Optimal Demand Response and Power Flow
Willett, Rebecca
Optimal Demand Response and Power Flow Steven Low Computing + Math Sciences Electrical Engineering #12;Outline Optimal demand response n With L. Chen, L. Jiang, N. Li Optimal power flow n With S. Bose;Optimal demand response Model Results n Uncorrelated demand: distributed alg n Correlated demand
Global Optimization of Optimal Power Flow
Grossmann, Ignacio E.
/03/2013 4 Power balance Power flows Physical limits Nonconvex constraints #12;8/26/2013 2 SDP Relaxation renewables into the grid e.g., Wind: Hard to forecast. Base load power plants cannot change their output problems. MultiPeriod OPF Formulation 12/03/2013 9 Power balance Power flows Physical limits Storage
MATPOWER's Extensible Optimal Power Flow Architecture
Tesfatsion, Leigh
1 MATPOWER's Extensible Optimal Power Flow Architecture Ray D. Zimmerman, Member, IEEE, Carlos E the optimal power flow (OPF) architecture implemented in MATPOWER, an opensource Mat lab power system simulation package. It utilizes an extensible architecture that allows the user to easily add new variables
Optimal Power Flow Based Demand Response Offer Price Optimization
Lavaei, Javad
Optimal Power Flow Based Demand Response Offer Price Optimization Zhen Qiu 1 Introductiontime energy balance. Demand response programs are offered by the utility companies to reduce the load response cost in exchange for load reduction. A considerable amount of papers have discussed the demand
Distributed Algorithms for Optimal Power Flow Problem
Lam, Albert Y S; Tse, David
20110101T23:59:59.000Z
Optimal power flow (OPF) is an important problem for power generation and it is in general nonconvex. With the employment of renewable energy, it will be desirable if OPF can be solved very efficiently so its solution can be used in real time. With some special network structure, e.g. trees, the problem has been shown to have a zero duality gap and the convex dual problem yields the optimal solution. In this paper, we propose a primal and a dual algorithm to coordinate the smaller subproblems decomposed from the convexified OPF. We can arrange the subproblems to be solved sequentially and cumulatively in a central node or solved in parallel in distributed nodes. We test the algorithms on IEEE radial distribution test feeders, some random treestructured networks, and the IEEE transmission system benchmarks. Simulation results show that the computation time can be improved dramatically with our algorithms over the centralized approach of solving the problem without decomposition, especially in treestructured...
A COMPUTATIONAL ANALYSIS OF THE OPTIMAL POWER FLOW PROBLEM
algorithms to handle this problem for the e  1 security constrained optimal power flow problem. We also.3. The MATPOWER package 4 2.4. Graph theoretic notions 4 3. Security constrained optimal power flow 5 3, such as the breakdown of a generator or a fault in some transmission line. The importance of being able to supply power
StabilityConstrained Optimal Power Flow and Its Application to Pricing Power System Stabilizers
Cañizares, Claudio A.
1 StabilityConstrained Optimal Power Flow and Its Application to Pricing Power System Stabilizers locational marginal prices. A power system stabilizer (PSS) is then introduced in the test system Terms Angle stability, power system oscillations, elec tricity markets, optimal power flow
An Optimal Power Flow (OPF) Method with Improved Power System Stability
Chen, Zhe
An Optimal Power Flow (OPF) Method with Improved Power System Stability Chi Su, Zhe Chen Department corresponding to certain critical oscillation modes. Power system stabilizer (PSS) and thyristor controlled an optimal power flow (OPF) method taking into account small signal stability as additional constraints
DC Optimal Power Flow: Uniqueness and Chee Wei Tan
Tan, Chee Wei
and are computationally fast for practical smart power grids. I. BACKGROUND The Optimal Power Flow (OPF) problem network. The DCOPF can be practically important in a smart grid, where there are renewables, e.g., solar implications on how algorithms can be designed to solve the OPF in a smart grid. Different from prior work
Thermal Unit Commitment Including Optimal AC Power Flow Constraints
Thermal Unit Commitment Including Optimal AC Power Flow Constraints Carlos Murillo{Sanchez Robert J algorithm for unit commitment that employs a Lagrange relaxation technique with a new augmentation. This framework allows the possibility of committing units that are required for the VArs that they can produce
Resistive Network Optimal Power Flow: Uniqueness and Algorithms
Tan, CW; Cai, DWH; Lou, X
20150101T23:59:59.000Z
The optimal power flow (OPF) problem minimizes the power loss in an electrical network by optimizing the voltage and power delivered at the network buses, and is a nonconvex problem that is generally hard to solve. By leveraging a recent development on the zero duality gap of OPF, we propose a secondorder cone programming convex relaxation of the resistive network OPF, and study the uniqueness of the optimal solution using differential topology, especially the PoincareHopf Index Theorem. We characterize the global uniqueness for different network topologies, e.g., line, radial, and mesh networks. This serves as a starting point to design distributed local algorithms with global behaviors that have low complexity, are computationally fast, and can run under synchronous and asynchronous settings in practical power grids.
Exact Convex Relaxation of Optimal Power Flow in Radial Networks
Gan, LW; Li, N; Topcu, U; Low, SH
20150101T23:59:59.000Z
The optimal power flow (OPF) problem determines a network operating point that minimizes a certain objective such as generation cost or power loss. It is nonconvex. We prove that a global optimum of OPF can be obtained by solving a secondorder cone program, under a mild condition after shrinking the OPF feasible set slightly, for radial power networks. The condition can be checked a priori, and holds for the IEEE 13, 34, 37, 123bus networks and two realworld networks.
Optimal Power Flow of Multiple Energy Carriers(Geidl and Andersson...
system planning The methods used in the paper are linear deterministic system without control signal, optimal power flow and economic dispatch The proposed method stabilized...
Bukhsh, Waqquas Ahmed
20140701T23:59:59.000Z
Optimization plays a central role in the control and operation of electricity power networks. In this thesis we focus on two very important optimization problems in power systems. The first is the optimal power flow ...
IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 15, NO. 2, MAY 2000 535 StabilityConstrained Optimal AbstractStability is an important constraint in power system operation. Often trial and error heuristics in the context of a 162bus system. Index TermsPower System, Transient Stability, Optimal Power Flow, Numerical
A Formal Model for Verifying the Impact of Stealthy Attacks on Optimal Power Flow in Power Grids
Wang, Yongge
 mal Power Flow; Formal Model 1. INTRODUCTION Power system control centers employ a numberA Formal Model for Verifying the Impact of Stealthy Attacks on Optimal Power Flow in Power Grids the integrity of OPF and undermine the economic and secure system operation. We present a formal verification
Edinburgh Research Explorer Local solutions of the optimal power flow problem
Millar, Andrew J.
law (KVL), which describes the flow of power in transmission lines, and is a nonlinear function of bus is to find a steady state operating point that minimizes the cost of electric power generation whileEdinburgh Research Explorer Local solutions of the optimal power flow problem Citation
1464 IEEE TRANSACTIONS ON SMART GRID, VOL. 4, NO. 3, SEPTEMBER 2013 Distributed Optimal Power Flow
Giannakis, Georgios
Distributed optimization, distribution feeders, microgrids, optimal power flow, semidefinite relaxation. I. INTRODUCTION MICROGRIDS are portions of a power distribution net work located downstream of the distribution substation) and energy storage devices [1]. A microgrid can operate in either gridconnected, islanded, or hybrid modes
Distributed MultiPeriod Optimal Power Flow for Demand Response in Microgrids
Yeoh, William
Distributed MultiPeriod Optimal Power Flow for Demand Response in Microgrids Paul Scott1 existing passive highcapacity distribution networks. #12;In this new regime, demand response (DR
Structureexploiting interior point methods for security constrained optimal power flow problems
Chiang, Naiyuan
20130701T23:59:59.000Z
The aim of this research is to demonstrate some more efficient approaches to solve the n1 security constrained optimal power flow (SCOPF) problems by using structureexploiting primaldual interior point methods ...
