Subjects -> ENERGY (Total: 414 journals)
    - ELECTRICAL ENERGY (12 journals)
    - ENERGY (252 journals)
    - ENERGY: GENERAL (7 journals)
    - NUCLEAR ENERGY (40 journals)
    - PETROLEUM AND GAS (58 journals)
    - RENEWABLE ENERGY (45 journals)

ENERGY (252 journals)            First | 1 2 | Last

Showing 201 - 400 of 406 Journals sorted alphabetically
Natural Resources     Open Access  
Nature Energy     Hybrid Journal   (Followers: 27)
Nigerian Journal of Technological Research     Full-text available via subscription   (Followers: 1)
Nuclear Data Sheets     Full-text available via subscription  
Nuclear Engineering and Design     Hybrid Journal   (Followers: 16)
Oil and Energy Trends : Annual Statistical Review     Full-text available via subscription  
Oil and Gas Journal     Full-text available via subscription   (Followers: 12)
Open Journal of Energy Efficiency     Open Access   (Followers: 1)
Power Technology and Engineering     Hybrid Journal   (Followers: 3)
Proceedings of the Institution of Civil Engineers - Energy     Hybrid Journal   (Followers: 2)
Progress in Energy and Combustion Science     Hybrid Journal   (Followers: 16)
Progress in Nuclear Energy     Hybrid Journal   (Followers: 2)
Protection and Control of Modern Power Systems     Open Access   (Followers: 3)
Radioprotection     Hybrid Journal   (Followers: 1)
Science and Technology for Energy Transition     Open Access   (Followers: 3)
Science and Technology of Nuclear Installations     Open Access   (Followers: 3)
Smart Energy     Open Access  
Smart Grid and Renewable Energy     Open Access   (Followers: 9)
Solar Compass     Open Access   (Followers: 1)
Solar Energy     Hybrid Journal   (Followers: 20)
Solar Energy Advances     Open Access   (Followers: 2)
Solar Energy Materials and Solar Cells     Hybrid Journal   (Followers: 30)
South Pacific Journal of Natural and Applied Sciences     Hybrid Journal  
Strategic Planning for Energy and the Environment     Hybrid Journal   (Followers: 4)
Structural Control and Health Monitoring     Hybrid Journal   (Followers: 6)
Surface Science Reports     Full-text available via subscription   (Followers: 13)
Sustainable Energy     Open Access   (Followers: 2)
Sustainable Energy & Fuels     Hybrid Journal   (Followers: 1)
Sustainable Energy Technologies and Assessments     Full-text available via subscription  
Sustainable Energy, Grids and Networks     Hybrid Journal   (Followers: 4)
Technology and Economics of Smart Grids and Sustainable Energy     Hybrid Journal  
Technology Audit and Production Reserves     Open Access   (Followers: 1)
Turkish Journal of Energy Policy     Open Access  
Unconventional Resources     Open Access  
Universal Journal of Applied Science     Open Access  
Washington and Lee Journal of Energy, Climate, and the Environment     Open Access  
Waste Management     Hybrid Journal   (Followers: 13)
Water International     Hybrid Journal   (Followers: 19)
Wiley Interdisciplinary Reviews : Energy and Environment     Hybrid Journal   (Followers: 8)
Wind Energy     Hybrid Journal   (Followers: 3)
Wind Engineering     Hybrid Journal  
World Oil Trade     Hybrid Journal  

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Technology and Economics of Smart Grids and Sustainable Energy
Number of Followers: 0  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Online) 2199-4706
Published by Springer-Verlag Homepage  [2469 journals]
  • Impact of Divergence in BBO on Efficient Energy Strategy of Demand Side
           Management

