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Showing records 24292 to 24316 of 43292. [First] Page: 1 969 970 971 972 973 974 975 976 977 Last
Energy Costs Impact on Disabled Children’s Rehabilitation Opportunities in Kazakhstan
Tatyana Pritvorova, Yelena Petrenko, Nikolay Gelashvili
March 1, 2023 (v1)
Keywords: direct costs, energy costs, families with disabled children, Kazakhstan, PLS–PM model, social innovation
This article examines the costs for families raising disabled children, who, in world social policy, belong to socially vulnerable groups of the population. The purpose of this article is to assess the impact of energy consumption on the ability of a family to provide rehabilitation for a disabled child in the present and the possibility of his independent life in the future. A sociological survey was administered to respondents in five regions of Kazakhstan, with subsequent processing of the results obtained by statistical methods. The survey was based on a methodological approach in accordance with the identification of four types of restrictions: direct childcare costs; indirect family costs, i.e., losses (household energy consumption aspect); assessment of the opportunity to work; and assessment of the parents’ ability to stay healthy. The PLS−PM model-based structural modeling was carried out. In the model, four types of constraints as dependent variables were accepted. In the cou... [more]
How to Meet the Green Deal Objectives—Is It Possible to Obtain 100% RES at the Regional Level in the EU?
Bartłomiej Igliński, Michał Bernard Pietrzak, Urszula Kiełkowska, Mateusz Skrzatek, Artur Gajdos, Anas Zyadin, Karthikeyan Natarajan
March 1, 2023 (v1)
Subject: Environment
Keywords: European Union, GIS method, Greater Poland Voivodeship, Green Deal objectives, Renewable and Sustainable Energy, sustainable development, sustainable development goals
The subject matter discussed in the article concerns the problem of the energy transformation of the European Union (EU) countries. In the case of the EU, the energy transformation has specific characteristics due to formal legal and institutional provisions. This means that the member states are obliged to implement the adopted Community Energy Strategy, which was defined under the European Green Deal. According to the EU policy, all member states are to have climate-neutral and zero-gas-emission economies by 2050. The energy transformation is to be largely based on the diversification of the energy sources used, with a dominance of renewable energy sources (RES). The article presents a research problem, where the question was asked whether achieving climate-neutral energy independence based solely on RES is possible at the regional level. It seems that the positive answer is an important argument in the discussion about the possibility of all member states achieving the goals set und... [more]
Dual-Active-Bridge Model and Control for Supporting Fast Synthetic Inertial Action
Stefania Cuoghi, Riccardo Mandrioli, Lohith Kumar Pittala, Vincenzo Cirimele, Mattia Ricco
March 1, 2023 (v1)
Keywords: DAB converter, discrete PI controller, gain crossover frequency, hardware-in-the-loop, phase margin
This article proposes a dual-active-bridge control to support the fast synthetic inertial action in DC microgrids. First of all, the selection of the isolated DC/DC converter to link an energy storage system with the DC bus in a microgrid is analyzed and the advantages of the dual-active-bridge converter controlled by a single-phase shift modulation justify its selection. An active front-end can be then adapted to connect the DC bus with an AC grid. Secondly, this paper presents the design of a discrete PI controller for supporting fast synthetic inertial action. In particular, a discrete dual-active-bridge model based on the transferred power between both converter bridges, which overcomes the approximations of the output current linearization model, is proposed. Moreover, the article introduces a novel equation set to directly and dynamically tune discrete PI parameters to fulfill the design frequency specifications based on the inversion formulae method. In this way, during the volt... [more]
Research on Fuel Cell Fault Diagnosis Based on Genetic Algorithm Optimization of Support Vector Machine
Weiwei Huo, Weier Li, Chao Sun, Qiang Ren, Guoqing Gong
March 1, 2023 (v1)
Keywords: extreme learning machine, fault diagnosis, fuel cell, Genetic Algorithm, support vector machine
The fuel cell engine mechanism model is used to research fault diagnosis based on a data-driven method to identify the failure of proton exchange membrane fuel cells in the process of operation, which leads to the degradation of system performance and other problems. In this paper, an extreme learning machine and a support vector machine are applied to classify the usual faults of fuel cells, including air compressor faults, air supply pipe and return pipe leaks, stack flooding faults and temperature controller faults. The accuracy of fault classification was 78.67% and 83.33% respectively. In order to improve the efficiency of fault classification, a genetic algorithm is used to optimize the parameters of the support vector machine. The simulation results show that the accuracy of fault classification was improved to 94% after optimization.
