Browse
Record Types
Records with Type: Published Article
Showing records 3559 to 3583 of 43292. [First] Page: 1 140 141 142 143 144 145 146 147 148 Last
Steady-State Load Flow Model of DFIG Wind Turbine Based on Generator Power Loss Calculation
Rudy Gianto, Purwoharjono, Fitri Imansyah, Rudi Kurnianto, Danial.
May 23, 2023 (v1)
Keywords: DFIG steady-state model, load flow, power system, wind farm.
Penetration of wind power plants (WPPs) in the electric power system will complicate the system load flow analysis. Consequently, the traditional load flow algorithm can no longer be used to find the solution to the load flow problem of such a system. This paper proposes a doubly fed induction generator (DFIG)-based WPP model for a load flow analysis of the electric power system. The proposed model is derived based on the power formulations of the WPP—namely, DFIG power, DFIG power loss, and WPP power output formulas. The model can be applied to various DFIG power factor operating modes. In the present paper, applications of the proposed methods in two representative electric power systems (i.e., IEEE 14-bus and 30-bus systems) have been investigated. The investigation results verify the proposed method’s capability to solve the load flow problem of the system embedded with DFIG-based variable-speed WPPs.
Development of Surface Mining 4.0 in Terms of Technological Shock in Energy Transition: A Review
Sergey Zhironkin, Ekaterina Taran.
May 23, 2023 (v1)
Subject: Energy Policy
Keywords: Artificial Intelligence, Industry 4.0, Internet of Things, Surface Mining 4.0, technological shock, unmanned equipment.
The expansion of end-to-end Industry 4.0 technologies in various industries has caused a technological shock in the mineral resource sector, wherein itsdigital maturity is lower than in the manufacturing sector. As a result of the shock, the productivity and profitability of raw materials extraction has begun to lag behind the industries of its deep processing, which, in the conditions of volatile raw materials markets, can provoke sectoral crises. The diffusion of Industry 4.0 technologies in the mining sector (Mining 4.0) can prevent a technological shock if they are implemented in all segments, including quarrying (Surface Mining 4.0). The Surface Mining 4.0 technological platform would connect the advanced achievements of the Fourth Industrial Revolution (end-to-end digital artificial intelligence technologies, cyber-physical systems and unmanned production with traditional geotechnology) without canceling them, but instead bringing them to a new level of productivity, resource con... [more]
A Study of a Generalized Photovoltaic System with MPPT Using Perturb and Observer Algorithms under Varying Conditions
Zulfiqar Ali, Syed Zagam Abbas, Anzar Mahmood, Syed Wajahat Ali, Syed Bilal Javed, Chun-Lien Su.
May 23, 2023 (v1)
Keywords: boost converter, MPPT, perturb and observe (P&O), photovoltaic module, Renewable and Sustainable Energy, space vector pulse width modulation.
In recent years, renewable energy (RE) has shown promise as a sustainable solution to the rising energy demand worldwide. Photovoltaic (PV) technology has emerged as a highly viable RE alternative. The majority of PV schemes use specific PV models with specified parameters. This study proposes a PV model with generic specifications, a PV array, a DC/DC converter, a DC/AC inverter, maximum power point tracking (MPPT), and grid synchronization using a feedback control system under the MATLAB/Simulink environment. Various MPPT techniques have been adapted to track the PV’s maximum power point (MPP); however, there are various uncertainties. To address these challenges, this paper presented a perturb and observe (P&O) strategy to track the MPP of PV systems reliably. The MPP of a PV system varies according to meteorological order, such as solar radiation and cell temperature. The MPPT primarily gathers the maximum current and voltage of the PV array and provides them to the load using a bo... [more]
3D Transient CFD Simulation of an In-Vessel Loss-of-Coolant Accident in the EU DEMO WCLL Breeding Blanket
Mauro Sprò, Antonio Froio, Andrea Zappatore.
May 23, 2023 (v1)
Keywords: Computational Fluid Dynamics, EU DEMO, LOCA, nuclear fusion, two-phase flow, WCLL.