Cornell University Ithaca, NY 14853 Abstract Stability is an important constraint in power system1 A Transient Stability Constrained Optimal Power Flow Deqiang Gan (M) Robert J. Thomas (F) Ray D. The methodology involves a stability constrained Optimal Power Flow (OPF). The theoretical development
Optimal Power Flow: Closing the Loop over Corrupted Data
Johansson, Karl Henrik
application are the Supervisory Control and Data Acquisition (SCADA) systems. In power networks, the SCADA System. Modern SCADA/EMS systems collect large amounts of measurement data and, using a State Estimator attack. We denote the data corruption by a. cyber attacks on SCADA/EMS systems operating power net works
Optimal Power Flow Formulation in Market of Retail Wheeling Taiyou Yong, Student Member, IEEE distribution in the new retail wheeling market. Formation of optimal power flow (OPF) problem, in which wheeling. Retail wheeling will create an open market to encourage vigorous and fair competition in electric
Lavaei, Javad
1 Abstract The optimal power flow (OPF) problem is a critical problem for power generation flow on the line P: vector of active power generations Q: vector of reactive power generations L: loss/reactive power generation limits. Given the practical importance of the problem, a great many studies have been
Heaton, Thomas H.
A Simple Optimal Power Flow Model with Energy Storage K. Mani Chandy, Steven H. Low, Ufuk Topcu and Huan Xu Abstract The integration of renewable energy, such as wind power, into the electric grid OPF model with storage and study how storage allows optimization of power generation across multiple
Xu , Huan
A Simple Optimal Power Flow Model with Energy Storage K. Mani Chandy, Steven H. Low, Ufuk Topcu and Huan Xu Abstract The integration of renewable energy generation, such as wind power how storage allows optimization of power generation across multiple time periods. The model
Grothey, Andreas
is primarily due to Kirchhoff's voltage law (KVL), which describes the flow of power in transmission lines that minimizes the cost of electric power generation while satisfying operating constraints and meeting demandLocal Solutions of Optimal Power Flow Waqquas A. Bukhsh, Andreas Grothey, Ken McKinnon, and Paul
Largescale optimal power flow: Effects of initialization, decoupling and discretization
Papalexopoulos, A.D.; Imparato, C.F.; Wu, F.F.
19890801T23:59:59.000Z
The optimal power flow has entered a new era since the introduction of secondorder methods. These methods have renewed hopes for its online application in Energy Management Systems. This paper reports on some of the results of tests of a secondorder OPF method. The testing was conducted using a 1500 bus network, under a variety of loading conditions. Three issues were studied: Sensitivity of OPF solutions with respect to the starting points used in the solution; Accuracy of the active/reactive decoupled approach to OPF solution; Effects of discretization of transformer taps on the OPF solutions.
Optimal power flow in microgrids using eventtriggered optimization Pu Wan and Michael D. Lemmon
Lemmon, Michael
be accomplished through small micro turbines and gas/diesel generators. Storage devices such as battery banks Abstract Microgrids are power generation and distribution systems in which users and generators are in close proximity. They usually have limited power generation capacity, and are networked together to meet
algorithms to handle this problem for the e  1 security constrained optimal power flow problem. We also.3. The MATPOWER package 4 2.4. Graph theoretic notions 4 3. Security constrained optimal power flow 5 3, such as the breakdown of a generator or a fault in some transmission line. The importance of being able to supply power
Outage Detection in Power Distribution Networks with OptimallyDeployed Power Flow Sensors
Zhao, Yue
distribution networks. As society becomes more dependent on electric power, the economic and societal costs due sensor at the substation [2]. In networks This research was supported in part by the DTRA under Grant a single digital transient recording device at the substation, fault location and diagnosis systems have
Low, Steven H.
grid. Grid integrated energy storage combined with fastramping conventional generation can help power flow (OPF) framework to study the dispatch and placement of energy storage units in a power system is the use of largescale gridintegrated energy storage. The role of energy storage in power systems has
Chance Constrained Optimal Power Flow: RiskAware Network Control under Uncertainty
Bienstock, Daniel; Harnett, Sean
20120101T23:59:59.000Z
When uncontrollable resources fluctuate, Optimum Power Flow (OPF), routinely used by the electric power industry to redispatch hourly controllable generation (coal, gas and hydro plants) over control areas of transmission networks, can result in grid instability, and, potentially, cascading outages. This risk arises because OPF dispatch is computed without awareness of major uncertainty, in particular fluctuations in renewable output. As a result, grid operation under OPF with renewable variability can lead to frequent conditions where power line flow ratings are significantly exceeded. Such a condition, which is borne by simulations of real grids, would likely resulting in automatic line tripping to protect lines from thermal stress, a risky and undesirable outcome which compromises stability. Smart grid goals include a commitment to large penetration of highly fluctuating renewables, thus calling to reconsider current practices, in particular the use of standard OPF. Our Chance Constrained (CC) OPF correct...
BiogeographyBased Optimization and the Solution of the Power Flow Problem
Simon, Dan
engineer Jules Carpentier [7]. A power utility may own power generating plants fueled by coal, natural gas kilowatthour of these plants will vary depending on the type of plant. Also, the demand for power. It is important to adjust the power output levels among the various generating plants in the system at any given
Optimal power flow application issues in the Pool paradigm George Grossa,*, Ettore Bompardb
Gross, George
a Department of Electrical and Computer Engineering, University of Illinois at UrbanaChampaign, Power ramifications. These factors have wide ranging economic impacts, whose implications are very pronounced due consideration of some system performance measures into the steady state analysis of the power system. The basic
Congestion Management in Restructured Power Systems Using an Optimal
Congestion Management in Restructured Power Systems Using an Optimal Power Flow Framework Masters Center Congestion Management in Restructured Power Systems Using an Optimal Power Flow Framework Masters paradigm shifts in the realtime control activities of the power grids. Managing dispatch is one
Cho, KT; Albertus, P; Battaglia, V; Kojic, A; Srinivasan, V; Weber, AZ
20131007T23:59:59.000Z
For storage of gridscale electrical energy, redoxflow batteries (RFBs) are considered promising technologies. This paper explores the influence of electrolyte composition and ion transport on cell performance by using an integrated approach of experiments and cost modeling. In particular, the impact of the areaspecific resistance on system capability is elucidated for the hydrogen/bromine RFB. The experimental data demonstrate very good performance with 1.46 W cm(2) peak power and 4 A cm(2) limiting current density at ambient conditions for an optimal cell design and reactant concentrations. The data and cost model results show that higher concentrations of RFB reactants do not necessarily result in lower capital cost as there is a tradeoff between cell performance and storage (tank) requirements. In addition, the discharge time and overall efficiency demonstrate nonlinear effects on system cost, with a 3 to 4 hour minimum discharge time showing a key transition to a plateau in terms of cost for typical RFB systems. The presented results are applicable to many different RFB chemistries and technologies and highlight the importance of ohmic effects and associated areaspecific resistance on RFB viability.
Optimization of Reactive Power based on NewtonRaphson algorithm
Lavaei, Javad
based on your specific power flow system model. 1. Impact of Reactive Power Fig.1 simplified distribution and flow. Reactive power optimization focuses on mathematical models and optimization algorithms the active power loss minimum objective function as a mathematical model, constrains of mathematical model
The Application of Robust Optimization in Power Systems
unit commitment and robust corrective topology control. The optimal power flow models used within partThe Application of Robust Optimization in Power Systems Final Project Report Power Systems Application of Robust Optimization in Power Systems Final Project Report Dr. Kory W. Hedman, Project Leader
Optimization Online  Stochastic Optimization for Power System ...
Ludwig Kuznia
20110217T23:59:59.000Z
Feb 17, 2011 ... Stochastic Optimization for Power System Configuration with Renewable Energy in Remote Areas. Ludwig Kuznia(lkuznia ***at*** mail.usf.edu)
Structural power flow measurement
Falter, K.J.; Keltie, R.F.
19881201T23:59:59.000Z
Previous investigations of structural power flow through beamlike structures resulted in some unexplained anomalies in the calculated data. In order to develop structural power flow measurement as a viable technique for machine tool design, the causes of these anomalies needed to be found. Once found, techniques for eliminating the errors could be developed. Error sources were found in the experimental apparatus itself as well as in the instrumentation. Although flexural waves are the carriers of power in the experimental apparatus, at some frequencies longitudinal waves were excited which were picked up by the accelerometers and altered power measurements. Errors were found in the phase and gain response of the sensors and amplifiers used for measurement. A transfer function correction technique was employed to compensate for these instrumentation errors.
2554 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 28, NO. 3, AUGUST 2013 Branch Flow Model: Relaxations
Low, Steven H.