Evaluation Methodology of Rotary Flow Dividers Used as Pressure Intensifiers with Creation of a New Pressure Multiplying Efficiency
Jakub Milan Hradecký, Antonín Bubák, Martin Dub
March 1, 2023 (v1)
Keywords: experiment, flow dividing inaccuracy, flow regeneration, pressure multiplication, pressure multiplying efficiency, rotary flow dividers
For most of the technical community, rotary flow dividers are known for synchronization of two or more hydraulic actuators. However, there is also a possibility to use them for pressure multiplication, flow regeneration, or speed control. For those applications, there is a need to describe the behavior of its quantities. This article reveals a new evaluation methodology for rotary flow dividers when they are unconventionally used as pressure multipliers and also reveals a new quantity-pressure multiplying efficiency. Then, there is an experiment provided between two rotary flow dividers with different designs, where there is a new evaluation methodology used. On the base of that, it is possible to compare and decide which divider is more likely to be used in multiplying circuits and more suitable for further investigation from the perspective of new designs. With this evaluation methodology, it is possible to compare much more than two different dividers. It is possible to run more tes... [more]
Effects of Oxygen-Enhanced Combustion Methods on Combustion Characteristics of Non-Premixed Swirling Flames
Pavel Skryja, Igor Hudak, Jiří Bojanovsky, Zdeněk Jegla, Lubomír Korček
March 1, 2023 (v1)
Keywords: flame stability, heat flux, in-flame temperature, nitrogen oxides, oxygen lancing method, oxygen-enhanced combustion
The objective of the present study was to experimentally investigate and compare the characteristics of three oxygen-enhanced combustion (OEC) methods; premix enrichment (PE), air-oxy/fuel combustion (AO), and additionally also oxygen lancing (OL) method. The overall oxygen concentration varied from 21% to 38%. Combustion tests were carried out using the gas burner with the thermal input of 750 kW fired by natural gas. The characteristics of OEC methods, such as the concentration of nitrogen oxides and carbon monoxide in flue gas, in-flame temperatures distribution in the horizontal symmetry plane of the combustion chamber, heat flux to the combustion chamber wall, flue gas temperature, and the stability of flame were investigated. NOx emissions increased by more than 40 times and by 20 times for the PE method. The tests using the AO and OL methods with NOx emissions below 150 mg/Nm3 at all oxygen concentrations showed significantly better results. For all OEC methods, radiative heat t... [more]
Wind Energy Scenario, Success and Initiatives towards Renewable Energy in India—A Review
Upma Singh, Mohammad Rizwan, Hasmat Malik, Fausto Pedro García Márquez
March 1, 2023 (v1)
Keywords: cumulative installed capacity (CIC), forecasting errors, renewable energy sources (RES), wind forecasting methods, wind integration
Power generation using wind has been extensively utilised, with substantial capacity add-on worldwide, during recent decades. The wind power energy sector is growing, and has turned into a great source of renewable power production. In the past decades of the 21st century, the capacity of installed wind energy has almost doubled every three years. This review paper presents the crucial facets and advancement strategies that were approved and adopted by the Government of India for intensifying the country’s own power safety, by the appropriate use of existing power sources. From India’s viewpoint, wind energy is not only utilized for power production but also to provide power in a more economical way. The particulars of India’s total energy production, contributions of numerous renewable sources and their demand are also encompassed in this paper. After an exhaustive review of the literature, detailed facts have been identified about the present position of wind energy, with an emphasis... [more]
A Novel Denoising Auto-Encoder-Based Approach for Non-Intrusive Residential Load Monitoring
Xi He, Heng Dong, Wanli Yang, Jun Hong
March 1, 2023 (v1)
Keywords: denoising auto-encoder, load disaggregation, Machine Learning, REDD dataset, TraceBase dataset
