Ambient Fluctuations Research Articles

AI-enhanced time–frequency domain reflectometry for robust series arc fault detection in DC grids

The generation of series arc fault (SAF) within DC grids poses a significant hazard, potentially leading to electrical fires. However, developing a diagnostic method that is robust to the external environment and noise remains challenging. Conventional reflectometry methods are unable to discern minute impedance fluctuations at cable joint, as they analyze reflected signals generated at points of impedance mismatch to locate faults.This paper presents a new version of reflectometry, which merges artificial intelligence (AI) with the time–frequency domain reflectometry (TFDR) technique. In this study, we designed a structure that combines denoising autoencoders (DAE) with autoencoders (AE) to secure robust SAF detection performance against noise such as ambient environmental changes and weather fluctuations. Furthermore, the time-series generative adversarial network (TimeGAN) was utilized to generate synthetic data. Three experiments were conducted to verify the performance of the proposed method. (1) According to the UL1699B safety standard, an experiment was conducted under laboratory conditions to check whether a SAF could be detected within a maximum of 2.5s immediately after a SAF occurred. (2) To simulate external environmental conditions, a system connected to an inverter and a photovoltaic (PV) simulator was utilized to emulate the occurrence of SAFs. The manipulation of the PV simulator allowed for the simulation of solar irradiance changes due to weather variations and power fluctuations occurring immediately after the system’s power was turned on. This created an experimental setup that closely resembled actual PV systems, where the performance of the proposed algorithm was validated. (3) Finally, a 1kW capacity PV system was constructed, and SAF was simulated within it. The system was tested using four SAF detection methods, and the experimental results were compared and validated.

Alternative splicing plays a nonredundant role in greater amberjack (Seriola dumerili) in acclimation to ambient salinity fluctuations

Alternative splicing (AS) is an important post-transcriptional mechanism for adaptation of fish to environmental stress. Here, we performed a genome-wide investigation to AS dynamics in greater amberjack (Seriola dumerili), an economical marine teleost, in response to hypo- (10 ppt) and hyper-salinity (40 ppt) stresses. Totally, 2267–2611 differentially spliced events were identified in gills and kidney upon the exposure to undesired salinity regimes. In gills, genes involved in energy metabolism, stimulus response and epithelial cell differentiation were differentially spliced in response to salinity variation, while sodium ion transport and cellular amide metabolism were enhanced in kidney to combat the adverse impacts of salinity changes. Most of these differentially spliced genes were not differentially expressed, and AS was found to regulate different biological processes from differential gene expression, indicative of the functionally nonredundant role of AS in modulating salinity acclimation in greater amberjack. Together, our study highlights the important contribution of post-transcriptional mechanisms to the adaptation of fish to ambient salinity fluctuations and provides theoretical guidance for the conservation of marine fishery resources against increasingly environmental challenges.

Solar Wind Current Sheets: MVA Inaccuracy and Recommended Single‐Spacecraft Methodology

AbstractWe present the analysis of 1,831 current sheets (CS) observed aboard four Cluster spacecraft in a pristine solar wind. Four‐spacecraft estimates of the CS normal and propagation velocity are compared with different single‐spacecraft estimates. The Minimum Variance Analysis (MVA) of the magnetic field is shown to be highly inaccurate in estimating the normal. The MVA normal often differs by more than 60° from the normal obtained by multi‐spacecraft timing method, likely due to ambient turbulent fluctuations. In contrast, the cross‐product of magnetic fields at the CS boundaries delivers the normal with an uncertainty of less than 15° at the confidence level of 90%. The CSs are essentially frozen into plasma flow, since their propagation velocity is consistent with local ion flow velocity within 20% at the confidence level of 90%. The single‐spacecraft methodology based on the cross‐product method and frozen‐in assumption delivers the CS thickness and current density amplitude within 20% of their actual values at the confidence level of 90%. The CSs are kinetic‐scale structures with half‐thickness λ from a few tenths to tens of local proton inertial length λp and scale‐dependent shear angle and current density amplitude, and . The classification of the CSs in terms of tangential and rotational discontinuities remains a challenge, because even the four‐spacecraft normal has too large uncertainties to reveal the actual normal magnetic field component. The presented results will be valuable for the analysis of solar wind CSs, when only single‐spacecraft measurements are available.

