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Showing records 12018 to 12042 of 43292. [First] Page: 1 478 479 480 481 482 483 484 485 486 Last
Hydrocracking of a Heavy Vacuum Gas Oil with Fischer−Tropsch Wax
Olga Pleyer, Dan Vrtiška, Petr Straka, Aleš Vráblík, Jan Jenčík, Pavel Šimáček
April 4, 2023 (v1)
Keywords: Alternative Fuels, co-processing, Fischer–Tropsch synthesis, hydrocracking
Catalytic hydrocracking represents an optimal process for both heavy petroleum fractions and Fischer−Tropsch (FT) wax upgrading because it offers high flexibility regarding the feedstock, reaction conditions and products’ quality. The hydrocracking of a heavy vacuum gas oil with FT wax was carried out in a continuous-flow catalytic unit with a fixed-bed reactor and a co-current flow of the feedstock and hydrogen at the reaction temperatures of 390, 400 and 410 °C and a pressure of 8 MPa. The increasing reaction temperature and content of the FT wax in the feedstock caused an increasing yield in the gaseous products and a decreasing yield in the liquid products. The utilisation of the higher reaction temperatures and feedstocks containing the FT wax showed a positive influence on the conversion of the fraction boiling above 400 °C to lighter fractions. Although the naphtha and middle distillate fractions obtained via atmospheric and vacuum distillations of the liquid products of hydrocr... [more]
Classification of Partial Discharge Images Using Deep Convolutional Neural Networks
Marek Florkowski
April 4, 2023 (v1)
Keywords: convolutional neural network, deep learning, diagnostics, high voltage insulation, Machine Learning, partial discharges, phase-resolved patterns
Artificial intelligence-based solutions and applications have great potential in various fields of electrical power engineering. The problem of the electrical reliability of power equipment directly refers to the immunity of high-voltage (HV) insulation systems to operating stresses, overvoltages and other stresses—in particular, those involving strong electric fields. Therefore, tracing material degradation processes in insulation systems requires dedicated diagnostics; one of the most reliable quality indicators of high-voltage insulation systems is partial discharge (PD) measurement. In this paper, an example of the application of a neural network to partial discharge images is presented, which is based on the convolutional neural network (CNN) architecture, and used to recognize the stages of the aging of high-voltage electrical insulation based on PD images. Partial discharge images refer to phase-resolved patterns revealing various discharge stages and forms. The test specimens w... [more]
Representative Environmental Condition for Fatigue Analysis of Offshore Jacket Substructure
Tsung-Yueh Lin, Yi-Qing Zhao, Hsin-Haou Huang
April 4, 2023 (v1)
Subject: Environment
Keywords: Dirlik method, fatigue analysis, jacket substructure, representative sea state
The 20-year cumulative fatigue damage of an offshore jacket substructure was estimated under the long-term local environmental conditions in the Taiwan Strait. Because of the nonlinearity of wave load for slender members of the structure, time-domain simulations of the dynamic finite element model were conducted for each sea state. By utilizing the Dirlik method to process the stress signals, the fatigue damages of joints were computed. Concerning the computational time, we propose a probability-based method of using a representative combination of environmental conditions in this study, which can considerably reduce the required number of evaluations prior to determining fatigue damage, thereby improving the process of preliminary design. The results show that only three sea states among 120 can represent 28% of the average damage ratio, and up to 17 sea states fully resolved the fatigue life.