Mounting concerns pertaining to energy efficiency have led to the research of load monitoring. By Non-Intrusive Load Monitoring (NILM), detailed information regarding the electric energy consumed by each appliance per day or per hour can be formed. The accuracy of the previous residential load monitoring approach relies heavily on the data acquisition frequency of the energy meters. It brings high overall cost issues, and furthermore, the differentiating algorithm becomes much more complicated. Based on this, we proposed a novel non-Intrusive residential load disaggregation method that only depends on the regular data acquisition speed of active power measurements. Additionally, this approach brings some novelties to the traditionally used denoising Auto-Encoder (dAE), i.e., the reconfiguration of the overlapping parts of the sliding windows. The median filter is used for the data processing of the overlapping window. Two datasets, i.e., the Reference Energy Disaggregation Dataset (RED... [more]
LPSRS: Low-Power Multi-Hop Synchronization Based on Reference Node Scheduling for Internet of Things
Mahmoud Elsharief, Mohamed A. Abd El-Gawad, Haneul Ko, Sangheon Pack
March 1, 2023 (v1)
Keywords: HRTS, IoT, low power, LPSRS, R-sync, Scheduling, time synchronization
Time synchronization is one of the most fundamental problems on the internet of things (IoT). The IoT requires low power and an efficient synchronization protocol to minimize power consumption and conserve battery power. This paper introduces an efficient method for time synchronization in the IoT called low-power multi-hop synchronization (LPSRS). It employs a reference node scheduling mechanism to avoid packet collisions and minimize the communication overhead, which has a big impact on power consumption. The performance of LPSRS has been evaluated and compared to previous synchronization methods, HRTS and R-Sync, via real hardware networks and simulations. The results show that LPSRS achieves a better performance in terms of power consumption (transmitted messages). In particular, for a large network of 450 nodes, LPSRS reduced the total number of transmitted messages by 53% and 49% compared to HRTS and R-Sync, respectively.
A New Method for Capturing CO2 from Effluent Gases Using a Rice-Based Product
Ameera F. Mohammad, Abeer F. Dar Saleh, Maatouk Khoukhi, Ali H. Al-Marzouqi
March 1, 2023 (v1)
Keywords: CO2 capturing, contact device, puffed rice cakes, rice waste, sodium hydroxide liquor
In 2013, UAE imported around 772 million kilograms of rice, making it one of the largest consumers of this popular grain in the world. However, 40% of rice available in the market is discarded, contributing to the country’s CO2 footprint. Given that CO2 emissions are recognized as a significant contributor to climate change and efforts aimed at their reduction are proving insufficient for combatting the global increase in temperature, various approaches aimed at its removal from the atmosphere have been proposed. The goal of this study is to contribute to this initiative by proposing a new method for CO2 removal based on a special gas contact device filled with buffered puffed rice cakes obtained by heating in a purposely designed sealed chamber at high pressure to obtain layers with 9−12 mm thickness. The resulting cakes are subsequently immersed in a sodium hydroxide liquor (0.25−2.5 M) to increase the moisture content to 5% and pH to >11.0. In the experiments, different rice structu... [more]
An Electrothermal Model to Predict Thermal Characteristics of Lithium-Ion Battery under Overcharge Condition
Charles Mohamed Hamisi, Pius Victor Chombo, Yossapong Laoonual, Somchai Wongwises
March 1, 2023 (v1)
Keywords: electrothermal model, lithium-ion battery, overcharge, temperature, thermal behavior
Understanding the thermal characteristics of lithium-ion batteries (LIBs) under various operating situations is critical for improving battery safety. Although the application of LIBs in the real world is mostly transient, many previous models consider the phenomenon of the constant state. This study examines thermal behavior by developing a 2D electrothermal model to predict the thermal behavior of LIBs with overcharge abuse in high thermal conditions. The 18,650 cylindrical LiCoO2 graphite is investigated in a thermally controlled chamber at 35, 50, and 60 °C with a K-type thermocouple mounted on the LIB surface under charging rates of 1C, 2C, and 3C to acquire quantitative data regarding the thermal response of LIBs. Maximum critical temperatures are found at 62.6 to 78.9 °C, 66.4 to 83.5 °C, and 72.1 to 86.6 °C at 1C, 2C, and 3C, respectively. Comparing simulation analysis and experimental conditions, the highest relative error of 1.71% was obtained. It was found that relative erro... [more]