Captive-reared Delta Smelt (Hypomesus transpacificus) exhibit high survival in natural conditions using in situ enclosures.

Conservation of endangered fishes commonly includes captive breeding, applied research, and management. Since 1996, a captive breeding program has existed for the federally threatened and California endangered Delta Smelt Hypomesus transpacificus, an osmerid fish endemic to the upper San Francisco Estuary. Although this program serves as a captive refuge population, with experimental releases being initiated to supplement the wild population, it was uncertain how individuals would survive, feed, and maintain condition outside hatchery conditions. We evaluated this and the effects of three enclosure designs (41% open, 63% open, and 63% open with partial outer mesh wrap) on growth, survival, and feeding efficacy of cultured Delta Smelt at two locations (Sacramento River near Rio Vista, CA and in Sacramento River Deepwater Ship Channel) in the wild. Enclosures exposed fish to semi-natural conditions (ambient environmental fluctuations and wild food resources) but prevented escape and predation. After four weeks, survival was high for all enclosure types (94-100%) at both locations. The change in condition and weight was variable between sites, increasing at the first location but decreasing at the second location. Gut content analysis showed that fish consumed wild zooplankton that came into the enclosures. Cumulatively, results show that captive-reared Delta Smelt can survive and forage successfully when housed in enclosures under semi-natural conditions in the wild. When comparing enclosure types, we observed no significant difference in fish weight changes (p = 0.58-0.81 across sites). The success of housing captive-reared Delta Smelt in enclosures in the wild provides preliminary evidence that these fish may be suitable to supplement the wild population in the San Francisco Estuary. Furthermore, these enclosures are a new tool to test the efficacy of habitat management actions or to acclimate fish to wild conditions as a soft release strategy for recently initiated supplementation efforts.

Errors in ambient gas concentration measurement caused by acoustic response of electrochemical gas sensors

Electrochemical sensors are used to measure electroactive gases in ambient air monitoring applications. These sensors typically contain sulfuric acid electrolyte, and porous carbon working, reference, and counter electrodes. Current fluctuations caused by fluctuations in the meniscus contact shape or area at the 3 phase gas-electrolyte-electrode interface as a result of ambient pressure fluctuations have been suggested as a potentially significant source of error in sensor measurements. We confirm in the present work that the pressure oscillations associated with ambient sound can indeed lead to significant signals. We show, for a variety of commercial sensors for ambient nitrogen dioxide (NO2), that acoustic noise equivalent to that from a nearby motorcycle or heavy goods vehicle can cause transient current fluctuations at 2 Hz sampling rate equivalent in the sensor output to as much as that due to 100 parts per billion by volume (ppb) of NO2, and with a root mean square (RMS) variation averaged over 10 s of approximately 40 ppb equivalent. These observations indicate that electrochemical gas sensors can behave as “microphones” in response to loud noise. The impact of acoustic noise should be considered when using electrochemical sensors to measure ambient air quality in areas of significant noise pollution, particularly if the aim is to resolve local transient concentration variations.

Robustness of entanglement in Hawking radiation for optical systems immersed in thermal baths

Entanglement is the quantum signature of Hawking's particle pair-creation from causal horizons, for gravitational and analog systems alike. Ambient thermal fluctuations, ubiquitous in realistic situations, strongly affects the entanglement generated in the Hawking process, completely extinguishing it when the ambient temperature is comparable to the Hawking temperature. In this work, we show that optical analog systems have a built-in robustness to thermal fluctuations which are at rest in the laboratory. In such systems, horizons move relative to the laboratory frame at velocities close to the speed of light. We find that a subtle interplay between this relative velocity and dispersion protects the Hawking-generated entanglement -- allowing ambient temperatures several orders of magnitude larger than the Hawking temperature without significantly affecting entanglement.

