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Showing records 42222 to 42246 of 43292. [First] Page: 1 1686 1687 1688 1689 1690 1691 1692 1693 1694 Last
Maximum Power Point Tracking Sensorless Control of an Axial-Flux Permanent Magnet Vernier Wind Power Generator
Xiang Luo, Shuangxia Niu
January 7, 2019 (v1)
Keywords: axial flux permanent magnet machine, MPPT, sensorless control, SMO, vernier machine
Recently, Vernier permanent magnet (VPM) machines, one special case of magnetic flux-modulated (MFM) machines, benefiting from their compact, simple construction and low-speed/ high-torque characteristics, have been receiving increasing interest. In this paper, the Vernier structure is integrated with an axial-flux PM machine to obtain the magnetic gear effect and produce an improved torque density for direct-drive wind power generation application. Another advantage of the proposed machine is that the stator flux rotating speed can be relatively high when the shaft speed is low. With this benefit, sensorless control strategy can be easily implemented in a wide speed range. In this paper, an improved sliding mode observer (SMO) is proposed to estimate the rotor position and the speed of the proposed machine. With the estimated shaft speeds, the maximum power point tracking (MPPT) control strategy is applied to maximize the wind power extraction. The machine design and the sensorless MP... [more]
A Run-Time Dynamic Reconfigurable Computing System for Lithium-Ion Battery Prognosis
Shaojun Wang, Datong Liu, Jianbao Zhou, Bin Zhang, Yu Peng
January 7, 2019 (v1)
Keywords: field programmable gate array, lithium-ion battery, relevance vector machine, remaining useful life
As safety and reliability critical components, lithium-ion batteries always require real-time diagnosis and prognosis. This often involves a large amount of computation, which makes diagnosis and prognosis difficult to implement, especially in embedded or mobile applications. To address this issue, this paper proposes a run-time Reconfigurable Computing (RC) system on Field Programmable Gate Array (FPGA) for Relevance Vector Machine (RVM) to realize real-time Remaining Useful Life (RUL) estimation. The system leverages state-of-the-art run-time dynamic partial reconfiguration technology and customized computing circuits to balance the hardware occupation and computing efficiency. Optimal hardware resource consumption is achieved by partitioning the RVM algorithm according to a multi-objective optimization. Moreover, pipelined and parallel computation circuits for kernel function and matrix inverse are proposed on FPGA to further accelerate the computation. Experimental results with two... [more]
Analytical Calculation of D- and Q-axis Inductance for Interior Permanent Magnet Motors Based on Winding Function Theory
Peixin Liang, Yulong Pei, Feng Chai, Kui Zhao
January 7, 2019 (v1)
Subject: Other
Keywords: armature reaction magnetic field, d- and q-axis inductances, interior permanent magnet motor, lumped parameter magnetic circuit model, nonlinearity, saturation, winding function theory
Interior permanent magnet (IPM) motors are widely used in electric vehicles (EVs), benefiting from the excellent advantages of a more rational use of energy. For further improvement of energy utilization, this paper presents an analytical method of d- and q-axis inductance calculation for IPM motors with V-shaped rotor in no-load condition. A lumped parameter magnetic circuit model (LPMCM) is adopted to investigate the saturation and nonlinearity of the bridge. Taking into account the influence of magnetic field distribution on inductance, the winding function theory (WFT) is employed to accurately calculate the armature reaction airgap magnetic field and d- and q-axis inductances. The validity of the analytical technique is verified by the finite element method (FEM).
