Journal articles on the topic 'Electric power production – Geographic information systems'
To see the other types of publications on this topic, follow the link: Electric power production – Geographic information systems.
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Electric power production – Geographic information systems.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Wang, Qiong, and Yan Li. "Research on Simulation of Distribution Network Engineering Scene Based on 3D GIS Technology." Wireless Communications and Mobile Computing 2022 (January 31, 2022): 1–9. http://dx.doi.org/10.1155/2022/7736655.
Full textAbstract:
With the rapid development of the power system and the increasing complexity of the power grid structure, users’ demand for information-based management of the power distribution network is growing, and the need to improve various power production service standards is becoming increasingly urgent. Geographic information systems (GIS) are a natural combination of geographic and data attributes that are particularly well suited to the management of urban pipeline systems such as distribution and telecommunication networks. This paper discusses the current application characteristics and challenges of 3D GIS in the power system. A 3D graphic analysis model of the power grid and its realization method are proposed using 2D GIS and scene simulation technology combined with object-oriented design method. The problems that exist in current urban distribution facility management are solved in this paper through the effective integration of information construction and distribution facility management, and the goal of refined management is achieved on this basis. More and more complex 3D spatial data can be processed more realistically and intuitively with 3D GIS.
2
Tian, Dong, Min Zhang, Xuejian Wei, Jing Wang, Weisong Mu, and Jianying Feng. "GIS-Based Energy Consumption and Spatial Variation of Protected Grape Cultivation in China." Sustainability 10, no. 9 (September 12, 2018): 3248. http://dx.doi.org/10.3390/su10093248.
Full textAbstract:
This paper compares the difference in energy consumption in different sub-patterns and features of energy consumption structures used in protected grape production systems using statistical data. Then, spatial characteristics between different production modes based on geographic information systems are also analyzed. The results reveal that the types of energy consumption include steel, iron wire, water, chemical fertilizer, pesticides, electric power, organic fertilizer, plastic films, and labor. The total energy consumption for protected grape production was 210,534.3 MJ ha−1 in 2011, 211,504.6 MJ ha−1 in 2012, and 222,571.8 MJ ha−1 in 2013. From the perspective of cultivation modes, early ripening production and late ripening production consumed more energy than rain-shelter production; in terms of facility types, the total energy input of both vinyl tunnels and solar greenhouses were always higher than rain-shelter greenhouses. Indirect and non-renewable energy consumption were higher than that of direct and renewable energy, which accounted for 90% of energy consumption. Spatial analysis showed that the values of Moran’s I were all positive for the three years, which means protected grape input had a positive spatial autocorrelation. Therefore, we should adjust the energy input structure and choose more sustainable production modes to improve the sustainability of the production of protected grapes.
3
Gnagbolou, Yao, Macaire B. Agbomahena, Gabin Koto N’gobi, and Dr Maurel Richy Aza-gnandji. "Climate Vulnerability of Photovoltaic Energy Systems using GIS: Case of the Plateau Department." International Journal of Engineering and Advanced Technology 12, no. 2 (December 30, 2022): 67–74. http://dx.doi.org/10.35940/ijeat.b3921.1212222.
Full textAbstract:
Benin has a large potential (3.5-5.5 kWh/m2 /day) for solar photovoltaic energy production. This daily energy production, which mainly depends on solar radiation, also varies considerably, depending on climatic parameters. The Plateau department is an industrial zone where mainly clinker and cement are mined and processed. In such an environment of dust production, meteorological data are very dynamic and act as input parameters or sometimes disruptors of the photovoltaic energy conversion chain. The aim of this paper is to determine the appropriate location of the photovoltaic field for optimal production of electrical energy, in the plateau department of Benin. The analysis is based on the multicriteria decision-making method (MCDM) and Analytic Hierarchical Process (AHP), using a Geographic Information System (GIS). ArcGIS 10.8 software was used to classify and weight the different vulnerability criteria (Global Horizontal Irradiation, Temperature, Wind Speed, Wind Direction, Precipitation, Relative Humidity, Cloud cover, and Aerosol), in order to determine the optimal photovoltaic power generation area by overlaying the layers. The result shows that solar irradiation is the most important criterion for better production of photovoltaic energy whose weight of 46.06% is the highest, and aerosol (dust), the lowest weight of 2.43%, considerably reduced energy production. The northern zone from 7°35’0″N-7°39’0″N of the commune of Ketou is therefore the best site for optimal production, considering the parameters studied.
4
Agostinelli, Sofia, Fabrizio Cumo, Meysam Majidi Nezhad, Giuseppe Orsini, and Giuseppe Piras. "Renewable Energy System Controlled by Open-Source Tools and Digital Twin Model: Zero Energy Port Area in Italy." Energies 15, no. 5 (March 1, 2022): 1817. http://dx.doi.org/10.3390/en15051817.
Full textAbstract:
The present paper deals with an infrastructure digitization policy to optimize maintenance processes and energy efficiency to transform port areas to ZED (Zero Energy District). The Lazio Region started the process for all its ports in 2020. The Anzio port started and developed as a pilot project as it is a particularly representative sample for the Mediterranean Sea reality due to its geomorphological conformation. The study aimed to develop energy-saving procedures and strategies and integrate production systems from Renewable Energy Systems (RESs) for sustainable mobility. In the article, these strategies are described in detail and energy analysis is carried out, starting from the current state and demonstrating the potential energy self-sufficiency of the infrastructure. Finally, the investigation’s potential utilizing a Digital Twin (DT) of the area is highlighted. Furthermore, the BIM (Building Information Modeling) and GIS (Geographic Information System) combining possibility to maximize the energy efficiency measures beneficial impact are discussed.
5
Kalyan, Sumit, and Qian (Chayn) Sun. "Interrogating the Installation Gap and Potential of Solar Photovoltaic Systems Using GIS and Deep Learning." Energies 15, no. 10 (May 19, 2022): 3740. http://dx.doi.org/10.3390/en15103740.
Full textAbstract:
Non-renewable-resource consumption and global greenhouse-gas (GHG) emissions are critical issues that pose a significant threat to sustainable development. Solar energy is a promising source to generate renewable energy and an appealing alternative electricity source for households. The primary goal of this research is to detect the rooftops that have no solar photovoltaic (PV) system deployed on them but that receive moderate to high solar-energy radiation using the Geographic Information System (GIS) and deep-learning techniques. Although various studies have been conducted on this subject, not many addressed these two issues simultaneously at a residential level. Identifying the installed solar PV systems in a large area can be expensive and time-consuming work if performed manually. Therefore, the deep-learning algorithm is an emerging alternative method to detect objects using aerial images. We employed the Single-Shot-Detector (SSD) model with the backbone of residual neural network 34 (ResNet34) to detect the solar PV systems and used GIS software to compute solar isolation and calculate the electricity production estimate (EPE) of each rooftop. Our results show that the SSD model detected 6010 solar panels on 4150 properties with an accuracy of 78% and observed that there were 176 Statistical Area 1s (SA1s) that had no rooftops with solar PV systems installed. Moreover, the total electricity production from the suitable area was estimated at over 929.8 Giga Watt-hours (GWhs) annually. Finally, the relation between solar-PV-system density and EPE was also identified using the bivariant correlation technique. Detecting the existing solar PV systems is useful in a broad range of applications including electricity-generation prediction, power-plant-production management, uncovering patterns between regions, etc. Examination of the spatial distribution of solar-energy potential in a region and performing an overlay analysis with socio-economic factors can help policymakers to understand the explanation behind the pattern and strategize the incentives accordingly.
6
Milosavljević, Dragana D., Tijana S. Kevkić, and Slavica J. Jovanović. "Review and validation of photovoltaic solar simulation tools/software based on case study." Open Physics 20, no. 1 (January 1, 2022): 431–51. http://dx.doi.org/10.1515/phys-2022-0042.
Full textAbstract:
Abstract Photovoltaic (PV) systems are an excellent solution to meet energy demand and protect the global environment in many cases. With the increasing utilization of the PV system worldwide, there is an increasing need for simulation tools to predict the PV system’s performance and profitability. This research includes testing and comparison of PV tools: photovoltaic geographical information system (PVGIS), PVWatts, SolarGIS, RETScreen, BlueSol, PVsyst, HelioScope, PV*SOL, Solarius PV, Solar Pro, PV F-Chart, PolySun, solar advisor model (SAM), and hybrid optimization model for electric renewables (HOMER), based on experimental data obtained from fixed on-grid 2 kWp PV system in 2019. The PV system is part of a research project related to the examination of the PV system operation in real climatic conditions in Niš. This research investigates the most appropriate PV software for PV systems design by testing the most commonly used PV tools. It was accomplished by comparing experimental data obtained by a 2 kWp PV system in Niš and estimated data obtained from different PV tools. The study shows that annually, the experimentally measured average daily solar irradiation on the inclined plane was 5,270 Wh/m2/day, and the lowest deviation of the simulation results compared to experimental measurements was obtained by SolarPro. Total annual electricity production from the given system was 2455.621 kW h, and the lowest deviation of the simulation results compared to experimental measurements was obtained by PVGIS. By analyzing and publishing the actual solar irradiation and PV power output data, this study could help researchers to increase the PV systems modeling accuracy.