Low Emissions Resulting from Combustion of Forest Biomass in a Small Scale Heating Device
Karol Tucki, Olga Orynycz, Andrzej Wasiak, Antoni Świć, Leszek Mieszkalski, Joanna Wichłacz
April 4, 2023 (v1)
Keywords: Biomass, construction, heating device, low emissions, pellets, woodchips
The paper concerns the analysis of harmful emissions during the combustion process in households. The subject of the analysis is a low emission heating device with an output of 50 kW for burning biomass of forest origin (low-quality hardwoods or softwoods). The proposed boiler is automatically fed from the connected container by means of a screw conveyor. In this way, the optimum amount of fuel is supplied for maximum heat output (adjustment of the ratio of primary air to fuel). The proposed biomass heating system is equipped with a primary and secondary air supply system and exhaust gas sensors. This ensures optimal regulation of the air mixture and efficient and clean combustion. Proper control of the combustion process, control of the air supply by means of a lambda sensor and power control of the system ensure a low-emission combustion process. The system precisely adjusts to the heat demand. This results in highly efficient heating technology with low operating costs. In the prese... [more]
Geological Map of the Tocomar Basin (Puna Plateau, NW Argentina). Implication for the Geothermal System Investigation
Rubén Filipovich, Walter Báez, Gianluca Groppelli, Florencia Ahumada, Luca Aldega, Raúl Becchio, Gabriele Berardi, Sabina Bigi, Chiara Caricchi, Agostina Chiodi, Sveva Corrado, Gianfilippo De Astis, Arnaldo A. De Benedetti, Chiara Invernizzi, Gianluca Norini, Michele Soligo, Sara Taviani, José G. Viramonte, Guido Giordano
April 4, 2023 (v1)
Subject: Materials
Keywords: central Puna, geothermal exploration, Southern Central Andes, U/Th dating
This paper presents a detailed geological map at the 1:20,000 scale of the Tocomar basin in the Central Puna (north-western Argentina), which extends over an area of about 80 km2 and displays the spatial distribution of the Quaternary deposits and the structures that cover the Ordovician basement and the Tertiary sedimentary and volcanic units. The new dataset includes litho-facies descriptions, stratigraphic and structural data and new 234U/230Th ages for travertine rocks. The new reconstructed stratigraphic framework, along with the structural analysis, has revealed the complex evolution of a small extensional basin including a period of prolonged volcanic activity with different eruptive centres and styles. The geological map improves the knowledge of the geology of the Tocomar basin and the local interplay between orogen-parallel thrusts and orogen-oblique fault systems. This contribution represents a fundamental support for in depth research and also for encouraging geothermal exp... [more]
Faulty Synchronization of Salient Pole Synchronous Hydro Generator
Adam Gozdowiak
April 4, 2023 (v1)
Keywords: electrical machine, faulty synchronization, field-circuit modeling, finite element method, hydro generator
This article presents the simulation results of hydro generator faulty synchronization during connection to the grid for various voltage phase shift changes in a full range (−180°; 180°). A field-circuit model of salient pole synchronous hydro generator was used to perform the calculation results. It was verified using the measured no-load and three-phase short-circuit characteristics. This model allowed observing the physical phenomena existing in the investigated machine, especially in the rotor which was hardly accessible for measurement. The presented analysis shows the influence of faulty synchronization on the power system stability and the construction components which are the most vulnerable to damage. From a mechanical point of view, the most dangerous case was for the voltage phase shift equal to −120°, and this case was analyzed in detail. Great emphasis was placed on the following physical quantities: electromagnetic torque, stator current, stator voltage, rotor current, cu... [more]
Developing Induction Motor State Observers with Increased Robustness
Tadeusz Białoń, Marian Pasko, Roman Niestrój
April 4, 2023 (v1)
Keywords: induction motor, Luenberger observer, pole placement
This paper presents the results of recently conducted research on Luenberger observers with non-proportional feedbacks. The observers are applied for the reconstruction of magnetic fluxes of an induction motor. Structures of the observers known from the control theory are presented. These are a proportional observer, a proportional-integral observer, a modified integral observer, and an observer with additional integrators. The practical application of some of these observers requires modifications to their structures. In the paper, the simulation results for all mentioned types of observers are presented. The simulations are performed with a Scilab-Xcos model which is attached to this paper. The problem of gains selection of the observers is discussed. Gains are selected with the described optimization method based on a genetic algorithm. A Scilab file launching the genetic algorithm also is attached to this paper.