2554 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 28, NO. 3, AUGUST 2013 Branch Flow Model: RelaxationsConvex relaxation, load flow control, optimal power flow, phase control, power system management. I. INTRODUCTION A and operation of power systems. One of the motivations for our work is the optimal power flow (OPF) problem. OPF
POWER FLOW ANALYSIS OF ELECTROSTRICTIVE ACTUATORS DRIVEN BYSWITCHMODE AMPLIFIERS
Lindner, Douglas K.
is developed with includes a dynamic structural model of the actuator, a dynamic model of the power electronics. It is shown that an outer acoustic control loop can modify this mechanical admittance and optimize the power, the power flow between the electrical and mechanical systems is analyzed through simulation. The flow
Optimization and Control of Electric Power Systems
Lesieutre, Bernard C.; Molzahn, Daniel K.
20141017T23:59:59.000Z
The analysis and optimization needs for planning and operation of the electric power system are challenging due to the scale and the form of model representations. The connected network spans the continent and the mathematical models are inherently nonlinear. Traditionally, computational limits have necessitated the use of very simplified models for grid analysis, and this has resulted in either less secure operation, or less efficient operation, or both. The research conducted in this project advances techniques for power system optimization problems that will enhance reliable and efficient operation. The results of this work appear in numerous publications and address different application problems include optimal power flow (OPF), unit commitment, demand response, reliability margins, planning, transmission expansion, as well as general tools and algorithms.
Chandy, K. Mani
and Huan Xu Abstract The integration of renewable energy, such as wind power, into the electric grid time periods. The model is motivated by the intensifying trend to deploy renewable energy such as wind from wind projects in the Tehachapi area in California [9]. Not only is renewable energy more
None
20120208T23:59:59.000Z
GENI Project: MSU is developing a power flow controller to improve the routing of electricity from renewable sources through existing power lines. The fast, innovative, and lightweight circuitry that MSU is incorporating into its controller will eliminate the need for a separate heavy and expensive transformer, as well as the construction of new transmission lines. MSU’s controller is better suited to control power flows from distributed and intermittent wind and solar power systems than traditional transformerbased controllers are, so it will help to integrate more renewable energy into the grid. MSU‘s power flow controller can be installed anywhere in the existing grid to optimize energy transmission and help reduce transmission congestion.
Sandia National Laboratories: power flow control system
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
power flow control system ECISPrinceton Power Systems, Inc.: Demand Response Inverter On March 19, 2013, in DETL, Distribution Grid Integration, Energy, Energy Surety, Facilities,...
Broader source: Energy.gov [DOE]
This simple spreadsheet model estimates either the flow rate required to produce a specified level of power output, or the power output that can be produced from a specified flow rate.
Optimal Power Dispatch via Multistage Stochastic Programming
RÃ¶misch, Werner
Mathematical models for costoptimal power scheduling in hydrothermal systems often combine several di culties for the dis patch of electric power in a hydrothermal generation system over a certain time horizon. The shortterm costoptimal dispatch of electric power in a generation sys tem under uncertain electricity
Network Flow Optimization under Uncertainty
Tesfatsion, Leigh
, production, generation, transportation, trade, storage injections and withdrawals of coal, gas?) xij is flow along arc (i, j), from node i to node j cij is cost per unit of flow along (i, j Network model in words Minimize the cost of satisfying demands for electric energy By: imports, exports
IEEE TRANSACTIONS ON POWER SYSTEMS 1 Application of a Stabilityconstrained Optimal
Cañizares, Claudio A.
IEEE TRANSACTIONS ON POWER SYSTEMS 1 Application of a Stabilityconstrained Optimal Power Flow and described. The application of this technique to the optimal tuning of both Power System Stabilizers (PSS) and Thyristor Controlled Series Compensators (TCSC) to damp power system oscillations within the context
PowerAware Scheduling for Makespan and Flow David P. Bunde
Bunde, David
PowerAware Scheduling for Makespan and Flow David P. Bunde Department of Computer Science Knox different amounts of work. For total flow, we show that the optimal flow corresponding to a particular in computer systems. This is most obvious for batterypowered systems such as laptops because processor power
Cañizares, Claudio A.
Proc. IEEE PowerTech, Bucharest, June 2009. 1 AbstractPower flow studies are typically used on the use of optimization techniques and worstcase scenario analysis. The application of these techniques assessment), thus allowing to evaluate the level of confidence of power flow studies. These algorithms should
Control and Optimization Meet the Smart Power Grid: Scheduling of Power Demands for Optimal Energy
Koutsopoulos, Iordanis
Control and Optimization Meet the Smart Power Grid: Scheduling of Power Demands for Optimal Energy and Technology Hellas (CERTH), Greece ABSTRACT The smart power grid uses information and communica tion Terms Smart Grid, Demand Response, Demand Load Control, Scheduling 1. INTRODUCTION The smart power grid
Power network analysis and optimization
Zhang, Wanping
20090101T23:59:59.000Z
and J. N. Kozhaya, “Fast power grid simulation,” in Proc.C. Chen, “Efficient largescale power grid analysis based onare connected between power grid nodes and the ground. Time
Optimal operation of largescale power systems
Lee, K.Y.; Ortiz, J.L.; Mohtadi, M.A.; Park, Y.M.
19880501T23:59:59.000Z
This paper presents a method for an optimal operation of largescale power systems similar to the one utilized by the Houston Lighting and Power Company. The main objective is to minimize the system fuel costs, and maintain an acceptable system performance in terms of limits on generator real and reactive power outputs, transformer tap settings, and bus voltage levels. Minimizing the fuel costs of such largescale systems enhances the performance of optimal real power generator allocation and of optimal power flow that results in an economic dispatch. The gradient projection method (GPM) is utilized in solving the optimization problems. It is an iterative numerical procedure for finding an extremum of a function of several variables that are required to satisfy various constraining relations without using penalty functions or Lagrange multipliers among other advantages. Mathematical models are developed to represent the sensitivity relationships between dependent and control variables for both real and reactivepower optimization procedures; and thus eliminate the use of Bcoefficients. Data provided by the Houston lighting and Power Company are used to demonstrate the effectiveness of the proposed procedures.
Optimal Power Management in Wireless Control Systems
Plotkin, Joshua B.
Optimal Power Management in Wireless Control Systems Konstantinos Gatsis, Student Member, IEEE to the controller over a wireless fading channel. The power allocated to these transmissions determines state. The goal is to design plant input and transmit power policies that minimize an infinite horizon
Liu, G.; Liu, M.
20060101T23:59:59.000Z
the optimized system operating point. It can also measure the water flow rate and monitor energy consumption continuously with low installation and almost no maintenance cost. The results show that the new technology can save pump power and increase pump...
Artificial Neural Network for Optimized Power System Management
OLeary, Daniel Albert
20150101T23:59:59.000Z
vii Abstract Artificial Neural Network for Optimized PowerAn Artificial Neural Network (ANN). Data is input to theSANTA CRUZ ARTIFICIAL NEURAL NETWORK FOR OPTIMIZED POWER
Electric Power System Asset Optimization
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by Email Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville Power AdministrationHawaii Electricity Profile 2013callYearAdministration Electric Power
Some optimization problems in power system reliability analysis
Jirutitijaroen, Panida
20090515T23:59:59.000Z
This dissertation aims to address two optimization problems involving power system reliabilty analysis, namely multiarea power system adequacy planning and transformer maintenance optimization. A new simulation method for power system reliability...
Optimal Power Allocation for Renewable Energy Source
Sinha, Abhinav
20110101T23:59:59.000Z
Battery powered transmitters face energy constraint, replenishing their energy by a renewable energy source (like solar or wind power) can lead to longer lifetime. We consider here the problem of finding the optimal power allocation under random channel conditions for a wireless transmitter, such that rate of information transfer is maximized. Here a rechargeable battery, which is periodically charged by renewable source, is used to power the transmitter. All of above is formulated as a Markov Decision Process. Structural properties like the monotonicity of the optimal value and policy derived in this paper will be of vital importance in understanding the kind of algorithms and approximations needed in reallife scenarios. The effect of curse of dimensionality which is prevalent in Dynamic programming problems can thus be reduced. We show our results under the most general of assumptions.
Optimized NaturalLaminarFlow Airfoils and D. W. Zingg
Zingg, David W.