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      Abstract: Demand Response (DR) keeps up an important character in the growth of electricity generation with transmission and distribution in the phase of advanced grid automation. For future smart grid, basically two types of Demand Side Management strategies have been used with a number of shiftable or controllable devices. In this research article, two new variants of Biogeography Based Optimization (BBO) algorithm named as Iteration Control BBO and Pandemic BBO are proposed for solving the minimization problem and definitions of these variants have been made by change in migration control \(\overrightarrow{a}\) vector. These two variants are indirectly support the principle of No Free Lunch theorem. The beauty of these variants is that they are reported the impact of divergence in BBO on efficient energy strategy of DSM. The simulation results reported in this paper claims that the used DSM techniques acquire financial savings, while lowering and shifting peak load. Graphical
      PubDate: 2022-07-28
       
  • Best Combinations of Inputs for ANN-Based Solar Radiation Forecasting in
           Morocco

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      Abstract: Abstract In this paper, for forecasting, with the high possible accuracy, the solar radiation intensity, an approach for identifying the optimum set of input data from large sets of input parameters is elaborated, assessed, and proposed. This approach belongs to techniques of Input Variable Selection (IVS) and was established using artificial neural networks (ANNs) as an effective means for numerically approximating the computed objective function: Monthly Average Global Solar Radiation (MAGSR). Based on the approach suggested, we could determine the best combinations of inputs that can reveal great possible correlation and approximation with the output considered parameter. Recorded data from 35 stations of different climatic zones were used for both training and testing purposes. Several new linear formulas between the MAGSR and other climatological and meteorological parameters were developed and evaluated. Based on these relationships, we can forecast other climatological and meteorological parameters like temperature, wind speed, and humidity. The statistical analysis was done, and the best performance of the proposed approach has been well checked and duly validated.
      PubDate: 2022-07-25
       
  • Platform of Intelligent Control of Indoor Lighting integrated into LVDC
           Distribution System: A Case Study in the Technical University of Ambato

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      Abstract: Abstract Currently, inefficient use of electricity in homes, businesses, schools, and industries requires the implementation of policies, mechanisms, and technological innovations of rational use of energy. In this sense, the implementation of new distribution systems, low-voltage direct current, LVDC, is presented as a technological solution for energy saving as well as for the efficiency for end users and for energy distribution companies’ power. The emergent of new distribution systems such as LVDC has encouraged the development of innovative methods and components for power to low voltage DC, which are applied to lighting systems, datacenters, and interior spaces. Existing experience about LVDC distribution systems have shown that reducing energy loss is proportional to increased levels of DC voltage. In addition, conversion AC/DC systems have higher losses than conversion DC/DC ones. Therefore, the implementation of LVDC systems is comparatively more efficient than traditional distribution methods of alternating current. The massive integration of LVDC distribution systems will significantly reduce energy losses and increase the efficiency of energy end users. In this article, the implementation of a cloud platform control and management of an isolated distribution system that feeds LVDC lighting loads is described. Also, the conceptual development of integration of LVDC system with a renewable generation, which supplies current to the lighting system is presented.
      PubDate: 2022-07-22
       
  • Novel Extreme Learning Machine and Chaotic in-Built Opposition Based –
           Quantum Ruddy Turnstone Optimization Algorithms for Real Power Loss
           Dwindling and Voltage Consistency Enhancement