Integration of Large-Scale Variable Renewable Energy Sources into the Future European Power System: On the Curtailment Challenge
Chloi Syranidou, Jochen Linssen, Detlef Stolten, Martin Robinius
April 4, 2023 (v1)
Keywords: dispatch model, integration, load shifting, power system, renewable curtailments, renewables, transmission grid
The future European power system is projected to rely heavily on variable renewable energy sources (VRES), primarily wind and solar generation. However, the difficulties inherent to storing the primary energy of these sources is expected to pose significant challenges in terms of their integration into the system. To account for the high variability of renewable energy sources VRES, a novel pan-European dispatch model with high spatio-temporal resolution including load shifting is introduced here, providing highly detailed information regarding renewable energy curtailments for all Europe, typically underestimated in studies of future systems. which also includes modeling of load shifting. The model consists of four separate levels with different approaches for modeling thermal generation flexibility, storage units and demand as well as with spatial resolutions and generation dispatch formulations. Applying the developed model for the future European power system follows the results of... [more]
The Energy and Exergy of Light with Application to Societal Exergy Analysis
Matthew Kuperus Heun, Zeke Marshall, Emmanuel Aramendia, Paul E. Brockway
April 4, 2023 (v1)
Keywords: efficiency, Exergy, illumination, light, lumen, luminous efficacy, radiation, spectrum, thermodynamics
Lighting provides an indispensable energy service, illumination. The field of societal exergy analysis considers light (and many other energy products) to be enablers of economic growth, and lighting contributes a non-negligible proportion of total useful exergy supplied to modern economies. In societal exergy analysis, the exergetic efficiency of electric lamps is central to determining the exergy contribution of lighting to an economy. Conventionally, societal exergy practitioners estimate the exergetic efficiency of lamps by an energy efficiency, causing confusion and, sometimes, overestimation of exergetic efficiency by a factor as large as 3. In response, we use recent results from the fields of radiation thermodynamics and photometry to develop an exact method for calculating the exergy of light and the exergetic efficiency of lamps. The exact method (a) is free of any assumptions for the value of the maximum luminous efficacy, (b) uses a non-unity spectral exergy-to-energy ratio... [more]
Analysis of Random Forest Modeling Strategies for Multi-Step Wind Speed Forecasting
Daniel Vassallo, Raghavendra Krishnamurthy, Thomas Sherman, Harindra J. S. Fernando
April 3, 2023 (v1)
Keywords: Machine Learning, random forest, wind speed forecasting
Although the random forest (RF) model is a powerful machine learning tool that has been utilized in many wind speed/power forecasting studies, there has been no consensus on optimal RF modeling strategies. This study investigates three basic questions which aim to assist in the discernment and quantification of the effects of individual model properties, namely: (1) using a standalone RF model versus using RF as a correction mechanism for the persistence approach, (2) utilizing a recursive versus direct multi-step forecasting strategy, and (3) training data availability on model forecasting accuracy from one to six hours ahead. These questions are investigated utilizing data from the FINO1 offshore platform and Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) C1 site, and testing results are compared to the persistence method. At FINO1, due to the presence of multiple wind farms and high inter-annual variability, RF is more effective as an error-correction mechanism... [more]
Global Sliding-Mode Suspension Control of Bearingless Switched Reluctance Motor under Eccentric Faults to Increase Reliability of Motor
Pulivarthi Nageswara Rao, Ramesh Devarapalli, Fausto Pedro García Márquez, Hasmat Malik
April 3, 2023 (v1)
Keywords: bearingless, displacements, global sliding-mode control, robust, suspension