Optimized NaturalLaminarFlow Airfoils J. Driver and D. W. Zingg University of Toronto InstituteKrylov aerodynamic shape optimization algorithm has been modified to incorporate the prediction of laminar naturallaminarflow airfoils. In particular, the optimization algorithm is able to design an airfoil
Magnetic Amplifier for Power Flow Control
None
20120224T23:59:59.000Z
GENI Project: ORNL is developing an electromagnetbased, amplifierlike device that will allow for complete control over the flow of power within the electric grid. To date, complete control of power flow within the grid has been prohibitively expensive. ORNL’s controller could provide a reliable, costeffective solution to this problem. The team is combining two types of preexisting technologies to assist in flow control, culminating in a prototype ironbased magnetic amplifier. Ordinarily, such a device would require expensive superconductive wire, but the magnetic iron core of ORNL’s device could serve as a lowcost alternative that is equally adept at regulating power flow.
Strategies in tower solar power plant optimization
Ramos, A
20120101T23:59:59.000Z
A method for optimizing a central receiver solar thermal electric power plant is studied. We parametrize the plant design as a function of eleven design variables and reduce the problem of finding optimal designs to the numerical problem of finding the minimum of a function of several variables. This minimization problem is attacked with different algorithms both local and global in nature. We find that all algorithms find the same minimum of the objective function. The performance of each of the algorithms and the resulting designs are studied for two typical cases. We describe a method to evaluate the impact of design variables in the plant performance. This method will tell us what variables are key to the optimal plant design and which ones are less important. This information can be used to further improve the plant design and to accelerate the optimization procedure.
Apollo: Adaptive power optimization and Control for the land Warrior
Pedram, Massoud
and N. Jha Outline Part I: Dynamic Power Management and PowerPart I: Dynamic Power Management and Power be achieved thru dynamic power management (DPM)dynamic power management (DPM) and powerand power Library Poweraware Architecture Optimizer OSDirected Power / QoS Management Land Warrior System Spec
A three phase load flow algorithm for Shipboard Power Systems
MedinaCalder?on, M?onica M
20030101T23:59:59.000Z
Load Flow (Power Flow) is the determination of the steady state operating conditions for the system. This is a very important tool utilized by many real time applications in power systems. Traditional load flow methods, which incorporate Gauss...
Optimization of advanced telecommunication algorithms from power and performance perspective
Khan, Zahid
20111122T23:59:59.000Z
This thesis investigates optimization of advanced telecommunication algorithms from power and performance perspectives. The algorithms chosen are MIMO and LDPC. MIMO is implemented in custom ASIC for power optimization ...
Optimal combined wind power forecasts using exogeneous variables
Optimal combined wind power forecasts using exogeneous variables Fannar ¨Orn Thordarson Kongens of the thesis is combined wind power forecasts using informations from meteorological forecasts. Lyngby, January
Robin, A.M.; Kassman, J.S.; Leininger, T.F.; Wolfenbarger, J.K.; Wu, C.M.; Yang, P.P.
19910901T23:59:59.000Z
This second Topical Report describes the work that was completed between January 1, 1989 and December 31, 1990 in a Cooperative Agreement between Texaco and the US Department of Energy that began on September 30, 1987. During the period that is covered in this report, the development and optimization of insitu and external desulfurization processes were pursued. The research effort included bench scale testing, PDU scoping tests, process economic studies and advanced instrument testing. Two bench scale studies were performed at the Research Triangle Institute with zinc titanate sorbent to obtain data on its cycle life, sulfur capacity, durability and the effect of chlorides. These studies quantify sulfur capture during simulated air and oxygenblown gasification for two zinc titanate formulations. Eight PDU runs for a total of 20 days of operation were conducted to evaluate the performance of candidate sorbents for both insitu and external desulfurization. A total of 47 tests were completed with oxygen and airblown gasification. Candidate sorbents included iron oxide for insitu desulfurization and calcium based and mixed metal oxides for external desulfurization. Gasifier performance and sorbent sulfur capture are compared for both airblown and oxygenblown operation.
Solving convex problems involving powers using conic optimization
Glineur, FranÃ§ois
Solving convex problems involving powers using conic optimization and a new selfconcordant barrier CFG 07 Heidelberg University CFG 07 Solving convex problems involving powers using conic optimization remarks Future plans CFG 07 Solving convex problems involving powers using conic optimization 2 #12
Flow reversal power limit for the HFBR
Cheng, L.Y.; Tichler, P.R.
19970101T23:59:59.000Z
The High Flux Beam Reactor (HFBR) is a pressurized heavy water moderated and cooled research reactor that began operation at 40 MW. The reactor was subsequently upgraded to 60 MW and operated at that level for several years. The reactor undergoes a buoyancydriven reversal of flow in the reactor core following certain postulated accidents. Questions which were raised about the afterheat removal capability during the flow reversal transition led to a reactor shutdown and subsequent resumption of operation at a reduced power of 30 MW. An experimental and analytical program to address these questions is described in this report. The experiments were single channel flow reversal tests under a range of conditions. The analytical phase involved simulations of the tests to benchmark the physical models and development of a criterion for dryout. The criterion is then used in simulations of reactor accidents to determine a safe operating power level. It is concluded that the limit on the HFBR operating power with respect to the issue of flow reversal is in excess of 60 MW. Direct use of the experimental results and an understanding of the governing phenomenology supports this conclusion.
Soft Sensing and Optimal Power Control for Cognitive Radio
Jafar, Syed A.
1 Soft Sensing and Optimal Power Control for Cognitive Radio Sudhir Srinivasa and Syed Ali Jafar being present increases. We find that that power control that maximizes the SNR is binary, i transmit power constraint at the secondary radio, both the SNR and capacity optimal power control schemes
Largescale optimal power flow
Papalexopoulos, A.D.; Imparato, C.F.; Wu, F.F.
19890501T23:59:59.000Z
Extensive numerical testing of a secondorder OPF solution method was conducted using a 1500 bus network under various loading conditions. The results show that (i) properly implemented secondorder OPF solution methods are robust with respect to different starting points, (ii) the decoupled OPF solution is expected to be close to the full OPF solution, and (iii) the effects of discretization of load tap changing (LTC) transformer taps are very small and usually negligible.
Strong SOCP Relaxations for Optimal Power Flow
Burak Kocuk
20150424T23:59:59.000Z
Apr 24, 2015 ... ... all this computed within 157.20 seconds on a modest personal computer. Overall, the proposed strong SOCP relaxations provide a practical ...
Transaction Based Power Flow Analysis For Transmission Utilization Allocation
purchasesale pairs to replace the role of a single slack bus on energy imbalance during power flowTransaction Based Power Flow Analysis For Transmission Utilization Allocation Garng Huang, Senior power flow analysis (TBPF) for transmission utilization allocation. The TBPF utilizes distributed
Optimal Endogenous Carbon Taxes Electric Power Supply Chains with Power Plants
Nagurney, Anna
Optimal Endogenous Carbon Taxes for Electric Power Supply Chains with Power Plants Anna Nagurney for the determination of optimal carbon taxes applied to electric power plants in the con text of electric power supply portion of such policy inter ventions directed at the electric power industry. The general framework
Power and Delay Optimization in MultiHop Wireless Networks
Shihada, Basem
In this paper, we study the optimization problem of transmission power and delay in a multihop wireless network of transmission power and queueing delay in wireless networks has1 Power and Delay Optimization in MultiHop Wireless Networks Li Xia, Basem Shihada Abstract
Multiobjective optimization of solar tower power plants
Ábrahám, Erika
Multiobjective optimization of solar tower power plants Pascal Richter Center for Computational · Optimization of solar tower power plants 1/20 #12;Introduction Solar tower power plants Solar tower PS10 (11 MW) in Andalusia, Spain · Solar tower with receiver · Heliostat field with selfaligning mirrors
Distributed Power Flow Control: Distributed Power Flow Control using Smart Wires for Energy Routing
None
20120424T23:59:59.000Z
GENI Project: Smart Wire Grid is developing a solution for controlling power flow within the electric grid to better manage unused and overall transmission capacity. The 300,000 miles of highvoltage transmission line in the U.S. today are congested and inefficient, with only around 50% of all transmission capacity utilized at any given time. Increased consumer demand should be met in part with more efficient and an economical power flow. Smart Wire Grid’s devices clamp onto existing transmission lines and control the flow of power within—much like how internet routers help allocate bandwidth throughout the web. Smart wires could support greater use of renewable energy by providing more consistent control over how that energy is routed within the grid on a realtime basis. This would lessen the concerns surrounding the grid’s inability to effectively store intermittent energy from renewables for later use.
Optimal Manufacturing Flow Controllers: ZeroInventory Policies
Veatch, Michael H.