A High-Precision Control for a ZVT PWM Soft-Switching Inverter to Eliminate the Dead-Time Effect
Baoquan Kou, Hailin Zhang, He Zhang
January 7, 2019 (v1)
Keywords: auxiliary resonant snubber inverter (ARSI), dead-time effect, high precision, soft-switching, Zero-voltage-transition (ZVT)
Attributing to the advantages of high efficiency, low electromagnetic interference (EMI) noise and closest to the pulse-width-modulation (PWM) converter counterpart, zero-voltage-transition (ZVT) PWM soft-switching inverters are very suitable for high-performance applications. However, the conventional control algorithms intended for high efficiency generally results in voltage distortion. Thus, this paper, for the first time, proposes a high-precision control method to eliminate the dead-time effect through controlling the auxiliary current in the auxiliary resonant snubber inverter (ARSI), which is a typical ZVT PWM inverter. The dead-time effect of ARSI is analyzed, which is distinguished from hard-switching inverters. The proposed high-precision control is introduced based on the investigation of dead-time effect. A prototype was developed to verify the effectiveness of the proposed control. The experimental results shows that the total harmonic distortion (THD) of the output curre... [more]
Study on the Criteria for the Determination of the Road Load Correlation for Automobiles and an Analysis of Key Factors
Charyung Kim, Hyunwoo Lee, Yongsung Park, Cha-Lee Myung, Simsoo Park
January 7, 2019 (v1)
Subject: Energy Policy
Keywords: coastdown test, design of experiment, energy discrepancy, evaluation criteria, fuel economy, road load
To determine the fuel economy and emissions of a vehicle using a chassis dynamometer, the load to which the vehicle is subjected when it actually runs on a road, or the road load specifications, must be simulated when the dynamometer is applied. The most commonly used method to measure road load specifications is coastdown testing. Currently, road load is measured and provided by the manufacturer of the vehicle. Verification of the accuracy of the manufacturer’s reported road load specifications by a third party may reveal that the specifications are inaccurate, possibly because of different testing locations, test drivers or test equipment. This study aims at identifying key factors that can affect a vehicle’s road load correlation by using experimental design and deriving criteria for determining the correlation based on the energy difference.
Energy Simulation of a Holographic PVT Concentrating System for Building Integration Applications
Julia Marín-Sáez, Daniel Chemisana, Álex Moreno, Alberto Riverola, Jesús Atencia, María-Victoria Collados
January 7, 2019 (v1)
Keywords: building integration, energy dynamic simulation, holographic optical elements (HOE), photovoltaics, PVT, solar concentration, solar energy
A building integrated holographic concentrating photovoltaic-thermal system has been optically and energetically simulated. The system has been designed to be superimposed into a solar shading louvre; in this way the concentrating unit takes profit of the solar altitude tracking, which the shading blinds already have, to increase system performance. A dynamic energy simulation has been conducted in two different locations—Sde Boker (Israel) and Avignon (France)—both with adequate annual irradiances for solar applications, but with different weather and energy demand characteristics. The simulation engine utilized has been TRNSYS, coupled with MATLAB (where the ray-tracing algorithm to simulate the holographic optical performance has been implemented). The concentrator achieves annual mean optical efficiencies of 30.3% for Sde Boker and 43.0% for the case of Avignon. Regarding the energy production, in both locations the thermal energy produced meets almost 100% of the domestic hot wate... [more]
A Review of Dangerous Dust in Fusion Reactors: from Its Creation to Its Resuspension in Case of LOCA and LOVA
Andrea Malizia, Luigi Antonio Poggi, Jean-François Ciparisse, Riccardo Rossi, Carlo Bellecci, Pasquale Gaudio
January 7, 2019 (v1)
Subject: Energy Policy
Keywords: dust, nuclear fusion, security
The choice of materials for the future nuclear fusion reactors is a crucial issue. In the fusion reactors, the combination of very high temperatures, high radiation levels, intense production of transmuting elements and high thermomechanical loads requires very high-performance materials. Erosion of PFCs (Plasma Facing Components) determines their lifetime and generates a source of impurities (i.e., in-vessel tritium and dust inventories), which cool down and dilute the plasma. The resuspension of dust could be a consequences of LOss of Coolant Accidents (LOCA) and LOss of Vacuum Accidents (LOVA) and it can be dangerous because of dust radioactivity, toxicity, and capable of causing an explosion. These characteristics can jeopardize the plant safety and pose a serious threat to the operators. The purpose of this work is to determine the experimental and numerical steeps to develop a numerical model to predict the dust resuspension consequences in case of accidents through a comparison... [more]