The in-vessel Loss-of-Coolant Accident (LOCA) is one of the design basis accidents in the design of the EU DEMO tokamak fusion reactor. System-level codes are typically employed to analyse the evolution of these transients. However, being based on a lumped approach, they are unable to quantify localised quantities of interest, such as local pressure peaks on the vacuum vessel walls, to which the failure criteria are linked. To calculate local quantities, the 3D nature of the phenomenon needs to be considered. In this work, a 3D transient model of the in-vessel LOCA from a water-cooled blanket is developed. The model is implemented in the commercial CFD software STAR-CCM+. It simulates the propagation of the water jet in the vessel from the beginning of the accident, thus accounting for the phase change of the water, i.e., from the pressurised liquid phase to the vapour phase inside the vessel, being the latter at a much lower pressure than in the blanket coolant pipes. Due to the large... [more]
Research on Optimization of Profile Parameters in Screw Compressor Based on BP Neural Network and Genetic Algorithm
Tao Wang, Qiang Qi, Wei Zhang, Dengyi Zhan.
May 23, 2023 (v1)
Keywords: BP neural network, Genetic Algorithm, geometric characteristics, screw compressor.
In order to accurately calculate the geometric characteristics of the twin-screw compressor and obtain the optimal profile parameters, a calculation method for the geometric characteristics of twin-screw compressors was proposed to simplify the profile parameter design in this paper. In this method, the database of geometric characteristics is established by back-propagation (BP) neural network, and the genetic algorithm is used to find the optimal profile design parameters. The effects of training methods and hidden layers on the calculation accuracy of neural network are discussed. The effects of profile parameters, including inner radius of the male rotor, protection angle, radius of the elliptic arc, outer radius of the female rotor on the comprehensive evaluation value composed of length of the contact line, blow hole area and area utilization rate, are analyzed. The results show that the time consumed for the database established by BP neural network is 92.8% shorter than that of... [more]
The Design and Fabrication of Multiple-Transmitter Coils and Single-Receiver Coils for a Wireless Power Transfer System to Charge a 3s LiPo Drone’s Battery
Ahmed O. MohamedZain, Lee Wei Hou, Huangshen Chua, Kianmeng Yap, Lau Kim Boon.
May 23, 2023 (v1)
Keywords: drones, inductive power transfer, lithium polymer battery, wireless power receiver, wireless power transfer, wireless power transmitter.
Recent research has shown an increasing interest in wireless power transfer (WPT) technology for drone batteries. The inconvenience of wired charging, especially for drones, is a huge obstacle. In this research project, a WPT platform was proposed by applying four transmitting coils and a single receiving coil. To meet the industrial standards required for transmitter Tx and receiver Rx, a calculation of the parameters was implemented. An H-bridge MOSFET was used as a DC−AC inverter, a bridge diode was used as an AC−DC rectifier, and a Pi low pass filter was added to the receiver circuit design to filter the high-frequency noise. Experimental investigations were conducted to study the maximum power and power efficiency of the coil’s alignment. The focus of this article was to design and fabricate workable multiple-transmitter coils and a single-receiver coil for a wireless power transfer system, in order to charge a 3S LiPo drone’s battery. It not only covers an overview of wireless po... [more]
Economic Analysis of Methanating CO2 and Hydrogen-Rich Industrial Waste Gas in Depleted Natural Gas Reservoirs
Zhengmeng Hou, Liangchao Huang, Yachen Xie, Lin Wu, Yanli Fang, Qichen Wang, Yilin Guo.
May 23, 2023 (v1)
Keywords: carbon circular utilization, carbon neutrality, economic analysis, NPV, underground biomethanation.
This study explored underground biomethanation as a means to achieve carbon neutrality and promote carbon circular utilization by methanating CO2 and hydrogen-rich industrial waste gas in depleted natural gas reservoirs (MECHIG). This approach not only aids the development of carbon capture, utilization, and storage (CCUS) technologies, but also effectively processes industrial waste gas, thereby reducing pollutant emissions. In order to verify the feasibility of the MECHIG concept, this study builds upon the analysis of the MECHIG process overview and employs the net present value (NPV) analysis method to investigate its economic viability. Additionally, the study conducts a sensitivity analysis on six factors, namely methanation efficiency, facility site investment, hydrogen content in waste gas, natural gas prices, operation and maintenance (O&M) investment, and CO2 capture and injection prices. The results indicate the following: (1) Under the baseline scenario, the NPV of the MECH... [more]
Implementing Very-Short-Term Forecasting of Residential Load Demand Using a Deep Neural Network Architecture
Reynaldo Gonzalez, Sara Ahmed, Miltiadis Alamaniotis.