7
Malagnino, Remo Alessio. "Performance analysis of photovoltaic plants installed in dairy cattle farms." Journal of Agricultural Engineering 46, no. 2 (June 30, 2015): 62. http://dx.doi.org/10.4081/jae.2015.455.
Full textAbstract:
Electric production from renewable resources, such as solar photovoltaic (PV), is playing an increasingly essential role in the agricultural industry because of the progressive increase in the energy price from fossil fuels and the simultaneous decrease in the income deriving from farming activities. A central issue in the sustainable diffusion of PV technologies is represented by the actual energy efficiency of a PV system. For these reasons, a performance analysis has been carried out in order to assess the potentials offered by different PV plants within a defined geographical context with the aim of investigating the impact of each component has on the PV generator global efficiency and defining the main technical parameters that allow to maximise the annual specific electric energy yield of an architectonically integrated plant, installed in a dairy house, compared to a ground-mounted plant. The annual performances of three grid connected PV plants installed in the same dairy cattle farm have been analysed: two are architectonically integrated plants - <em>i.e.</em>, a rooftop unidirectional and a multi-field systems (both 99 kW<sub>p</sub>) - and the other is a ground-mounted plant (480 kW<sub>p</sub>). Furthermore, the electrical performances, estimated by the photovoltaic geographical information system (PVGIS), developed by the EU Joint Research Centre, and by an analytical estimation procedure (AEP), developed on the basis of a meteo-climatic database related to the records of the nearest weather station and integrated by the components’ technical specifications, have been compared with the actual yields. The best annual performance has been given by the ground-mounted PV system, with an actual increase of 26% and in the range of 6÷12% according to different estimations, compared to the integrated systems, which were globally less efficient (average total loss of 26÷27% compared to 24% of the ground-mounted system). The AEP and PVGIS software estimates showed a good level of reliability for mean deviations between the annual actual and estimated electrical power yields have been equal to 11.5% for each PV system given the actual irradiation’ s uncertainty during the examined year. The main technical parameters, crucial to maximise the energy yield from a ground-mounted PV system to an integrated one, have been identified in the Tilt and Azimuth angles. Indeed, once a variance of 3÷4% in the global efficiency has been confirmed when the type of PV system is changed, in the case of the unidirectional integrated PV plant, the high roof pitch and the almost South orientation guarantee a solar energy increase up to 18% higher than that obtainable on the horizontal plane and similar to the increase estimated for the ground-mounted generator (+20%). Hence, integrated PV systems, besides reaching the same levels of energy efficiency as those ground-mounted, are also more <em>sustainable</em> than the latter. This is true providing that there are both a suitable orientation and an accurate design, especially to prevent the PV panels’ warming during summer, on an already available surface that is, however, functional to the roof’s architecture.
8
Coban, Hasan Huseyin, Wojciech Lewicki, Radosław Miśkiewicz, and Wojciech Drożdż. "The Economic Dimension of Using the Integration of Highway Sound Screens with Solar Panels in the Process of Generating Green Energy." Energies 16, no. 1 (December 23, 2022): 178. http://dx.doi.org/10.3390/en16010178.
Full textAbstract:
One of the research areas related to renewable energy sources is the search for new applications for currently used technologies. An important postulate is to achieve the synergy effect by including the existing infrastructure in this process. The innovation described in this article is the integration of solar cells into a modular sound barrier on the highway. The contribution of this article is mainly based on the introduction of the potential feasibility of the first Turkish solar highway, describing the installation of PV systems based on a multi-criteria evaluation (azimuth angle, loss of shade, and dirt). The aim of the study is to determine the economic dimension by examining the costs of implementing such an investment and answering the question concerning the efficiency of solar cells on sound barriers. The research took into account various scenarios regarding the shadow effect and inclination of solar panels and their impact on solar energy production in the example of a given case study, an identified urban area. The research is limited to the model for assessing the feasibility of solar cells on sound barriers based on NPV and the essence of the relationship regarding the LCOE averaged electricity costs. In this study, the function and technical parameters of solar cells are not specified, but the article is limited to the basic information and characteristics required to investigate the payback period and profitability of an investment. Research has shown that if the investment is carried out in accordance with the proposed model, the expected amount of energy produced is 62,257 kWh per year. This value corresponds to the average consumption of electricity in a household by 24 apartments for a given destination, or to providing energy for a selected electric vehicle for one year of its operation, at the same time leading to a significant reduction of CO2. The presented research can find practical application in the area of developing a strategy for the development and popularization of renewable energy sources while increasing the use of the existing road infrastructure, presenting an important postulate in promoting this type of solution for other geographic destinations.
9
Alhammad, Abdulaziz, Qian (Chayn) Sun, and Yaguang Tao. "Optimal Solar Plant Site Identification Using GIS and Remote Sensing: Framework and Case Study." Energies 15, no. 1 (January 3, 2022): 312. http://dx.doi.org/10.3390/en15010312.
Full textAbstract:
Many countries have set a goal for a carbon neutral future, and the adoption of solar energy as an alternative energy source to fossil fuel is one of the major measures planned. Yet not all locations are equally suitable for solar energy generation. This is due to uneven solar radiation distribution as well as various environmental factors. A number of studies in the literature have used multicriteria decision analysis (MCDA) to determine the most suitable places to build solar power plants. To the best of our knowledge, no study has addressed the subject of optimal solar plant site identification for the Al-Qassim region, although developing renewable energy in Saudi Arabia has been put on the agenda. This paper developed a spatial MCDA framework catering to the characteristics of the Al-Qassim region. The framework adopts several tools used in Geographic Information Systems (GIS), such as Random Forest (RF) raster classification and model builder. The framework aims to ascertain the ideal sites for solar power plants in the Al-Qassim region in terms of the amount of potential photovoltaic electricity production (PVOUT) that could be produced from solar energy. For that, a combination of GIS and Analytical Hierarchy Process (AHP) techniques were employed to determine five sub-criteria weights (Slope, Global Horizontal Irradiance (GHI), proximity to roads, proximity to residential areas, proximity to powerlines) before performing spatial MCDA. The result showed that ‘the most suitable’ and ‘suitable’ areas for the establishment of solar plants are in the south and southwest of the region, representing about 17.53% of the study area. The ‘unsuitable’ areas account for about 10.17% of the total study area, which is mainly concentrated in the northern part. The rest of the region is further classified into ‘moderate’ and ‘restricted’ areas, which account for 46.42% and 25.88%, respectively. The most suitable area for potential solar energy, yields approximately 1905 Kwh/Kwp in terms of PVOUT. The proposed framework also has the potential to be applied to other regions nationally and internationally. This work contributes a reproducible GIS workflow for a low-cost but accurate adoption of a solar energy plan to achieve sustainable development goals.
10
Ballance, A., D. Stephenson, R. A. Chapman, and J. Muller. "A geographic information systems analysis of hydro power potential in South Africa." Journal of Hydroinformatics 2, no. 4 (October 1, 2000): 247–54. http://dx.doi.org/10.2166/hydro.2000.0022.
Full textAbstract:
Electrification can reduce the dependence on combustible fuels and therefore also reduce the concomitant health risks. Hydro power is one possible method of generating electric power close to the potential consumers, thereby cutting out expensive reticulation costs in widely spread rural areas. For sustainable electricity generation there must be stream flows of sufficient flow rates down significant slopes. A preliminary assessment of hydro power potential in South Africa was undertaken by estimating actual energy potential calculated from digital maps of slope and runoff. Coefficients of variation and low flow indices proved good potential measures of flow variability and risk. The methodology allowed rapid identification of micro- and macro-hydro power potential. Micro-hydro power potential identification was calculated from run of river and local flow, while macro-hydro power generation needs storage and thus cumulative river flows were used. The steeper and more humid slopes of the eastern escarpment, and parts of the southern escarpment near Cape Town, showed the best potential for both micro- and macro-hydro power (with annual energy potential values in excess of 107 kWh yr−1 and 109 kWh yr−1, respectively). This preliminary assessment was intended to lead to further more detailed and in-field assessments of hydro power generating capacity.
11
Salem, Tárik S., Karan Kathuria, Heri Ramampiaro, and Helge Langseth. "Forecasting Intra-Hour Imbalances in Electric Power Systems." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9595–600. http://dx.doi.org/10.1609/aaai.v33i01.33019595.
Full textAbstract:
Keeping the electricity production in balance with the actual demand is becoming a difficult and expensive task in spite of an involvement of experienced human operators. This is due to the increasing complexity of the electric power grid system with the intermittent renewable production as one of the contributors. A beforehand information about an occurring imbalance can help the transmission system operator to adjust the production plans, and thus ensure a high security of supply by reducing the use of costly balancing reserves, and consequently reduce undesirable fluctuations of the 50 Hz power system frequency. In this paper, we introduce the relatively new problem of an intra-hour imbalance forecasting for the transmission system operator (TSO). We focus on the use case of the Norwegian TSO, Statnett. We present a complementary imbalance forecasting tool that is able to support the TSO in determining the trend of future imbalances, and show the potential to proactively alleviate imbalances with a higher accuracy compared to the contemporary solution.