Correcting for the effect of ambient pressure fluctuations on measured output from a linear accelerator with a sealed monitor chamber

Objective. Ambient pressure fluctuations deform the walls of a sealed monitor chamber in a linear accelerator (LINAC) and affect the output. This study retrospectively quantified the output variations accompanying ambient pressure fluctuations in a LINAC equipped with a sealed monitor chamber and introduced a novel approach of calculating the adjusted output free from the effect of ambient pressure fluctuations. Approach. The output data for the 6 MV and 10 MV X-rays measured between March 2014 and September 2015 were analysed. This period was further divided into four sub-periods according to the output calibrations. Output behaviours were modelled using multiple regression analysis with ambient pressure and the time elapsed since the last calibration as explanatory variables. The output variations accompanying ambient pressure fluctuations were calculated using regression parameters and were subtracted from the measured outputs to obtain the adjusted outputs. Main results. The partial regression coefficients for ambient pressure varied from −2.3 × 10−4 to −1.8 × 10−4 cGy/MU/hPa for 6 MV and from −1.9 × 10−4 to −1.2 × 10−4 cGy/MU/hPa for 10 MV X-rays. These partial regression coefficient values were comparable among the four sub-periods and the two x-ray energies, respectively. These findings suggest that the degree of the output variations accompanying ambient pressure fluctuations is independent of x-ray energies and is determined by the internal structure of the chamber and the pressure differential between the inside and outside of the chamber. The adjusted outputs showed a better fit with the time trend line than the measured outputs. Significance. This study demonstrates a novel procedure for obtaining the adjusted outputs and allows precise observation of the output behaviours of a LINAC equipped with a sealed monitor chamber. Combined observation of the measured and adjusted output facilitates the detection of output anomalies, thus contributing to quality control (QC) of LINACs.

Enhancement of thermoelectric energy harvesting of thermal fluctuations with thermocapillary flows in phase-change materials embedded in metallic foams

We present a complete model of a thermoelectric micro-energy harvester to transform ambient thermal fluctuations into electricity that couples a thermoelectric generator (TEG) to a heat storage unit (HSU) filled by a phase-change material embedded in a metallic foam subjected to convective flows due to the Marangoni effect. Convective heat transfer at the HSU is simulated with the Darcy–Brinkman–Forchheimer bulk equations, a shear stress boundary depending on the porosity, and the phase change with the enthalpy-porosity method. The porous matrix weakens the Marangoni effect by decreasing the surface shear stress while increasing the effective thermal conductivity. Introducing the metallic foam multiplies the efficiency in the transformation between thermal spatial gradients and electric energy with respect to only Marangoni driving. For a heat storage unit of 8 cm times 1 cm, Darcy number Da =10^{-2} coupled to a TEG with Seebeck coefficient 0.027, we find that the harvested energy multiplies with respect to a base PCM driving by Marangoni: 3.2 times (23.6 J) for porosity epsilon =0.95, 3.9 times (28.4 J) for epsilon =0.9, 4.3 times (31 J) for epsilon =0.85. Decreasing the permeability augments the resistance to the convective flows and slightly reduces the electric energy generated.

Response of cyanobacterial mats to ambient phosphate fluctuations: phosphorus cycling, polyphosphate accumulation and stoichiometric flexibility

Cyanobacterial mats inhabit a variety of aquatic habitats, including the most extreme environments on Earth. They can thrive in a wide range of phosphorus (P) levels and are thus important players for ecosystem primary production and P cycling at the sediment-water interface. Polyphosphate (polyP), the major microbial P storage molecule, is assigned a critical role in compensating for phosphate fluctuations in planktonic cyanobacteria, but little is known about potentially analogous mechanisms of mat-forming cyanobacteria. To investigate acclimation strategies of cyanobacterial mats to fluctuating phosphate concentrations, laboratory batch experiments were conducted, in which the cosmopolitan mat-forming, marine cyanobacterium Sodalinema stali was exposed to low dissolved P concentrations, followed by a P pulse. Our results show that the cyanobacteria dynamically adjusted cellular P content to ambient phosphate concentrations and that they had accumulated polyP during periods of high phosphate availability, which was subsequently recycled to sustain growth during phosphate scarcity. However, following the depletion of dispensable cellular P sources, including polyP, we observed a reallocation of P contained in DNA into polyP, accompanied by increasing alkaline phosphatase activity. This suggests a change of the metabolic focus from growth towards maintenance and the attempt to acquire organic P, which would be naturally contained in the sediment. P overplus uptake following a simulated P pulse further suggests that Sodalinema-dominated mats exhibit elaborated mechanisms to cope with severe P fluctuations to overcome unfavourable environmental conditions, and potentially modulate critical P fluxes in the aquatic cycle.