Optimal Manufacturing Flow Controllers: ZeroInventory Policies and Control Switching Sets Michael, (978) 9272300, FAX (978) 5243747, veatch@gordonc.edu Department of Manufacturing Engineering, Boston Kimemia and Gershwin [12] proposed a flow control model of a flexible manufacturing system that has been
Free Flow Power Corporation  Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by Email Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a g eWorksVillagesourceEuromoneyForest City Military Communities,Forward PhaseFreEnergFlow Power
A Unified Approach to Runtime Performance and Power Optimization...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
A Unified Approach to Runtime Performance and Power Optimization in Adaptive Processors using Support Vector Regression Event Sponsor: Mathematics and Computing Science Seminar...
TwoStage Robust Power Grid Optimization Problem
Ruiwei Jiang
20101021T23:59:59.000Z
Oct 21, 2010 ... ... the integration of renewable energy generation, both the supply and ... programming model to address the power grid optimization problem ...
Optimization of Multiple Receivers Solar Power Tower systems
Emilio Carrizosa
20150326T23:59:59.000Z
Mar 26, 2015 ... Abstract: In this article a new procedure to optimize the design of a Multiple Receivers Solar Power Tower system is presented. The proposed ...
Optimization Online  Reactive Power Management using Firefly and ...
Ripunjoy Phukan
20131004T23:59:59.000Z
Oct 4, 2013 ... Reactive Power Management using Firefly and Spiral Optimization under Static and Dynamic Loading Conditions. Ripunjoy Phukan (ripun000 ...
: Joint Optimization of Charger Placement and Power Allocation for Wireless Power Transfer
Wu, Jie
P3 : Joint Optimization of Charger Placement and Power Allocation for Wireless Power Transfer Sheng, the energyhungry batterypowered devices. It enables energy to be wirelessly transmitted from power chargers is to optimize charging quality in a 2D target area. Specifically, we consider the following charger Placement
Optimization of Multiple Receivers Solar Power Tower systems
20150408T23:59:59.000Z
Apr 8, 2015 ... Solar Power Tower (SPT) systems are known as one of the most promising ...... An appropriate control is required to adapt the mass flow in the ...
Power Optimization and Management in Embedded Systems1 Massoud Pedram
Pedram, Massoud
1 Power Optimization and Management in Embedded Systems1 Massoud Pedram University of Southern on the system performance and quality of service (QoS). Poweraware highlevel language compilers, dynamic power for understanding power aware design methodologies and techniques targeted toward embedded systems. 1 Introduction
Optimal Maintenance Scheduling of a Gas Engine Power Plant
Grossmann, Ignacio E.
1 Optimal Maintenance Scheduling of a Gas Engine Power Plant using Generalized Disjunctive This article presents a new continuoustime model for longterm scheduling of a gas engine power plant was performed by the system operator and imposed to power plants18 . However, many concepts of the power systems
Human Factors Aspects of Power System Flow Animation
is to present the results of human factors experiments looking at the power system flow animation. IIHuman Factors Aspects of Power System Flow Animation Douglas A. Wiegmann, Gavin R. Essenberg experimental results associated with human factors aspects of using animation to display electric power system
Increased Power Generation in a Continuous Flow MFC with
Increased Power Generation in a Continuous Flow MFC with Advective Flow through the Porous Anode, The Pennsylvania State University, University Park, Pennsylvania 16802 The maximum power generated in a single without affecting power generation (16). Pt can be replaced by less expensive alternatives such as Co
Optimized boundary driven flows for dynamos in a sphere
Khalzov, I. V.; Brown, B. P.; Cooper, C. M.; Weisberg, D. B.; Forest, C. B. [Center for Magnetic Self Organization in Laboratory and Astrophysical Plasmas, University of WisconsinMadison, 1150 University Avenue, Madison, Wisconsin 53706 (United States)
20121115T23:59:59.000Z
We perform numerical optimization of the axisymmetric flows in a sphere to minimize the critical magnetic Reynolds number Rm{sub cr} required for dynamo onset. The optimization is done for the class of laminar incompressible flows of von Karman type satisfying the steadystate NavierStokes equation. Such flows are determined by equatorially antisymmetric profiles of driving azimuthal (toroidal) velocity specified at the spherical boundary. The model is relevant to the Madison plasma dynamo experiment, whose spherical boundary is capable of differential driving of plasma in the azimuthal direction. We show that the dynamo onset in this system depends strongly on details of the driving velocity profile and the fluid Reynolds number Re. It is found that the overall lowest Rm{sub cr} AlmostEqualTo 200 is achieved at Re AlmostEqualTo 240 for the flow, which is hydrodynamically marginally stable. We also show that the optimized flows can sustain dynamos only in the range Rm{sub cr}
Optimality and Conductivity for Water Flow: From Landscapes, to Unsaturated Soils, to Plant Leaves
Liu, H.H.
20120223T23:59:59.000Z
Optimality principles have been widely used in many areas. Based on an optimality principle that any flow field will tend toward a minimum in the energy dissipation rate, this work shows that there exists a unified form of conductivity relationship for three different flow systems: landscapes, unsaturated soils and plant leaves. The conductivity, the ratio of water flux to energy gradient, is a power function of water flux although the power value is system dependent. This relationship indicates that to minimize energy dissipation rate for a whole system, water flow has a small resistance (or a large conductivity) at a location of large water flux. Empirical evidence supports validity of the relationship for landscape and unsaturated soils (under gravity dominated conditions). Numerical simulation results also show that the relationship can capture the key features of hydraulic structure for a plant leaf, although more studies are needed to further confirm its validity. Especially, it is of interest that according to this relationship, hydraulic conductivity for gravitydominated unsaturated flow, unlike that defined in the classic theories, depends on not only capillary pressure (or saturation), but also the water flux. Use of the optimality principle allows for determining useful results that are applicable to a broad range of areas involving highly nonlinear processes and may not be possible to obtain from classic theories describing water flow processes.
DYNAMIC EMBEDDED OPTIMIZATION AND SHOOTING METHODS FOR POWER
state variables. The dynamic model is embedded within the constraints. Power systems form an important for Deregulated Electric Power Systems: Optimization, Control, and Computational Intelligence, J. Chow, F. Wu consequences in the latter case [1]. Even the tuning of traditional controllers such as power system sta
Power Conversion Efficiency Characterization and Optimization for Smartphones
Pedram, Massoud
Power Conversion Efficiency Characterization and Optimization for Smartphones Woojoo Lee Yanzhi charging operations even with a 2000 mAh battery. This is in spite of many power manage ment techniques waste a significant amount of the battery's stored energy during power con version from the 3.7V output
Optimal Energy Storage Control Policies for the Smart Power Grid
Koutsopoulos, Iordanis
Optimal Energy Storage Control Policies for the Smart Power Grid Iordanis Koutsopoulos Vassiliki are prime candidates for demand load management in the smart power grid. In this work, we address. INTRODUCTION The smart power grid will rely on information and commu nication technologies and advanced
Optimal Scheduling of Industrial Combined Heat and Power Plants
Grossmann, Ignacio E.
Optimal Scheduling of Industrial Combined Heat and Power Plants under Timesensitive Electricity and power to energyintensive processes, e.g. pulp and paper mills, alu minum plants, refineries and other Prices Sumit Mitra , Lige Sun , Ignacio E. Grossmann December 24, 2012 Abstract Combined heat and power
Optimal Maintenance Scheduling of a Power Plant with Seasonal
Grossmann, Ignacio E.
Optimal Maintenance Scheduling of a Power Plant with Seasonal Electricity Tariffs Pedro M. Castro hours for periods with high electricity tariff Sasolburg Gas Engine Power Plant 18 Wärtsila 34 SG statement · Gas engine power plant 18 identical engines with generation capacity = 10 MW Only 1
Power Control and Utility Optimization in Wireless Communication Systems
Chronopoulos, Anthony T.
Power Control and Utility Optimization in Wireless Communication Systems Dimitrie C. Popescu@cs.utsa.edu Abstract In this paper we present an analysis of power control algorithms established over the past with power control algorithms based on game theory established relatively recently. The analysis shows
Soft Sensing and Optimal Power Control for Cognitive Radio
Jafar, Syed A.