Artificial Neural Network Application for Partial Discharge Recognition: Survey and Future Directions
Abdullahi Abubakar Mas’ud, Ricardo Albarracín, Jorge Alfredo Ardila-Rey, Firdaus Muhammad-Sukki, Hazlee Azil Illias, Nurul Aini Bani, Abu Bakar Munir
January 7, 2019 (v1)
Keywords: Artificial Intelligence, artificial neural network (ANN), partial discharge (PD)
In order to investigate how artificial neural networks (ANNs) have been applied for partial discharge (PD) pattern recognition, this paper reviews recent progress made on ANN development for PD classification by a literature survey. Contributions from several authors have been presented and discussed. High recognition rate has been recorded for several PD faults, but there are still many factors that hinder correct recognition of PD by the ANN, such as high-amplitude noise or wide spectral content typical from industrial environments, trial and error approaches in determining an optimum ANN, multiple PD sources acting simultaneously, lack of comprehensive and up to date databank of PD faults, and the appropriate selection of the characteristics that allow a correct recognition of the type of source which are currently being addressed by researchers. Several suggestions for improvement are proposed by the authors include: (1) determining the optimum weights in training the ANN; (2) usin... [more]
Optimal Cooling Load Sharing Strategies for Different Types of Absorption Chillers in Trigeneration Plants
Benedetto Conte, Joan Carles Bruno, Alberto Coronas
January 7, 2019 (v1)
Keywords: absorption chillers, optimal operation, partial load, trigeneration
Trigeneration plants can use different types of chillers in the same plant, typically single effect and double effect absorption chillers, vapour compression chillers and also cooling storage systems. The highly variable cooling demand of the buildings connected to a district heating and cooling (DHC) network has to be distributed among these chillers to achieve lower operating costs and higher energy efficiencies. This problem is difficult to solve due to the different partial load behaviour of each chiller and the different chiller combinations that can cover a certain cooling demand using an appropriate sizing of the cooling storage. The objective of this paper is to optimize the daily plant operation of an existing trigeneration plant based on cogeneration engines and to study the optimal cooling load sharing between different types of absorption chillers using a mixed integer linear programming (MILP) model. Real data from a trigeneration plant connected to a DHC close to Barcelon... [more]
Analysis and Performance Improvement of WPT Systems in the Environment of Single Non-Ferromagnetic Metal Plates
Linlin Tan, Jiacheng Li, Chen Chen, Changxin Yan, Jinpeng Guo, Xueliang Huang
January 7, 2019 (v1)
Subject: Other
Keywords: ferrite cores, impedance model, metal, resonator, wireless power transfer
Wireless power transfer (WPT) is greatly affected when the transmission channel is surrounded by non-ferromagnetic metallic objects and the alternating magnetic field interacts with the metal conductor, which is more of an issue in wirelessly charged electric vehicle (EV) applications. This paper analyses the performances of a WPT system in an environment with a non-ferromagnetic metal plate. The impedance model of the WPT system in the metal environment is established. Moreover the variation law of a coil’s equivalent inductance and resistance is deduced when the coil is surrounded by the non-ferromagnetic metal plate. Meanwhile, simulations, theory and experiments all confirm that the model is correct. Finally, since the system performance of a wireless charging system is influenced by non-ferromagnetic metals, this paper puts forward a method to improve the performance, that is, to place ferrite cores between the receiving coil and a metal plate. Experiments are carried out to verif... [more]
Correction: Juan, A.A.; Mendez, C.A.; Faulin, J.; de Armas, J.; Grasman, S.E. Electric Vehicles in Logistics and Transportation: A Survey on Emerging Environmental, Strategic, and Operational Challenges. Energies 2016, 9, 86
Angel Alejandro Juan, Carlos Alberto Mendez, Javier Faulin, Jesica de Armas, Scott Erwin Grasman
January 7, 2019 (v1)
Subject: Energy Policy
The authors wish to make the following changes to the published paper [1].[...]