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      Abstract: Abstract This paper proposes Ruddy turnstone optimization (RTO) algorithm, Extreme Learning Machine based Ruddy turnstone Optimization (ELMRTO) Algorithm, Chaotic based Ruddy turnstone optimization (CRTO) algorithm, Quantum based Ruddy turnstone Optimization (QRTO) Algorithm, Opposition based Ruddy turnstone optimization (ORTO) Algorithm and chaotic in-built Opposition based – Quantum Ruddy turnstone optimization (COQRTO) algorithm for genuine loss lessening. Important goals of the paper are Power fidelity extension, power eccentricity minimization and genuine loss lessening. The leading stimulus is in the sculpting of Repositioning –Peripatetic and argumentative actions of Ruddy turnstone. Ruddy turnstone will guzzle wiretaps, young insect and it subsists in bundling style. The constellation of Ruddy turnstone, which mobile from one place to alternate in the sequence of repositioning and the fresh investigation agent position is to evade the smash amongst their contiguous Ruddy turnstone. In the proposed Extreme Learning Machine based Ruddy turnstone Optimization (ELMRTO) Algorithm, Ruddy turnstone Optimization Algorithm approach enhances Extreme Learning Machine features to determine an optimal skeleton of Extreme Learning Machine for enhanced canons. In Chaotic based Ruddy turnstone optimization (CRTO) algorithm Exploration and Exploitation are augmented. In Quantum based Ruddy turnstone Optimization (QRTO) Algorithm, features emulate the analogous performance with the certain stage as they route in a credible powdered of median. Opposition based Ruddy turnstone optimization (ORTO) Algorithm employs Laplace distribution to enhance the exploration skill. Then examining the prospect to widen the exploration, a new method endorses stimulating capricious statistics used in formation stage regulator factor in Ruddy turnstone Optimization Algorithm. In the projected chaotic in-built Opposition based – Quantum Ruddy turnstone optimization (COQRTO) algorithm, the transaction of erratic figures is completed with the irrational digits enthused by Laplace distribution to amplify the support of the probability of formation level inside the exploration zone. Proposed Ruddy turnstone optimization (RTO) algorithm, Extreme Learning Machine based Ruddy turnstone Optimization (ELMRTO) Algorithm, Chaotic based Ruddy turnstone optimization (CRTO) algorithm, Quantum based Ruddy turnstone Optimization (QRTO) Algorithm, Opposition based Ruddy turnstone optimization (ORTO) Algorithm and chaotic in-built Opposition based – Quantum Ruddy turnstone optimization (COQRTO) algorithm are corroborated in Garver’s 6-bus test system, IEEE 30, 57, 118, 300, 354 bus test systems and Practical system - WDN 220 KV (Unified Egyptian Transmission Network (UETN)). Loss lessening, voltage divergence curtailing, and voltage constancy index augmentation has been attained.
      PubDate: 2022-06-29
       
  • Real Power Loss Reduction by Accipitridae Optimization Algorithm

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      Abstract: Abstract In this paper, Accipitridae Optimization Algorithm (AOA) is used to solve the power loss lessening problem. Authorizing a satisfactory magnitude of reactive power is effervescent for the steadfast operation of power transmission structures, as the power meagreness may tip to staid power catastrophe and leading power upheavals. Loss reduction problem is intended as one of the prominent conditions for compassionate and financial action of edifice. It is exceptional by appropriate union of the network apparatus castoff to deal with up the power flow with the dispassionate of decreasing the losses and evolution the power outline of the assemblage. Plentiful previous studies unravelled the power problem as the optimization objective tasks premeditated noticeably. Real power loss reduction, Voltage stability expansion and voltage deviation minimization are the key objectives of the work. Hunting methods of Accipitridae are imitated to design the Accipitridae Optimization Algorithm (AOA). Accipitridae does hunting in a single-mode on the prey. High ascend with a perpendicular bend down towards the prey will be done by the Accipitridae. High ascend with a perpendicular bend down towards the prey will be done by the Accipitridae is formulated. As soon as the prey spot is precise then Accipitridae is geared up for landing and assault, the Accipitridae move down perpendicularly with a preface assault to determine the prey response. AOA initiates the upgrading measures by engendering an arbitrary solution. In the course of the curve of reiteration, the explore stratagem of the AOA is the rational location of the most excellent optimal solution. The authenticity of the Accipitridae Optimization Algorithm (AOA) is corroborated in IEEE 30 bus system (with and devoid of L-index). Genuine power loss lessening is attained. Voltage stability escalated with minimization of power deviance. Then the proportion of actual power loss lessening is amplified.
      PubDate: 2022-06-21
       
  • A Study on the Construction of a Nuclear Safety Standards Integrated
           Management System in the Republic of Korea

