Power Recovery Research Articles

Оптимизация конструктивных параметров пневмогидравлического седельно-сцепного устройства лесовозного автопоезда

In this study, the benefits of logging transportation under modern conditions by semitrailer hauling rig are examined, which consists of a truck tractor connected to a semitrailer. Furthermore, an analysis is made of the operational implications of using log road trains in insufficiently arranged road conditions. The article describes the potential scientific directions that can optimize the efficiency of semitrailer trucks. An improved construction of a regenerative fifth-wheel coupling device is proposed. It provides better reliability, reduces fuel consumption for log trucks, and gives better working conditions for drivers, along with reduced dynamic loads between the links of the units that occur during the movement in unsteady modes. The research methodology includes the application of the mathematical framework of multifactorial optimization. The specified analytical formulas are derived to determine the performance efficiency of the regenerative fifth-wheel coupling. It is revealed the connections between the hydraulic cylinder piston stroke values of the regenerative fifth-wheel coupling device, the weight of the loaded semitrailer, the vehicle acceleration during speeding up and braking, and the modifications of the performance indicators of the latching mechanism. The optimal value of the stroke of the pistons of the hydraulic cylinder is determined, which is 200 mm. It provides a power recovery of 6.5 kW and better longitudinal acceleration of the semitrailer at 0.72 m/s2. Moreover, it is found that the change in acceleration during the increase in velocity and braking from 1 to 3 m/s2 gives the change in recuperated power from 2.2 to 6.8 m/s2. At the same time, the average longitudinal acceleration of the semitrailer varies from 0.27 to 0.75 m/s2. Changing the load of the semitrailer from 5 to 25 tons allows increasing the recuperated power from 1.6 to 7.9 kW and reducing the longitudinal acceleration of the semitrailer from 2.8 to 0.53 m/s2. The influence graphs and optimization cartograms present the diameter and hydraulic cylinder piston stroke values of the regenerative fifth-wheel coupling device on the regenerated power and longitudinal acceleration of the semitrailer. According to the optimization cartograms, the average regenerative power is determined using a graph-analytical method. It is equal to 6.5 kW with the diameter of a regenerative hydraulic cylinder of 110 mm and a hydraulic cylinder piston stroke of 200 mm. For citation: Posmetyev V.I., Nikonov V.O., Manukovskii A.Yu., Posmetyev V.V., Avdyuhin A.V. Optimization of Structural Parameters by Improvement of Pneumohydraulic FifthWheel Coupling Device at Semitrailer Hauling Rig. Lesnoy Zhurnal = Russian Forestry Journal, 2023, no. 3, pp. 126–139. (In Russ.). https://doi.org/10.37482/0536-1036-2023-3-126-139

Accident Sequence Precursor Analysis of an Incident in a Japanese Nuclear Power Plant Based on Dynamic Probabilistic Risk Assessment

Probabilistic risk assessment (PRA) is an effective methodology that could be used to improve the safety of nuclear power plants in a reasonable manner. Dynamic PRA, as an advanced PRA, allows for more realistic and detailed analyses by handling time-dependent information. However, the applications of this method to practical problems are limited because it remains in the research and development stage. This study aimed to investigate the possibility of utilizing dynamic PRA in risk-informeddecision-making. Specifically, the author performed an accident sequence precursor (ASP) analysis on the failure of emergency diesel generators that occurred at Unit 1 of the Tomari Nuclear Power Plant in Japan using dynamic PRA. The results were evaluated by comparison with the results of simplified classical PRA. The findings indicated that dynamic PRA may estimate lower risks compared with those obtained from classical PRA by reasonable modeling of alternating current power recovery. The author also showed that dynamic PRA can provide detailed information that cannot be obtained with classical PRA, such as uncertainty distribution of core damage timing and importance measure considering the system failure timing.

Outage Management of Active Distribution Systems With Data Fusion From Multiple Sensors Given Sensor Failures

Complex scenarios of multiple faults, sensor failures, and the fault current from distributed generations (DGs) pose a challenge for efficient outage management in distribution systems. To solve the issue, this study proposes a new algorithm for sequential determination of outage scenarios with data fusion from multiple sensors, i.e., smart meters and remote fault indicators (RFIs). To this end, an active distribution system is modeled as an undirected graph with vertices representing load zones, protective devices and RFIs, and edges denoting their adjacency. Set operation is proposed to derive the expected RFI alarms for each load zone if faulted and smart meter outage reports for each protection device. This serves as an input to the proposed evidence-driven methodology to sequentially quantify the credibility of the potential outage scenarios supported by RFIs and smart meters. By ranking the credibility, the most credible scenario of the activated protection and fault location, either on the primary feeder or laterals, is determined for expedited power recovery. Test cases of the IEEE System and a utility circuit show that the proposed approach outperforms the state-of-the-art technologies in terms of its accuracy and computational efficiency, leading to more efficient outage management of distribution systems.