Numerical Investigation of Aerodynamic Performance and Loads of a Novel Dual Rotor Wind Turbine
Behnam Moghadassian, Aaron Rosenberg, Anupam Sharma
January 7, 2019 (v1)
Keywords: aerodynamic loads, atmospheric boundary layer, dual-rotor wind turbines, momentum entrainment
The objective of this paper is to numerically investigate the effects of the atmospheric boundary layer on the aerodynamic performance and loads of a novel dual-rotor wind turbine (DRWT). Large eddy simulations are carried out with the turbines operating in the atmospheric boundary layer (ABL) and in a uniform inflow. Two stability conditions corresponding to neutral and slightly stable atmospheres are investigated. The turbines are modeled using the actuator line method where the rotor blades are modeled as body forces. Comparisons are drawn between the DRWT and a comparable conventional single-rotor wind turbine (SRWT) to assess changes in aerodynamic efficiency and loads, as well as wake mixing and momentum and kinetic energy entrainment into the turbine wake layer. The results show that the DRWT improves isolated turbine aerodynamic performance by about 5%⁻6%. The DRWT also enhances turbulent axial momentum entrainment by about 3.3 %. The highest entrainment is observed in t... [more]
Multislot Simultaneous Spectrum Sensing and Energy Harvesting in Cognitive Radio
Xin Liu, Zhenyu Na, Min Jia, Xuemai Gu, Xiaotong Li
January 7, 2019 (v1)
Keywords: cognitive radio (CR), detection probability, energy harvesting, spectrum sensing, throughput
In cognitive radio (CR), the spectrum sensing of the primary user (PU) may consume some electrical power from the battery capacity of the secondary user (SU), resulting in a decrease in the transmission power of the SU. In this paper, a multislot simultaneous spectrum sensing and energy harvesting model is proposed, which uses the harvested radio frequency (RF) energy of the PU signal to supply the spectrum sensing. In the proposed model, the sensing duration is divided into multiple sensing slots consisting of one local-sensing subslot and one energy-harvesting subslot. If the PU is detected to be present in the local-sensing subslot, the SU will harvest RF energy of the PU signal in the energy-harvesting slot, otherwise, the SU will continue spectrum sensing. The global decision on the presence of the PU is obtained through combining local sensing results from all the sensing slots by adopting “Or-logic Rule”. A joint optimization problem of sensing time and time splitter factor is p... [more]
Broadband PLC for Clustered Advanced Metering Infrastructure (AMI) Architecture
Augustine Ikpehai, Bamidele Adebisi, Khaled M. Rabie
January 7, 2019 (v1)
Keywords: advanced metering infrastructure, broadband PLC, demand response, narrowband PLC, power line communications (PLC), smart grid, smart metering
Advanced metering infrastructure (AMI) subsystems monitor and control energy distribution through exchange of information between smart meters and utility networks. A key challenge is how to select a cost-effective communication system without compromising the performance of the applications. Current communication technologies were developed for conventional data networks with different requirements. It is therefore necessary to investigate how much of existing communication technologies can be retrofitted into the new energy infrastructure to cost-effectively deliver acceptable level of service. This paper investigates broadband power line communications (BPLC) as a backhaul solution in AMI. By applying the disparate traffic characteristics of selected AMI applications, the network performance is evaluated. This study also examines the communication network response to changes in application configurations in terms of packet sizes. In each case, the network is stress-tested and perfor... [more]
A Comparative Study of Multiple-Criteria Decision-Making Methods under Stochastic Inputs
