Browse
Record Types
Records with Type: Published Article
Showing records 21344 to 21368 of 43292. [First] Page: 1 851 852 853 854 855 856 857 858 859 Last
Probabilistic Assessment and Uncertainty Analysis of CO2 Storage Capacity of the Morrow B Sandstone—Farnsworth Field Unit
Jonathan Asante, William Ampomah, Dylan Rose-Coss, Martha Cather, Robert Balch
March 6, 2023 (v1)
Subject: Environment
Keywords: carbon dioxide storage, expectation curve, Monte Carlo, probabilistic, storage efficiency factor
This paper presents probabilistic methods to estimate the quantity of carbon dioxide (CO2) that can be stored in a mature oil reservoir and analyzes the uncertainties associated with the estimation. This work uses data from the Farnsworth Field Unit (FWU), Ochiltree County, Texas, which is currently undergoing a tertiary recovery process. The input parameters are determined from seismic, core, and fluid analyses. The results of the estimation of the CO2 storage capacity of the reservoir are presented with both expectation curve and log probability plot. The expectation curve provides a range of possible outcomes such as the P90, P50, and P10. The deterministic value is calculated as the statistical mean of the storage capacity. The coefficient of variation and the uncertainty index, P10/P90, is used to analyze the overall uncertainty of the estimations. A relative impact plot is developed to analyze the sensitivity of the input parameters towards the total uncertainty and compared with... [more]
Degree of Biomass Conversion in the Integrated Production of Bioethanol and Biogas
Krzysztof Pilarski, Agnieszka A. Pilarska, Piotr Boniecki, Gniewko Niedbała, Kamil Witaszek, Magdalena Piekutowska, Małgorzata Idzior-Haufa, Agnieszka Wawrzyniak
March 6, 2023 (v1)
Keywords: biochemical methane potential correction coefficient (BMPCC), bioethanol, biogas, biomass conversion degree, stillage
The integrated production of bioethanol and biogas makes it possible to optimise the production of carriers from renewable raw materials. The installation analysed in this experimental paper was a hybrid system, in which waste from the production of bioethanol was used in a biogas plant with a capacity of 1 MWe. The main objective of this study was to determine the energy potential of biomass used for the production of bioethanol and biogas. Based on the results obtained, the conversion rate of the biomass—maize, in this case—into bioethanol was determined as the efficiency of the process of bioethanol production. A biomass conversion study was conducted for 12 months, during which both maize grains and stillage were sampled once per quarter (QU-I, QU-II, QU-III, QU-IV; QU—quarter) for testing. Between 342 L (QU-II) and 370 L (QU-I) of ethanol was obtained from the organic matter subjected to alcoholic fermentation. The mass that did not undergo conversion to bioethanol ranged from 269... [more]
Low-Emission Alternative Energy for Transport in the EU: State of Play of Research and Innovation
Alejandro Ortega, Konstantinos Gkoumas, Anastasios Tsakalidis, Ferenc Pekár
March 6, 2023 (v1)
Keywords: alcohols, Energy Efficiency, esters and ethers, liquefied petroleum gas, methane-based fuels, synthetic paraffinic and aromatic fuels
The 2030 Climate target plan of the European Commission (EC) establishes a greenhouse gases (GHG) emissions reduction target of at least 55% by 2030, compared to 1990. It highlights that all transport modes—road, rail, aviation and waterborne—will have to contribute to this aim. A smart combination of vehicle/vessel/aircraft efficiency improvements, as well as fuel mix changes, are among the measures that can reduce GHG emissions, reducing at the same time noise pollution and improving air quality. This research provides a comprehensive analysis of recent research and innovation in low-emission alternative energy for transport (excluding hydrogen) in selected European Union (EU)-funded projects. It considers the latest developments in the field, identifying relevant researched technologies by fuel type and their development phase. The results show that liquefied natural gas (LNG) refueling stations, followed by biofuels for road transport and alternative aviation fuels, are among the r... [more]
Experimental Determination of Parameters of Nonlinear Electrical Load
Aleksandr Skamyin, Yaroslav Shklyarskiy, Vasiliy Dobush, Iuliia Dobush
March 6, 2023 (v1)
Keywords: capacitor banks, experimental study, harmonics, Modelling, nonlinear electrical load, passive filters, power quality, six-pulse rectifier, thyristor regulator, total harmonic distortion
The paper deals with issues of modeling nonlinear electrical loads of various types, such an uncontrolled rectifier, thyristor rectifier, thyristor power regulator and mixed equivalent nonlinear load. For these load types, existing analytical expressions were identified to determine the magnitudes of harmonic currents, and waveforms of currents were obtained during measurements in laboratory conditions with variable parameters of the grid impedance and load. The obtained results were compared, and it was found that the error in determining the magnitudes of harmonic currents can reach 60% for an individual load and 54% for an equivalent load. A more accurate method for determining the parameters of nonlinear electrical load is also proposed, which is based on the application of shunt harmonic filters. In laboratory conditions, it was found that when using the developed method, the error did not exceed 10% for an individual load and 14% for an equivalent load.