May 23, 2023 (v1)
Keywords: 1 min data, deep neural network, individual household, parameter selection analysis, residential load, small data, very-short-term forecasting.
The need for and interest in very-short-term load forecasting (VSTLF) is increasing and important for goals such as energy pricing markets. There is greater challenge in predicting load consumption for residential-load-type data, which is highly variable in nature and does not form visible patterns present in aggregated nodal-type load data. Previous works have used methods such as LSTM and CNN for VSTLF; however, the use of DNN has yet to be investigated. Furthermore, DNNs have been effectively used in STLF but have not been applied to very-short-term time frames. In this work, a deep network architecture is proposed and applied to very-short-term forecasting of residential load patterns that exhibit high variability and abrupt changes. The method extends previous work by including delayed load demand as an input, as well as working for 1 min data resolution. The deep model is trained on the load demand data of selected days—one, two, and a week—prior to the targeted day. Test results... [more]
Design and Optimization of an Asymmetric Rotor IPM Motor with High Demagnetization Prevention Capability and Robust Torque Performance
Ling Ding, Yuan Cheng, Tianxu Zhao, Kai Yao, Yao Wang, Shumei Cui.
May 23, 2023 (v1)
Keywords: asymmetric rotor interior permanent magnet motor, manufacturing uncertainties, multi-objective optimization, permanent magnet demagnetization, torque performance robustness.
In this paper, an asymmetric rotor interior permanent magnet (ARIPM) motor with high demagnetization prevention capability and robust torque performance is proposed. The key contribution of this paper lies in two aspects. On the one hand, a novel asymmetric rotor with a shifted magnet axis is proposed to improve the demagnetization prevention capability and torque density. In order to obtain a proper asymmetric rotor topology of the ARIPM motor, the multi-physical performances, especially the PM demagnetization characteristics of five types of PM arrangements, are analyzed. Furthermore, an asymmetric rotor with V- and VV-type PM arrangement is preliminarily designed, considering the multi-physical performance balance and the potentially high anti-demagnetization ability. On the other hand, it is found that the asymmetric rotor structure can not only improve the nominal value of motor performance but also can enhance the resistance to the influence of manufacturing uncertainties. Theref... [more]
High-Energy Transformations of Fossil Fuels in the Cement Industry
Mirosław Szwed, Witold Żukowski, Krzysztof Misztal, Rafał Kozłowski.
May 23, 2023 (v1)
Subject: Environment
Keywords: air pollution, greenhouse gases, scanning microscopy, toxicity.
The energy stored in fossil fuels is released through combustion and is a fundamental process in the production of cement. The negative aspect of this combustion is the emission of greenhouse gases and dust. This paper presents the results of a study conducted within a cement plant in Ożarów (south-eastern Poland). The chemical properties (selected elements) in the needles of Scots pine (Pinus sylvestris L.) were determined. The needle surface was scanned using a scanning electron microscope (SEM) and was characterised in terms of chemical composition through energy dispersive spectroscopy (EDS). The concentrations of selected analytes in the biennial needles formed the following descending sequence: Fe > Al > Mn > Zn > Cu > Pb > Cr > Ni. SEM/EDS microphotographs showed the presence of particles of varying shape, size and chemical composition indicative of anthropogenic origin.
Correlations of Heat Transfer and Fluid Flow Data for Lattice Brick Settings in Tunnel Kilns
Issa F. Almesri, Mosab A. Alrahmani, Jaber H. Almutairi, Hosny Z. Abou-Ziyan.
May 23, 2023 (v1)
Keywords: CFD models, friction factor, lattice brick setting, Nusselt number, surface roughness, tunnel kilns.
This paper proposes correlation equations of heat transfer and pressure drop for the design and operation of tunnel kilns loaded with lattice brick settings of different geometrical parameters in the form of Nusselt number and friction factor. The developed correlation equations considered parameters that were not investigated in previous studies, such as the relative roughness of the bricks and the stack channels, and they also extended the Reynolds numbers to a practical range that was not covered before in a simple, practical form. The correlation equations are valid for Reynolds number between 125 and 10,200, Prandtl number between 0.68 and 0.73, brick’s relative roughness between 0.23 and 0.93, voidage fraction between 0.48 and 0.653, and the geometrical parameters of the tested lattice brick settings. The achieved correlations of the Nusselt number and the friction factor are well compared with the available correlations in the literature in their valid range of parameters. It is... [more]
A Comparison of a Transparent Thermal Insulation System Filled with Refrigerants and a Pig-Fat Based PCM
Agustín Torres Rodríguez, David Morillón Gálvez, Iván García Kerdan, Rodolfo Silva Casarín.