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      Abstract: Abstract Nuclear safety standards should be continuously improved by reflecting the latest international standards and regulatory experience, but in the Republic of Korea, they are still used only for limited purposes, such as the disclosure of safety standard information and status. Therefore, it is very urgent to establish an integrated management system that can flexibly improve nuclear safety standards. In this study, based on the investigation of the strengths and weaknesses of similar systems at home and abroad, in relation to the development and management of safety standards, this study intends to identify problems and suggest ways to improve the current domestic nuclear safety standards management. To this end, 15 experts related to the development and management of nuclear safety standards were included as a Delphi panel, and a questionnaire survey and SWAT analysis of similar systems at home and abroad were conducted. The essential factors to consider for establishing an integrated nuclear safety standard management system are the safety standard development procedures and methods, and the methods of providing information on safety standards and collecting opinions. For this, the problems of the current nuclear safety standard management system and the following five measures to improve are derived. 1) reflecting the informatization of the work process of developing safety standard enactment and amendment, 2) regular analysis of overseas safety standards and development of domestic requirements management system, 3) development of mid-to-long-term safety standard roadmap management system, 4) safety standard information Expansion of readability and openness, 5) provision of a window for express opinions at each stage of safety standard development. In addition, we propose four work processes (information collection, constant analysis, safety standard development management, and information provision) reflecting the above improvement measures. The proposed method through this study is expected to be a good blueprint for the construction and operation of an integrated web-based safety standards management system in the future.
      PubDate: 2022-06-01
       
  • Economic Loss Utilized Probabilistic Defense against Load Redistribution
           Attacks by Selecting Optimal Critical Measuring Units

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      Abstract: State Estimation (SE) reflects the real time operation of power system network in the present cyber-physical power world. However, prior research works depict that bad/false undetectable data can be injected into the system on compromising measuring devices like Remote Terminal Units or Phasor Measurement Units. If an attacker intrudes into the cyber network and injects successful undetectable bad data, then that attack is popular as False Data Injection Attack (FDIA). One practical FDIA is Load Redistribution Attack (LRA), which target bus active power injections and line active power flows. LRA harms SE and subsequently disturbs Security Constrained Economic Dispatch (SCED) which result in severe rise of power generation and load shedding costs. Hence to maintain grid’s security, defense is one of the optimistic options. Attacker or defender won’t have access or control over all units. So, certain critical measuring units must be considered to attack or defend the system. In this research article, a procedure is developed to select optimal critical units subjected to all possible attack resources and load variations. The developed procedure is analyzed on three loading scenarios of modified IEEE-14 bus test system. These critical units are set as basis to find an optimal attack-defense strategy among possible strategies, which is accomplished by static zero-sum game theory in which economic loss is utility. This study provides an in-sight of consequences due to LRA, critical units’ selection under load variations and probabilistic optimal attack-defense strategy of the modified IEEE-14 bus system at three loading conditions. Graphical
      PubDate: 2022-05-23
      DOI: 10.1007/s40866-022-00131-4
       
  • Analysis of Power Loss in Forward Converter Transformer Using a Novel
           Machine Learning Based Optimization Framework

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      Abstract: Abstract High power and high voltage gains in Forward Converter significance are a foremost topic for wind power switch mode supplies. However, due to the recent penetration of forward converter usage in the power network and wide range of load, the reliability and power loss problem becomes a crucial one. Therefore, this paper projected a novel Grey Wolf based Boosting Intelligent Frame (GWbBIF) control algorithm for improving the reliability of power system since the incorporation of forward converter to the entire system level. Consequently, the power loss of transformer is optimized by the projected Grey Wolf fitness function. The implementation of this work has been done on MATLAB/Simulink. The simulation outcomes of the proposed system show that the forward converter reliability and power loss of transformer are considered as significant aspects while estimating the whole system function. The proposed outcomes are compared with the conventional methods for validating the importance of the projected method.
      PubDate: 2022-05-16
      DOI: 10.1007/s40866-022-00145-y
       
  • A Comprehensive Framework for the Assessment of Synchrophasor
           Communication Networks from the Perspective of Situational Awareness in a
           Smart Grid Cyber Physical System