Analysis on the Improvement of Thermal Performance of Phase Change Material Ba (OH)2·8H2O
Xiaohui Lu, Xiaoxue Luo, Shibo Cao, Changzhen Zou
March 6, 2023 (v1)
Subject: Materials
Keywords: Ba(OH)2·8H2O, latent heat, nucleation, phase change, supercooling
Benefitting from the characteristics of a high latent heat capacity and stable phase change behavior, phase change materials have widely received concerns in the field of thermodynamic management. Ba(OH)2·8H2O is an ideal phase change material (PCM) in the mid-to-low temperature range, but its large-scale application is still limited by severe supercooling during the nucleation process. In this paper, the experimental analysis and comparison are performed via an Edisonian approach, where Ba(OH)2·8H2O is adopted as an original substrate; BaCO3, CaCl2, NaCl, KH2PO4, and NaOH are selected as nucleating agents; and graphite is used as a heat-conducting agent. The results show that Ba(OH)2·8H2O containing 1.2% BaCO3 and 0.2% graphite powder has the best performance. Compared with pure Ba(OH)2·8H2O, the supercooling degree is reduced to less than 1 °C, the phase change latent heat duration is extended, and the thermal conductivity is significantly improved. Therefore, this study not only pro... [more]
Physics-Based Deep Learning for Flow Problems
Yubiao Sun, Qiankun Sun, Kan Qin
March 6, 2023 (v1)
Keywords: automatic differentiation, deep learning, partial differential equation, physics-informed neural networks, Surrogate Model
It is the tradition for the fluid community to study fluid dynamics problems via numerical simulations such as finite-element, finite-difference and finite-volume methods. These approaches use various mesh techniques to discretize a complicated geometry and eventually convert governing equations into finite-dimensional algebraic systems. To date, many attempts have been made by exploiting machine learning to solve flow problems. However, conventional data-driven machine learning algorithms require heavy inputs of large labeled data, which is computationally expensive for complex and multi-physics problems. In this paper, we proposed a data-free, physics-driven deep learning approach to solve various low-speed flow problems and demonstrated its robustness in generating reliable solutions. Instead of feeding neural networks large labeled data, we exploited the known physical laws and incorporated this physics into a neural network to relax the strict requirement of big data and improve p... [more]
A Decentralized Passive Islanding Detection Method Based on the Variations of Estimated Droop Characteristics
Juan Roberto Lopez, Luis Ibarra, Pedro Ponce, Arturo Molina
March 6, 2023 (v1)
Keywords: decentralized operation, distributed generation, droop characteristics, islanding detection, microgrid
A microgrid including distributed generators can operate connected to the main electrical network or in an isolated manner, referred to as island operation. The transition between both states can occur voluntarily, but a disconnection can also happen unexpectedly. The associated transients can be harmful to the grid, and compensating actions must be triggered to avoid service interruption, preserve power quality, and minimize the possibility of faults; island detection methods are essential to this end. Such techniques typically depend on communication networks or on the introduction of minor electrical disturbances to identify and broadcast unexpected islanding events. However, local energy resources are distributed, variable, and are expected to be integrated in a plug-and-play manner; then, conventional island detection strategies can be ineffective as they rely on specific infrastructure. To overcome those problems, this work proposes a straightforward, distributed island detection... [more]
An Integrated Fuzzy Fault Tree Model with Bayesian Network-Based Maintenance Optimization of Complex Equipment in Automotive Manufacturing
Hamzeh Soltanali, Mehdi Khojastehpour, José Torres Farinha, José Edmundo de Almeida e Pais
March 6, 2023 (v1)
Keywords: automotive industry, Bayesian network, fault tree analysis, fuzzy set theory, maintenance optimization, uncertainty