State Estimation Fusion for Linear Microgrids over an Unreliable Network
Mohammad Soleymannejad, Danial Sadrian Zadeh, Behzad Moshiri, Ebrahim Navid Sadjadi, Jesús García Herrero, Jose Manuel Molina López
March 1, 2023 (v1)
Keywords: cyberattack, data fusion, estimation fusion, internet of things, Kalman filter, Machine Learning, packet loss, smart microgrid, state estimation
Microgrids should be continuously monitored in order to maintain suitable voltages over time. Microgrids are mainly monitored remotely, and their measurement data transmitted through lossy communication networks are vulnerable to cyberattacks and packet loss. The current study leverages the idea of data fusion to address this problem. Hence, this paper investigates the effects of estimation fusion using various machine-learning (ML) regression methods as data fusion methods by aggregating the distributed Kalman filter (KF)-based state estimates of a linear smart microgrid in order to achieve more accurate and reliable state estimates. This unreliability in measurements is because they are received through a lossy communication network that incorporates packet loss and cyberattacks. In addition to ML regression methods, multi-layer perceptron (MLP) and dependent ordered weighted averaging (DOWA) operators are also employed for further comparisons. The results of simulation on the IEEE 4... [more]
Investigation of Heat Transfer and Pressure Drop for R744 in a Horizontal Smooth Tube of R744/R404A Hybrid Cascade Refrigeration System—Part 1: Intermediate Temperature Region
Min-Ju Jeon
March 1, 2023 (v1)
Keywords: dry-out, evaporation heat transfer, evaporative heat transfer, flow boiling, flow pattern map, flow regimes, heat transfer coefficient, intermediate temperature, medium temperature, middle temperature, pressure drop, R744, smooth horizontal tube
In this study, the evaporation heat transfer characteristics of an intermediate temperature of R744 in a smooth horizontal tube, when operating as an indirect refrigeration system (IRS) among hybrid cascade refrigeration systems (HCRSs), are evaluated. Studies on the characteristics of intermediate-temperature evaporation heat transfer under the operating conditions of evaporators used in actual refrigeration systems, such as IRS, cascade refrigeration systems, and HCRS, used in supermarkets are lacking. Thus, this study provides basic data on the characteristics of evaporation heat transfer of R744 in the evaporators of refrigerators used in supermarkets. The tube employed to the evaporation experiment in this study was a horizontal smooth copper tube with a length of 8000 mm and an inner diameter of 11.46 mm. The experimental variables were measured over a wide range of mass flux of 200−500 kg/(m2·s), heat flux of 10−40 kW/m2, and saturation temperature of −40−0 °C. The main results... [more]
Understanding Off-Gassing of Biofuel Wood Pellets Using Pellets Produced from Pure Microcrystalline Cellulose with Different Additive Oils
Workson Siwale, Stefan Frodeson, Michael Finell, Mehrdad Arshadi, Carina Jonsson, Gunnar Henriksson, Jonas Berghel
March 1, 2023 (v1)
Keywords: additive oils, cellulose pellets, fatty and resin acids, off-gassing, self-heating, solid biofuels, wood pellets
Fuel wood pellets have the tendency of undergoing self-heating and off-gassing during storage and transportation. Self-heating can lead to spontaneous combustion and cause fires while toxic gasses such as carbon monoxide and some volatile organic compounds released due to off-gassing are a human health and environmental hazard. Previous research suggests that the self-heating and off-gassing of wood pellets are as a result of the oxidation of wood extractives. The aim of this study was to identify the extractives, i.e., fatty and resin acids that are responsible for the emissions of carbon monoxide, carbon dioxide and methane from wood pellets by testing the off-gassing tendencies of pellets produced from synthetic microcrystalline cellulose and different additive oils. The additive oils were intentionally selected to represent different types of wood extractives (mainly fatty and resin acids) and they included: tall oil, pine rosin, linseed oil and coconut oil. The highest mean concen... [more]
Review on Material and Design of Anode for Microbial Fuel Cell
Aritro Banerjee, Rajnish Kaur Calay, Mohamad Mustafa
March 1, 2023 (v1)
Subject: Materials