12
Zhang, Tong, Ke He Wu, and Wei Li. "Research and Design of the Security Area Classification Model of Electric Power Information System." Advanced Materials Research 341-342 (September 2011): 519–23. http://dx.doi.org/10.4028/www.scientific.net/amr.341-342.519.
Full textAbstract:
Because of the special position of electric power industry in national economy and social life, electric power information security has been given particular attention. In recent years, the security defense of Electric Power Information System has been all under the principle of security area classification, which applies different security defense measures for the information systems in different security level. However, because of lacking theory guidance, the recent method of security area classification is not in accord with the requirements of real production and management, and security threaten occurs at times. In order to meet the requirements of real production and management and the needs of security area classification defense in Electric Power Information System, based on the theory of network business security, a new security area classification model of Electric Power Information System has been proposed, and the access rules of the information transmission and sharing between different security areas have also been proposed. The new security area classification model can provide theoretical basis for security area classification in Electric Power Information System, and can deal with the conflict between the requirements of real production and the needs of information security.
13
Toledo-Orozco, Marco, Carlos Arias-Marin, Carlos Álvarez-Bel, Diego Morales-Jadan, Javier Rodríguez-García, and Eddy Bravo-Padilla. "Innovative Methodology to Identify Errors in Electric Energy Measurement Systems in Power Utilities." Energies 14, no. 4 (February 11, 2021): 958. http://dx.doi.org/10.3390/en14040958.
Full textAbstract:
Many electric utilities currently have a low level of smart meter implementation on traditional distribution grids. These utilities commonly have a problem associated with non-technical energy losses (NTLs) to unidentified energy flows consumed, but not billed in power distribution grids. They are usually due to either the electricity theft carried out by their own customers or failures in the utilities’ energy measurement systems. Non-technical energy losses lead to significant economic losses for electric utilities around the world. For instance, in Latin America and the Caribbean countries, NTLs represent around 15% of total energy generated in 2018, varying between 5 and 30% depending on the country because of the strong correlation with social, economic, political, and technical variables. According to this, electric utilities have a strong interest in finding new techniques and methods to mitigate this problem as much as possible. This research presents the results of determining with the precision of the existing data-oriented methods for detecting NTL through a methodology based on data analytics, machine learning, and artificial intelligence (multivariate data, analysis methods, classification, grouping algorithms, i.e., k-means and neural networks). The proposed methodology was implemented using the MATLAB computational tool, demonstrating improvements in the probability to identify the suspected customer’s measurement systems with error in their records that should be revised to reduce the NTLs in the distribution system and using the information from utilities’ databases associated with customer information (customer information system), the distribution grid (geographic information system), and socio-economic data. The proposed methodology was tested and validated in a real situation as a part of a recent Ecuadorian electric project.
14
Gao, De Quan, Yi Ying Zhang, and Xiang Zhen Li. "The Internet of Things for Electric Vehicles: Wide Area Charging-Swap Information Perception, Transmission and Application." Advanced Materials Research 608-609 (December 2012): 1560–65. http://dx.doi.org/10.4028/www.scientific.net/amr.608-609.1560.
Full textAbstract:
Electric vehicle (EV) is an emerging type of mobile intelligent power consumption device and energy storage terminal in Smart Grid. In order to solve automation and intelligence support problem for wide area electric vehicles charging-swap services, we make full use of technology. we analyze practical demands of electric vehicle charging-swap networks operation service scenarios and define the Internet of Things (IoT) architecture for electric vehicles for wide area unified operations and monitoring management in this paper. Then, we design a perception integration model for battery packs real-time information collection in mobile scenes. We also present a multimode collaborative communications method to implement large scale interconnection and intercommunication among electric vehicles, charging-swap devices and operation center. Finally we develop operations and monitoring platform demo for cross-regional electric vehicle charging-swap networks management using Geographic Information Systems (GIS) and Service-Oriented Architecture (SOA).
15
R. Alnaab, Ismaeil, Harwan M. Taha, Zainab A. Abdulwahab, and Mohammed Salah Al-Radhi. "Performance comparison between fixed tilt angle and solar tracking systems at Basra governorate: A case study." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 1 (April 1, 2022): 184. http://dx.doi.org/10.11591/ijeecs.v26.i1.pp184-193.
Full textAbstract:
Theoretical <span lang="EN-US">calculations and online system simulations using PVWatts and global solar atlas simulators, were conducted in this study to find the difference in solar power production between fixed solar power systems and tracking systems at Basra Governorate. The research included the analysis of geographical location and weather conditions and their effect on output power. The reliant power resource types and power generation of the southern region of Iraq as well as load demands were demonstrated and discussed in this research. Furthermore, the sun path, solar angles and solar radiations were considered in this study, in addition to the mathematical calculations of optimum tilt angles. The methodology used in this study was based upon theoretical and online measures of real-time weather factors, solar angles, solar radiations and model properties of the examined system. The results and factors of different systems including: peak sun hours per day, dc to ac derate factors, tilt angles, solar radiations and power production were compared to multiple similar research elements that were accomplished around the same region and some other countries. The study concluded that solar tracking system absorbs more radiations and produces an annual production of 15–30% higher than fixed tilt angle system.</span>
16
Zatserkovnyi, V., L. Plichko, О. Prylipko, O. Nikolaienko, and T. Muzhanova. "SUBSTANTIATION OF THE APPROPRIATENESS OF APPLYING GEOGRAPHIC INFORMATION SYSTEMS IN LANDSCAPE-ECOLOGICAL MONITORING." Visnyk of Taras Shevchenko National University of Kyiv. Geology, no. 1 (88) (2020): 98–105. http://dx.doi.org/10.17721/1728-2713.88.14.
Full textAbstract:
Modern cities are characterized by such negative effects of civilization as urban densification, the pollution of air, water, soil, increasing noise and vibration pollution level, heat islands, the impact of magnetic, electric, ionization fields, etc. There is an unprecedented speed and scale of using various natural resources and contaminating the environment with production and consumption wastes. One of the efficient mechanisms of counteracting these negative effects is landscape-ecological monitoring (LEM) of the present urban ecological infrastructure (constructions and objects designed for protection, restoration and improvement of the natural environment) which is meant to provide the compensating resistance to the consequences of anthropogenic impact. LEM is significant when developing the evidence-based urban environmental policy and optimizing the environmental management system. Taking effective managerial decisions on the improvement of urban environmental situation requires complete and accurate information about basic natural conditions. The research focused on systematic gathering of data on an area mostly belongs to the field of landscape-ecological mapping. The authors have substantiated the necessity of using geographic information systems (GIS) in LEM and presented a model of assessing information gain which can be obtained when applying GIS in LEM. This model enables to assess the reduction of entropy (enhance information content) of LEM system by applying GIS. According to the authors' estimation, the introduction of GIS to LEM will enable to reduce entropy (uncertainty) of a system almost by half, that indicates the need of applying GIS in LEM.
17
Filimonov, A. G., N. D. Chichirova, A. A. Chichirov, and A. A. Filimonovа. "Implementaon of digital economy elements in electric power industry." Safety and Reliability of Power Industry 11, no. 2 (July 23, 2018): 94–102. http://dx.doi.org/10.24223/1999-5555-2018-11-2-94-102.
Full textAbstract:
Energy generation, along with other sectors of Russia’s economy, is on the cusp of the era of digital transformation. Modern IT solutions ensure the transition of industrial enterprises from automation and computerization, which used to be the targets of the second half of the last century, to digital enterprise concept 4.0. The international record of technological and structural solutions in digitization may be used in Russia’s energy sector to the full extent. Specifics of implementation of such systems in different countries are only determined by the level of economic development of each particular state and the attitude of public authorities as related to the necessity of creating conditions for implementation of the same. It is shown that a strong legislative framework is created in Russia for transition to the digital economy, with research and applied developments available that are up to the international level. The following digital economy elements may be used today at enterprises for production of electrical and thermal energy: — dealing with large amounts of data (including operations exercised via cloud services and distributed data bases); — development of small scale distributed generation and its dispatching; — implementation of smart elements in both electric power and heat supply networks; — development of production process automation systems, remote monitoring and predictive analytics; 3D-modeling of parts and elements; real time mathematic simulation with feedback in the form of control actions; — creating centres for analytical processing of statistic data and accounting in financial and economic activities with business analytics functions, with expansion of communication networks and computing capacities. Examples are presented for implementation of smart systems in energy production and distribution. It is stated in the paper that state-of art information technologies are currently being implemented in Russia, new unique digital transformation projects are being launched in major energy companies. Yet, what is required is large-scale and thorough digitization and controllable energy production system as a multi-factor business process will provide the optimum combination of efficient economic activities, reliability and safety of power supply.
18
Ethmane, I. A., M. Maaroufi, A. K. Mahmoud, and A. Yahfdhou. "Optimization for Electric Power Load Forecast." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (October 1, 2018): 3453. http://dx.doi.org/10.11591/ijece.v8i5.pp3453-3462.