Adsorption heat/mass conversion cycle for carbon capture:Concept, thermodynamics and perspective

Adsorption cycles have been widely used for the low-grade thermal energy recovery of heating, cooling, energy storage and power in the past few decades. However, thermal cycles for adsorption carbon capture gradually draw more attention since the adsorbate is regarded as the key product. To make an analogy among different adsorption cycles based on their common characteristics, a generalized concept of adsorption heat/mass coupled cycle is initially proposed and analyzed for carbon capture in this perspective. Several representative working cycles are first introduced in terms of temperature swing adsorption, pressure swing adsorption and the hybrid working process. Then, the key performance indicator, the specific heat consumption of the capture cycle, is provided to illustrate current status and barriers of adsorption carbon capture technologies. To address the issue of energy penalty, several solutions are provided from the thermodynamic aspects at three progressive levels, i.e., internal heat and mass recovery for common capture cycles, heat pump-assisted adsorption carbon capture, and capture through energy integration in the whole industrial plant. Visions for future applications are combined to provide a holistic perspective for the improvement of energy utilization of carbon capture technologies.

New Look and Optimized Power Recovery System for New Energy Vehicles

There are different approaches to reduce the drag on a car in motion, and at the same time, the resistance of the car is affected by many factors. This paper focuses on reducing the resistance of the car from three aspects, namely the weight, the windward area, and the aerodynamics, so as to improve the acceleration and speed of the car. This paper also introduces specific optimization models and sketches through data comparison and calculation. It is reflected that the improved vehicle structure can better reduce the drag, thus achieving the purpose of increasing the speed.

Evaluation and comparative analysis of the mixed traffic flow on urban roads considering the green cost

Evaluating vehicles’ energy consumption and emissions is significant to ease energy shortages and prevent environmental pollution. This study focuses on evaluating energy consumption and emissions of the mixed traffic flow with human-driven and autonomous vehicles from both economic and environmental perspectives. The proposed Green Cost Model is comprised of the energy consumption models and emissions models, taking energy recovery of electric vehicles and specific power of fuel vehicles into consideration. Based on the Energy, Economic and Environment theory, the fuel price, electricity price and carbon taxation are utilized to analyze the cost of energy usage and emissions. The feasibility and effectiveness of the Green Cost Model are verified by simulations in several typical traffic scenarios. The simulation results indicate the green cost of both fuel powered and electric vehicles. In different scenarios, the electric vehicles have less green cost than fuel vehicles, and the total green cost of the fleet decreases as the penetration of autonomous battery electric vehicles (ABEV) increases. In addition, lower average green cost and higher service level are obtained by taking green cost into account in the intersection timing scheme. Finally, scientific and rational policy implications are put forward for the government, drivers and automakers.

Graphene and biochar-based cathode catalysts for microbial fuel cell: Performance evaluation, economic comparison, environmental and future perspectives

Microbial fuel cells (MFCs) have been the prime focus of research in recent years because of their distinctive feature of concomitantly treating and producing electricity from wastewater. Nevertheless, the electrical performance of MFCs is hindered by a protracted oxygen reduction reaction (ORR), and often a catalyst is required to boost the cathodic reactions. Conventional transition metals-based catalysts are expensive and infeasible for field-scale usage. In this regard, carbon-based electrocatalysts like waste-derived biochar and graphene are used to enhance the commercialisation prospects of MFC technology. These carbon-catalysts possess unique properties like superior electrocatalytic activity, higher surface area, and high porosity conducive to ORR. Theoretically, graphene-based cathode catalysts yield superior results than a biochar-derived catalyst, though at a higher cost. In contrast, the synthesis of waste-extracted biochar is economical; however, its ability to catalyse ORR is debatable. Therefore, this review aims to make a side-by-side techno-economic assessment of biochar and graphene-based cathode catalyst used in MFC to predict the relative performance and typical cost of power recovery. Additionally, the life cycle analysis of the graphene and biochar-based materials has been briefly discussed to comprehend the associated environmental impacts and overall sustainability of these carbo-catalysts.