May 23, 2023 (v1)
Subject: Materials
Keywords: hybrid air conditioning system, infrared thermography, phase change material, refrigerant, transparent thermal insulation.
In this research sustainable refrigerants are tested as filler gases in Transparent Thermal Insulation (TTI) for the first time. These are compared with pig fat, a readily available material with good thermal inertia that is proposed as an organic phase change material (PCM). The aim of this paper is to compare the thermal behaviour of a Hybrid Air Conditioning System (HACS) with TTI filled with R134a, R1233zd and a pig-fat-based PCM. Numerical simulations using the OPAQUE 3 program and two online platforms are used to evaluate the possible application of TTI and PCM as passive systems. Additionally, three TTI models are used to simulate the heat transfer processes of TTI, PCM and R134a. The velocity of the flow in the air gap is also analysed numerically in both laminar and turbulent states. For the assessment, infrared thermographic imagery is used to measure the temperatures in the HACS, giving values of 46.17 °C by day and 38.05 °C at night. The results show that the heat loss and... [more]
A Comparative Study of the Kalman Filter and the LSTM Network for the Remaining Useful Life Prediction of SOFC
Chuang Sheng, Yi Zheng, Rui Tian, Qian Xiang, Zhonghua Deng, Xiaowei Fu, Xi Li.
May 23, 2023 (v1)
Keywords: Kalman filtering, long short-term memory network, remaining useful life prediction, SOFC.
The solid oxide fuel cell (SOFC) system is complicated because the characteristics of gas, heat, and electricity are intricately coupled. During the operation of the system, problems such as frequent failures and a decrease in the stack’s performance have caused the SOFC system to work less well and greatly shortened the SOFC’s practical life. As such, it is essential to accurately forecast its remaining useful life (RUL) to make the system last longer and cut down on economic losses. In this study, both model-based and data-driven prediction methods are used to make predictions about the RUL of SOFC. First, the linear degradation model of the SOFC system is established by introducing degradation resistance as the index of health status. Using the Kalman filtering (KF) method, the health status of SOFC is evaluated online. The results of the health state estimation indicated that the KF algorithm is accurate enough to provide a good basis for the model-based RUL prediction. Then, a lon... [more]
Power Quality Analysis Based on Machine Learning Methods for Low-Voltage Electrical Distribution Lines
Carlos Alberto Iturrino Garcia, Marco Bindi, Fabio Corti, Antonio Luchetta, Francesco Grasso, Libero Paolucci, Maria Cristina Piccirilli, Igor Aizenberg.
May 23, 2023 (v1)
Keywords: convolutional neural networks, electrical disturbances, multilayer neural networks with multivalued neurons, power quality, short-time Fourier transform.
The main objective of this paper is to propose two innovative monitoring methods for electrical disturbances in low-voltage networks. The two approaches present a focus on the classification of voltage signals in the frequency domain using machine learning techniques. The first technique proposed here uses the Fourier transform (FT) of the voltage waveform and classifies the corresponding complex coefficients through a multilayered neural network with multivalued neurons (MLMVN). In this case, the classifier structure has three layers and a small number of neurons in the hidden layer. This allows complex-valued inputs to be processed without the need for pre-coding, thus reducing computational cost and keeping training time short. The second technique involves the use of the short-time Fourier transform (STFT) and a convolutional neural network (CNN) with 2D convolutions in each layer for feature extraction and dimensionality reduction. The voltage waveform perturbations taken into con... [more]
Experimental Study of the Effect of Humidity on Air Filter Material Performance
Tao Zhang, Zhongguang Fu, Hao Zhou.
May 23, 2023 (v1)
Subject: Materials
Keywords: dust-holding capacity, filter media, gas turbine, humidity.