Bearingless motor development is a substitute for magnetic bearing motors owing to several benefits, such as nominal repairs, compactness, lower cost, and no need for high-power amplifiers. Compared to conventional motors, rotor levitation and its steady control is an additional duty in bearingless switched reluctance motors when starting. For high-speed applications, the use of simple proportional integral derivative and fuzzy control schemes are not in effect in suspension control of the rotor owing to inherent parameter variations and external suspension loads. In this paper, a new robust global sliding-mode controller is suggested to control rotor displacements and their positions to ensure fewer eccentric rotor displacements when a bearingless switched reluctance motor is subjected to different parameter variations and loads. Extra exponential fast-decaying nonlinear functions and rotor-tracking error functions have been used in the modeling of the global sliding-mode switching su... [more]
Effects of Fluid Viscosity and Two-Phase Flow on Performance of ESP
Peng Liu, Yumo Wang, Feng Yan, Chaofei Nie, Xin Ouyang, Jiashuang Xu, Jing Gong
April 3, 2023 (v1)
Keywords: computational fluid dynamics (CFD), electric submersible pumps (ESPs), flow pattern, two-phase flow, viscosity effect
Electric submersible pumps (ESPs) are widely used in the oil and gas industry for crude-oil lifting, especially in subsea oil fields or underground storage caverns. The failure of ESPs causes a large economic cost mainly attributed to a break in production continuity, as the ESP cannot be easily replaced. Therefore, the assurance of safe and efficient operation of ESPs has attracted high attention in recent years, although the problem still remains challenging given the complexity of carrying fluid and the mechanical structure of the ESP. In this article, we systematically review both the high-impact, classic contributions and the most up-to-date, current opinions in experimental and numerical advances of viscous effects and two-phase flow in ESPs. We specifically focus on the applications in the oil and gas industry and point out a few current challenges in the operation of ESPs. We aim to guide the audience which is new to the area of ESPs to the correct articles related to their int... [more]
Scaling-Up the Anaerobic Digestion of Pretreated Microalgal Biomass within a Water Resource Recovery Facility
Rubén Díez-Montero, Lucas Vassalle, Fabiana Passos, Antonio Ortiz, María Jesús García-Galán, Joan García, Ivet Ferrer
April 3, 2023 (v1)
Keywords: agricultural runoff, anaerobic digestion, biogas, biomethane, biorefinery, microalgae, photobioreactor, pretreatment, Wastewater
Microalgae-based wastewater treatment plants are low-cost alternatives for recovering nutrients from contaminated effluents through microalgal biomass, which may be subsequently processed into valuable bioproducts and bioenergy. Anaerobic digestion for biogas and biomethane production is the most straightforward and applicable technology for bioenergy recovery. However, pretreatment techniques may be needed to enhance the anaerobic biodegradability of microalgae. To date, very few full-scale systems have been put through, due to acknowledged bottlenecks such as low biomass concentration after conventional harvesting and inefficient processing into valuable products. The aim of this study was to evaluate the anaerobic digestion of pretreated microalgal biomass in a demonstration-scale microalgae biorefinery, and to compare the results obtained with previous research conducted at lab-scale, in order to assess the scalability of this bioprocess. In the lab-scale experiments, real municipa... [more]
Energy-Saving Train Regulation for Metro Lines Using Distributed Model Predictive Control
Fei Shang, Jingyuan Zhan, Yangzhou Chen
April 3, 2023 (v1)
Keywords: distributed, energy saving, metro line, Model Predictive Control, operational constraints, train regulation
Due to environmental concerns, the energy-saving train regulation is necessary for urban metro transportation, which can improve the service quality and energy efficiency of metro lines. In contrast to most of the existing research of train regulation based on centralized control, this paper studies the energy-saving train regulation problem by utilizing distributed model predictive control (DMPC), which is motivated by the breakthrough of vehicle-based train control (VBTC) technology and the pressing real-time control demand. Firstly, we establish a distributed control framework for train regulation process assuming each train is self-organized and capable to communicate with its preceding train. Then we propose a DMPC algorithm for solving the energy-saving train regulation problem, where each train determines its control input by minimizing a constrained local cost function mainly composed of schedule deviation, headway deviation, and energy consumption. Finally, simulations on trai... [more]
Analysing the Material Suitability and Concentration Ratio of a Solar-Powered Parabolic trough Collector (PTC) Using Computational Fluid Dynamics