Full textAbstract:
Load flow studies are one of the most important aspects of power system planning and operation. The main information obtained from this study comprises the magnitudes and phase angles of load bus voltages, reactive powers at generators buses, real and reactive power flow on transmission lines, other variables being known. To solve the problem of load flow, we use the iterative method, of Newton-Raphson. Analysis of the found results using numerical method programmed on the Matlab software and PSS/E Simulator lead us to seek means of controlling the reactive powers and the bus voltages of the Nouakchott power grid in 2030 year. In our case, we projected the demand forecast at 2015 to 2030 years. To solve the growing demand we injected the power plants in the system firstly and secondly when the production and energy demand are difficult to match due to lack of energy infrastructures in 2030.It is proposed to install a FACTS (Flexible Alternative Current Transmission Systems) system at these buses to compensate or provide reactive power in order to maintain a better voltage profile and transmit more power to customers.
19
Sultan, Vivian, and Brian Hilton. "A Spatial Analytics Framework to Investigate Electric Power-Failure Events and Their Causes." ISPRS International Journal of Geo-Information 9, no. 1 (January 16, 2020): 54. http://dx.doi.org/10.3390/ijgi9010054.
Full textAbstract:
The U.S. electric-power infrastructure urgently needs renovation. Recent major power outages in California, New York, Texas, and Florida have highlighted U.S. electric-power unreliability. The media have discussed the U.S. aging power infrastructure and the Public Utilities Commission has demanded a comprehensive review of the causes of recent power outages. This paper explores geographic information systems (GIS) and a spatially enhanced predictive power-outage model to address: How may spatial analytics enhance our understanding of power outages? To answer this research question, we developed a spatial analysis framework that utilities can use to investigate power-failure events and their causes. Analysis revealed areas of statistically significant power outages due to multiple causes. This study’s GIS model can help to advance smart-grid reliability by, for example, elucidating power-failure root causes, defining a data-responsive blackout solution, or implementing a continuous monitoring and management solution. We unveil a novel use of spatial analytics to enhance power-outage understanding. Future work may involve connecting to virtually any type of streaming-data feed and transforming GIS applications into frontline decision applications, showing power-outage incidents as they occur. GIS can be a major resource for electronic-inspection systems to lower the duration of customer outages, improve crew response time, as well as reduce labor and overtime costs.
20
Munkhbat, Uranchimeg, and Yosoon Choi. "GIS-Based Site Suitability Analysis for Solar Power Systems in Mongolia." Applied Sciences 11, no. 9 (April 21, 2021): 3748. http://dx.doi.org/10.3390/app11093748.
Full textAbstract:
In this study, we employed a geographic information system (GIS)-based approach to identify sites suitable for large-scale solar photovoltaic (PV) power plant installations in Mongolia. Accordingly, cells of 30 × 30 m were used, and data based on seven criteria, including annual global horizontal radiation, annual average temperature, elevation, slope, slope direction (aspect), and distances from main roads and major power lines, were collected for each cell. GIS layers for these seven criteria were then converted into rated value layers using four grades. The weightings applied to the seven criteria were determined, using an analytical hierarchy process, by ten solar field experts. By combining the seven rating value layers with the weightings, a site suitability map was developed, using good, fair, low, and poor suitability grades. The results showed that sites graded as good, fair, low, and poor accounted for 3.27%, 53.06%, 42.59%, and 1.08% of the total surface area, respectively. Good sites were predominantly located in the southern and central regions of Mongolia. As the current demand for electric power in southern and central regions is low and high, respectively, we concluded that the central region of Mongolia should be prioritized for installing PV power plants.
21
Kowalski, Gregory J., and Mansour Zenouzi. "Selection of Distributed Power-Generating Systems Based on Electric, Heating, and Cooling Loads." Journal of Energy Resources Technology 128, no. 3 (March 8, 2006): 168–78. http://dx.doi.org/10.1115/1.2213275.
Full textAbstract:
A generalized thermodynamic model is developed to describe combined cooling, heating, and power generating systems. This model is based on reversible power generation and refrigeration devices with practical, irreversible heat exchanger processes. It provides information on a system’s performance and allows easy comparisons among different systems at different loading conditions. Using both the first and second laws as well as the carbon dioxide production rate allows one to make a first-order system assessment of its energy usage and environment impact. The consistency of the exergy destruction rate and the first law performance ensures that the thermodynamic system boundaries are correctly and completely defined. The importance of the total thermal load to the required power ratio (HLRP) as a scaling parameter is demonstrated. A number of trends for limited conditions can be delineated even though the reported results confirmed that generalized trends are not identifiable because of the systems’ complexities. The results demonstrate that the combined vapor compression∕absorption refrigeration has higher first law utilization factors and lower carbon dioxide production rate for systems with high refrigeration to total thermal load ratios for all HLRP values. Fuel cell systems outperform engine systems for large refrigeration load applications. An illustration of combining these results to an economic analysis is presented.
22
Solovyev, R., A. Kolomeichenko, S. Cheranev, M. Gerasimov, and I. Gribov. "Modular design of diesel-electric tracked tractor with high degree of automation." Journal of Physics: Conference Series 2061, no. 1 (October 1, 2021): 012051. http://dx.doi.org/10.1088/1742-6596/2061/1/012051.
Full textAbstract:
Abstract The prospective diesel-electric tracked tractor shall have a modular design, integrating the power frame, auxiliary systems, and control system. The tractor will have the following basic modules: a track module comprising an electric motor, gearbox, brake system, electric motor power casing; a diesel generator module consisting of an internal combustion engine of the power corresponding to the tractor’s traction class and a power generator. The article substantiates the need for a diesel-electric tracked tractor with a high degree of automation and unmanned control capability, which will be in demand in modern Digital Agriculture. The stages of technological change in global agriculture are presented. The paper outlines the advantages of tracklaying system and electromechanical transmission; functional diagram and target indicators of some technical characteristics of a diesel-electric tracked tractor with the electromechanical transmission; capabilities and functions of information and control digital, intelligent systems that are to be implemented in a diesel-electric tracked tractor for digital agriculture production.
23
Shpenst, V. A., O. Yu Morozova, and A. A. Beloshitskiy. "COMPARISON OF DOMESTIC UNMANNED AIRCRAFT SYSTEMS AS DIAGNOSTIC TOOLS FOR ELECTRIC POWER FACILITIES." Kontrol'. Diagnostika, no. 274 (April 2021): 58–63. http://dx.doi.org/10.14489/td.2021.04.pp.058-063.
Full textAbstract:
Latest methods of power facilities diagnostic and the methods of accidents prevention presume the work of the team who personally inspect all the details, which is very time-consuming. A good alternative to this may be unmanned aircraft systems (further on – UAS) to be used for remote monitoring and search for defects of the equipment. This method of UAS is already well-known and some Russian companies (“ZALA”, “Geoscan”, “Unmanned Systems”, etc.) offer this service. Although the civil sector of the UAS market is lagging behind its military section, the former is expanding, rapidly developing, and provides the opportunity to choose the appropriate device for enhancing the assessment of power facilities` technical condition. This issue is relevant as there is a tendency in Russia towards the production digitalization. UAS will make the diagnostic process faster and more highly-technological, as all the information from the measuring devices will be transmitted to the storage. In the long run UAS will also make production cheaper, as the number of operators as well as the number of their working hours will be less than in case with the regular working teams. The paper analyses some models of UAS, their technical features and cost-effectiveness of their mass utilization. The factors regarding the devices as such and severe weather conditions of some regions in Russia are to be taken into account.
24
Voloshko, А., Ya Bederak, and T. Dzheria. "Complex statistical data analysis of electric power consumption, consumption of energy resources and production volumes." POWER ENGINEERING: economics, technique, ecology, no. 3 (April 6, 2020): 22–28. http://dx.doi.org/10.20535/1813-5420.3.2020.228603.
Full textAbstract:
Aims of this research are development of a complex statistical analysis algorithm for active electric power consumption data, consumption of energy resources and manufacturing products, implementation of statistical analysis in practice. Proposed parameters and criteria, which can help to technical staff in factories, to provide optimal and economical operating of supply and distribution systems as electricity, water, gas, heat, compressed air, etc. for production facilities, based on the collected active electric power consumption data for previous periods, information about consumption dynamic. It is concluded that the statistical analysis of the data, obtained for each type of engineering equipments (water supply and sewage, supply systems of compressed air, gas, electricity and steam) and various consumables coefficients (in the proposed algorithm) make possible to identify "weak areas" and to determine the most rational ways to optimize energy usage.
25
Bashirova, Elmira, Yuri Zharinov, and Artem Terentyev. "APPLICATION OF NEURAL NETWORKS FOR SOLVING PROBLEMS OF FORECASTING TECHNICAL CONDITIONS OF ELECTRIC POWER EQUIPMENT." Electrical and data processing facilities and systems 18, no. 2 (2022): 21–31. http://dx.doi.org/10.17122/1999-5458-2022-18-2-21-31.
Full textAbstract:
Relevance This article is devoted to the development of a subsystem for forecasting the reliability of maintenance and repair systems in the electric power industry. The reliability forecasting tasks are more actual nowadays than ever before because they give an answer to the question about expediency of further expenditures, necessary for technology processing and production of maintenance and repair systems in electric power industry. Adequate modeling of reliability of maintenance and repair systems in electric power industry can be realized only by means of automation. Aim of research To analyze the subject area, to develop mathematical and information support. Research methods The main for reliability analysis are structural methods, which allow to represent the system in the form of a structural diagram describing the logical relationships between the states of the elements and the system as a whole, taking into account the structural and functional relationships and the interaction of elements. Results The methods of calculating the reliability of maintenance and repair systems in the electric power industry are investigated, the software that allows you to analyze the reliability using neural networks is implemented. The result of the work is a program for forecasting the reliability of maintenance and repair systems in electric power industry of any structure with the help of neural networks.