Keywords: advanced Hummer’s method, carbon-based material, conductive polymer, metal-based anode, microbial fuel cell, nanocomposite material, polymer coating, properties of anode, scaleup challenges
Microbial Fuel Cell (MFC) is a bio-electrochemical system that generates electricity by anaerobic oxidation of substrates. An anode is the most critical component because the primary conversion of wastewater into electrons and protons takes place on the surface of the anode, where a biofilm is formed. This paper describes the essential properties of the anode and classifies its types according to the material used to make it. Anode material is responsible for the flow of electrons generated by the microorganism; hence biocompatibility and conductivity can considered to be the two most important properties. In this paper, the various modification strategies to improve the performance of anodes of MFC are explained through the review of researchers’ published work in this field. The shape and size of the anode turned out to be very significant as the microbial growth depends on the available surface area. The attachment of biofilm on the surface of an anode largely depends on the interfa... [more]
Prediction Method for Surface Subsidence of Coal Seam Mining in Loess Donga Based on the Probability Integration Model
Bingchao Zhao, Yaxin Guo, Xuwei Mao, Di Zhai, Defu Zhu, Yuming Huo, Zedong Sun, Jingbin Wang
March 1, 2023 (v1)
Keywords: additional displacement of slope mining slip, loess donga, probability integration, superimposed calculation, surface subsidence
The accurate prediction of surface subsidence is a significant foundation for the damage assessment of coal seam mining and ecological environment reclamation in loess donga. However, conventional models are very problematic, and the reliability of prediction is usually low. Therefore, we propose a method for predicting surface subsidence of coal seam mining in loess donga that is based on the probability integration model, combined with the movement principle of rock and soil layers in the respective study area, and considering the influence of slope stability and additional mining slip on mining subsidence. The feasibility of our new method was verified by a case study in the N1114 working face of the Ningtiaota coal mine (China) that is situated in an area with abundant loess dongas. The results show that slope slippage is the source of error in the prediction of subsidence in loess donga. The prediction idea of “dividing the surface of loess donga into horizontal strata area and sl... [more]
Study on Geometric Characteristics and Quantitative Description Method of Casing Deformation during Shale Reservoir Hydraulic Fracturing
Kongyang Wang, Jingen Deng, Wei Yan, Dickson Muchiri Nguu, Qiwu Yin, Shengsong Huang
March 1, 2023 (v1)
Keywords: casing deformation, geometric characteristics, quantitative analysis description, shale
Casing deformation is a common but serious problem experienced during hydraulic fracturing operations in shale reservoirs. The Multi-Finger Imaging Tool is used to measure the casing deformation where the casing inner diameter is the only parameter used to characterize the deformation. Many deformed casing geometric details are often ignored, and these geometric characteristics are helpful for revealing the casing deformation mechanism. In this study, we established a quantitative method to describe the casing deformation using methods of judging the similarity of curves. By comparing the field casing deformation sections and the initial casing section, we categorized the casing deformation sections into concave and elliptical types. Furthermore, using the centroid calculation, elliptical type was sub-divided into symmetric ellipse type and eccentric ellipse type. On the basis of the Weiyuan and Guandong oil field’s fault distribution maps, we demonstrated that the fault slip could be... [more]
Qualitative Analysis of Household Energy Awareness in Poland
Joanna Rosak-Szyrocka, Justyna Żywiołek
March 1, 2023 (v1)
Keywords: customer awareness, Energy, interrelationship diagram, Ishikawa diagram, model of the causes of increasing energy consumption in households, Pareto–Lorenz diagram