Mohammad Akrami, Husain Alsari, Akbar A. Javadi, Mahdieh Dibaj, Raziyeh Farmani, Hassan E.S. Fath, Alaa H. Salah, Abdelazim Negm
April 3, 2023 (v1)
Keywords: clean production, Computational Fluid Dynamics, desalination, parabolic trough collector, Renewable and Sustainable Energy, solar energy, sustainable
Solar-powered desalination is a sustainable solution for countries experiencing water scarcity. Several studies have presented different solutions to provide cleaner production in desalination systems. Parabolic trough collector (PTC) is one of these solutions that has proven to be superior among solar concentrators. Furthermore, a number of studies have investigated the use of PTC for distillation of saline water in response to water scarcity. In this study, a modified PTC model was developed, in which the heat exchanger was replaced by a condensation tube to reduce the energy consumption, and a black layer was introduced to the surface of the receiver to enhance its absorptance. As a reference case, the system productivity according to average solar intensities in Zagazig, located at 30°34′N 31°30′E in the North East of Egypt, is estimated. The results indicated that the maximum production rate that can be attained is 1.72 kg/h. Then, the structure of the system is evaluated with the... [more]
Toward the Optimal Operation of Hybrid Renewable Energy Resources in Microgrids
Shabir Ahmad, Israr Ullah, Faisal Jamil, DoHyeun Kim
April 3, 2023 (v1)
Subject: Environment
Keywords: cost minimization, microgrids, optimal sizing problems, optimization problems, Renewable and Sustainable Energy, sustainable development
Renewable energy sources are environmentally friendly and cost-efficient. However, the problem with these renewable resources is their heavy reliance on weather conditions. Thus, at times, these solutions are not guaranteed to meet the required demand all the time. For this, hybrid microgrids are introduced, which have a combination of both renewable energy sources and non-renewable energy resources. In this paper, a cost-efficient optimization algorithm is proposed that minimizes the use of non-renewable energy sources. It maximizes the use of renewable energy resources by meeting the demand for utility grids. Real data based on the load and demand of the utility grids in Italy is used, and a system that determines the optimal sizing of the microgrid and a daily plan is introduced to optimize the renewable resources operations. As part of the proposal, the objective function for the operation and planning of the microgrid in such a way to minimize cost is formulated. Moreover, a varia... [more]
Longitudinal Actuated Abdomen Control for Energy Efficient Flight of Insects
Titilayo Ogunwa, Blake McIvor, Nurkhairunisa Awang Jumat, Ermira Abdullah, Javaan Chahl
April 3, 2023 (v1)
Keywords: aircraft, biological inspiration, dragonfly, inertial, insect
The actuated abdomens of insects such as dragonflies have long been suggested to play a role in optimisation and control of flight. We have examined the effect of this type of actuation in the simplified case of a small fixed wing aircraft to determine whether energetic advantages exist in normal flight when compared to the cost of actuation using aerodynamic control surfaces. We explore the benefits the abdomen/tail might provide to balance level flight against trim changes. We also consider the transient advantage of using alternative longitudinal control effectors in a pull up flight maneuver. Results show that the articulated abdomen significantly reduces energy consumption and increase performance in isolated manoeuvres. The results also indicate a design feature that could be incorporated into small unmanned aircraft under particular circumstances. We aim to highlight behaviours that would increase flight efficiency to inform designers of micro aerial vehicles and to aid the anal... [more]
Phase Analysis of Series Arc Signals for Low-Voltage Electrical Devices
Hong-Keun Ji, Sung-Wook Kim, Gyung-Suk Kil
April 3, 2023 (v1)
Keywords: electrical fires, low-voltage electrical devices, phase analysis, series arc