Soft Sensing and Optimal Power Control for Cognitive Radio Sudhir Srinivasa and Syed Ali Jafar being present increases. We find that power control that maximizes the SNR is binary, i implementation at the secondary transmitter. With binary detection and binary power control, minimizing
Power optimization of wind farms by curtailment of upwind turbines
Power optimization of wind farms by curtailment of upwind turbines Simon Kirkeby Wessel Kongens is shown to increase the total power production of wind farms of dierent size and shape. Several methods by curtailing upwind turbines. It is shown that the annual power production for a square wind farm consisting
An Optimal Power Management Policy for Wireless Communication Devices
1 An Optimal Power Management Policy for Wireless Communication Devices C.F. Chiasserini, E to the problem of energy consumption in wireless networks, which exploits the dynamic power management concept to return to the active state. Power management policies are typically used to control the state
Fast Power Flow Methods 1.0 Introduction
McCalley, James D.
1 Fast Power Flow Methods 1.0 Introduction What we have learned so far is the socalled "full that with a NR. But NR is slow! Often, the problem is not so "tough," and in that case, the socalled fast is fast and robust, it is not very accurate. Solving the power flow equations can be computationally
Fe/V Redox Flow Battery Electrolyte Investigation and Optimization
Li, Bin; Li, Liyu; Wang, Wei; Nie, Zimin; Chen, Baowei; Wei, Xiaoliang; Luo, Qingtao; Yang, Zhenguo; Sprenkle, Vincent L.
20130501T23:59:59.000Z
Recently invented Fe/V redox flow battery (IVBs) system has attracted more and more attentions due to its longterm cycling stability. In this paper, the factors (such as compositions, state of charge (SOC) and temperatures) influencing the stability of electrolytes in both positive and negative halfcells were investigated by an extensive matrix study. Thus an optimized electrolyte, which can be operated in the temperature ranges from 5oC to 50oC without any precipitations, was identified. The Fe/V flow cells using the optimized electrolytes and lowcost membranes exhibited satisfactory cycling performances at different temperatures. The efficiencies, capacities and energy densities of flow batteries with varying temperatures were discussed in detail.
Conic optimization of electric power systems
Taylor, Joshua Adam
20110101T23:59:59.000Z
The electric power grid is recognized as an essential modern infrastructure that poses numerous canonical design and operational problems. Perhaps most critically, the inherently large scale of the power grid and similar ...
Combined Thermal and Power Energy Management Optimization
Ahner, D. J.; Priestley, R. R.
19910101T23:59:59.000Z
satisfaction of process heat and power requirements, energy supply contractual commitments and protect plant personnel and equipment. Differences in the thermal performance characteristics of the plant's power generation, heat recovery, and process boiler... characteristic. However, cogeneration applications often require the consideration of multiple energy sources, individual plant equipment incremental performance, the simultaneous demands for power and process heat at various energy levels and complex...
Utility system integration and optimization models for nuclear power management
Deaton, Paul Ferris
19730101T23:59:59.000Z
A nuclear power management model suitable for nuclear utility systems optimization has been developed for use in multireactor fuel management planning over periods of up to ten years. The overall utility planning model ...
Automated Synthesis Tool for Design Optimization of Power Electronic Converters
Mirjafari, Mehran
20130109T23:59:59.000Z
Designers of power electronic converters usually face the challenge of having multiple performance indices that must be simultaneously optimized, such as maximizing efficiency while minimizing mass or maximizing reliability while minimizing cost...
OPTIMIZATION OF COAL PARTICLE FLOW PATTERNS IN LOW NOX BURNERS
Jost O.L. Wendt; Gregory E. Ogden; Jennifer Sinclair; Caner Yurteri
20010820T23:59:59.000Z
The proposed research is directed at evaluating the effect of flame aerodynamics on NO{sub x} emissions from coal fired burners in a systematic manner. This fundamental research includes both experimental and modeling efforts being performed at the University of Arizona in collaboration with Purdue University. The objective of this effort is to develop rational design tools for optimizing low NO{sub x} burners to the kinetic emissions limit (below 0.2 lb./MMBTU). Experimental studies include both cold and hot flow evaluations of the following parameters: flame holder geometry, secondary air swirl, primary and secondary inlet air velocity, coal concentration in the primary air and coal particle size distribution. Hot flow experiments will also evaluate the effect of wall temperature on burner performance. Cold flow studies will be conducted with surrogate particles as well as pulverized coal. The cold flow furnace will be similar in size and geometry to the hotflow furnace but will be designed to use a laser Doppler velocimeter/phase Doppler particle size analyzer. The results of these studies will be used to predict particle trajectories in the hotflow furnace as well as to estimate the effect of flame holder geometry on furnace flow field. The hotflow experiments will be conducted in a novel nearflame downflow pulverized coal furnace. The furnace will be equipped with externally heated walls. Both reactors will be sized to minimize wall effects on particle flow fields. The coldflow results will be compared with Fluent computation fluid dynamics model predictions and correlated with the hotflow results with the overall goal of providing insight for novel low NO{sub x} burner geometry's.
Power Optimal Connectivity and Coverage in Wireless Sensor Networks
Bystroff, Chris
1 Power Optimal Connectivity and Coverage in Wireless Sensor Networks Metin Inanc, Malik Magdon links, there are fundamental differences between a sensor network and other wireless adhoc networks programming/Optimization I. INTRODUCTION This work considers a sensor network which is com prised of a large
Optimizing a Hybrid Energy Storage System for a Virtual Power Plant for Improved Wind Power
Teodorescu, Remus
Optimizing a Hybrid Energy Storage System for a Virtual Power Plant for Improved Wind Power approach to find two optimum energy storages (ESs) to build a hybrid system which is part of a virtual power plant. In this paper it means the combination of the hybrid energy storage system and wind power
Peng, Huei
. Optimization of Power Management Strategies for a Hydraulic Hybrid Medium Truck Bin Wu, ChanChiao Lin, Zoran regenerating and reusing of significant amounts of braking energy. Consequently, power flows through the hybrid with parallel hydraulic hybrid powertrain. The hydraulic hybrid vehicle (HHV) system is modeled in MATLAB
Partially Adaptive Stochastic Optimization for Electric Power ...
Jikai Zou
20150103T23:59:59.000Z
Jan 3, 2015 ... Abstract: Electric Power Generation Expansion Planning (GEP) is the problem ... expansion problem under demand and fuel price uncertainty.
Probabilistic Power Flow Simulation allowing Temporary Current Overloading
Frank, Jason
flow model subject to connection temperature constraints. Renewable power generation is included model. This substantially influences the choice of model for the renewable power source, as we explain realistically. Using such a constraint is justified the more by the intermittent nature of the renewable power
Optimal Power Management for a Hydraulic Hybrid Delivery Truck
Peng, Huei
Optimal Power Management for a Hydraulic Hybrid Delivery Truck BIN WU, CHANCHIAO LIN, ZORAN FILIPI control strategies. This paper presents a methodology for developing a power management strategy tailored specifically to a parallel Hydraulic Hybrid Vehicle (HHV) configured for a mediumsize delivery truck
Optimizing Thermoelectric Power Factor by Means of a Potential Barrier
1 Optimizing Thermoelectric Power Factor by Means of a Potential Barrier Neophytos Neophytou}@iue.tuwien.ac.at Abstract Large efforts in improving thermoelectric energy conversion are devoted to energy filtering design, ~40% improvement in the thermoelectric power factor can be achieved if the following conditions
Optimal Maintenance Scheduling of a Gas Engine Power Plant
Grossmann, Ignacio E.
1 Optimal Maintenance Scheduling of a Gas Engine Power Plant Pedro M. Castro Ignacio E. Grossmann is to minimize payment for skilled labor · Plants or equipments will maintain separately · Generator maintenance one of the most significant problems in power systems operation & management Tries to avoid
OPTIMAL DISTRIBUTED POWER GENERATION UNDER NETWORK LOAD CONSTRAINTS,
Frank, Jason
OPTIMAL DISTRIBUTED POWER GENERATION UNDER NETWORK LOAD CONSTRAINTS, MARJAN VAN DEN AKKER, GABRI of novel components for decentral power generation (solar panels, small wind turbines and heat pumps). This gives rise to the question how many units of each type (solar panel, small wind turbine or central
Research Study on Convex Optimization of Power Distribution Networks
Lavaei, Javad
communication and control technology impels the transformation of power distribution system in both its. To solve the OPF problem for unbalanced threephase power distribution systems, NewtonRaphson methods hasbus system in distribution network and structure the mathematical model and performs convex optimization
Optimization Online  Solving PowerConstrained Gas ...