26
O, Melnichenko, Kulbovskyi I, Holub H, and Kharuta V. "ASPECTS OF THE METROLOGICAL PROVISION OF TECHNOLOGICAL PROCESSES OF INFORMATION AND MEASUREMENT SYSTEMS IN TRANSPORT INFRASTRUCTURE PROJECTS." National Transport University Bulletin 1, no. 46 (2020): 226–36. http://dx.doi.org/10.33744/2308-6645-2020-1-46-226-236.
Full textAbstract:
The article deals with the main methodological aspects of the metrological provision of information and measurement systems in transport infrastructure projects. The object of study is the means of information-measuring systems of electric power objects of transport of Ukraine. The purpose of the work is to study the metrological provision of information and measurement systems at electric power facilities, in particular transport, which allow to solve many problems related to registration of operating modes of power systems, determination of electrical and time parameters, finding damage on power lines, diagnostics of electrical equipment and others. The research method is a systematic analysis of the metrological assurance of reliable, economical and high-quality operation of electric power objects due to the introduction of synchronized measurements on large electric power objects at large electric power objects. The regulatory framework for metrological support is the State Standards and other documents of the State System for Ensuring Unity of Measurements, the relevant normative documents of the State Standard of Ukraine, methodical instructions and recommendations. The technical basis is the system of state standards and standard measuring instruments, which ensures their reproduction with the highest accuracy; a system of working standards and exemplary measuring instruments by means of which the sizes of units of physical quantities are transferred to the working measuring instruments. As well as a system of standard samples of the composition and properties of substances and materials, which ensures the reproduction of units, composition and properties of substances and materials. The purpose of metrological support is to improve quality, increase production efficiency, use of material values and energy resources, as well as scientific research. The most effective way to improve the reliability, economy and safety of power equipment is to use methods and techniques for technical diagnostics. Due to the use of monitoring systems for monitoring and diagnostics of the electrical parameters of the electric power objects of the railways, both the renewal time of the power supply (associated with the restoration of train traffic) and the corresponding economic losses caused by emergency shutdown are minimized, as well as the costs associated with the operational repair works to eliminate the effects of damage. The characteristics of digital registrars and monitoring systems offered by the leading manufacturers in the electricity market are regulated by international standards. The made comparisons of the accuracy of measurements of different devices for recording the parameters of the modes show similar indicators and confirm the possibility of using the system of monitoring the mode parameters in the problems of estimating the state of power systems. The results of the study can be used in technological processes in transport infrastructure projects when using digital devices as a measurement tool for parameter control and monitoring of electric networks both in Ukraine and abroad. KEYWORDS: METROLOGY, ANALYSIS, STANDARD, INFORMATION, INFORMATION AND MEASUREMENT SYSTEM, PROJECT, MANAGEMENT, TECHNOLOGICAL PROCESS.
27
Akulichev, V. O., E. P. Grabchak, S. V. Mishcheryakov, and A. A. Talalaev. "Digital technologies for managing anthropogenic risks in electric power industry." Safety and Reliability of Power Industry 13, no. 4 (February 18, 2021): 248–56. http://dx.doi.org/10.24223/1999-5555-2020-13-4-248-256.
Full textAbstract:
The article examines the information and analytical technology implemented during the operation of electrical networks, based on the capabilities of multi-agent monitoring of the somatic and mental condition of the staff of power grid companies and predictive analysis of anthropogenic risks of energy production within the framework of a risk-based approach to human resource management. The analysis includes instrumental monitoring, assessment of indicators (using objective data) characterizing the condition of operational managers, operational and maintenance staff involved in real technological and business processes for servicing equipment of network companies using optimization theory methods, fuzzy sets, index analysis, provision of integral information to operational managers and management of energy companies, the formation of proposals on the areas of investment in the development of their human resources based on solving the optimization problem of minimizing damage due to wrong actions, inaction and violation of safety requirements for energy production. It is proposed to use a system of dimensionless index indicators for assessing the condition of staff, predictive analysis of the success of their professional activities and the formation of its ontological model in order to manage anthropogenic risks to ensure reliable and safe functioning of energy production with the possibility of developing measures and scenarios of impacts on staff within the production process. The article presents approaches to the formation of monitoring technology, which ensures the construction of unified systems for recording the condition of staff operating electric power facilities, statistics of failures due to staff's fault to determine the optimal type, composition and cost of impact on staff, improving their health based on multi-agent analysis of monitoring data, allowing to direct the flow of events in accordance with the conditions set by the availability of funds for these purposes. The authors have developed a mathematical apparatus, proposed devices and software, with the help of which an automated analysis of the indices of the condition of staff of each category, servicing equipment units (assemblies) and the formation of scenarios of impacts on it (agent-based modeling of condition-controlled behavior) has been carried out.
28
Hirz, Mario, and Thu Trang Nguyen. "Life-Cycle CO2-Equivalent Emissions of Cars Driven by Conventional and Electric Propulsion Systems." World Electric Vehicle Journal 13, no. 4 (March 31, 2022): 61. http://dx.doi.org/10.3390/wevj13040061.
Full textAbstract:
As an important trend in the automotive industry, electrification of propulsion systems has potential to significantly reduce greenhouse-gas emissions of the transportation sector. Whereas electric vehicles do not produce exhaust emissions during driving, the impact of electricity provision for charging batteries, as well as the impact of vehicle production play an essential role in a holistic consideration of the carbon footprint. The paper introduces a comprehensive evaluation of greenhouse gas-emission-related factors of cars driven by different propulsion technologies, considering the entire product life cycle. This comprises vehicle production, including battery system, electric powertrain and other relevant components, the car’s use phase under consideration of different electricity mixes and the end-of-life phase. The results of the study give insights of influencing factors on life-cycle-related carbon-dioxide-equivalent emissions of cars driven by combustion engines, hybrid powertrains and battery-electric propulsion systems. In addition, a comparison of actual mass-production cars is made and the total life-cycle carbon footprints are discussed under different boundary conditions of electric power supply. In this way, the article comprehensively introduces an automotive life-cycle assessment and provides fundamental information, contributing to an objective discussion of different propulsion technologies.
29
Gracheva, E. I., and O. V. Naumov. "Application of fuzzy regression analysis method for determination of electric power losses in intrafactory power supply networks." Safety and Reliability of Power Industry 11, no. 4 (January 21, 2019): 325–31. http://dx.doi.org/10.24223/1999-5555-2018-11-4-325-331.
Full textAbstract:
One of the main objectives of the development of modern industry in Russia, along with an increase in the absolute volumes of electric power (EP) production, is to strengthen control over its more rational use. Saving EP and reducing the cost of its transmission along power distribution networks is of great importance for the country's energy sector. In terms of their physical nature, in terms of production, transmission and consumption, EP losses are no different from EP served to consumers. Therefore, the assessment of power losses in electrical networks is based on the same economic principles as the assessment of energy served to consumers. EP losses have a significant impact on the technical and economic parameters of the network, since the cost of losses is included in the estimated cost (reduced costs) and cost price (annual operating costs) of EP transmission. The cost component of losses in the cost of EP transmission has a large proportion. The article presents the results of research on the possibility of application of fuzzy regression analysis for problems of assessment and prediction of electric power losses in intrafactory networks. Initial information on the network is uncertain to some extent, which complicates application of traditional methods. The calculation is presented for conventional and fuzzy regression models, along with estimation of error of these models. The relevance of application of fuzzy regression analysis methods is determined by the difficulty of obtaining reliable information about the circuit and regime parameters of intrafactory networks, the probabilistic nature of change of the modes, as well as a whole complex of affecting factors, which are generally challenging for quantitative assessment. Advantages of application of fuzzy regression analysis consist in obtaining confidence intervals of required variables (value of electric power losses) for schemes of networks with uncertain initial information on their parameters, which is characteristic of intrafactory power supply systems, and enables to consider dynamics of their variation.
30
Eltamaly, Ali M., Majed A. Alotaibi, Abdulrahman I. Alolah, and Mohamed A. Ahmed. "IoT-Based Hybrid Renewable Energy System for Smart Campus." Sustainability 13, no. 15 (July 31, 2021): 8555. http://dx.doi.org/10.3390/su13158555.
Full textAbstract:
There is a growing interest in increasing the penetration rate of renewable energy systems due to the drawbacks associated with the use of fossil fuels. However, the grid integration of renewable energy systems represents many challenging tasks for system operation, stability, reliability, and power quality. Small hybrid renewable energy systems (HRES) are small-scale power systems consisting of energy sources and storage units to manage and optimize energy production and consumption. Appropriate real-time monitoring of HRES plays an essential role in providing accurate information to enable the system operator to evaluate the overall performance and identify any abnormal conditions. This work proposes an internet of things (IoT) based architecture for HRES, consisting of a wind turbine, a photovoltaic system, a battery storage system, and a diesel generator. The proposed architecture is divided into four layers: namely power, data acquisition, communication network, and application layers. Due to various communication technologies and the missing of a standard communication model for HRES, this work, also, defines communication models for HRES based on the IEC 61850 standard. The monitoring parameters are classified into different categories, including electrical, status, and environmental information. The network modeling and simulation of a university campus is considered as a case study, and critical parameters, such as network topology, link capacity, and latency, are investigated and discussed.