An arc fault is an electrical breakdown of the insulating medium in an electrical system. When arc faults occur, they cause electrical fires with local sparks and temperatures of over 5000 °C. A series arc is generated in series with a load due to an incomplete connection between cords or a loose connection between a cord and terminal. However, it is hard to detect series arc faults with arc protection devices because the fault current flowing by series arc in the circuit is not higher than the load current. Especially in Korea, preventing electrical fires by series arc is rarely applied because there is no national standard for arc fault circuit interrupters (AFCI) and arc fault detection devices (AFDD). Therefore, many studies for reliable arc detection and analysis are still necessary to prevent electrical fires. In this study, phase analyses of series arc signals for low-voltage electrical devices such as heaters, computers, refrigerators, and air conditioners were conducted. The a... [more]
Conditions of the Occurrence of the Environmental Kuznets Curve in Agricultural Production of Central and Eastern European Countries
Piotr Kułyk, Łukasz Augustowski
April 3, 2023 (v1)
Subject: Environment
Keywords: CO2 emission, countries of Central and Eastern Europe, economic determinants, EKC hypothesis, panel data analysis, public goods
The article examines the relationship between CO2 equivalent emissions and agricultural production, taking into account additional economic and social variables that correct the considered relationship for the six Central and Eastern European countries over the period 1992−2017. The aim of the article was to confirm or negate the occurrence of the environmental Kuznets curve (EKC) in the countries of Central and Eastern Europe. Countries that experienced a political transformation and were subsequently admitted to the European Union (EU) undergoing a preparatory period were included. The topic is timely as all EU countries are required to monitor their emissions under the EU Climate Monitoring Mechanism. The discussed problem is significant due to the changes taking place in the common agricultural policy, the choice of actions to be taken by individual countries in their national policies, and the choice of instruments to support the transformation of agriculture. Agriculture has a pa... [more]
Calculations of Electrodynamic Forces in Three-Phase Asymmetric Busbar System with the Use of FEM
Michał Szulborski, Sebastian Łapczyński, Łukasz Kolimas, Łukasz Kozarek, Desire Dauphin Rasolomampionona
April 3, 2023 (v1)
Keywords: analysis, analytical calculations, asymmetric busbar system, design methods, EIPB, electrodynamic forces, FEM, Simulation
Proper busbar selection based on analytical calculations is of great importance in terms of power grid functioning and its safe usage. Experimental tests concerning busbars are very expensive and difficult to be executed. Therefore, the great advantage for setting the valid parameters for busbar systems components are analytical calculations supported by FEM (finite element method) modelling and analysis. Determining electrodynamic forces in busbar systems tends to be crucial with regard to subsidiary, dependent parameters. In this paper analytical calculations of asymmetric three-phase busbar system were carried out. Key parameters, like maximal electrodynamic forces value, mechanical strength value, busbar natural frequency, etc., were calculated. Calculations were conducted with an ANSYS model of a parallel asymmetric busbar system, which confirmed the obtained results. Moreover, showing that a model based on finite elements tends to be very helpful in the selection of unusually-sha... [more]
Impact of DSM on Energy Management in a Single-Family House with a Heat Pump and Photovoltaic Installation
Sławomir Zator, Waldemar Skomudek
April 3, 2023 (v1)
Keywords: demand-side management, Energy Storage, heat pump
This article presents a case study of a single-family house, whose current energy source is electricity only. Nine years ago, the heat source for the heating system and domestic hot water was an oil boiler, which was changed to an air−water heat pump. Four years ago, when Poland formed the basis of the prosumer market, the first photovoltaic system was established. It was expanded in the following years. In this work are presented the impact of using a heat accumulator on the coefficient of performance of the heat pump, the self-consumption of energy from the photovoltaic system, and the cost of purchasing energy. Comparative calculations were made, with the demand-side management (DSM) active on work days, and on free days (weekends and public holidays) it was not. Attention was paid to the self-consumption factor depending on the algorithms used in an energy meter. The prosumer market in Poland was also described. The calculations described the house as having an annual energy self-c... [more]
Finite Control Set MPC with Fixed Switching Frequency Applied to a Grid Connected Single-Phase Cascade H-Bridge Inverter