BjÃ¶rn GeiÃŸler
20141124T23:59:59.000Z
Nov 24, 2014 ... Solving PowerConstrained Gas Transportation Problems using an MIPbased Alternating Direction Method. BjÃ¶rn GeiÃŸler (bjoern.geissler ...
Hybrid robust predictive optimization method of power system dispatch
Chandra, Ramu Sharat (Niskayuna, NY); Liu, Yan (Ballston Lake, NY); Bose, Sumit (Niskayuna, NY); de Bedout, Juan Manuel (West Glenville, NY)
20110802T23:59:59.000Z
A method of power system dispatch control solves power system dispatch problems by integrating a larger variety of generation, load and storage assets, including without limitation, combined heat and power (CHP) units, renewable generation with forecasting, controllable loads, electric, thermal and water energy storage. The method employs a predictive algorithm to dynamically schedule different assets in order to achieve global optimization and maintain the system normal operation.
Combined Thermal and Power Energy Management Optimization
Ahner, D. J.; Priestley, R. R.
have heat recovery steam generators, one supplementary fired delivering power and process steam to the plant electrical and steam header distribution systems. The optimum dispatch of these gas turbine units under specified power and steam load... value. The dispatch of the units is determined by their relative incremental efficiency in delivering steam to the process header which results in the optimum dispatch condition of equal incremental heat recovery efficiencies. The equal incremental...
Power Signal Processing: A New Perspective for Power Analysis and Optimization
Zhong, Lin
Power Signal Processing: A New Perspective for Power Analysis and Optimization Quming Zhou, Lin the rich set of signal processing techniques. We first investigate the power signal properties of digital systems and analyze their limitations. We then study signal processing tech niques for detecting temporal
Optimal Control of Transient Flow in Natural Gas Networks
Zlotnik, Anatoly; Backhaus, Scott
20150101T23:59:59.000Z
We outline a new control system model for the distributed dynamics of compressible gas flow through largescale pipeline networks with timevarying injections, withdrawals, and control actions of compressors and regulators. The gas dynamics PDE equations over the pipelines, together with boundary conditions at junctions, are reduced using lumped elements to a sparse nonlinear ODE system expressed in vectormatrix form using graph theoretic notation. This system, which we call the reduced network flow (RNF) model, is a consistent discretization of the PDE equations for gas flow. The RNF forms the dynamic constraints for optimal control problems for pipeline systems with known timevarying withdrawals and injections and gas pressure limits throughout the network. The objectives include economic transient compression (ETC) and minimum load shedding (MLS), which involve minimizing compression costs or, if that is infeasible, minimizing the unfulfilled deliveries, respectively. These continuous functional optimiza...
Does the Poynting vector always represent electromagnetic power flow?
Changbiao Wang
20150707T23:59:59.000Z
Poynting vector as electromagnetic power flow has prevailed over one hundred years in the community. However in this paper, it is shown from Maxwell equations that the Poynting vector may not represent the electromagnetic power flow for a plane wave in a nondispersive, lossless, nonconducting, anisotropic uniform medium; this important conclusion revises the conventional understanding of Poynting vector. It is also shown that this conclusion is clearly supported by Fermat's principle and special theory of relativity.
Does the Poynting vector always represent electromagnetic power flow?
Wang, Changbiao
20150101T23:59:59.000Z
Poynting vector as electromagnetic power flow has prevailed over one hundred years in the community. However in this paper, it is shown from Maxwell equations that the Poynting vector may not represent the electromagnetic power flow for a plane wave in a nondispersive, lossless, nonconducting, anisotropic uniform medium; this important conclusion revises the conventional understanding of Poynting vector. It is also shown that this conclusion is clearly supported by Fermat's principle and special theory of relativity.
Power Modeling and Optimization for GPGPUs
Li, Zhi
20130531T23:59:59.000Z
of the TFETBased Registers ..................................................... 27 4.4.2 Implementation of MEM_RA .................................................................. 29 4.4.3 Hardware and Power Overhead... Normal exec req0 Memory Controller req1 DRAM ... ... req0 Memory Controller DRAM Idle Idle Idle mem request mem request Resource contentions in both NoC and memory controller Low freq. exec. Low freq. exec. Low freq. exec. Time ... ... 22...
Impact of Turbulence Closures and Numerical Errors for the Optimization of Flow Control Devices
ParisSud XI, Université de
Impact of Turbulence Closures and Numerical Errors for the Optimization of Flow Control Devices J the use of a Krigingbased global optimization method to determine optimal control parameters conduct an optimization process and measure the impact of numerical and modeling errors on the optimal
Primus Power's Flow Battery Powered by $11 Million in Private...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Primus Power, has generated 11 million in followon funding for its gridscale storage technology  5 times more than ARPAE's 2 million investment last year. As Secretary Chu...
GLOBAL OPTIMIZATION OF MULTIPHASE FLOW NETWORKS IN OIL AND GAS PRODUCTION SYSTEMS
Johansen, Tor Arne
1 GLOBAL OPTIMIZATION OF MULTIPHASE FLOW NETWORKS IN OIL AND GAS PRODUCTION SYSTEMS MSc. Hans in an oil production system is developed. Each well may be manipulated by injecting lift gas and adjusting in the maximum oil flow rate, water flow rate, liquid flow rate, and gas flow rate. The wells may also
Aerodynamic Shape Optimization of Airfoils in UltraLow Reynolds Number Flow using
Stanford University
Aerodynamic Shape Optimization of Airfoils in UltraLow Reynolds Number Flow using Simultaneous;Aerodynamic Shape Optimization of Airfoils in UltraLow Reynolds Number Flow using Simultaneous Pseudo Abstract. The paper presents numerical results of optimized airfoils at ultralow Reynolds numbers
Optimal Demand Response Based on Utility Maximization in Power Networks
Low, Steven H.
Optimal Demand Response Based on Utility Maximization in Power Networks Na Li, Lijun Chen different appliances including PHEVs and batteries and propose a demand response approach based on utility. The utility company can thus use dynamic pricing to coordinate demand responses to the benefit of the overall
SystemLevel Power Optimization: Techniques and Tools
De Micheli, Giovanni
SystemLevel Power Optimization: Techniques and Tools LUCA BENINI Università di Bologna, and storage units, and we review methods for reducing their energy consumption. We also study models releasable by a battery of limited weight and size; (ii) the technical feasibility of high performance
Restoration strategy for power distribution networks using optimal supervisory control
Lim, JongTae
the supervisory control technique to a linerestoration problem aiming to increase the steadystate security level of lines and transformers and the bus voltage for the security assessment. 2 Preliminary The supervisoryRestoration strategy for power distribution networks using optimal supervisory control M.S. Lee
Optimization of Power Constrained MultiSource Uplink Relay Networks
Blostein, Steven D.
Department of Electrical and Computer Engineering Queen's University, Kingston, Ontario, K7L3N6, CanadaOptimization of Power Constrained MultiSource Uplink Relay Networks Yi Zheng and Steven Blostein beamforming in the uplink. Here, multiple singleantenna sources access a multiple antenna destination
Optimal Quarantining of Wireless Malware Through Power Control
Sarkar, Saswati
Optimal Quarantining of Wireless Malware Through Power Control M. H. R. Khouzani School of Electrical and Systems Engineering University of Pennsylvania Email: khouzani@seas.upenn.edu Eitan Altman.Altman@sophia.inria.fr Saswati Sarkar School of Electrical and Systems Engineering University of Pennsylvania Email
Liu, Q. H. [University of Tennessee, Knoxville (UTK); Grim, G. M. [University of Tennessee, Knoxville (UTK); Papandrew, A [University of Tennessee, Knoxville (UTK); Turhan, A. [University of Tennessee, Knoxville (UTK); Zawodzinski, Thomas A [ORNL; Mench, Matthew M [ORNL
20120101T23:59:59.000Z
The performance of a vanadium flow battery with nogap architecture was significantly improved via several techniques. Specifically, gains arising from variation of the overall electrode thickness, membrane thickness, and electrode thermal treatment were studied. There is a tradeoff between apparent kinetic losses, mass transfer losses, and ionic resistance as the electrode thickness is varied at the anode and cathode. Oxidative thermal pretreatment of the carbon paper electrode increased the peak power density by 16%. Results of the pretreatment in air showed greater improvement in peak power density compared to that obtained with pretreatment in an argon environment. The highest peak power density in a VRB yet published to the author s knowledge was achieved at a value of 767 mW cm 2 with optimized membrane and electrode engineering. 2012 The Electrochemical Society. [DOI: 10.1149/2.051208jes] All rights reserved.