A large number of application cases show that air filter media are easy to fail under extreme conditions of high humidity, haze, rain and snow, thus seriously affecting the energy efficiency of gas turbines. To study the impact of humidity on the dust-holding performance of filter media, three typical filter media applied for gas turbines with a similar efficiency are selected, and their dust-holding performance is investigated at a humidity of 30%, 60% and 75%, respectively. The results showed that the dust-holding pressure drop curves of three filter media were divided into two phases. With the increase of humidity, the increasing pressure drop rate of three filter media decreased. The pressure drop synthetic fiber, glass fiber composite filter media and the synthetic fiber composite filter media with a sandwich structure were more significantly affected by humidity during the filter cake filtration phase. Under the same conditions, filter media with a sandwich structure had the high... [more]
Financial and Technical Evaluation of Energy Production by Biological and Thermal Treatments of MSW in Mexico City
Pablo Emilio Escamilla-García, Ana Lilia Coria-Páez, Francisco Pérez-Soto, Francisco Gutiérrez-Galicia, Carolina Caire, Blanca L. Martínez-Vargas.
May 23, 2023 (v1)
Keywords: incineration, methane, Mexico City, Renewable and Sustainable Energy, waste-to-energy.
This research aims to compare, from a technical and financial perspective, the application of biological (methane-capture) and thermal (incineration) treatments of waste in Mexico City in order to generate clean energy. For each alternative, pessimist (50%), realistic (80%), and optimistic (100%) scenarios were considered in terms of the efficiency collection rates of methane and the efficiency of the capacity conversion factor for incineration. For the methane project, the LandGEM model was used to evaluate the potential generation of methane. In order to calculate the electricity output that could be generated through incineration, we relied on two key factors: the total amount of heat that could be generated by burning the waste and the average level of moisture in the waste material. The evaluation resulted in an annual energy generation of 206.09 GWh for methane and 4183.39 GWh for incineration, both in the realistic scenario. Both projects reported positive financial indicators w... [more]
Effects of Astronomical Cycles on Laminated Shales of the Paleogene Shahejie Formation in the Dongying Sag, Bohai Bay Basin, China
Qiqi Li, Shang Xu, Junliang Li, Ruichao Guo, Guangwei Wang, Yufan Wang.
May 23, 2023 (v1)
Keywords: astronomical forcing, Bohai Bay Basin, laminated shale, organic-rich shale, shale oil.
Laminated shales are widely developed in the Dongying Sag and have attracted much attention as an oil reservoir. Macroscopically, these shales generally have multi-scale cyclicity, which is closely related to the development of laminae. Therefore, analyzing the origin of their cyclicity is helpful to understanding the formation mechanism of laminated shales and the vertical heterogeneity of shale reservoirs, which are of great significance for continental shale oil exploration and development. In this study, a gamma ray (GR) logging series, high-resolution elemental geochemical data, high-resolution core scanning photos and grayscale data, and mineralogical data were used to characterize the cyclicity of shale at different scales, and their relationship with different astronomical cycles was discussed. The results show that the Es3L and Es4U shale in the Dongying Sag has cyclicity from the meter-scale to the ten-meter scale and then to the hundred-meter scale, which is mainly manifeste... [more]
Experimental Development of Calcium Looping Carbon Capture Processes: An Overview of Opportunities and Challenges
Rubens C. Toledo, Gretta L. A. F. Arce, João A. Carvalho Jr, Ivonete Ávila.
May 23, 2023 (v1)
Keywords: bibliometric analysis, calcium looping, Carbon Capture, fluidized bed, scientific gaps.
Global warming might be mitigated if emissions were interrupted through carbon capture technologies, as there is a significant amount of comprehensive studies on them. An outline of the main gaps and trends of a technology is critical for further development. In this context, this study provides an overview of calcium looping carbon capture processes that have proven their potential and commercial viability. A bibliometric analysis is conducted on both Scopus and Web of Science database by seeking the keywords “calcium looping”, “co2 capture”, and “fluidized bed” in titles, abstracts, and keywords. Word selection was based on a list of relevant papers on the topic. These items of data have been processed and analyzed based on the number of publications and citations by emphasizing recent publication evolution, journal influence, the use of specific keywords, and co-citation. Results reveal that the European Union (EU) leads the rankings on the topic, followed by Canada. Keyword choice... [more]
Grid-Tied Single-Phase Integrated Zeta Inverter for Photovoltaic Applications
Anderson Aparecido Dionizio, Leonardo Poltronieri Sampaio, Sérgio Augusto Oliveira da Silva, Sebastián de Jesús Manrique Machado.
May 23, 2023 (v1)
Keywords: DC-AC power conversion, integrated inverter, integrated zeta inverter, photovoltaic systems, zeta converter.