Athanasios Kolios, Varvara Mytilinou, Estivaliz Lozano-Minguez, Konstantinos Salonitis
January 7, 2019 (v1)
Subject: Optimization
Keywords: analytical hierarchy process (AHP), elimination et choix traduisant la realité (ELECTRE), multi-criteria decision methods, preference ranking organization method for enrichment evaluation (PROMETHEE), stochastic inputs, support structures, technique for the order of preference by similarity to the ideal solution (TOPSIS), weighted product method (WPM), weighted sum method (WSM), wind turbine
This paper presents an application and extension of multiple-criteria decision-making (MCDM) methods to account for stochastic input variables. More in particular, a comparative study is carried out among well-known and widely-applied methods in MCDM, when applied to the reference problem of the selection of wind turbine support structures for a given deployment location. Along with data from industrial experts, six deterministic MCDM methods are studied, so as to determine the best alternative among the available options, assessed against selected criteria with a view toward assigning confidence levels to each option. Following an overview of the literature around MCDM problems, the best practice implementation of each method is presented aiming to assist stakeholders and decision-makers to support decisions in real-world applications, where many and often conflicting criteria are present within uncertain environments. The outcomes of this research highlight that more sophisticated me... [more]
A Review of Research on Large Scale Modern Vertical Axis Wind Turbines at Uppsala University
Senad Apelfröjd, Sandra Eriksson, Hans Bernhoff
January 7, 2019 (v1)
Keywords: permanent magnet synchronous generator (PMSG), vertical axis wind turbine (VAWT), wind power
This paper presents a review of over a decade of research on Vertical Axis Wind Turbines (VAWTs) conducted at Uppsala University. The paper presents, among others, an overview of the 200 kW VAWT located in Falkenberg, Sweden, as well as a description of the work done on the 12 kW prototype VAWT in Marsta, Sweden. Several key aspects have been tested and successfully demonstrated at our two experimental research sites. The effort of the VAWT research has been aimed at developing a robust large scale VAWT technology based on an electrical control system with a direct driven energy converter. This approach allows for a simplification where most or all of the control of the turbines can be managed by the electrical converter system, reducing investment cost and need for maintenance. The concept features an H-rotor that is omnidirectional in regards to wind direction, meaning that it can extract energy from all wind directions without the need for a yaw system. The turbine is connected to a... [more]
A WebGIS Decision Support System for Management of Abandoned Mines
Ranka Stanković, Nikola Vulović, Nikola Lilić, Ivan Obradović, Radule Tošović, Milica Pešić-Georgiadis
January 7, 2019 (v1)
Keywords: abandoned mines, geodatabase, mine reclamation, WebGIS
This paper presents the development of a WebGIS application aimed at providing safe and reliable data needed for reclamation of abandoned mines in national parks and other protected areas in Vojvodina in compliance with existing legal regulations. The geodatabase model for this application has been developed using UML and the CASE tool Microsoft Visio featuring an interface with ArcGIS. The WebGIS application was developed using GeoServer, an open source tool in the Java programming language, with integrated PostgreSQL DB and the possibility of generating and publishing WMS, WFS and KML services. The WebGIS application is publicly available, based on an appropriate central database, which for the first time encompasses all available data on abandoned mines in Vojvodina, and as such may serve as a model for similar databases on the territory of the Republic of Serbia.