Wall Insulation Materials in Different Climate Zones: A Review on Challenges and Opportunities of Available Alternatives

Buildings account for nearly one-third of overall energy consumption in today’s world energy status, in which a considerable part is used for indoor conditioning. Energy efficiency enhancement of buildings components and technologies is a key priority, given the essential need for carbon neutrality and climate change mitigation around the world. Exterior wall insulation is considered as the most effective technology for protecting buildings against continual ambient fluctuations. Proper design and implementation of wall insulation would lead to performance enhancement, energy conservation as well as improved thermal comfort. They can also protect building structures against corrosion and heat fatigue, extending the life of buildings. There are many different types of thermal insulation materials currently on the market, each with its own set of thermal qualities and functionality. This paper aims to examine the qualities, benefits, and drawbacks of several exterior wall insulation technologies, and provide recommendations for how to use various forms of exterior wall insulation in different climates.

A Practical Hybrid Height Estimation Algorithm Based on FM-Aided Motion Mode Recognition

Height estimation is critical for precise indoor localization in multistorey buildings. Traditionally, it is achieved by the barometric altimetry (BA)-based method, whose accuracy suffers from ambient barometric pressure fluctuations. Zero-velocity-update (ZUPT)-aided acceleration integration is another applicable approach, where zero velocity moments are introduced as calibration reference to limit error accumulation. However, zero velocity moments are derived from foot-mounted sensors in the stairs-climbing scenario, making it unavailable for other sensor locations and scenarios such as elevators. In this article, we propose a hybrid height estimation algorithm with both high accuracy and improved practicability. With the assistance of motion mode recognition (MMR), we apply a constraint on height estimations from both the BA-based method and the integration-based method, and then produce our height estimation by fusing the constraint heights. First, four typical motion modes comprising standing still, plane walking, climbing stairs, and taking elevator are recognized with features from acceleration, barometric pressure, and frequency-modulated (FM) signal. Second, we constrain the height estimations based on MMR results. To improve the BA-based method, a reference pressure update strategy is proposed to make the method applicable in an environment without reference barometers. Besides, the step-based integration strategy and the reverse compensation strategy are designed to optimize integration-based heights in stairs and elevators scenarios, respectively. Finally, the height estimations from these two sources are fused adaptively. Experiment results show that the accuracy of the proposed hybrid method outperforms that of the BA-based method. Moreover, the introduction of FM signal features effectively improves the performance of MMR and, thus, height estimation.

Observational Analysis and Numerical Modeling of the Solar Wind Fluctuation Spectra during Intervals of Plasma Instability

We perform a statistical analysis of observed magnetic spectra in the solar wind at 1 au with localized power elevations above the level of the ambient turbulent fluctuations. We show that the elevations are seen only when the intensity of the ambient fluctuations is sufficiently low. Assuming that the spectral elevations are caused by thermal-ion instabilities, this suggests that on average the effect of the solar wind background is strong enough to suppress the instability or obscure it or both. We then carry out nonlinear numerical simulations with particle ions and an electron fluid to model a thermal-ion instability coexisting with an ambient turbulence. The parameters of the simulation are taken from a known solar wind interval where an instability was assumed to exist based on the linear theory and a bi-Maxwellian fit of the observed distribution with core and secondary-beam protons. The numerical model closely matches the position of the observed spectral elevation in the wavenumber space. This confirms that the thermal-ion instability is responsible for the elevation. At the same time, the magnitude of the elevation turns out to be smaller than in the real solar wind. When higher intensity of the turbulence is used in the simulation, which is typical of solar wind in general, the power elevation is no longer seen. This is in agreement with the reduced observability of the elevations at higher intensities. However, the simulations show that the turbulence does not simply obscure the instability but also lowers its saturation level.