Process integrity, insufficient data, and system complexity in the automotive manufacturing sector are the major uncertainty factors used to predict failure probability (FP), and which are very influential in achieving a reliable maintenance program. To deal with such uncertainties, this study proposes a fuzzy fault tree analysis (FFTA) approach as a proactive knowledge-based technique to estimate the FP towards a convenient maintenance plan in the automotive manufacturing industry. Furthermore, in order to enhance the accuracy of the FFTA model in predicting FP, the effective decision attributes, such as the experts’ trait impacts; scales variation; and assorted membership, and the defuzzification functions were investigated. Moreover, due to the undynamic relationship between the failures of complex systems in the current FFTA model, a Bayesian network (BN) theory was employed. The results of the FFTA model revealed that the changes in various decision attributes were not statistical... [more]
Distributed Power Generation Scheduling, Modeling, and Expansion Planning
Javier Contreras, Gregorio Muñoz-Delgado
March 6, 2023 (v1)
This volume contains the successful invited submissions [...]
Joint Acquisition Time Design and Sensor Association for Wireless Sensor Networks in Microgrids
Liang Zhong , Shizhong Zhang , Yidu Zhang , Guang Chen , Yong Liu 
March 6, 2023 (v1)
Keywords: acquisition time design, cluster members association, microgrids, topology control, wireless sensor network
Wireless sensor networks are used to monitor the operating status of the microgrids, which can effectively improve the stability of power supplies. The topology control is a critical issue of wireless sensor networks, which affects monitoring data transmission reliability and lifetime of wireless sensor networks. Meanwhile, the data acquisition accuracy of wireless sensor networks has a great impact on the quality of monitoring. Therefore, this paper focuses on improving wireless sensor networks data acquisition satisfaction and energy efficiency. A joint acquisition time design and sensor association optimization algorithm is proposed to prolong the lifetime of wireless sensor networks and enhance the stability of monitoring, which considers the cluster heads selection, data collection satisfaction and sensor association. First, a multi-constrained mixed-integer programming problem, which combines acquisition time design and sensor association, is formulated to maximize data acquisiti... [more]
Smart Charging of Electric Vehicles Considering SOC-Dependent Maximum Charging Powers
Benjamin Schaden, Thomas Jatschka, Steffen Limmer, Günther Robert Raidl
March 6, 2023 (v1)
Keywords: charging scheduling, electric vehicles, mixed integer linear programming, state-of-charge dependent maximum charging power
The aim of this work is to schedule the charging of electric vehicles (EVs) at a single charging station such that the temporal availability of each EV as well as the maximum available power at the station are considered. The total costs for charging the vehicles should be minimized w.r.t. time-dependent electricity costs. A particular challenge investigated in this work is that the maximum power at which a vehicle can be charged is dependent on the current state of charge (SOC) of the vehicle. Such a consideration is particularly relevant in the case of fast charging. Considering this aspect for a discretized time horizon is not trivial, as the maximum charging power of an EV may also change in between time steps. To deal with this issue, we instead consider the energy by which an EV can be charged within a time step. For this purpose, we show how to derive the maximum charging energy in an exact as well as an approximate way. Moreover, we propose two methods for solving the schedulin... [more]
Adaptive Protection Coordination Method Design of Remote Microgrid for Three-Phase Short Circuit Fault
Wookyu Chae, Jung-Hun Lee, Woo-Hyun Kim, Sungwook Hwang, Jun-Oh Kim, Jae-Eon Kim
March 6, 2023 (v1)
Keywords: adaptive protection, ESS, relay, remote microgrid, Renewable and Sustainable Energy, short circuit fault
Generally, the fault current supplied by inverter-based renewable energy sources (IBRES) and electrical storage systems (ESS) is about 1.2 to 2 times their rated current and much lower than synchronous generators because the former acts as a current source and the latter acts as a voltage source. A conventional power system in a small island is composed of only synchronous generators and protected from short circuit faults using an overcurrent relay (OCR). However, in the remote microgrid with IBRES, ESS, and synchronous generators, the fault current varies depending on the configuration of generation sources. Namely, the fixed OCR protection method cannot protect microgrids from short circuit faults. This paper proposes an adaptive protection method to protect the microgrid from faults by actively changing the OCR setting according to the state of the generator source combination. A microgrid with ESS and a synchronous generator is modeled and simulated through PSCAD/EMTDC software to... [more]