Recently, the development of integrated inverters for photovoltaic systems has been widely performed to reduce overall system size, costs, and losses. Thus, integrated inverters have emerged as a prominent solution for replacing two-stage power conversion composed of a step-up converter and a voltage source inverter. Thereby, this paper proposes an integrated inverter topology for single-phase grid-tied photovoltaic systems. The proposed power converter, called a Single-Phase Integrated Zeta Inverter (SP-IZI), can boost the input voltage and inject a sinusoidal and regulated current into the mains with low harmonic distortion. The SP-IZI is based on integrating modified DC-DC Zeta converters, designed and controlled to operate in a discontinuous conduction mode, and presents similarities with the Modified Zeta Inverter (MZI). In this way, this paper compares the main parameters of both topologies and provides a complete study of the SP-IZI, involving both quantitative and qualitative s... [more]
Improving Thermal Stability of Perovskite Solar Cells by Thermoplastic Additive Engineering
Zaheen Uddin, Junhui Ran, Elias Stathatos, Bin Yang.
May 23, 2023 (v1)
Keywords: halide perovskites, solar cells, thermal stability, thermoplastic additives.
The commercialization of perovskite solar cells is hindered by the poor thermal stability of organic−inorganic hybrid perovskite materials. Herein, we demonstrate that crystalline thermoplastic polymer additives, such as a mixture of polyethylene oxide (PEO, 100,000 MW) and polyethylene glycol (PEG, 12,000 MW), can improve the thermal stability of CH3NH3PbI3 (MAPbI3) perovskites and thereby enhance device stability. High-quality less-defect perovskite films were obtained by establishing a strong reaction between hydroxy groups in the PEO + PEG mixture and the uncoordinated Pb2+ in MAPbI3 perovskites, leading to a high power conversion efficiency of over 18% despite the presence of insulating thermoplastic polymers in the MAPbI3 film. More importantly, as compared with pristine MAPbI3 perovskite solar cells, the PEO + PEG-modified counterparts showed significantly improved stability under thermal treatment at 85 °C in ambient air with a relative humidity of 50−60%, remaining at nearly 7... [more]
Establishment of Austria’s First Regional Green Hydrogen Economy: WIVA P&G HyWest
Nikolaus Fleischhacker, Niusha Shakibi Nia, Markus Coll, Ewald Perwög, Helmut Schreiner, Andreas Burger, Emmanuel Stamatakis, Ernst Fleischhacker.
May 23, 2023 (v1)
Subject: Environment
Keywords: circular economy, energy autonomy, green hydrogen economy, green industry, green mobility, Sustainability.
The regional parliament of Tyrol in Austria adopted the climate, energy, and resources strategy “Tyrol 2050 energy autonomous” in 2014 with the aim to become climate neutral and energy autonomous. “Use of own resources before others do, or have to do” is the main principle within this long-term strategic approach, in which the “power on demand” process is a main building block and the “power-to-hydrogen” process covers the intrinsic lack of a long-term, large-scale storage of electricity. Within this long-term strategy, the national research and development (R&D) flagship project WIVA P&G HyWest (ongoing since 2018) aims at the establishment of the first sustainable, business-case-driven, regional, green hydrogen economy in central Europe. This project is mainly based on the logistic principle and is a result of synergies between three ongoing complementary implementation projects. Among these three projects, to date, the industrial research within “MPREIS Hydrogen” resulted in the fir... [more]
Improving Ecological Efficiency of Gas Turbine Power System by Combusting Hydrogen and Hydrogen-Natural Gas Mixtures
Serhiy Serbin, Mykola Radchenko, Anatoliy Pavlenko, Kateryna Burunsuz, Andrii Radchenko, Daifen Chen.
May 23, 2023 (v1)
Keywords: combustion chamber, ecological parameters, fuel, fuel cell, gas turbine, hybrid power plant, Hydrogen.