Roberto O. Ramírez, Carlos R. Baier, José Espinoza, Felipe Villarroel
April 3, 2023 (v1)
Keywords: FCS-MPC, grid connected inverters, predictive control, spread spectrum, switching frequency
Finite control set model predictive control (FCS-MPC) has been widely investigated in recent years due to its ability to handle optimization problems with multiple control objectives in a diverse variety of systems. Moreover, its direct implementation in digital-based systems has made it an attractive strategy in static power converter applications. However, its characteristics such as variable switching frequency and spread harmonic spectrum limit the use of standard MPC due to power losses, audible noise, steady-state performance, and resonances. To mitigate these problems and extend the FCS-MPC applications to new areas, this paper proposes a new hybrid predictive control scheme, capable of achieving a harmonic spectrum distribution similar to that obtained with a pulse-width modulation scheme. The proposed strategy is based on a system model to generate an optimization, and, at the same time, an input restriction in the cost function of the standard FCS-MPC. This new approach is va... [more]
Application of the Homotopy Method for Fractional Inverse Stefan Problem
Damian Słota, Agata Chmielowska, Rafał Brociek, Marcin Szczygieł
April 3, 2023 (v1)
Keywords: fractional derivative, heat transfer, inverse problem, inverse Stefan problem, solidification
The paper presents an application of the homotopy analysis method for solving the one-phase fractional inverse Stefan design problem. The problem was to determine the temperature distribution in the domain and functions describing the temperature and the heat flux on one of the considered area boundaries. It was demonstrated that if the series constructed for the method is convergent then its sum is a solution of the considered equation. The sufficient condition of this convergence was also presented as well as the error of the approximate solution estimation. The paper also includes the example presenting the application of the described method. The obtained results show the usefulness of the proposed method. The method is stable for the input data disturbances and converges quickly. The big advantage of this method is the fact that it does not require discretization of the area and the solution is a continuous function.
The Green Versus Green Trap and a Way Forward
Haris Doukas, Alexandros Nikas, Giorgos Stamtsis, Ioannis Tsipouridis
April 3, 2023 (v1)
Subject: Energy Policy
Keywords: biodiversity, climate, integrative policy support, Renewable and Sustainable Energy, social participation
Massive deployment of renewables is considered as a decisive step in most countries’ climate efforts. However, at the local scale, it is also perceived by many as a threat to their rich and diverse natural environment. With this perspective, we argue that this green versus green pseudo-dilemma highlights how crucial a broad societal buy-in is. New, transparent, participatory processes and mechanisms that are oriented toward social licensing can now be employed. A novel, integrative research agenda must orbit around co-creation to enable and promote resource co-management and co-ownership where possible, with increased consensus.
Numerical Simulation for Void Coalescence (Water Treeing) in XLPE Insulation of Submarine Composite Power Cables
Monssef Drissi-Habti, Das Raj-Jiyoti, Soumianarayanan Vijayaraghavan, Ech-Cheikh Fouad
April 3, 2023 (v1)
Keywords: composites, insulators, Modelling, offshore wind energy, power cables, water trees
Due to the growing demand for offshore renewable energy, the development of durable submarine power cables is critical. Submarine power cables are expected to have a service life of over 20 years. However, it has been shown that these cables suffer from water-tree flaws that progressively extend to conductors and corrode copper, which may lead to premature failure. Water treeing is caused by the of interconnection of voids (of a few nanometers) that are present in the insulator after manufacturing or formed during operation. The economic consequences of a breakdown can be drastic due to the heavy maintenance required. In the current study, the insulator is modelled as cubic unit cells containing water voids in the form of ellipsoids. The displacement field of ellipsoids is found to be dependent on its distribution in the cubic cell and on the applied electric field. Von Mises stress and effective plastic strain at the tips of the ellipsoid are found to be significant when either the re... [more]
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