31
Ramirez-Tovar, A. M., Ricardo Moreno-Chuquen, and Renata Moreno-Quintero. "Land-use in the Electric Colombian System: Hidden Impacts and Risks of Large-scale Renewable Projects." International Journal of Energy Economics and Policy 12, no. 2 (March 20, 2022): 127–34. http://dx.doi.org/10.32479/ijeep.11631.
Full textAbstract:
In the sustainable development era, massive land-use for electricity production represents a crucial challenge for environmental and social systems. Available information about the use of land in this sector is limited, for that reason in this paper we include the power density methodology to evaluate land-use in Colombia to produce electricity. The power density metric depicts the relation between energy produced and area used in this process, considering extraction-conversion-storage. The analysis between power electricity generation and land-use is made for the Colombian electric system, finding that there is no direct relationship between the area occupied by a generation plant and the electricity produced, since the evidence does not show that at larger areas greater power is obtained. Hydropower plants have large spectrum values of power densities, depending on the dam construction purpose (river-flow control). Fossil-fired power plants require less land for its production even including the fuel extraction area. Photovoltaic and wind-power plants in this comparison have the lowest power density values, accordingly, they require far larger areas and represent a risk for sustainability in this perspective.
32
Suprojo, Baskara, Westi Utami, Luthfi Adela Saraswati, Diffa Alifia Nabila, and M. Nazir Salim. "Digital Earth Surface Model for The Estimation of Solar Panel Electric Power Towards Renewable Energy." Geoplanning: Journal of Geomatics and Planning 9, no. 2 (November 29, 2022): 103–20. http://dx.doi.org/10.14710/geoplanning.9.2.103-120.
Full textAbstract:
The development of Geographic Information Systems (GIS) is able to create future value in various sectors and become a solution to the problem of limitations and disparity of electricity resources in Indonesia. This condition encourages GIS to be an analytical solution to the problem of electricity resources, which is by utilizing solar radiation as a source of renewable energy. This study aimed to optimize GIS in the use of solar radiation on the slope of building roofs which affects the estimated number and average electric power. This study used the mixed method. Research data includes aerial photos, which were analyzed digitally using the area of solar radiation and the slope angle of building roofs so as to produce a spatial analysis of the utilization of solar panels on Derawan Island. The data analysis showed that buildings in Derawan Island can produce 17,355.254 mWh per year with each building producing an average of 28,686 kWh annually. The result of the study is expected to encourage the realization of the use of renewable energy as part of the SDGs by utilizing solar panels as a source of electricity, replacing fossil-derived energy. This study is also expected to be applied in other small inhabited islands to support the sustainability of electricity use and increase the use of renewable energy.
33
Zinkevych, P., and S. Baluta. "Comparative calculation of power and electricity production by photoelectric stations (FES) for civil objects and parking." Scientific Works of National University of Food Technologies 28, no. 6 (December 2022): 37–47. http://dx.doi.org/10.24263/2225-2924-2022-28-6-5.
Full textAbstract:
Designing residential power supply systems using rene-wable energy sources is an urgent task, as it allows to ensure energy-efficient modes of power supply and power consumption, to reduce the cost of consumed electric power. The article proposes approaches to the design of a photo¬voltaic power station (PPS), which is installed on the roof of an apartment building, a multi-story parking lot, taking into account the architectural features of buildings, which significantly affect the roof area for photovoltaic cells and the consumption of electrical energy. The classification of mul¬ti-apartment residential buildings (MARB) according to architectural features is presented. Design of PPS and calculation of electric loads for MARB of various architectural groups was carried out. The calculation of electrical loads was carried out separately for the MARB and for the life support system of the MARB. The calculation was carried out using information on previously collected data on resi¬dential buildings and specific loads of apartments. The spe¬cific calculated loads of apartments take into account the lighting load of general building premises, as well as the load of low-current devices and low-power power equipment. The calculated load of the MARB power receivers was determined as the sum of the calculated loads of elevator installations and the load of sanitary and technical devices. For MARB of different architectural forms with different number of apartments, simulation of PPS operation modes was performed: taking into account the location of the PPS installation, solar radiation, features of the generating equipment, forecast values of generated power and electric energy for different periods of the year were calculated. Modeling was carried out using the SAM software package. Financial assessment of PPS projects was carried out. Capital investments for the FES and the payback period of the project were calculated.
34
Kelechi, Anabi Hilary, Mohammed H. Alsharif, Okpe Jonah Bameyi, Paul Joan Ezra, Iorshase Kator Joseph, Aaron-Anthony Atayero, Zong Woo Geem, and Junhee Hong. "Artificial Intelligence: An Energy Efficiency Tool for Enhanced High performance computing." Symmetry 12, no. 6 (June 18, 2020): 1029. http://dx.doi.org/10.3390/sym12061029.
Full textAbstract:
Power-consuming entities such as high performance computing (HPC) sites and large data centers are growing with the advance in information technology. In business, HPC is used to enhance the product delivery time, reduce the production cost, and decrease the time it takes to develop a new product. Today’s high level of computing power from supercomputers comes at the expense of consuming large amounts of electric power. It is necessary to consider reducing the energy required by the computing systems and the resources needed to operate these computing systems to minimize the energy utilized by HPC entities. The database could improve system energy efficiency by sampling all the components’ power consumption at regular intervals and the information contained in a database. The information stored in the database will serve as input data for energy-efficiency optimization. More so, device workload information and different usage metrics are stored in the database. There has been strong momentum in the area of artificial intelligence (AI) as a tool for optimizing and processing automation by leveraging on already existing information. This paper discusses ideas for improving energy efficiency for HPC using AI.
35
Qi, Xuesong, Li Tian, Jia Sun, and Mengqi Li. "Construction and implementation of power grid dispatching interactive system based on Internet." Journal of Physics: Conference Series 2260, no. 1 (April 1, 2022): 012050. http://dx.doi.org/10.1088/1742-6596/2260/1/012050.
Full textAbstract:
Abstract The construction of the information-based and intelligent platform can completely reform the management mode of enterprises, effectively improve the production efficiency and competitive strength of enterprises. In view of the importance of information and intelligence construction, domestic electric power enterprises continuously build and transform information platform based on their own business needs. In this paper, starting from the background of the construction of the Power Grid Dispatching Command Network Interactive System, the dispatching standard and the overall idea of systems engineering, the interactive mode and system structure scheme of the power grid dispatching command network based on the national and industry standards are proposed, based on the computer network, the interactive supporting mode of dispatching command network is constructed to form a comprehensive and efficient dispatching command network, which ensures the flexibility and reliability of dispatching command interaction and improves the level of dispatching command.
36
Savenko, A. E., and P. S. Savenko. "Supporting the operation of the electrical power system of modern special purpose vessels with dynamic positioning." Power engineering: research, equipment, technology 23, no. 6 (March 30, 2022): 99–108. http://dx.doi.org/10.30724/1998-9903-2021-23-6-99-108.
Full textAbstract:
THE PURPOSE. Consider the use of special purpose vessels with a dynamic positioning system. To conduct observations and research of the operation of electrical power systems of such vessels for the existence of problems in them that affect the performance of technological operations. To propose methods and means aimed at eliminating situations and processes that adversely affect the operation of shipboard electrical power systems when laying pipelines.METHODS. For observation and research, the unified electrical power systems with electric rudder propellers and a system for laying an underwater pipeline of the "Seven Vega" cable layer was considered. Collected information on all the main electrical systems of the vessel "Seven Vega". Experimental studies were carried out aimed at studying the operating modes of the electrical power system during the laying of pipelines.RESULTS. Experimental oscillograms of currents of parallel operating diesel-generator sets in different modes have been obtained. The existence of power exchange oscillations during the operation of the unified electric power system of the cable-laying ship “Seven Vega” is noted. The data on the negative influence of power oscillations on the operation of tensioners during the laying of underwater pipelines were obtained.CONCLUSION. The use of sea-going vessels with dynamic positioning for laying pipelines and performing oil and gas production operations requires ensuring the operation of their electrical power systems. To ensure the high-quality operation of tensioners in pipeline laying systems, it is necessary to ensure the adjustment of their regulators and to exclude the occurrence of power exchange oscillations during parallel operation of generator sets.
37
Chung, Min Hee. "Prediction model for day-ahead solar insolation using meteorological data for smart grid." E3S Web of Conferences 111 (2019): 06040. http://dx.doi.org/10.1051/e3sconf/201911106040.
Full textAbstract:
In the overseas market, power generation and energy service companies have been engaged in the business of providing personalized trading services for the production of electric power through the Internet platform. This is, so that the electric power sharing system between individuals is being developed through the Internet platform. The prediction of insolation is essential for the prediction of power generation for photovoltaic systems. In this study, we present a prediction model for insolation from data observed at the Meteorological Administration. We also present basic data for the development of the insolation prediction model through meteorological parameters provided in future weather forecasts. The prediction model presented is for five years of observation of weather data in the Seoul area. The proposed model was trained by using the feed-forward neural networks, taking into account the daily climatic elements. To validate the reliability of the model, the root mean square error (RMSE), mean bias error (MBE), and mean absolute error (MAE) were used for estimation. The results of this study can be used to predict the solar power generation system and to provide basic information for trading generated output by photovoltaic systems.