Wake interactions behind individual-tower multi-rotor wind turbine configurations

Multiple rotors on single structures have long been proposed to increase wind turbine energy capture with no increase in rotor size, but at the cost of additional mechanical complexity in the yaw and tower designs. Standard turbines on their own very-closely-spaced towers avoid these disadvantages but create a significant disadvantage; for some wind directions the wake turbulence of a rotor enters the swept area of a very close downwind rotor causing low output, fatigue stress, and changes in wake recovery. Knowing how the performance of pairs of closely spaced rotors varies with wind direction is essential to design a layout that maximizes the useful directions and minimizes the losses and stress at other directions. In the current work, the high-fidelity large-eddy simulation (LES) code Exa-Wind/Nalu-Wind is used to simulate the wake interactions from paired-rotor configurations in a neutrally stratified atmospheric boundary layer to investigate performance and feasibility. Each rotor pair consists of two Vestas V27 turbines with hub-to-hub separation distances of 1.5 rotor diameters. The on-design wind direction results are consistent with previous literature. For an off-design wind direction of 26.6°, results indicate little change in power and far-wake recovery relative to the on-design case. At a direction of 45.0°, significant rotor-wake interactions produce an increase in power but also in far-wake velocity deficit and turbulence intensity. A severely off-design case is also considered.

Unravelling and enhancing the power recovery and nitrogen removal mechanism from wastewater by isolating input nitrogen in a coupled microbial fuel cell system

Poor recovery energy of microbial fuel cells (MFCs) persists and is considerably lower when dealing with nitrogen, a substantial challenge of this technology. This study investigated power generation from treating different COD/N ratio wastewater by isolating the input nitrogen using the coupled MFC system, including nitrification-MFC (N-MFC) and denitrification-MFC (D-MFC). Energy from wastewater was predominantly recovered in the N-MFC due to the system's configuration, which allowed for the oxidation of over 75% of organic matter input while simultaneously isolating nitrogen input. The nitrogen isolation was affected by the electricity generation of the N-MFC. The complete nitrification was done in the first mode under dissolved oxygen (DO) of 4 mg L−1 in the cathode chamber of the N-MFC. When the DO was decreased to 0.6 mg L−1 in the second mode, over 95% of the ammonium was oxidized to nitrite and nitrate in a 2:1 ratio. The N-MFC's power density of 6.16–6.3 W m−3 was achieved in the first mode, while a power generation of 0.82 W m−3 was obtained in the second mode. The principal mechanism for nitrogen removal at the D-MFC was autotrophic denitrification. The first mode nitrogen removal efficiency was 56.9%, 72.7%, and 80.2% for COD/N input of 5.5, 7.1, and 10.3, respectively. The second mode utilized the short-cut nitrification-denitrification process, superior to the first mode with regards to energy efficiency and nitrogen removal. However, the usage of CEM as separator and aeration requirement makes this technology expensive. Results indicated that nitrogen removal and effective utilization of organic matter for energy recovery could be achieved with a proper configuration for a coupled MFC and in future the cost can be reduced.

Study on the altitude adaptability of single-stage and two-stage turbocharging systems for a heavy-duty diesel engine

It is important to understand the altitude adaptability of the turbocharging system for maximizing its potential in the power recovery of the diesel engine at high altitudes. This study investigated the influence of altitudes ranging from 0 to 4500 m on the performance of the single-stage and two-stage turbocharging systems in a heavy-duty diesel engine. The research was conducted using a six-cylinder, four-stroke, turbocharged, direct-injection diesel engine. An altitude simulation test bench was used to simulate altitudes of 0 to 4500 m by adjusting the temperature and pressure. According to the test results, the altitude adaptability of different turbocharging systems was analyzed based on turbine work and turbocharger efficiency. It was concluded that the high-pressure stage regulation in the two-stage turbocharging system (HRT) strengthens the regulation ability in turbine work, effectively regulating the boost pressure and maintaining high turbocharger efficiency at different altitudes. The HRT can satisfy the regulation ability for altitudes ranging from 0 to 4500 m. The low-pressure stage regulation in the two-stage turbocharging system (LRT) weakens the regulation ability in turbine work and relies on reduction of the turbocharger efficiency to regulate the boost pressure. The LRT ineffectively regulates the boost pressure at low altitudes, with altitude adaptability from 1500 to 4500 m. Due to the exhaust temperature limitation, the waste-gate in the single-stage turbocharging system (WG) is not suitable for large-span regulation to satisfy the performance of the diesel engine at altitudes above 3,000 m compared with the HRT and LRT.

