize their electric power costs and maximize interchange gain.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129706964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-13DOI: 10.1109/USEC50097.2020.9281252
Y. Kazantsev, G. Glazyrin, Sergey Shayuk, D. Tanfilyeva, Oleg Tanfilyev, V. Fyodorova
This paper investigates optimal control of hydro unit active power. The dynamics of hydraulic turbine as control object is characterized as non-minimum phase with transients dominated by the water hammer effect, characterized by alternating pressure waves in conduits leading to active power change in the opposite direction to the control action. The research focuses on design and tests of controller with optimal exponential control law minimizing active power initial negative excursion due to above mentioned water hammer phenomenon. Developed optimal controller incorporates the control action rate calculation and guide vane speed limitation, therefore is suitable for implementation in real control systems, i.e. speed governors and AGCs. The article presents the comparison of proposed control law and linear one. The optimal set points of controller were derived and validated with the help of nonlinear model of hydro unit. Field tests along with simulation proved its better performance than existing active power controllers in terms of overshoot minimization.
{"title":"Hydro Unit Active Power Controller Minimizing Water Hammer Effect","authors":"Y. Kazantsev, G. Glazyrin, Sergey Shayuk, D. Tanfilyeva, Oleg Tanfilyev, V. Fyodorova","doi":"10.1109/USEC50097.2020.9281252","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281252","url":null,"abstract":"This paper investigates optimal control of hydro unit active power. The dynamics of hydraulic turbine as control object is characterized as non-minimum phase with transients dominated by the water hammer effect, characterized by alternating pressure waves in conduits leading to active power change in the opposite direction to the control action. The research focuses on design and tests of controller with optimal exponential control law minimizing active power initial negative excursion due to above mentioned water hammer phenomenon. Developed optimal controller incorporates the control action rate calculation and guide vane speed limitation, therefore is suitable for implementation in real control systems, i.e. speed governors and AGCs. The article presents the comparison of proposed control law and linear one. The optimal set points of controller were derived and validated with the help of nonlinear model of hydro unit. Field tests along with simulation proved its better performance than existing active power controllers in terms of overshoot minimization.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133634378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-13DOI: 10.1109/USEC50097.2020.9281236
V. Zinurov, M. Nikandrova, V. Kharkov
The paper deals with a pressing issue of intensive development of thermal energy storage. This task is especially relevant for modern and promising technologies, for example, alternative energy, electric and hydrogen fuel cell vehicles, etc. The work considers the topical technologies of thermal energy storage systems. A detailed description of several implemented projects related to heat storage (Drake Landing Solar Community and Ice Bear) are represented. It has been shown that the main problems of development and widespread implementation of thermal energy storage are high capital and operating costs. From the brief review of the existing thermal energy projects, it was found that they mainly aimed at solving the problems of air conditioning, heating, reducing peak energy consumption, and supporting renewable energy generation. An impact of the current politics on the development of innovative technologies in the energy sector was considered. It was shown that the most significant factors affecting the R&D and scaling of thermal energy storage technologies are stimulating instruments (grants, privileges, etc.) and customs instruments.
{"title":"Assessment of Thermal Storage Technologies in Energy Sector","authors":"V. Zinurov, M. Nikandrova, V. Kharkov","doi":"10.1109/USEC50097.2020.9281236","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281236","url":null,"abstract":"The paper deals with a pressing issue of intensive development of thermal energy storage. This task is especially relevant for modern and promising technologies, for example, alternative energy, electric and hydrogen fuel cell vehicles, etc. The work considers the topical technologies of thermal energy storage systems. A detailed description of several implemented projects related to heat storage (Drake Landing Solar Community and Ice Bear) are represented. It has been shown that the main problems of development and widespread implementation of thermal energy storage are high capital and operating costs. From the brief review of the existing thermal energy projects, it was found that they mainly aimed at solving the problems of air conditioning, heating, reducing peak energy consumption, and supporting renewable energy generation. An impact of the current politics on the development of innovative technologies in the energy sector was considered. It was shown that the most significant factors affecting the R&D and scaling of thermal energy storage technologies are stimulating instruments (grants, privileges, etc.) and customs instruments.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122506224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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