Synergies between Renewable Energy and Flexibility Investments: A Case of a Medium-Sized Industry
Natapon Wanapinit, Jessica Thomsen
March 6, 2023 (v1)
Keywords: demand-side management, hydrogen economy, investment, Optimization, Renewable and Sustainable Energy
Climate and energy policies are tools used to steer the development of a sustainable economy supplied by equally sustainable energy systems. End-users should plan their investments accounting for future policies, such as incentives for system-oriented consumption, emission prices and hydrogen economy, to ensure long-term competitiveness. In this work, the utilization of variable renewable energy and flexibility potentials in a case study of an aggregate industry is investigated. An energy concept considering PV and battery expansion, flexible production, fuel cell electric trucks (FCEV) and hydrogen production is proposed, and analysed under expected techno-economic conditions and policies of 2030 using an energy system optimization model. Under this concept, total costs and emissions are reduced by 14% and 70%, respectively, compared to the business-as-usual system. The main benefit of PV investment is the lowered electricity procurement. Flexibility from schedulable manufacturing and... [more]
Feasibility of Using Electrodes with Ultralow Pt Loading in Two-Chamber Microbial Electrolysis Cells
Eunjin Jwa, Mijin Kim, Ji-Hyung Han, Namjo Jeong, Hyun-Chul Kim, Yeo-Myeong Yun, Joo-Youn Nam
March 6, 2023 (v1)
Keywords: cathode, electrode size, energy recovery, hydrogen production, microbial electrolysis cell, Pt loading
Decreasing the Pt loading and surface area of the cathode was found to accelerate the hydrogen evolution reaction in microbial electrolysis cells (MEC) at low substrate concentrations. The experimental wire cathode used in this study had a reduced Pt loading of 20 µg Pt/cm2 and only 14% of the surface area of the control disk-type cathode. With the wire cathodes, peak current densities of 33.1 ± 2.3 A/m2 to 30.4 ± 0.5 A/m2 were obtained at substrate concentrations of 0.4 g/L and 1.0 g/L, respectively, which were 5.4 to 6.2 times higher than those obtained with the disk electrode (5.1−5.7 A/m2). The higher cathode overpotentials and higher current densities obtained with the wire electrode compared to those observed with the disk electrode were advantageous for hydrogen recovery, energy recovery efficiencies, and the hydrogen volume produced (8.5 ± 1.2 mL at 0.4 g/L to 23.0 ± 2.2 mL at 1.0 g/L with the wire electrode; 6.8 ± 0.4 mL at 0.4 g/L to 21.8 ± 2.2 mL at 1.0 g/L with the disk ele... [more]
The Second Generation Electromobility in Polish Urban Public Transport: The Factors and Mechanisms of Spatial Development
Robert Guzik, Arkadiusz Kołoś, Jakub Taczanowski, Łukasz Fiedeń, Krzysztof Gwosdz, Katarzyna Hetmańczyk, Jakub Łodziński
March 6, 2023 (v1)
Keywords: cities, electromobility, energy transition, Poland, sustainable mobility, urban public transport, zero and low-emission buses
One of the key challenges on the road to sustainable mobility is the development of low/zero emission urban public transport (UPT). This is crucial in order to meet environmental requirements aiming at reducing greenhouse gas (GHG) emission. In some countries (e.g., Poland) reduction of air pollution is also an important reason behind the implementation of low/zero emission UPT. The aim of this study is to investigate the factors and mechanisms influencing the development of modern electromobility in Polish UPT. We have examined all 242 UPT systems in the country in terms of the characteristics of the relevant urban municipalities, such as size, economic prosperity, level of human and social capital, development paths of urban public transport in the long term as well as the institutional context and proximity and connections to other cities with experience in electromobility. Classification and statistical methods are used based on a variety of approaches, as assigning a score to vari... [more]
3D Numerical Modelling of the Application of Cemented Paste Backfill on Displacements around Strip Excavations
Krzysztof Skrzypkowski
March 6, 2023 (v1)