Discovery of New Ligand with Quinoline Scaffold as Potent Allosteric Inhibitor of HIV-1 and Its Copper Complexes as a Powerful Catalyst for the Synthesis of Chiral Benzimidazole Derivatives, and in Silico Anti-HIV-1 Studies.

In this paper, the novel Schiff base ligand containing quinoline moiety and its novel copper chelate complexes were successfully prepared. The catalytic activity of the final complex in the organic reaction such as synthesis of chiral benzimidazoles and anti-HIV-1 activity of Schiff base ligand and the products of this reaction were investigated. In addition, green chemistry reactions using microwaves, powerful catalyst synthesis, green recovery and reusability, and separation of products with economic, safe, and clean methods (green chemistry) are among the advantages of this protocol. The potency of these compounds as anti-HIV-1 agents was investigated using molecular docking into integrase (IN) enzyme with code 1QS4 and the GROMACS software for molecular dynamics simulation. The final steps were evaluated in case of RMSD, RMSF, and Rg. The results revealed that the compound VII exhibit a good binding affinity to integrase (Δg = -10.99 kcal/mol) during 100 ns simulation time, and the analysis of RMSD suggested that compound VII was stable in the binding site of integrase.

Magnesium sulphate reduces tertiary gliosis but does not improve EEG recovery or white or grey matter cell survival after asphyxia in preterm fetal sheep.

Maternal magnesium sulphate (MgSO4 ) treatment is widely recommended before preterm birth for neuroprotection. However, this is controversial because there is limited evidence that MgSO4 provides long-term neuroprotection. Preterm fetal sheep (104days gestation; term is 147days) were assigned randomly to receive sham occlusion with saline infusion (n=6) or i.v. infusion with MgSO4 (n=7) or vehicle (saline, n=6) from 24h before hypoxia-ischaemia induced by umbilical cord occlusion until 24h after occlusion. Sheep were killed after 21days of recovery, for fetal brain histology. Functionally, MgSO4 did not improve long-term EEG recovery. Histologically, in the premotor cortex and striatum, MgSO4 infusion attenuated post-occlusion astrocytosis (GFAP+ ) and microgliosis but did not affect numbers of amoeboid microglia or improve neuronal survival. In the periventricular and intragyral white matter, MgSO4 was associated with fewer total (Olig-2+ ) oligodendrocytes compared with vehicle+occlusion. Numbers of mature (CC1+ ) oligodendrocytes were reduced to a similar extent in both occlusion groups compared with sham occlusion. In contrast, MgSO4 was associated with an intermediate improvement in myelin density in the intragyral and periventricular white matter tracts. In conclusion, a clinically comparable dose of MgSO4 was associated with moderate improvements in white and grey matter gliosis and myelin density but did not improve EEG maturation or neuronal or oligodendrocyte survival. KEY POINTS: Magnesium sulphate is widely recommended before preterm birth for neuroprotection; however, there is limited evidence that magnesium sulphate provides long-term neuroprotection. In preterm fetal sheep exposed to hypoxia-ischaemia (HI), MgSO4 was associated with attenuated astrocytosis and microgliosis in the premotor cortex and striatum but did not improve neuronal survival after recovery to term-equivalent age, 21days after HI. Magnesium sulphate was associated with loss of total oligodendrocytes in the periventricular and intragyral white matter tracts, whereas mature, myelinating oligodendrocytes were reduced to a similar extent in both occlusion groups. In the same regions, MgSO4 was associated with an intermediate improvement in myelin density. Functionally, MgSO4 did not improve long-term recovery of EEG power, frequency or sleep stage cycling. A clinically comparable dose of MgSO4 was associated with moderate improvements in white and grey matter gliosis and myelin density but did not improve EEG maturation or neuronal or oligodendrocyte survival.