Cross-Axis Dynamic Field Compensation of Optically Pumped Magnetometer Arrays for MEG

We present dynamic field compensation (DFC), whereby three-axis field measurements from reference magnetometers are used to dynamically maintain null at the alkali vapor cells of an array of primary sensors that are proximal to a subject's scalp. Precision measurement of the magnetoencephalogram (MEG) by zero-field optically pumped magnetometer (OPM) sensors requires that sensor response is linear and sensor gain is constant over time. OPMs can be operated in open-loop mode, where the measured field is proportional to the output at the demodulated photodiode output, or in closed-loop, where on-board coils are dynamically driven to maintain the internal cell at zero field in the measurement direction. While OPMs can be operated in closed-loop mode along all three axes, this can increase sensor noise and poses engineering challenges. Uncompensated fluctuations in the ambient field along any statically nulled axes perturb the measured field by tipping the measurement axis and altering effective sensor gain – a phenomenon recently referred to as cross-axis projection error (CAPE). These errors are particularly problematic when OPMs are allowed to move in the remnant background field. Sensor gain-errors, if not mitigated, preclude precision measurements with OPMs operating in the presence of ambient field fluctuations within a typical MEG laboratory. In this manuscript, we present the cross-axis dynamic field compensation (DFC) method for maintaining zero field dynamically on all three axes of each sensor in an array of OPMs. Together, DFC and closed-loop operation strongly attenuate errors introduced by CAPE. This method was implemented by using three orthogonal reference sensors together with OPM electronics that permit driving each sensor's transverse field coils dynamically to maintain null field across its OPM measurement cell. These reference sensors can also be used for synthesizing 1st-gradient response to further reduce the effects of fluctuating ambient fields on measured brain activity and compensate for movement within a uniform field. We demonstrate that, using the DFC method, magnetic field measurement errors of less than 0.7% are easily achieved for an array of OPM sensors in the presence of ambient field perturbations of several nT.

A real-time calibration method of magnetometer array’s misalignment errors with ac modulated three-axis coil

The misalignment errors of magnetometer array are vulnerable to vibrations, which deteriorates the magnetic anomaly detection performance severely and brings strong demands for real-time calibrations. We propose a real-time calibration method of magnetometer array’s misalignment errors, which utilizes a standard three-axis coil to generate an alternating current magnetic field with varied magnitudes and directions. Then the misalignment errors are calibrated by minimizing the difference between experimentally calibrated magnetic fields of magnetometers and theoretically calculated magnetic fields of coils with the Levenberg–Marquardt algorithm and Biot-Savart’s law. It does not require the expensive high-precision non-magnetic rotation platform, homogenous magnetic environment and additional scalar magnetometer compared to the conventional methods, which facilitates the real-time calibration with ambient magnetic fluctuations. The investigations demonstrate that the X-axis magnetic field gradient is decreased from 3665 nT to 68 nT and localization error is reduced from 1.6 m to 0.11 m with the proposed calibration method.

Temperature increases induce metabolic adjustments in the early developmental stages of bigfin reef squid (Sepioteuthis lessoniana)

Climate changes, such as extreme temperature shifts, can have a direct and significant impact on animals living in the ocean system. Ectothermic animals may undergo concerted metabolic shifts in response to ambient temperature changes. The physiological and molecular adaptations in cephalopods during their early life stages are largely unknown due to the challenge of rearing them outside of a natural marine environment. To overcome this obstacle, we established a pelagic bigfin reef squid (Sepioteuthis lessoniana) culture facility, which allowed us to monitor the effects of ambient thermal elevation and fluctuation on cephalopod embryos/larvae. By carefully observing embryonic development in the breeding facility, we defined 23 stages of bigfin reef squid embryonic development, beginning at stage 12 (blastocyst; 72 h post-egg laying) and continuing through hatching (~1 month post-egg laying). Since temperature recordings from the bigfin reef squid natural habitats have shown a steady rise over the past decade, we examined energy substrate utilization and cellular/metabolic responses in developing animals under different temperature conditions. As the ambient temperature increased by 7 °C, hatching larvae favored aerobic metabolism by about 2.3-fold. Short-term environmental warming stress inhibited oxygen consumption but did not affect ammonium excretion in stage (St.) 25 larvae. Meanwhile, an aerobic metabolism-related marker (CoxI) and a cellular stress-responsive marker (HSP70) were rapidly up-regulated upon acute warming treatments. In addition, our simulations of temperature oscillations mimicking natural daily rhythms did not result in significant changes in metabolic processes in St. 25 animals. As the ambient temperature increased by 7 °C, referred to as heatwave conditions, CoxI, HSP70, and antioxidant molecule (SOD) were stimulated, indicating the importance of cellular and metabolic adjustments. As with other aquatic species with high metabolic rates, squid larvae in the tropical/sub-tropical climate zone undergo adaptive metabolic shifts to maintain physiological functions and prevent excessive oxidative stress under environmental warming.