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      Abstract: Abstract The conventional power grid is modernizing into a cyber-physical smart grid. In this system, there are several applications, an important being the synchrophasor measurement system. Sensors called the phasor measurement units, measure the synchrophasors and communicate them to the phasor data concentrator using the synchrophasor communication networks. Situational awareness helps in the quick perception of the environment and in taking commensurate actions by the power system operator. Thus, the synchrophasor communication networks play an important role and must be assessed from the perspective of the operator’s situational awareness. In this context, a comprehensive situational awareness analysis metric is proposed. The proposed metric is based on hardware reliability, data reliability, and network delay. As a case study, a practical power grid of India (West Bengal Power Grid) is considered for assessing its situational awareness. The synchrophasor communication networks of the West Bengal power grid are simulated in the QualNet network simulator to validate the proposed situational awareness framework.
      PubDate: 2022-05-04
      DOI: 10.1007/s40866-022-00146-x
       
  • Leveraging a Dynamic Differential Annealed Optimization and Recalling
           Enhanced Recurrent Neural Network for Maximum Power Point Tracking in Wind
           Energy Conversion System

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      Abstract: Abstract In this article, a hybrid strategy is proposed to track that maximum power of Wind Energy Conversion System (WECS). The proposed technique is the joint execution of Dynamic Differential Annealed Optimization (DDAO) and Recalling Enhanced Recurrent Neural Network (RERNN) hence, it is called D2AORERN2 approach. In the proposed work, DDAO has input parameters, like rectifier outputs that means rectifier dc voltage, dc current, time. Based on input parameters, Dynamic Differential Annealed Optimization optimizes and minimizes the error in rectifier power and makes training dataset based on maximal power point tracking conditions. Based on accomplished dataset, the RERNN finds the optimal solution. The rectifier’s reference dc voltage is transformed for controlling the inverter switch pulses. Finally, the proposed method is activated in MATLAB/Simulink, its superiority is analyzed with various existing methods, like genetic algorithm (GA), particle swarm optimization (PSO), Hill Climb Search (HCS).The efficiency of proposed system is likened to several existing technique as GA, PSO and HCS. The efficiency of GA, PSO, HCS and proposed technique is 81%, 85%, 89% and99%. Thus the proposed technique achieves best result than the other techniques.
      PubDate: 2022-04-29
      DOI: 10.1007/s40866-022-00144-z
       
  • A Novel Antillean Nighthawk Swarm Optimization Algorithm for Loss
           Lessening and Power Reliability Expansion

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      Abstract: Abstract This paper proposes Antillean nighthawk swarm optimization (ANSO) algorithm for loss lessening. Remarkable aims of the paper are Power reliability extension, power eccentricity minimization and loss lessening. The Antillean nighthawk swarm optimization (ANSO) algorithm is inspired by wisdom the activities of Antillean nighthawk in the swarm. Societal actions, collective communication, caricaturist nurturing, hovering, and watchfulness activities are applied for untangling the power loss lessening problem. Antillean nighthawk routinely voyages to diverse places; Antillean nighthawk can shift in creating and sponging once this is completed. The Antillean nighthawk with the uppermost nutrients reserve will act as creator, and Antillean nighthawk with bottommost rations will act as sponger. Antillean nighthawk with transitional comestibles would erratically pick to be as a creator and sponger Antillean nighthawk. In Flight Actions Antillean nighthawks might be move to alternative areas in rejoinder to marauder fears, scavenging, or several dissimilar conditions. As soon as Antillean nighthawks are repositioned to a dissimilar zone, the Antillean nighthawks will seek for nutrition over again. The creating Antillean nighthawk’s pursuit for nutrition spots, while the scroungers Antillean nighthawks shot to forage on the nutrition area which has been exposed by the creators Antillean nighthawks. Chaotic sequences are integrated in the Antillean nighthawk swarm optimization algorithm and it will augment the Exploration and Exploitation process. Quantum features are reliable pounded of median and it has been integrated with Antillean nighthawk swarm optimization algorithm. Opposition based learning integrated in the Antillean nighthawk swarm optimization algorithm and it applies the Laplace distribution to augment the exploration dexterity. Proposed Antillean nighthawk swarm optimization (ANSO) algorithm is corroborated in Garver’s 6-bus test system, IEEE 30, 57, 118, 300, 354 bus test systems and Practical system - WDN 220 KV (Unified Egyptian Transmission Network (UETN)). Loss lessening, power divergence curtailing, and power constancy index augmentation has been attained.
      PubDate: 2022-04-28
      DOI: 10.1007/s40866-022-00142-1
       