Because of disruptive changes in energy businesses and services, as well as changes in people’s lifestyles around the world, energy demand and consumption have risen quickly in recent decades. A household energy awareness literature review was conducted. The survey was conducted in Poland with over 1097 respondents. Additionally, it was given a qualitative analysis. At the same time, in order to consider why energy consumption in households is increasing, a traditional quality management tool was used—the Ishikawa diagram. The Pareto−Lorenz diagram was used to analyze the causes of the increase in energy consumption in households. A model of the causes of increasing energy consumption in households has been built. The researchers calculated the chi-square test, which allows them to determine Pearson’s C coefficient. The C-Pearson coefficient can be calculated using the Chi square value. The results of the study clearly show that the respondents have knowledge of energy and the factors... [more]
Single-Phase Charging of EV Embedded Batteries in an MMC with Submodule Override Capability
Alaa Omar, Alan Wood, Hamish Laird, Paul Gaynor
March 1, 2023 (v1)
Keywords: charging, EV, MMC-EB, SOC balancing
The modular multilevel converter with embedded batteries is a viable alternative in electric vehicle drive systems. This research investigates integrated charging of the embedded batteries in a three-phase converter from a single-phase source without any additional hardware requirements. Two phases of the converter are connected to the supply while the third converter leg is not connected. In a typical charging of the converter batteries, the batteries with a lower state of charge are prioritised. Then all batteries are balanced at an average global state of charge. This research proposes a new sorting algorithm of the converter batteries with an override capability to bypass any individual submodule if required. This bypassing capability is modulation method independent, thus can be integrated with any modulation method. Simulation results and a real-time emulation of the charging system validate the proposed control method and the override algorithm. In addition, an open-loop switchi... [more]
Online Estimation of the Mechanical Parameters of a Wind Turbine with Doubly Fed Induction Generator by Utilizing Turbulence Excitations
Yening Lai, Ling Zhu, Xueping Pan, Jinpeng Guo, Dazhuang He, Wei Liang
March 1, 2023 (v1)
Keywords: DFIG, identifiability, parameter estimation, PSD sensitivity, weighted Levenberg–Marquardt method
In this paper, a new method using wind turbulence excitation is proposed to estimate the parameters of the mechanical system (drivetrain and pitch angle controller) in a Doubly Fed Induction Generator (DFIG) Wind Turbine (WT). Firstly, simulations were carried out for a DFIG WT under turbulence excitations. The spectral contents of the responses imply that the transients of the electrical system (generator and converter), which are much faster than those of the mechanical system, can be neglected when estimating the mechanical parameters. Based on this, a simplified model related to the mechanical system of the DFIG WT was derived by applying the model reduction technique. Secondly, the parameter sensitivity of Power Spectral Density (PSD) was used to quantify the impacts of individual parameters on the dynamics of the mechanical system, and the influential parameters were selected on the basis of the sensitivity results. Finally, a weighted least-squares optimization problem, which is... [more]
A Review on Peak Load Shaving in Microgrid—Potential Benefits, Challenges, and Future Trend
Md Masud Rana, Mohamed Atef, Md Rasel Sarkar, Moslem Uddin, GM Shafiullah
March 1, 2023 (v1)
Keywords: battery energy storage system, energy distribution technique, microgrids, peak shaving
This study aims to review the potential benefits of peak load shaving in a microgrid system. The relevance of peak shaving for a microgrid system is presented in this research review at the outset to justify the peak load shaving efficacy. The prospective benefits of peak shaving in microgrid systems, including technological, economic, and environmental advantages, are thoroughly examined. This review study also presents a cost−benefit numerical analysis to illustrate the economic viability of peak load shaving for a microgrid system. Different peak shaving approaches are briefly discussed, as well as the obstacles of putting them into practice. Finally, this review study reveals some potential future trends and possible directions for peak shaving research in microgrid systems. This review paper lays a strong foundation for identifying the potential benefits of peak shaving in microgrid systems and establishing suitable projects for practical effectuation.