Climatic influences on cardiovascular diseases.

Classical risk factors only partially account for variations in cardiovascular disease incidence; therefore, also other so far unknown features, among which meteorological factors, may influence heart diseases (mainly coronary heart diseases, but also heart failure, arrhythmias, aortic dissection and stroke) rates. The most studied phenomenon is ambient temperature. The relation between mortality, as well as cardiovascular diseases incidence, and temperature appears graphically as a ‘‘U’’ shape. Exposure to cold, heat and heat waves is associated with an increased risk of acute coronary syndromes. Other climatic variables, such as humidity, atmospheric pressure, sunlight hours, wind strength and direction and rain/snow precipitations have been hypothesized as related to fatal and non-fatal cardiovascular diseases incidence. Main limitation of these studies is the unavailability of data on individual exposure to weather parameters. Effects of weather may vary depending on other factors, such as population disease profile and age structure. Climatic stress may increase direct and indirect risks to human health via different, complex pathophysiological pathways and exogenous and endogenous mechanisms. These data have attracted growing interest because of the recent earth’s climate change, with consequent increasing ambient temperatures and climatic fluctuations. This review evaluates the evidence base for cardiac health consequences of climate conditions, and it also explores potential further implications.

Digital Control of a Superconducting Qubit Using a Josephson Pulse Generator at 3 K.

Scaling of quantum computers to fault-tolerant levels relies critically on the integration of energy-efficient, stable, and reproducible qubit control and readout electronics. In comparison to traditional semiconductor-control electronics (TSCE) located at room temperature, the signals generated by rf sources based on Josephson-junctions (JJs) benefit from small device sizes, low power dissipation, intrinsic calibration, superior reproducibility, and insensitivity to ambient fluctuations. Previous experiments to colocate qubits and JJ-based control electronics have resulted in quasiparticle poisoning of the qubit, degrading the coherence and lifetime of the qubit. In this paper, we digitally control a 0.01-K transmon qubit with pulses from a Josephson pulse generator (JPG) located at the 3-K stage of a dilution refrigerator. We directly compare the qubit lifetime T 1, the coherence time , and the thermal occupation P th when the qubit is controlled by the JPG circuit versus the TSCE setup. We find agreement to within the daily fluctuations of ±0.5 μs and ±2 μs for T 1 and , respectively, and agreement to within the 1% error for P th. Additionally, we perform randomized benchmarking to measure an average JPG gate error of 2.1 × 10-2. In combination with a small device size (< 25 mm2) and low on-chip power dissipation (≪100 μW), these results are an important step toward demonstrating the viability of using JJ-based control electronics located at temperature stages higher than the mixing-chamber stage in highly scaled superconducting quantum information systems.

Kinetic Plasma Turbulence Generated in a 3D Current Sheet With Magnetic Islands

In this article we aim to investigate the kinetic turbulence in a reconnecting current sheet (RCS) with X- and O-nullpoints and to explore its link to the features of accelerated particles. We carry out simulations of magnetic reconnection in a thin current sheet with 3D magnetic field topology affected by tearing instability until the formation of two large magnetic islands using particle-in-cell (PIC) approach. The model utilizes a strong guiding field that leads to the separation of the particles of opposite charges, the generation of a strong polarization electric field across the RCS, and suppression of kink instability in the “out-of-plane” direction. The accelerated particles of the same charge entering an RCS from the opposite edges are shown accelerated to different energies forming the “bump-in-tail” velocity distributions that, in turn, can generate plasma turbulence in different locations. The turbulence-generated waves produced by either electron or proton beams can be identified from the energy spectra of electromagnetic field fluctuations in the phase and frequency domains. From the phase space analysis we gather that the kinetic turbulence may be generated by accelerated particle beams, which are later found to evolve into a phase-space hole indicating the beam breakage. This happens at some distance from the particle entrance into an RCS, e.g. about 7di (ion inertial depth) for the electron beam and 12di for the proton beam. In a wavenumber space the spectral index of the power spectrum of the turbulent magnetic field near the ion inertial length is found to be −2.7 that is consistent with other estimations. The collective turbulence power spectra are consistent with the high-frequency fluctuations of perpendicular electric field, or upper hybrid waves, to occur in a vicinity of X-nullpoints, where the Langmuir (LW) can be generated by accelerated electrons with high growth rates, while further from X-nullponts or on the edges of magnetic islands, where electrons become ejected and start moving across the magnetic field lines, Bernstein waves can be generated. The frequency spectra of high- and low-frequency waves are explored in the kinetic turbulence in the parallel and perpendicular directions to the local magnetic field, showing noticeable lower hybrid turbulence occurring between the electron’s gyro- and plasma frequencies seen also in the wavelet spectra. Fluctuation of the perpendicular electric field component of turbulence can be consistent with the oblique whistler waves generated on the ambient density fluctuations by intense electron beams. This study brings attention to a key role of particle acceleration in generation kinetic turbulence inside current sheets.