  • Contingency Analysis in Power System- Using UPFC and DVR Devices with RDOA

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      Abstract: Abstract Contingency analysis has been considered as critical issue in power systems because it initiates failures in transmission line and failure in equipment. Hence, this paper is presented Red Deer Algorithm (RDA) to manage contingency condition for improving security of the power system. The proposed algorithm is utilized to solve the Optimal Power flow (OPF) with multi-objective functions. The multi-objective function is consisting of six single objective functions such as power loss, voltage deviation, fuel cost, Flexible Alternating Current Transmission System (FACTS) device installation cost, severity index, congestion cost. In the power system, the contingency condition is managed with the help of FACTS devices such as Unified Power Flow Controller (UPFC) and Dynamic voltage restoration (DVR) respectively. The optimal allocation of the UPFC and DVR is identified with the help of RDA algorithm. The optimal placement is enhancing the system security, reliable and stability of the system while contingency conditions in power system. The proposed method is implemented in MATLAB, and it is tested on IEEE 30 and IEEE 300 bus system respectively. The results of the proposed method are analyzed with three scenario such as generator outage, line outage and overload condition. The proposed method is compared with existing methods such as Particle Swarm Optimization (PSO) and Firefly Algorithm (FA) respectively.
      PubDate: 2022-04-23
      DOI: 10.1007/s40866-022-00129-y
       
  • Techno-Economic Feasibility Analysis of 100 MW Solar Photovoltaic
           Power Plant in Pakistan

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      Abstract: Abstract In this era of adaptation of renewable energy resources at huge level, Pakistan still depends upon the fossil fuels to generate electricity which are harmful for the environment and depleting day by day. This article presents feasibility analysis of 100 MWp solar photovoltaic (PV) power plant in Pakistan. The purpose of this study is to present the techno-economic feasibility of the 100 MWp grid connected solar (PV) power plant. The calculations have been done using mathematical model PV*SOL computer software algorithms and results have been presented. This paper briefly describes the process flow, timelines, and steps involved in initiating the project through an issuance of letter of interest (LOI) application up till the commissioning of the plant. A summary of financial feasibility to set a 100 MWp solar PV project including revenue, operations & maintenance, interest payment on project loan, net profit and payback is presented. The economic analyses are performed for a period of 25 years and the results of simulation show that the proposed plant can supply 180,000 GWh/year (Gega watt hour per year) of electricity by reducing 90,225 tons/year of CO2 emission. Provided that land is supplied by the government, payback period was calculated as 3.125 years. As this research is a complete techno-economic analysis of 100MWp solar power plant, it attracts sponsor, company or government itself for installing a new plant that may be a good business plan.
      PubDate: 2022-04-18
      DOI: 10.1007/s40866-022-00139-w
       
  • Control of a Photovoltaic Pumping System Using the ABC Algorithm in EL
           Jadida Climate

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      Abstract: Abstract In this paper, we propose a photovoltaic pumping system in the meteorological conditions of the city of EL JADIDA located in Morocco. Our system is composed of a photovoltaic generator, a step-up converter (DC/DC) controlled by Maximum power point tracking (MPPT), an inverter (DC/AC), a motor-pump group (asynchronous motor, centrifugal pump). The amount of energy produced by PV systems depends on environmental circumstances such as temperature and solar irradiance, the objective of our system is to ensure operation at a maximum power of the photovoltaic system for various climatic conditions in the city of EL JADIDA, for this the Artificial Bee method Colony (ABC) was implemented and compared to two other MPPT Perturbation and Observation (P&O) and Fuzzy Logic Control (FLC) method, to evaluate the best and most accurate controller for different weather conditions. The results show that the use of the ABC method is effective and has an excellent performance in terms of response time (3.5 H), and can increase the stability of the photovoltaic pumping system, and thanks to this algorithm, we can increase the water flow performance by 82.35% compared to the P&O method and by 50% compared to the FLC method, and we can have pumping for very low insolation d values (25.55 W/m2) for the ABC method. The simulations of the different parts of the system are developed in the Matlab/Simulink environment.
      PubDate: 2022-04-12
      DOI: 10.1007/s40866-022-00141-2
       