Keywords: cemented paste backfill, compressive and tensile strength, curing time, displacement, numerical modeling, RS3, strip mining
This article presents laboratory and spatial numerical modeling of cemented paste backfill. The first part of the research concerned laboratory tests of a mixture of sand, water, and variable cement content (5%, 10%, and 15%). The density and curing time of the mixture were determined. Moreover, cylindrical samples with a diameter of 46 mm and a height of 92 mm were constructed, for which compressive and tensile strength were calculated after one, two, three, and four weeks. The second part of the research concerned 3D numerical modeling with the use of RS3 software. For the exploitation field with dimensions of 65 m × 65 m, a strip-mining method was designed. The main objective of the research was to determine the changes in displacements around the haulage room and transportation roadway located in the immediate vicinity of the exploitation field. For the first time in numerical modeling, a two-sided strip method was used for the four stages of mining the ore deposit where the post-m... [more]
Operation of Distributed Battery Considering Demand Response Using Deep Reinforcement Learning in Grid Edge Control
Wenying Li, Ming Tang, Xinzhen Zhang, Danhui Gao, Jian Wang
March 6, 2023 (v1)
Keywords: deep reinforcement learning (DRL), demand response (DR), distributed battery energy storage system (BESS), grid edge control, multi-agent algorithm, three-phase unbalance
Battery energy storage systems (BESSs) are able to facilitate economical operation of the grid through demand response (DR), and are regarded as the most significant DR resource. Among them, distributed BESS integrating home photovoltaics (PV) have developed rapidly, and account for nearly 40% of newly installed capacity. However, the use scenarios and use efficiency of distributed BESS are far from sufficient to be able to utilize the potential loads and overcome uncertainties caused by disorderly operation. In this paper, the low-voltage transformer-powered area (LVTPA) is firstly defined, and then a DR grid edge controller was implemented based on deep reinforcement learning to maximize the total DR benefits and promote three-phase balance in the LVTPA. The proposed DR problem is formulated as a Markov decision process (MDP). In addition, the deep deterministic policy gradient (DDPG) algorithm is applied to train the controller in order to learn the optimal DR strategy. Additionally... [more]
Method to Evaluate the Resistance−Capacitance Voltage Divider and Uncertainty Analysis
Yi Luo, Bin Guo, Bin Qian, Lijuan Xu, Fan Zhang, Fusheng Li, Xingxing Feng
March 6, 2023 (v1)
Keywords: resistance and capacitance parameters, uncertainty of measurement, voltage divider
The resistance and capacitance parameters of a resistance−capacitance divider may change due to factors such as long-term operation, internal insulation flashover, and dielectric breakdown, which will affect the measurement characteristics of the resistance−capacitance divider. Since it is difficult to separate the voltage divider, and because improper disassembly will damage the insulation of the equipment, measuring the resistance and capacitance parameters of a voltage divider non-destructively has always been a problem. In this paper, an indirect method for evaluating the resistance and capacitance parameters is proposed, and the uncertainty of measurement of this method is determined. Simulation and actual test results show that this method can be used to estimate the resistance−capacitance parameters and has a good level of measurement accuracy. Besides, through the uncertainty analysis, it is concluded that the proposed method can overcome measurement errors within a certain ran... [more]
The Subsequent Effects of Soil Pollution by Petroleum Products and Its Bioremediation on the Antioxidant Response and Content of Elements in Vicia faba Plants
Janina Gospodarek, Milena Rusin, Marta Kandziora-Ciupa, Aleksandra Nadgórska-Socha
March 6, 2023 (v1)
Subject: Environment
Keywords: antioxidant enzymes, antioxidants, bioremediation, broad bean, oil derivatives, soil pollution