Gaussian quantum particle swarm optimization-based wide-area power system stabilizer for damping inter-area oscillations

PurposeThe extensive increase in power demand has challenged the ability of power systems to deal with small-signal oscillations such as inter-area oscillations, which occur under unseen operating conditions. A wide-area measurement system with a phasor measurement unit (PMU) in the power network enhances the observability of the power grid under a wide range of operating conditions. This paper aims to propose a wide-area power system stabilizer (WAPSS) based on Gaussian quantum particle swarm optimization (GQPSO) using the wide-area signals from a PMU to handle the inter-area oscillations in the system with a higher degree of controllability.Design/methodology/approachIn the design of the wide-area stabilizer, a dead band is introduced to mitigate the influence of ambient signal frequency fluctuations. The location and the input signal of the wide-area stabilizer are selected using the participation factor and controllability index calculations. An improved particle swarm optimization (PSO) technique, namely, GQPSO, is used to optimize the variables of the WAPSS to move the unstable inter-area modes to a stable region in the s-plane, thereby improving the overall system stability.FindingsThe proposed GQPSO-based WAPSS is compared with the PSO-based WAPSS, genetic algorithm-based WAPSS and power system stabilizer. Eigenvalue analysis, time-domain simulation responses and performance index analysis are used to assess performance. The various evaluation techniques show that GQPSO WAPSS has a consistently good performance, with a higher damping ratio, faster convergence with fewer oscillations and a minimum error in the performance index analysis, indicating a more stable system with effective oscillation damping.Originality/valueThis paper proposes an optimally tuned design for the WAPSS with a wide-area input along with a dead-band structure for damping the inter-area oscillations. Tie line power is used as the input to the WAPSS and optimal tuning of the WAPSS is performed using an improved PSO algorithm, known as Gaussian quantum PSO.

Introducing a new concept for enhanced micro-energy harvesting of thermal fluctuations through the Marangoni effect

We present a new concept to strongly enhance the conversion of ambient thermal fluctuations into electric power using the Marangoni effect. The physics and capability of the concept are demonstrated through simulations of a micro-energy harvester formed by a Thermoelectric Generator (TEG) coupled to a Heat Storage Unit (HSU) filled by a Phase Change Material (PCM) with a free surface. Gradients of surface tension in the PCM liquid phase originate thermocapillary flows that accelerate the heat transfer between TEG and HSU. This concept can be applied to conditions where the PCM has a free surface and is particularly advantageous in spacecraft, where microgravity makes Marangoni flows a dominant heat transfer mechanism. We describe the system layout and apply the concept to micro-energy harvesting under the thermal load experienced in a small satellite orbiting the Earth. Most of the augmented energy production with respect to conductive transport occurs during the PCM heating phase when Marangoni flows are strongest. For large enough HSU to sustain continuous phase change during the harvesting period, the Marangoni effect multiplies by 2.9, 5.6, and 7.3 times the energy harvested from the environment using octadecane, hexadecane, and water as PCMs, respectively. Thermocapillary flows arise naturally at the interface of liquids subjected to thermal gradients, and no additional physical elements that would add weight or complexity are required to exploit this concept. Since it is based on a fundamental principle, it can be used as a foundation for further improvements to optimize the output of thermoelectric devices to power low-consumption electronics.