  • The Effects of Electricity Consumption on CO2 Emissions in Iran

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      Abstract: Abstract This study examined the empirical effects of electricity consumption on carbon dioxide (CO2) emissions in Iran. To achieve this goal, we applied the autoregressive distributed lag (ARDL) approach. The results indicate that cointegration exists among electricity consumption, economic growth, foreign direct investment (FDI), financial development and carbon dioxide (CO2) emissions. Also findings indicate that increase in electricity consumption has had a direct impact on carbon dioxide (CO2) emissions in both the short and long run. However, financial development and foreign direct investment (FDI) have a negative and significant effect on carbon dioxide (CO2) emissions. Therefore, it is proposed to reduce energy subsidies in the polluting industry. In addition, more investment in the use of renewable energy is required.
      PubDate: 2022-04-11
      DOI: 10.1007/s40866-022-00140-3
       
  • Analytical Study of Unsteady Boiling Characteristics of Steam Generator

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      Abstract: Abstract Currently, research on the efficiency of the film heater, which is a surface heating element, is being actively conducted as it is a potential alternative to the sheath heater. However, research on the heat transfer phenomenon and the performance of the film heater is insufficient. In this study, the performance of the sheath heater and the film heater were compared and analyzed, and the heat transfer pattern according to the arrangement of the heating wire was analyzed. To inspect the heat transfer performance, the external heat transfer and internal flow characteristics of the steam generator were determined, and a study on the performance of the steam generator according to each design variable was conducted. The Eulerian multiphase model was used to conduct the multiphase flow analysis, and the wall boiling model was used to conduct the phase change analysis. Among the models analyzed in this study, the model in which the heating wire was arranged along the flow path and the length of the induction was extended by 50% showed the best performance. Compared to the base model, the steam generation time was improved by 33.3% and the steam ejection time was improved by 17%. These times were improved because the heating wire arrangement of the film heater was optimized along the fluid channel. The U-shaped heating wire arrangement enabled a stable steam injection, and in the case of the normal film heater and fluid channel following heater, a large portion of the heating wire was located around the center. Consequently, steam was formed at the center of the housing. We believe that the results of this study can be applied to various fields in consideration of the advantages of the film heater package, free pattern design of printing, and economy.
      PubDate: 2022-03-17
      DOI: 10.1007/s40866-022-00138-x
       
  • Heat Transfer Simulation and Analysis of Thermal Battery

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      Abstract: Abstract This study aimed to establish thermal analysis conditions and techniques for thermal batteries used as special-purpose power sources through comparisons with experimental data. Grid independence was realized, and grids with an error rate of less than 1% were applied. For heat transfer analysis, an unsteady analysis was conducted from 0 to 1,000 s by using commercial software. To apply the experiment results of the housing surface temperature to the analysis, the convective heat transfer coefficient that represents an equivalent temperature tendency was obtained through thermal analysis; its value was 19.2 W/m2·K. Heat transfer analysis was conducted by applying this coefficient to a 2° full model. Through the analysis, the temperature distribution inside the thermal battery and its heat dissipation characteristics were investigated. For an operating time of 870 s, the total averaged electrolyte temperature, top and bottom electrolyte temperature, and middle electrolyte temperature were found to be 457 °C, 441 °C, and 466 °C, respectively. Assuming a minimum operating temperature of 450 °C for the electrolyte, the amount of power generated decreases sharply from the top and bottom electrolyte layers of the housing of the thermal battery. This is because rapid heat release occurs at the top and bottom of the housing compared to the sides. Therefore, improving the insulation performance of the top and bottom of the housing could significantly enhance the operational performance of the thermal battery; reinforcement of the side insulator would also be required. The obtained results could serve as significant basic data for improving the performance of thermal batteries and extending their operating time.
      PubDate: 2022-03-16
      DOI: 10.1007/s40866-022-00126-1
       