Petroleum-derived substances (PDSs), which are one of the most significant sources of energy, have become key factors that affect soils and, consequently, plants. The aim of this study was to determine the subsequent effects of soil contamination by PDSs such as petrol (P), diesel fuel (DF) and used engine oil (EO), in addition to its bioremediation using a ZB-01 biopreparation, on the activities of antioxidising enzymes as well as on the content of antioxidants in the leaves of Vicia faba L. The effects on the growth of the plants and their chemical composition were also determined. The results showed that as many as five years after contamination, engine oil and diesel fuel adversely affected the growth of plants. PDSs caused a significant increase in the activity of peroxidase and an increase in the content of proline. The contamination of the soil with oils (EO and DF) resulted in a decrease in the content of nutrients (Ca, Mg and P) in the plants. DF also decreased the content of... [more]
Assessment of Durum Wheat (Triticum durum Desf.) Genotypes Diversity for the Integrated Production of Bioethanol and Grains
Donatella Danzi, Ivana Marino, Isabella De Bari, Silvio Mastrolitti, Giacomo L. Petretto, Domenico Pignone, Michela Janni, Francesco Cellini, Tullio Venditti
March 6, 2023 (v1)
Keywords: biofuel, genotype, lignin content, lignocellulosic biomass, recalcitrance, saccharification
Wheat straw is an abundant source of lignocellulosic biomass that is generally not utilized for biofuel production, nor for other uses. Recent EU renewable energy directive fosters bioethanol production through lignocellulosic sugars fermentation, but the cost of this process is an issue that often depends on biomass characteristics. Lignin is a class of three-dimensional polymers providing structural integrity of plant tissues. Its complex structure, together with hemicelluloses and uronic acids content, could affect the ability of hydrolyzing biomass to fermentable sugars. To get insights into this variation, a set of 10 durum wheat genotypes was analyzed to determine variation of straw digestibility to fermentable sugars. The results showed that the lignin content was the major factor determining the recalcitrance to enzymatic process. The analysis of Spearman’s correlation indicated that the sugar released after enzymatic hydrolysis had a negative connection with the lignin content... [more]
Hydrogen Station Location Planning via Geodesign in Connecticut: Comparing Optimization Models and Structured Stakeholder Collaboration
Oscar Lopez Jaramillo, Joel Rinebold, Michael Kuby, Scott Kelley, Darren Ruddell, Rhian Stotts, Aimee Krafft, Elizabeth Wentz
March 6, 2023 (v1)
Keywords: collaborative planning, FCEV, geodesign, hydrogen fuel cell vehicle, optimization models, refueling station, stakeholder engagement, station network design
Geodesign is a participatory planning approach in which stakeholders use geographic information systems to develop and vet alternative design scenarios in a collaborative and iterative process. This study is based on a 2019 geodesign workshop in which 17 participants from industry, government, university, and non-profit sectors worked together to design an initial network of hydrogen refueling stations in the Hartford, Connecticut, metropolitan area. The workshop involved identifying relevant location factors, rapid prototyping of station network designs, and developing consensus on a final design. The geodesign platform, which was designed specifically for facility location problems, enables breakout groups to add or delete stations with a simple point-and-click operation, view and overlay different map layers, compute performance metrics, and compare their designs to those of other groups. By using these sources of information and their own expert local knowledge, participants recomm... [more]
EMI Shielding and Absorption of Electroconductive Textiles with PANI and PPy Conductive Polymers and Numerical Model Approach
Tomasz Rybicki, Zbigniew Stempien, Iwona Karbownik
March 6, 2023 (v1)
Keywords: conductive polymers, EMI shielding, FEM
The paper presents the results and analysis of interdisciplinary research concerning electromagnetic field shielding, conductive polymers printed on textiles and numerical simulation using the finite element method (FEM). The use of conductive, layered textiles for shielding electromagnetic interference (EMI) has been proposed. After establishing the optimal conditions for deposition of polyaniline (PANI) and polypyrrole (PPy) on polyacrylonitrile (PAN) fabric, conductive composites were made by means of reactive inkjet printing. For this purpose, polyacrylonitrile (PAN) fabrics were coated with polyaniline or polypyrrole, obtained by chemical oxidation of aniline hydrochloride and pyrrole by ammonium peroxydisulfate. The morphology of the obtained coatings was observed using a scanning electron microscope (SEM). The conductive properties (surface resistance) of the fabrics were measured using the four-wire method, and the tests of the effectiveness of electromagnetic shielding were ca... [more]