Currently, the issue of creating decarbonized energy systems in various spheres of life is acute. Therefore, for gas turbine power systems including hybrid power plants with fuel cells, it is relevant to transfer the existing engines to pure hydrogen or mixtures of hydrogen with natural gas. However, significant problems arise associated with the possibility of the appearance of flashback zones and acoustic instability of combustion, an increase in the temperature of the walls of the flame tubes, and an increase in the emission of nitrogen oxides, in some cases. This work is devoted to improving the efficiency of gas turbine power systems by combusting pure hydrogen and mixtures of natural gas with hydrogen. The organization of working processes in the premixed combustion chamber and the combustion chamber with a sequential injection of ecological and energy steam for the “Aquarius” type power plant is considered. The conducted studies of the basic aerodynamic and energy parameters of... [more]
Environmental Assessment of Hellisheidi Geothermal Power Plant based on Exergy Allocation Factors for Heat and Electricity Production
Maryori Díaz-Ramírez, Snorri Jokull, Claudio Zuffi, María Dolores Mainar-Toledo, Giampaolo Manfrida.
May 23, 2023 (v1)
Subject: Environment
Keywords: district heating system, electricity, environmental indicators, Exergy, geothermal energy, life-cycle assessment.
The Hellisheidi geothermal power plant, located in Iceland, is a combined heat and power double-flash geothermal plant with an installed capacity of 303.3 MW of electricity and 133 MW of hot water. This study aimed to elucidate the environmental impacts of the electricity and heat production from this double-flash geothermal power plant. In this vein, firstly, the most updated inventory of the plant was generated, and secondly, a life-cycle assessment approach based on the exergy allocation factor was carried out instead of applying the traditionally used allocations in terms of mass and energy. The functional unit was defined as the production of 1 kWh of electricity and 1 kWh of hot water for district heating. The life-cycle stages included the (i) construction, (ii) operation (including abatement operations and maintenance), and (iii) well closure of the geothermal plant. All of the life-cycle stages from construction to dismantling were considered. Finally, the results on the parti... [more]
Application of an NDIR Sensor System Developed for Early Thermal Runaway Warning of Automotive Batteries
Yulu Han, Yongmin Zhao, Anjie Ming, Yanyan Fang, Sheng Fang, Shansong Bi, Jiezhi Chen, Ran Xu, Feng Wei, Changhui Mao.
May 23, 2023 (v1)
Keywords: automotive battery, NDIR gas sensor, overcharge, thermal runaway.
This paper proposes to apply a newly developed Non-Dispersive Infrared Spectroscopy (NDIR) gas sensing system composed of pyroelectric infrared detectors to monitor the thermal runaway (TR) process of lithium-ion batteries in real time and achieve an early warning system for the battery TR process. The new Electrical Vehicle Safety—Global Technical Regulation (EVS-GTR) requires that a warning be provided to passengers at least five minutes before a serious incident. The experimental results indicate that carbon dioxide and methane gas were detected during the overcharge test of the automotive battery, and the target gas was detected 25 s in advance before the battery TR when the battery vent was closed. In order to further explore the battery TR mechanism, an experiment was carried out using the battery sample with the battery vent opened. The target gas was detected about 580 s before the battery temperature reached the common alarm temperature (60 °C) of the battery management system... [more]
Revolutionizing Photovoltaic Systems: An Innovative Approach to Maximum Power Point Tracking Using Enhanced Dandelion Optimizer in Partial Shading Conditions
Elmamoune Halassa, Lakhdar Mazouz, Abdellatif Seghiour, Aissa Chouder, Santiago Silvestre.
May 23, 2023 (v1)
Subject: Optimization
Keywords: dandelion optimizer, maximum power point tracker (MPPT), Optimization, partial shading conditions (PSCs), photovoltaic.
Partial shading (PS) is a prevalent phenomenon that often affects photovoltaic (PV) installations, leads to the appearance of numerous peaks in the power-voltage characteristics of PV cells, caused by the uneven distribution of solar irradiance on the PV module surface, known as global and local maximum power point (GMPP and LMPP). In this paper, a new technique for achieving GMPP based on the dandelion optimizer (DO) algorithm is proposed, inspired by the movement of dandelion seeds in the wind. The proposed technique aimed to enhance the efficiency of power generation in PV systems, particularly under PS conditions. However, the DO-based MPPT is compared with other advanced maximum power point tracker (MPPT) algorithms, such as Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), Artificial Bee Colony (ABC), Cuckoo Search Algorithm (CSA), and Bat Algorithm (BA). Simulation results establish the superiority and effectiveness of the used MPPT in terms of tracking efficiency... [more]
Showing records 3559 to 3583 of 43292. [First] Page: 1 140 141 142 143 144 145 146 147 148 Last
(0.13 seconds) 0 + 0
[Show List of Record Types]