38
Jaffe, Leonard D. "A Review of Test Results on Solar Thermal Power Modules With Dish-Mounted Stirling and Brayton Cycle Engines." Journal of Solar Energy Engineering 110, no. 4 (November 1, 1988): 268–74. http://dx.doi.org/10.1115/1.3268267.
Full textAbstract:
This paper presents results of development tests of various solar thermal parabolic dish modules and assemblies that used dish-mounted Brayton or Stirling cycle engines for production of electric power. These tests indicate that early modules achieve net efficiencies up to 29 percent in converting sunlight to electricity, as delivered to the grid. Various equipment deficiencies were observed and a number of malfunctions occurred. The performance measurements, as well as the malfunctions and other test experience, provided information that should be of value in developing systems with improved performance and reduced maintenance.
39
Jaffe, Leonard D. "A Review of Test Results on Parabolic Dish Solar Thermal Power Modules With Dish-Mounted Rankine Engines and for Production of Process Steam." Journal of Solar Energy Engineering 110, no. 4 (November 1, 1988): 275–81. http://dx.doi.org/10.1115/1.3268268.
Full textAbstract:
This paper presents results of development testing of various solar thermal parabolic dish modules and assemblies. Most of the tests were at modules and assemblies that used a dish-mounted, organic Rankine cycle turbine for production of electric power. Some tests were also run on equipment for production of process steam or for production of electricity using dish-mounted reciprocating steam engines. These tests indicate that early modules achieve efficiencies of about 18 percent in converting sunlight to electricity (excluding the inverter but including parasitics). A number of malfunctions occurred. The performance measurements, as well as the malfunctions and other operating experience, provided information that should be of value in developing systems with improved performance and reduced maintenance.
40
Ruiz, Luis Carlos, Dario Amaya, and Olga Lucia Ramos. "Prediction of Solar Radiation through the Anfis Algorithm." Applied Mechanics and Materials 823 (January 2016): 389–95. http://dx.doi.org/10.4028/www.scientific.net/amm.823.389.
Full textAbstract:
The constant evolution of the energy industry, has introduced the need for ongoing research studies about climate change due to its direct action on the production of alternative energies. Thus, they have focused on developing predictive algorithms in order to resolve, in an early way, the climate action on each point of energy production. In the development of this work, the ANFIS algorithm and information from the NASA Langley research center virtual database were implemented. They being oriented to the analysis and prediction of solar radiation over the geographic area of the Nueva Granada Military University campus, Cajicá, Colombia, with the purpose of making appropriate use of the power generating system located in the zone. The development of such systems, would allow the early identification of solar radiation that can be present in different geographical areas of Colombia, in order to provide the necessary power to cover the electricity demand required in each region, achieving as results an approximation error less than 1%.
41
Ostapenko, Olga, Piotr Olczak, Viktor Koval, Larysa Hren, Dominika Matuszewska, and Olena Postupna. "Application of Geoinformation Systems for Assessment of Effective Integration of Renewable Energy Technologies in the Energy Sector of Ukraine." Applied Sciences 12, no. 2 (January 7, 2022): 592. http://dx.doi.org/10.3390/app12020592.
Full textAbstract:
The scientific novelty of the results presented in this article is to substantiate and expand the possibilities of using global and local geographic information systems (GIS) to assess the potential of renewable energy sources in Ukraine. GIS analysis focused on key resource parameters can help identify territories for development of renewable energy sources and assess of their possible technical potential, as well as the possibility of effective integration of technologies for the use of renewable energy sources in the energy sector of Ukraine. In this paper the possibilities for using geographic information systems to assess the potential of renewable energy sources in Ukraine are analyzed. The possibility of using the Global Atlas of the International Renewable Energy Agency (IRENA) to support planning of technologies for the use of energy from biomass is analyzed. The data can point to large-scale programs and applications in relation to key parameters (quality resources, transmission distance, population density, terrain and site protection), helping identify additional areas for development of renewable energy sources and give an approximate assessment of technical potential. It is determined that the software products of IRENA are able to support national and regional planning of renewable energy technologies, help establish the viability of future renewable energy facilities and help project developers identify and analyze promising facilities for the implementation of technologies using renewable energy. The application of geographic information systems of Ukrainian web resources (“UA MAP”) for assessing the potential of renewable energy sources and energy efficiency in Ukraine is been analyzed. The scientific novelty of the results lies in applying global and local GIS for comprehensive assessment of the potential and effectiveness of the use of regional non-traditional and renewable energy resources on the territory of Ukraine. This makes it possible to assess the possibilities of generating additional electric and thermal power for the needs of the regions of Ukraine using non-traditional and renewable energy sources. A comprehensive methodology for the use of GIS is proposed for assessing the potential of non-traditional and renewable energy sources at the regional level in Ukraine, taking into account energy, environmental and socio-economic factors affecting the placement of non-traditional and renewable energy facilities.
42
Yu, Kachan, and Kuznetsov V. "About technical and economic indicators of wind and photoelectric stations use in the systems of network consumer railway supply systems." Theory and practice of metallurgy, no. 6 (September 21, 2019): 68–74. http://dx.doi.org/10.34185/tpm.5.2019.09.
Full textAbstract:
Purpose. To analyze the technical and economic indicators of the use of wind and photovoltaic stations in the power supply systems of non-traction consumers of railway power grids. The research methodology is based on modern methods of computational mathematics, statistics and information analysis using modern computer technology. Findings. The authors analyze the current prerequisites for the use of electricity generated from renewable sources (wind and photovoltaic stations) to supply non-traction consumers of railway power grids. The authors note that for reliable power supply to non-traction consumers in the presence of accidental wind flow or intensity of solar radiation, the capacity of wind and photovoltaic plants will need to be significantly overestimated, which leads to a significant increase in capital costs for construction. The paper presents examples of implementation of options for the construction of the above wind and photovoltaic stations for the variable nature of wind speed and intensity of solar radiation for specific regions of Ukraine (Vasylivka, Zaporizhia region). The authors present variants of the basic schemes of wind, solar and combined electric power supply systems for non-traction consumers. Information on technical and economic indicators of the most common domestic photo modules and wind turbines on the Ukrainian market is provided. The originality of the work is reflected in the examples of the introduction of options for the construction of wind and photovoltaic stations for the variable nature of wind speed and intensity of solar radiation for specific regions of Ukraine. Practical implications. The above calculation of the cost of the required number of power sources at wind, solar and combined power plants helps to choose the least expensive option for the introduction of renewable energy sources for non-traction consumers of railway networks. Keywords: renewable energy sources, photovoltaic installation, railway power supply networks, non-traction consumers of railway power grids, electricity production, solar radiation intensity, wind flow rate, capital expenditures.
43
van der Linden, Koos, Natalia Romero, and Mathijs M. de Weerdt. "Benchmarking Flexible Electric Loads Scheduling Algorithms." Energies 14, no. 5 (February 25, 2021): 1269. http://dx.doi.org/10.3390/en14051269.
Full textAbstract:
Due to increasing numbers of intermittent and distributed generators in power systems, there is an increasing need for demand responses to maintain the balance between electricity generation and use at all times. For example, the electrification of transportation significantly adds to the amount of flexible electricity demand. Several methods have been developed to schedule such flexible energy consumption. However, an objective way of comparing these methods is lacking, especially when decisions are made based on incomplete information which is repeatedly updated. This paper presents a new benchmarking framework designed to bridge this gap. Surveys that classify flexibility planning algorithms were an input to define this benchmarking standard. The benchmarking framework can be used for different objectives and under diverse conditions faced by electricity production stakeholders interested in flexibility scheduling algorithms. Our contribution was implemented in a software toolbox providing a simulation environment that captures the evolution of look-ahead information, which enables comparing online planning and scheduling algorithms. This toolbox includes seven planning algorithms. This paper includes two case studies measuring the performances of these algorithms under uncertain market conditions. These case studies illustrate the importance of online decision making, the influence of data quality on the performance of the algorithms, the benefit of using robust and stochastic programming approaches, and the necessity of trustworthy benchmarking.
44
Sampathkumar, Sri Krishna Kumar, and Dhal Pradyumna Kumar. "Power quality assessment of novel multilevel and multistring inverters for electric vehicle applications." Bulletin of Electrical Engineering and Informatics 11, no. 4 (August 1, 2022): 1818–27. http://dx.doi.org/10.11591/eei.v11i4.3512.
Full textAbstract:
The requirement and demand of electric vehicles is extravagantly increasing in the current era for avoiding pollutions and as well to overcome the consumptions of liquid fuels. Under this scenario, for the production and applicability of electric vehicles, inverters play a major role to render appropriate battery power supply for the perfect operation of the electric vehicle. This research study devises a novel modified multilevel inverter and a new multistring inverter designed by reducing the number of switches and enabling the effective operation of the electric vehicle. Both the developed multilevel and multistring inverter is analyzed with respect to their switching states, their output voltage and the evaluated harmonic distortion. For comparison, a sinusoidal alternating current voltage is considered as reference and all the newly modeled configurations are compared with that of the existing inverter models to prove their superiority. The switched states of the designed inverters as applicable for electric vehicles are examined to attain a logical analysis with respect to the duty cycle of the individual switches. The power quality assessment of the designed inverter models are guaranteed based on the minimized total harmonic distortion and on comparison with the other inverter models from the earlier state-of-the-art techniques.