Influence of Light Color on Power Generation and Microalgae Growth in Photosynthetic Microbial Fuel Cell with Chlorella Vulgaris Microalgae as Bio-Cathode

Photosynthetic microbial fuel cell (PMFC) is an environmentally friendly sustainable technique for simultaneous wastewater treatment and power recovery. PMFC utilizes the microalgae to generate oxygen by photosynthesis process in the biocathode. Light sources and intensities have direct effect on chlorophyll pigment formation, photosynthesis processes and microalgae growth. In this study, Chlorella vulgaris was utilized as biocathode in PMFC fed with actual slaughterhouse wastewater. The biocathode was illuminated with florescent light as well as yellow, red and blue LED lights with light intensities of 67.46, 47.03, 26.18 and 4.70µmol/m.s, respectively. Power output and microalgae growth were considered in evaluating the PMFC performance. Results demonstrated that the highest power output was 217.04 mW/m2 generated under florescent light compared to 28.41, 171.08, and 21.65 mW/m2 observed under yellow, red and blue LEDs, respectively. Additionally, statistical analysis was performed using fifth-degree polynomial model which fitted well the experimental data with a determination coefficient (R2) > 0.97. The results reflected a high confidence level in depicting the growth mechanism of Chlorella vulgaris under lighting sources with different light colors and intensities.

Comparative Study of Water Desalination using Reverse Osmosis (RO) and Electro-dialysis Systems (ED): Review

The increasing drinking water demand in many countries leads to an increase in the use of desalination plants, which are considered a great solution for water treatment processes. Reverse osmosis (RO) and electro-dialysis (ED) systems are the most popular membrane processes used to desalinate water at high salinity. Both systems work by separating the ionic contaminates and disposing of them as a brine solution, but ED uses electrical current as a driving force while RO uses osmotic pressure. A direct comparison of reverse osmosis and electro-dialysis systems is needed to highlight process development similarities and variances. This work aims to provide an overview of previous studies on reverse osmosis and electro-dialysis systems related to membrane module and design processes; energy consumption; cost analysis; operational problems; efficiency of saline removal; and environmental impacts of brine disposal. RO system uses osmotic pressure as a driving force to force water through the membrane with less energy than other desalination systems. The enhancements in membrane materials and power recovery of the unit have massively decreased the price of RO units. ED system uses an electrical current to push dissolved ions across ion exchange membranes. The results of this review showed that desalination plants must be integrated with renewable energy to reduce power consumption and costs related to energy. Various technologies, including treatment processes and disposal methods, must be used to control concentrated solutions resulting from desalination processes because 5 to 33% of the total cost of the desalination process is associated with brine disposal.

Numerical investigation of the aerodynamic and wake characteristics of a floating twin-rotor wind turbine under surge motion

To elevate the power capacity of floating wind turbines and cut costs, development towards large-scale systems is underway. However, this requires solving the problem of fatigue loading on large, flexible blades, as well as corresponding improvements to production and installation technology. As an alternative to larger turbines, twin-rotor floating wind turbines have been proposed. The aerodynamic and wake interference characteristics of this twin-rotor are not yet well understood. In this study, we have investigated the power and wake characteristics of a twin-rotor floating wind turbine based on unsteady Reynolds-averaged Navier-Stokes turbulence model for a comprehensive analysis. Specifically, the power and wake recovery of a twin-rotor floating horizontal-axis wind turbine (FHAWT) under surge motion are compared in detail with those of a single floating wind turbine and bottom-fixed case, while both the effects of the three wind directions (β = 0°, 45°, 90°) and spacing ratios (S/D = 1.2, 1.375, 1.5) are considered. The results suggest that the mean power of the twin-rotor is enhanced by a maximum of 13% under surge motion compared to the single rotor, the small spacing ratio promotes the power gain. Surge motion plays a significant role in wake interaction between the twin-rotor and facilitates wake recovery. As compared to the baseline case, both power and wake recovery performance of the twin-rotor are boosted at β = 45°, with an increase in power of 12.7% as opposed to the single rotor. The modified Jensen wake model is proposed for the far-wake region and a modified Gaussian wake model is also suggested for different cases. This study can provide affiliated guidance for the application of the twin-rotor floating wind turbine.

A two‐stage algorithm for vehicle routing problem with charging relief in post‐disaster

AbstractThis paper first investigates emergency transportation for power recovery in post‐disaster. The problem is formulated as a mixed‐integer linear programming model called vehicle routing problem with charging relief (VRPCR). The battery state of charge () implies the working hours that the battery can provide. The goal is to make a set of shelters charge before the battery of shelters reaches the minimum bound over time. To this end, a two‐stage algorithm is developed to deal with the problem. In stage I, a reduced road network is obtained from a leading road network by the A‐star search algorithm. Subsequently, to determine the order of power delivery with charging operations at shelters by enhanced genetic algorithm (EGA) in stage II. To evaluate this strategy, the detailed complexity analysis of the three algorithms and results tested on a realistic disaster scenario shows the performance of the A‐star search algorithm for VRPCR that outperforms the Dijkstra and Floyd algorithms. In addition, the EGA is applied to Solomon's benchmarks compared with the state‐of‐the‐art heuristic algorithms, which indicates a better performance of EGA. A real case obtained from a disaster scenario in Ichihara City, Japan is also conducted. Simulation results demonstrate that the method can achieve satisfactory solutions.