EMD-Based Feature Extraction for Power Quality Disturbance Classification Using Moments
Misael Lopez-Ramirez, Luis Ledesma-Carrillo, Eduardo Cabal-Yepez, Carlos Rodriguez-Donate, Homero Miranda-Vidales, Arturo Garcia-Perez
January 7, 2019 (v1)
Keywords: artificial neural networks, empirical mode decomposition, kurtosis, power quality disturbances, Shannon entropy, skewness
In electric power systems, there are always power quality disturbances (PQDs). Usually, noise contamination interferes with their detection and classification. Common methods perform frequency or time-frequency analyses on the power distribution signal for detecting and classifying a limited number of PQDs with some difficulties at low signal-to-noise ratio (SNR). In this regard, recently proposed methodologies for PQD detection estimate several parameters and apply distinct signal processing techniques to improve the detection of PQD. In this work, a novel methodology that merges empirical mode decomposition (EMD), the moments of a random variable, and an artificial neural network (ANN) is proposed for detecting and classifying different PQD. The proposed method estimates skewness, kurtosis, and Shannon entropy from the EMD of one-phase voltage/current signal. Then, an ANN is in charge of classifying the input signal into one of nine different classes for PQD, receiving these paramete... [more]
Thermal Hydraulic Performance in a Solar Air Heater Channel with Multi V-Type Perforated Baffles
Anil Kumar, Man-Hoe Kim
January 7, 2019 (v1)
Keywords: friction factor, heat transfer enhancement, perforated baffle, solar air heater (SAH) channel, solar energy
This article presents heat transfer and fluid flow characteristics in a solar air heater (SAH) channel with multi V-type perforated baffles. The flow passage has an aspect ratio of 10. The relative baffle height, relative pitch, relative baffle hole position, flow attack angle, and baffle open area ratio are 0.6, 8.0, 0.42, 60°, and 12%, respectively. The Reynolds numbers considered in the study was in the range of 3000⁻10,000. The re-normalization group (RNG) k-ε turbulence model has been used for numerical analysis, and the optimum relative baffle width has been investigated considering relative baffle widths of 1.0⁻7.0.The numerical results are in good agreement with the experimental data for the range considered in the study. Multi V-type perforated baffles are shown to have better thermal performance as compared to other baffle shapes in a rectangular passage. The overall thermal hydraulic performance shows the maximum value at the relative baffle width of 5.0.
New Electro-Thermal Battery Pack Model of an Electric Vehicle
Muhammed Alhanouti, Martin Gießler, Thomas Blank, Frank Gauterin
January 7, 2019 (v1)
Keywords: battery circuit model, electric vehicle, new OCV model, synthesized battery model, temperature influence, thermal model
Since the evolution of the electric and hybrid vehicle, the analysis of batteries’ characteristics and influence on driving range has become essential. This fact advocates the necessity of accurate simulation modeling for batteries. Different models for the Li-ion battery cell are reviewed in this paper and a group of the highly dynamic models is selected for comparison. A new open circuit voltage (OCV) model is proposed. The new model can simulate the OCV curves of lithium iron magnesium phosphate (LiFeMgPO₄) battery type at different temperatures. It also considers both charging and discharging cases. The most remarkable features from different models, in addition to the proposed OCV model, are integrated in a single hybrid electrical model. A lumped thermal model is implemented to simulate the temperature development in the battery cell. The synthesized electro-thermal battery cell model is extended to model a battery pack of an actual electric vehicle. Experimental tests on the bat... [more]
Energy Management in Prosumer Communities: A Coordinated Approach
Rodrigo Verschae, Takekazu Kato, Takashi Matsuyama
January 7, 2019 (v1)
Keywords: cooperative distributed protocol, coordinated energy management, demand response, demand-side management, prosumer community, smart community
The introduction of uncontrollable renewable energy is having a positive impact on our health, the climate, and the economy, but it is also pushing the limits of the power system. The main reason for this is that, in any power system, the generation and consumption must match each other at all times. Thus, if we want to further introduce uncontrollable generation, we need a large ability to manage the demand. However, the ability to control the power consumption of existing demand management approaches is limited, and most of these approaches cannot contribute to the introduction of reneweables, because they do not consider distributed uncontrolled consumption and generation in the control. Furthermore, these methods do not allow users to exchange or jointly manage their power generation and consumption. In this context, we propose an augmented energy management model for prosumers (i.e., producer and consumer). This model considers controlled and uncontrolled generation and consumptio... [more]
Risk Assessment of Distribution Networks Considering the Charging-Discharging Behaviors of Electric Vehicles