45
Snegirjovs, A., P. Shipkovs, K. Lebedeva, G. Kashkarova, L. Migla, P. Gantenbein, and L. Omlin. "Performance Evaluation of Photovoltaic Solar Air Conditioning." Latvian Journal of Physics and Technical Sciences 53, no. 6 (December 1, 2016): 29–36. http://dx.doi.org/10.1515/lpts-2016-0041.
Full textAbstract:
Abstract Information on the electrical-driven solar air conditioning (SAC) is rather scanty. A considerable body of technical data mostly concerns large-scale photo-voltaic solar air conditioning (PV-SAC) systems. Reliable information about the energy output has arisen only in recent years; however, it is still not easily accessible, and sometimes its sources are closed. Despite these facts, solar energy researchers, observers and designers devote special attention to this type of SAC systems. In this study, performance evaluation is performed for the PV-SAC technology, in which low-power (up to 15 kWp of cooling power on average) systems are used. Such a system contains a PV electric-driven compression chiller with cold and heat sensible thermal storage capacities, and a rejected energy unit used for preheating domestic hot water (DHW). In a non-cooling season, it is possible to partly employ the system in the reverse mode for DHW production. In this mode, the ambient air serves as a heat source. Besides, free cooling is integrated in the PV-SAC concept.
46
Boehm, Ralf, Johannes Bürner, and Jörg Franke. "Smart Factory Meets Smart Grid: Cyber-Physical Compressed Air Systems Enable Demand Side Management in Industrial Environments." Applied Mechanics and Materials 805 (November 2015): 25–31. http://dx.doi.org/10.4028/www.scientific.net/amm.805.25.
Full textAbstract:
In electric energy systems based on renewable generation plants supply and demand often do not occur in the same period of time. Consequently demand side management is gaining importance whereby decentralized automation offers opportunities in industrial environments. Compressed air systems on industrial plants consist of air compressors, compressed air reservoirs and compressed air lines. With suitable dimensioning those industrial compressed-air systems can be used for demand side management purpose. As power consumption of industrial air compressors ranges between a few and several hundred kilowatts each, swarms of communicatively connected air compressors can contribute to the stabilization of power grids. To avoid costly production downtime it is to ensure, that a reliable, non-disruptive supply of compressed air can be maintained at all time. Industrial compressed air systems equipped with automation technology and artificial intelligence, which hereinafter are referred to as Cyber-Physical Compressed Air Systems (CPCAS), allow new business models for utilities, industrial enterprises, compressor manufacturers and service providers. In addition to basic operating parameters like current air pressure and status, those systems can process further information and create, for example, profiles on compressed air consumption over time. By enriching those profiles with data on pressure, volumes, system restrictions and current production requirements (plans), the CPCAS can identify the available potential for demand side management. Ipso facto predictive power on electricity consumption is increasing. By providing the information obtained to the power company or a service provider, savings in electricity costs may be achieved. Expenses within the industrial company may be lowered further as compliance with agreed load limits is being improved by automatic shutdown of air compressors upon reaching the load limit. Within this article the structure of the aforementioned Cyber-Physical Compressed Air Systems is presented in more detail, relations between the major actors are being shown and possible business models are being introduced.
47
Dai, Xiangrong. "Power Metering Automation System Based on Internet of Things." Wireless Communications and Mobile Computing 2022 (August 8, 2022): 1–6. http://dx.doi.org/10.1155/2022/6380079.
Full textAbstract:
In order to solve the problems of poor stability and low operation efficiency of the traditional power marketing metering production automatic scheduling system, this paper proposes a power metering automation system based on the Internet of Things. In this paper, the hardware and software of the system are designed under the environment of the Internet of Things. The hardware part is mainly divided into three platforms: basic resource layer, platform business layer, and interface presentation layer. The normal operation is realized through the network topology, and the load balancing server and business subsystem are emphatically designed. The software is completed in four steps: coding, scheduling, backup, and display. The experimental results show that the integrity rate of the electric quantity data collected by this system in the experiment with the traditional system is as high as 99%. Compared with the traditional dispatching system, the power information dispatching system designed under the Internet of Things has better stability and higher operation efficiency.
48
Vovchuk, T., N. Deyneko, О. Levterov, and R. Shevchenko. "ANALYSIS OF INFORMATION CONDITIONS OF FORMATION OF STRUCTURAL-LOGICAL MODEL OF EMERGENCY MANAGEMENT IN THE CONDITIONS OF ABSENCE." Municipal economy of cities 4, no. 157 (September 25, 2020): 97–102. http://dx.doi.org/10.33042/2522-1809-2020-4-157-97-102.
Full textAbstract:
The paper considers the problem of accidental destruction of power lines due to external factors, which led to the de-energization of large areas for a long time. Breakdowns can be caused by both mechanical damage and natural disasters - floods and earthquakes and more. As a rule, as a result of an emergency situation, the level of energy supply of large areas decreases. An important methodological aspect in studying the quality of the electrical network is the allocation of hierarchical levels of consideration. Thus, the authors consider the lowest level of functioning of the electrical network, namely the power supply of the emergency response system. Such circumstances, in turn, can lead to the emergence and development of emergencies that lead to significant casualties and destruction. It has been established that some accidents have led to power outages for more than one day. The analysis of features of work of emergency counteraction systems which are used on objects in the conditions of damage of electric networks is carried out. Devices of emergency counteraction of domestic production which have found wide application on objects and continue to be improved and let out are considered in work. Approaches to the use of imported emergency response devices, in terms of operation and installation, are almost the same, as they must meet the requirements of those regulations that are used in Ukraine. It is established that redundancy of power supply of such systems at the expense of rechargeable batteries allows to carry out their uninterrupted work no more than 24 hours. That is, if the power supply of emergency response systems from the traditional power supply network is not restored within 24 hours, such systems will stop working, which may lead to an emergency becoming an emergency. Thus, the further work of the authors will be aimed at finding a way to back up emergency response systems in the event of a power outage from the traditional power grid for a time exceeding the possibility of power supply from the battery. Keywords: emergency destruction, emergency, power grid, emergency response systems, backup power supply.
49
Lakshmi, K. V. Dhana, P. K. Panigrahi, and Ravi kumar Goli. "Machine learning assessment of IoT managed microgrid protection in existence of SVC using wavelet methodology." AIMS Electronics and Electrical Engineering 6, no. 4 (2022): 370–84. http://dx.doi.org/10.3934/electreng.2022022.
Full textAbstract:
<abstract><p>In the last decade, research has been started due to accelerated growth in power demand has mainly concentrated on the large power production and quality of power. After the digital revolution, non-conventional energy sources, many state-of-art equipment, power electronics loads, reactive power compensating devices, sophisticated measuring devices, etc., entered the power industry. The reactive power compensating devices, connected electrical equipment, renewable energy sources can be anticipated/unanticipated action can cause considerable reactions may be failure issues to power grids. To deal with these challenges, the power sector crucially needs to design and implement new security systems to protect its systems. The Internet-of-Things (IoT) is treated as revolution technology after the invention of the digital machine and the internet. New developments in sensor devices with wireless technologies through embedded processors provide effective monitoring and different types of faults can be detected during electric power transmission. The wavelet (WT) is one of the mathematical tools to asses transient signals of different frequencies and provides crucial information in the form of detailed coefficients. Machine learning (ML) methods are recommended in the power systems community to simplify digital reform. ML and AI techniques can make effective and rapid decisions to improve the stability and safety of the power grid. This recommended approach can contribute critical information about symmetrical or asymmetrical faults through machine learning assessment of IoT supervised microgrid protection in the presence of SVC using the wavelet approach covers diversified types of faults combined with fault-inception-angles (FIA).</p></abstract>
50
Noor, Ahmed K. "Game Changers." Mechanical Engineering 136, no. 09 (September 1, 2014): 30–35. http://dx.doi.org/10.1115/1.2014-sep-1.
Full textAbstract:
This article discusses the recent development in “cognitive computing” technology. Unlike expert systems of the past, which required inflexible hard-coded expert rules, cognitive computers interpret unstructured data (sensory information, images, voices, and numbers), navigate through vast amounts of information, learn by experience, and participate in dialogues with humans using natural language to solve extremely complex problems. The U.S. Defense Advanced Research Projects Agency is funding a program called SyNAPSE (Systems of Neuromorphic Adaptive Plastic Scalable Electronics) to develop machine technology that will function like biological neural systems. IBM, Hughes Research Labs, and several universities are working on this program. The aim is to build an electronic system that matches a mammalian brain in function, size, and power consumption. It would recreate 10 billion neurons and 100 trillion synapses, consume one kilowatt (same as a small electric heater), and measure less than 2,000 cubic centimeters. Several other projects are also under way to apply cognitive technology to robotics, cars, and production systems.