  • Comparison of Quantitative Feedback Theory Dependent Controller with
           Conventional PID and Sliding Mode Controllers on DC-DC Boost Converter for
           Microgrid Applications

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      Abstract: Abstract This paper is discussed towards the issue of variations happening in the voltage control method of DC-DC boost converter. Quantitative feedback theory (QFT) is adjusted to efficiently plan a robust PID regulator, which is acknowledged utilizing only output voltage of the plant sensed by voltage sensor. The benefits of the explained PID configuration by utilizing the QFT design (Tarakanath Kobaku et al. 25) is proved with the fact that it disposes the problem of extra work and ad-hoc tuning of PID gain utilizing the regular PID methods, current measurement isn’t needed, it provides the design for case of non-minimum phase of boost converter even if there is restrictions on the bandwidth and disturbance factors are already included in the design of QFT based controller with the help of QFT bounds and thus disturbance effect is considered in the output of system. Various simulation results are taken in each case i.e. conventional PID controller and sliding mode controller. Here results are compared with the QFT based controller to verify the importance of this controller over other two controllers in terms of output response, reference tracking, line regulation and most importantly on the basis of cost effectiveness.
      PubDate: 2022-03-09
      DOI: 10.1007/s40866-022-00133-2
       
  • A Simple and Efficient Power Flow for Distribution Networks

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      Abstract: Abstract This paper presents an efficient power flow (PF) for distribution networks (DN). The proposed PF method uses basic circuit laws in deriving the final PF expression and appears like the classical Gauss-Seidel PF algorithm of transmission systems. It possesses the advantages of forward and backward sweeps (FBS) based PF methods but avoids the FBS and formation of a Jacobian matrix. It primarily depends on a constant transformation matrix, formed only once from the network topology and feeder parameters. The transformation matrix relates the node currents with effective feeder voltage drops, and helps to compute the node voltages directly from the given set of load powers. The proposed PF was studied on 15, 33 and 69 node DNs, and the study exhibited that the performances in terms of accuracy, robustness to different r/x ratios of distribution lines and computational efficiency of the proposed method are superior to those of existing methods.
      PubDate: 2022-02-23
      DOI: 10.1007/s40866-022-00135-0
       
  • A Novel Method for Contingency Ranking Based On Voltage Stability Criteria
           in Radial Distribution Systems

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      Abstract: Abstract Voltage stability margin regarding with contingency ranking in radial distribution system using novel method is proposed in this paper. Two new indices are derived to forecast the voltage stability in the radial distribution feeders. Here, RSI_N(r) is the radial stability index calculated for each bus and utilized for forecasting the voltage stability. The second index is derived by finding the effect of receiving end voltage change on voltage stability index at a specific bus. Contingency planning by delta analysis method improves the reliability of the system. The proposed system is employed for optimally ranking the contingencies. Impact on voltage stability due to contingencies like loss of FACTS devices, loss of distributed generation (DG) sets and loss of lines is carried out on radial distribution feeders and compared the experimental results with the proposed method using MATLAB platform. The proposed indices are implemented on the test systems and outcomes are compared to existing indices on literature and it is viewed that the proposed indices are effective on predicting the system stability. Contingency due to a loss of DG set, due to a loss of reactive source, due to a loss of line, due to loss of DG set are the considered test cases. Voltage profile improvement using Static VAR Compensator (SVC)-DSTATCOM is also employed in this paper. The proposed system is also tested under 15, 28 bus system, IEEE-69 and 123 bus system.
      PubDate: 2022-02-19
      DOI: 10.1007/s40866-022-00137-y
       
 
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