Jun Yang, Wanmeng Hao, Lei Chen, Jiejun Chen, Jing Jin, Feng Wang
January 7, 2019 (v1)
Keywords: charging or discharging load, electric vehicles, probabilistic load flow, risk assessment, time-of-use price, vehicle to grid
Electric vehicles (EVs) have received wide attention due to their higher energy efficiency and lower emissions. However, the random charging and discharging behaviors of substantial numbers of EVs may lead to safety risk problems in a distribution network. Reasonable price incentives can guide EVs through orderly charging and discharging, and further provide a feasible solution to reduce the operational risk of the distribution network. Considering three typical electricity prices, EV charging/discharging load models are built. Then, a Probabilistic Load Flow (PLF) method using cumulants and Gram-Charlier series is proposed to obtain the power flow of the distribution network including massive numbers of EVs. In terms of the risk indexes of node voltage and line flow, the operational risk of the distribution network can be estimated in detail. From the simulations of an IEEE-33 bus system and an IEEE 69-bus system, the demonstrated results show that reasonable charging and discharging... [more]
Understanding the Contribution of Mining and Transportation to the Total Life Cycle Impacts of Coal Exported from the United States
Michele Mutchek, Gregory Cooney, Gavin Pickenpaugh, Joe Marriott, Timothy Skone
January 7, 2019 (v1)
Subject: Energy Policy
Keywords: Asian markets, climate change, coal exports, electricity, greenhouse gas emissions, impact assessment, Life Cycle Analysis, Powder River Basin, power generation
The construction of two marine bulk terminals in the Pacific Northwest region of the United States are currently under review and would open up additional thermal coal exports to Asia on the order of almost 100 million additional tonnes per year. The major exporters of coal to Asian markets include Indonesia and Australia. This life cycle analysis (LCA) seeks to understand the role of transportation and mining in the cradle-to-busbar environmental impacts of coal exports from the Powder River Basin (PRB) to Asian countries, when compared to the competitor countries. This LCA shows that: (1) the most significant greenhouse gas (GHG) impacts in the cradle-to-busbar life cycle of coal for power generation come from the combustion of coal in a power plant, even when 90% carbon capture is applied; (2) for non-GHG air impacts, power plant combustion impacts are less dominant and variations in upstream impacts (mining and transportation) are more important; and (3) when comparing impacts betw... [more]
Indirect Load Control for Energy Storage Systems Using Incentive Pricing under Time-of-Use Tariff
Mu-Gu Jeong, Seung-Il Moon, Pyeong-Ik Hwang
January 7, 2019 (v1)
Keywords: bilevel programming, demand-side management, energy storage system (ESS), indirect load control (ILC)
Indirect load control (ILC) is a method by which the customer determines load reduction of electricity by using a price signal. One of the ILCs is a time-of-use (TOU) tariff, which is the most commonly used time-varying retail pricing. Under the TOU tariff, the customer can reduce the energy cost through an energy storage system (ESS). However, because this tariff is fixed for several months, the ESS operation does not truly reflect the wholesale market price, which could widely fluctuate. To overcome this limitation, this paper proposes an incentive pricing method in which the load-serving entity (LSE) gives the incentive pricing signal to the customers with ESSs. Because the ESS charging schedule is determined by the customer through ILC, a bilevel optimization problem that includes the customer optimization problem is utilized to determine the incentive pricing signal. Further, the bilevel optimization problem is reformulated into a one-level problem to be solved by an interior poin... [more]
A Laboratory Study of the Effects of Interbeds on Hydraulic Fracture Propagation in Shale Formation
Zhiheng Zhao, Xiao Li, Yu Wang, Bo Zheng, Bo Zhang
January 7, 2019 (v1)
Subject: Other
Keywords: failure mechanism, fracture propagation, hydraulic fracturing, interbeds
To investigate how the characteristics of interbeds affect hydraulic fracture propagation in the continental shale formation, a series of 300 mm × 300 mm × 300 mm concrete blocks with varying interbeds, based on outcrop observation and core measurement of Chang 7-2 shale formation, were prepared to conduct the hydraulic fracturing experiments. The results reveal that the breakdown pressure increases with the rise of thickness and strength of interbeds under the same in-situ field stress and injection rate. In addition, for the model blocks with thick and high strength interbeds, the hydraulic fracture has difficulty crossing the interbeds and is prone to divert along the bedding faces, and the fracturing effectiveness is not good. However, for the model blocks with thin and low strength interbeds, more long branches are generated along the main fracture, which is beneficial to the formation of the fracture network. What is more, combining the macroscopic descriptions with microscopic o... [more]
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