A New Approach for Long-Term Stability Estimation Based on Voltage Profile Assessment for a Power Grid

Load flow solutions refer to the steady-state stability of power systems and have a crucial role in the design and planning of slow-changing elements; e.g., in online tab changing actions, automatic generation control, over-excitation limiters and the power recovery characteristics of a load. Therefore, the purpose of this work was to show the connectivity between load flow analysis and long-term voltage stability using a generator model by introducing a novel voltage stability assessment based on the multi-machine dynamic model along with the load flow study for a power grid. The Euclidean distance (ED) was used to introduce a new voltage stability index based on the voltage phasor profile for real-time monitoring purposes. The effects of reactive power compensation, in addition to load-generation patterns and network topology changes in the system behavior, could be seen clearly on the voltage profiles of the buses. Thus, the increased values for the EDs of the buses’ voltage amplitudes—from 0 to around 1.5 (p.u.)—implied that the system was approaching the voltage collapse point, corresponding to the Jacobian matrix singularity of the load flow equation. Moreover, the weakest load bus with respect to any system change was also identified. Indeed, the criticality of any network interruption was in direct proportion to this voltage stability index. The proposed method was validated using the IEEE 118-bus test system.

A New Cross-Flow Type Turbine for Ultra-Low Head in Streams and Channels

In the last few decades, hydropower production has been moving toward a new paradigm of low and diffused power density production of energy with small and mini-hydro plants, which usually do not require significant water storage. In the case of nominal power lower than 20 kW and ultra-low head H (H < 5 m), Archimedes screw or Kaplan type turbines are usually chosen due to their efficiency, which is higher than 0.85. A new cross-flow type turbine called Ultra-low Power Recovery System (UL-PRS) is proposed and its geometry and design criteria are validated in a wide range of operating conditions through 2D numerical analysis computed using the ANSYS Fluent solver. The new proposed solution is much simpler than the previously mentioned competitors; its outlet flow has a horizontal direction and attains similar efficiency. The costs of the UL-PRS turbine are compared with the costs of one Kaplan and one cross-flow turbine (CFT) in the case study of the main water treatment plant of the city of Palermo in Italy. In this case, the UL-PRS efficiency is estimated using a URANS 3D numerical analysis computed with the CFX solver.

Spatial regression identifies socioeconomic inequality in multi-stage power outage recovery after Hurricane Isaac

Power outages are a common outcome of hurricanes in the USA with potentially serious implications for community wellbeing. Understanding how power outage recovery is influenced by factors such as the magnitude of the outage, storm characteristics, and community demographics is key to building community resilience. Outage data are a valuable tool that can help to better understand how hurricanes affect built infrastructure and influence the management of short-term infrastructure recovery process. We conduct a spatial regression analysis on customers experiencing outages and the total power recovery time to investigate the factors influencing power outage recovery in Louisiana after Hurricane Isaac. Our interest was in whether infrastructure damage and recovery times resulting from a hurricane disproportionately affect socioeconomically vulnerable populations and racial minorities. We find that median income is a significant predictor of the time it takes to restore 50%, 80%, and 95% of the total outages within a ZIP Code Tabulation Area, even after controlling for hurricane characteristics and total outages. Higher income geographies and higher income adjacent geographies experience faster recovery times. Our findings point to possible inequities associated with income in power outage recovery prioritization, which cannot be explained by exposure to outages, storm characteristics, or the presence of critical services such as hospitals and emergency response stations. These results should inform more equitable responses to power outages in the future helping to improve overall community resilience.

On Recovery of the Singular Differential Laplace—Bessel Operator from the Fourier–Bessel Transform

This paper is devoted to the problem of the best recovery of a fractional power of the B-elliptic operator of a function on R+N by its Fourier–Bessel transform known approximately on a convex set with the estimate of the difference between Fourier–Bessel transform of the function and its approximation in the metric L∞. The optimal recovery method has been found. This method does not use the Fourier–Bessel transform values beyond a ball centered at the origin.