Expansion Planning of Power Distribution Systems Considering Reliability: A Comprehensive Review
Gustavo L. Aschidamini, Gederson A. da Cruz, Mariana Resener, Maicon J. S. Ramos, Luís A. Pereira, Bibiana P. Ferraz, Sérgio Haffner, Panos M. Pardalos
March 1, 2023 (v1)
Keywords: distribution system, expansion planning, optimization models, reliability
One of the big concerns when planning the expansion of power distribution systems (PDS) is reliability. This is defined as the ability to continuously meet the load demand of consumers in terms of quantity and quality. In a scenario in which consumers increasingly demand high supply quality, including few interruptions and continuity, it becomes essential to consider reliability indices in models used to plan PDS. The inclusion of reliability in optimization models is a challenge, given the need to estimate failure rates for the network and devices. Such failure rates depend on the specific characteristics of a feeder. In this context, this paper discusses the main reliability indices, followed by a comprehensive survey of the methods and models used to solve the optimal expansion planning of PDS considering reliability criteria. Emphasis is also placed on comparing the main features and contributions of each article, aiming to provide a handy resource for researchers. The comparison i... [more]
Investigation of the Degradation Behavior of Cyclophosphamide by Catalytic Ozonation Based on Mg(OH)2
Lakshmi Prasanna.V, Dror Avisar
March 1, 2023 (v1)
Subject: Environment
Keywords: cyclophosphamide, heterogeneous catalytic ozonation, ozone, synthetic effluents
Metal hydroxides, owing to their catalytic active sites for the decomposition of O3 to Reactive Oxygen Species (ROS), have been adapted for catalytic ozonation of micropollutants in wastewater. In this study, commercial Mg (OH)2 was used for the degradation of cyclophosphamide (CYP) by ozone. The crystal phase was confirmed by X-ray powder Diffraction (XRD). Percent degradation of 10 ppm CYP after 30 min by O3 and Mg (OH)2/O3 was 56 and 93, respectively, suggesting enhanced decomposition of O3 to ROS by the catalyst. The presence of ROS was further confirmed using pCBA as a probe, which showed that the concentration of ROS was eight times higher in the presence of Mg (OH)2/O3 than O3 alone. Catalytic ozonation experiments in the presence of scavengers showed that OH· radicals play a significant role in the degradation of CYP. The catalyst was found to be reusable for at least three cycles without significant loss in degradation efficiency. To study the compatibility of Mg (OH)2 for was... [more]
Scalable IoT Architecture for Monitoring IEQ Conditions in Public and Private Buildings
Isidro Calvo, Aitana Espin, Jose Miguel Gil-García, Pablo Fernández Bustamante, Oscar Barambones, Estibaliz Apiñaniz
March 1, 2023 (v1)
Subject: Environment
Keywords: Arduino, IAQ, IEQ, IoT, MQTT, open source, Raspberry Pi, SDGs, WSN
This paper presents a scalable IoT architecture based on the edge−fog−cloud paradigm for monitoring the Indoor Environmental Quality (IEQ) parameters in public buildings. Nowadays, IEQ monitoring systems are becoming important for several reasons: (1) to ensure that temperature and humidity conditions are adequate, improving the comfort and productivity of the occupants; (2) to introduce actions to reduce energy consumption, contributing to achieving the Sustainable Development Goals (SDG); and (3) to guarantee the quality of the air—a key concern due to the COVID-19 worldwide pandemic. Two kinds of nodes compose the proposed architecture; these are the so-called: (1) smart IEQ sensor nodes, responsible for acquiring indoor environmental measures locally, and (2) the IEQ concentrators, responsible for collecting the data from smart sensor nodes distributed along the facilities. The IEQ concentrators are also responsible for configuring the acquisition system locally, logging the acquir... [more]
A Deep Learning Method Based on Bidirectional WaveNet for Voltage Sag State Estimation via Limited Monitors in Power System
Yaping Deng, Lu Wang, Hao Jia, Xiaohui Zhang, Xiangqian Tong
March 1, 2023 (v1)
Keywords: bidirectional WaveNet, deep learning, power quality, state estimation, voltage sag
Voltage sag state estimation on the basis of a limited number of installed monitors is essential to dividing the responsibility for the voltage sag and taking corresponding measurements for improvement in voltage quality. Therefore, a deep learning methodology via bidirectional WaveNet for the voltage sag state estimation is proposed in this paper. The presented method can simultaneously estimate voltage sag state at non-monitored buses via limited monitors. Especially, the proposed deep learning method using the bidirectional WaveNet is designed to explore the long-term and long-range temporal dependencies in both the forward and backward directions. In this way, only by using original measured voltages through monitors, high accuracy for voltage sag state estimation can be achieved without restructured or redesign of the raw monitored data. An excellent advantage of the presented algorithm is that it can be implemented without system parameters or operating conditions or any other pr... [more]
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