Reverse Osmosis Desalination Plants Energy Consumption Management and Optimization for Improving Power Systems Voltage Stability with PV Generation Resources
Zeyad A. Haidar, Mamdooh Al-Saud, Jamel Orfi, Hany Al-Ansary
March 6, 2023 (v1)
Subject: Optimization
Keywords: energy consumption management, Optimization, RO desalination plants, solar PV plants, voltage stability
This paper studies energy consumption management of seawater Reverse Osmosis (RO) desalination plants to maintain and enhance the Voltage Stability (VS) of Power Systems (PS) with Photovoltaic (PV) plant integration. We proposed a voltage-based management algorithm to determine the maximum power consumption for RO plants. The algorithm uses power flow study to determine the RO plant power consumption allowed within the voltage-permissible limits, considering the RO process constraints in order to maintain the desired fresh water supply. Three cases were studied for the proposed RO plant: typical operation with constant power consumption, controlled operation using ON/OFF scheduling of the High-Pressure Pumps (HPPs) and controlled operation using Variable Frequency Drive (VFD) control. A modified IEEE 30-bus system with a variable load was used as a case study with integration of three PV plants of 75 MWp total power capacity. The adopted 33.33 MW RO plant has a maximum capacity of 200,... [more]
Green Energy in Ukraine: State, Public Demands, and Trends
Aleksandra Kuzior, Alla Lobanova, Liudmyla Kalashnikova
March 6, 2023 (v1)
Subject: Environment
Keywords: environmental awareness, environmental independence, environmental problems, environmental safety, green energy, renewable energy sources
The main purpose of this paper is to analyze and address the challenges of implementing green energy in Ukraine, in particular, to identify its advantages and disadvantages. The implementation of solar renewable sources—stations, panels, and batteries—is emphasized. The results of sociological surveys of Ukrainian public opinion on environmental issues, in particular, energy issues, are presented. The existence of public demand for renewable energy and the readiness of the population to use renewable energy sources are identified. A strategy for strengthening the country’s energy independence in the face of new globalization challenges is defined. General scientific methods as well as special methods were used in this paper: statistical analysis, secondary analysis of data from sociological studies of public institutions, and desk analysis of documents and reports from public services. In this paper, it is concluded that Ukraine is geographically and territorially attractive for green... [more]
Carbon-Negative Hydrogen Production (HyBECCS) from Organic Waste Materials in Germany: How to Estimate Bioenergy and Greenhouse Gas Mitigation Potential
Johannes Full, Mathias Trauner, Robert Miehe, Alexander Sauer
March 6, 2023 (v1)
Subject: Materials
Keywords: bioenergy potential, biohydrogen, HyBECCS, Hydrogen, waste-to-hydrogen
Hydrogen derived from biomass feedstock (biohydrogen) can play a significant role in Germany’s hydrogen economy. However, the bioenergy potential and environmental benefits of biohydrogen production are still largely unknown. Additionally, there are no uniform evaluation methods present for these emerging technologies. Therefore, this paper presents a methodological approach for the evaluation of bioenergy potentials and the attainable environmental impacts of these processes in terms of their carbon footprints. A procedure for determining bioenergy potentials is presented, which provides information on the amount of usable energy after conversion when applied. Therefore, it elaborates a four-step methodical conduct, dealing with available waste materials, uncertainties of early-stage processes, and calculation aspects. The bioenergy to be generated can result in carbon emission savings by substituting fossil energy carriers as well as in negative emissions by applying biohydrogen prod... [more]
Showing records 21344 to 21368 of 43292. [First] Page: 1 851 852 853 854 855 856 857 858 859 Last
(0.7 seconds) 0 + 0
[Show List of Record Types]