TAS: 89 0227: TAS Recovery Act  Optimization and Control of Electric Power Systems: ARRA
Chiang, HsiaoDong
20140201T23:59:59.000Z
The name SuperOPF is used to refer several projects, problem formulations and software tools intended to extend, improve and redefine some of the standard methods of optimizing electric power systems. Our work included applying primaldual interior point methods to standard AC optimal power flow problems of large size, as well as extensions of this problem to include cooptimization of multiple scenarios. The original SuperOPF problem formulation was based on cooptimizing a base scenario along with multiple postcontingency scenarios, where all AC power flow models and constraints are enforced for each, to find optimal energy contracts, endogenously determined locational reserves and appropriate nodal energy prices for a single period optimal power flow problem with uncertainty. This led to example nonlinear programming problems on the order of 1 million constraints and half a million variables. The second generation SuperOPF formulation extends this by adding multiple periods and multiple base scenarios per period. It also incorporates additional variables and constraints to model load following reserves, ramping costs, and storage resources. A third generation of the multiperiod SuperOPF, adds both integer variables and a receding horizon framework in which the problem type is more challenging (mixed integer), the size is even larger, and it must be solved more frequently, pushing the limits of currently available algorithms and solvers. The consideration of transient stability constraints in optimal power flow (OPF) problems has become increasingly important in modern power systems. Transient stability constrained OPF (TSCOPF) is a nonlinear optimization problem subject to a set of algebraic and differential equations. Solving a TSCOPF problem can be challenging due to (i) the differentialequation constraints in an optimization problem, (ii) the lack of a true analytical expression for transient stability in OPF. To handle the dynamics in TSCOPF, the set of differential equations can be approximated or converted into equivalent algebraic equations before they are included in an OPF formulation. In Chapter 4, a rigorous evaluation of using a predefined and fixed threshold for rotor angles as a mean to determine transient stability of the system is developed. TSCOPF can be modeled as a largescale nonlinear programming problem including the constraints of differentialalgebraic equations (DAE). Solving a TSCOPF problem can be challenging due to (i) the differentialequation constraints in an optimization problem, (ii) the lack of a true analytical expression for transient stability constraint in OPF. Unfortunately, even the current best TSCOPF solvers still suffer from the curse of dimensionality and unacceptable computational time, especially for largescale power systems with multiple contingencies. In chapter 5, thse issues will be addressed and a new method to incorporate the transient stability constraints will be presented.
Research on stochastic powerflow study methods. Final report
Heydt, G. T. [ed.] [ed.
19810101T23:59:59.000Z
A general algorithm to determine the effects of uncertainty in bus load and generation on the output of conventional power flow analysis is presented. The use of statistical moments is presented and developed as a means for representing the stochastic process. Statistical moments are used to describe the uncertainties, and facilitate the calculations of single and multivarlate probability density functions of input and output variables. The transformation of the uncertainty through the power flow equations is made by the expansion of the node equations in a multivariate Taylor series about an expected operating point. The series is truncated after the second order terms. Since the power flow equations are nonlinear, the expected values of output quantities is in general not the solution to the conventional load flow problem using expected values of input quantities. The second order transformation offers a correction vector and allows the consideration of larger uncertainties which have caused significant error in the current linear transformation algorithms. Voltage controlled busses are included with consideration of upper and lower limits. The finite reactive power available at generation sites, and fixed ranges of transformer tap movement may have a significant effect on voltage and line power flow statistics. A method is given which considers limitation constraints in the evaluation of all output quantities. The bus voltages, line power flows, transformer taps, and generator reactive power requirements are described by their statistical moments. Their values are expressed in terms of the probability that they are above or below specified limits, and their expected values given that they do fall outside the limits. Thus the algorithm supplies information about severity of overload as well as probability of occurrence. An example is given for an eleven bus system, evaluating each quantity separately. The results are compared with Monte Carlo simulation.
Optimization of wind turbine energy and power factor with an evolutionary computation algorithm
Kusiak, Andrew
Optimization of wind turbine energy and power factor with an evolutionary computation algorithm 2009 Keywords: Wind turbine Power factor Power output Power quality Data mining Neural network Dynamic computation approach for optimization of power factor and power output of wind turbines is discussed. Data
Dynamic Power Flow Controller: Compact Dynamic Phase Angle Regulators for Transmission Power Routing
None
20120103T23:59:59.000Z
GENI Project: Varentec is developing compact, lowcost transmission power controllers with fractional power rating for controlling power flow on transmission networks. The technology will enhance grid operations through improved use of current assets and by dramatically reducing the number of transmission lines that have to be built to meet increasing contributions of renewable energy sources like wind and solar. The proposed transmission controllers would allow for the dynamic control of voltage and power flow, improving the grid’s ability to dispatch power in real time to the places where it is most needed. The controllers would work as failsafe devices whereby the grid would be restored to its present operating state in the event of a controller malfunction instead of failing outright. The ability to affordably and dynamically control power flow with adequate failsafe switchgear could open up new competitive energy markets which are not possible under the current regulatory structure and technology base.
Power optimization of wind turbines with data mining and evolutionary computation
Kusiak, Andrew
Power optimization of wind turbines with data mining and evolutionary computation Andrew Kusiak for maximization of the power produced by wind turbines is presented. The power optimization objective energy captured from the wind. Power output can be increased by optimization of the pitch angle
Oren, Shmuel S.
. Initial aggregate battery state of charge (SOC) at node . Minimum aggregate battery SOC at time period at node . Maximum aggregate battery SOC at time period at node . Planning periods for optimization for total power flow balance constraints. Generation supplied to the distribution grid at time period . Net
Optimal channel allocation with dynamic power control in cellular networks
Wu, Xin; Bari, Ataul; 10.5121/ijcnc.2011.3206
20110101T23:59:59.000Z
Techniques for channel allocation in cellular networks have been an area of intense research interest for many years. An efficient channel allocation scheme can significantly reduce callblocking and calldropping probabilities. Another important issue is to effectively manage the power requirements for communication. An efficient power control strategy leads to reduced power consumption and improved signal quality. In this paper, we present a novel integer linear program (ILP) formulation that jointly optimizes channel allocation and power control for incoming calls, based on the carriertointerference ratio (CIR). In our approach we use a hybrid channel assignment scheme, where an incoming call is admitted only if a suitable channel is found such that the CIR of all ongoing calls on that channel, as well as that of the new call, will be above a specified value. Our formulation also guarantees that the overall power requirement for the selected channel will be minimized as much as possible and that no ongoin...
Heuristic Optimization for the Discrete Virtual Power Plant Dispatch Problem
Petersen, Mette K.; Hansen, Lars H.; Bendtsen, Jan; Edlund, Kristian; Stoustrup, Jakob
20141017T23:59:59.000Z
We consider a virtual power plant, which is given the task of dispatching a fluctuating power supply to a portfolio of flexible consumers. The flexible consumers are modeled as discrete batch processes, and the associated optimization problem is denoted the discrete virtual power plant dispatch problem (DVPPDP). First, the nondeterministic polynomial time (NP)completeness of the discrete virtual power plant dispatch problem is proved formally. We then proceed to develop tailored versions of the metaheuristic algorithms hill climber and greedy randomized adaptive search procedure (GRASP). The algorithms are tuned and tested on portfolios of varying sizes. We find that all the tailored algorithms perform satisfactorily in the sense that they are able to find suboptimal, but usable, solutions to very large problems (on the order of 105 units) at computation times on the scale of just 10 s, which is far beyond the capabilities of the optimal algorithms we have tested. In particular, GRASP sorted shows with the most promising performance, as it is able to find solutions that are both agile (sorted) and well balanced, and consistently yields the best numerical performance among the developed algorithms.
Optimal Power Market Participation of PlugIn Electric Vehicles Pooled by Distribution Feeder
Caramanis, Michael
: Power system markets, Power system economics Key Words: Load management, Electric vehicle gridOptimal Power Market Participation of PlugIn Electric Vehicles Pooled by Distribution Feeder Transactions on Power Systems #12;WORKING PAPER 1 Optimal Power Market Participation of PlugIn Electric
Simulation and Optimization on Power Plant Operation Using Sega's EOP Program
Zhou, J.; Deng, S.; Turner, W. D.; Liu, M.
20000101T23:59:59.000Z
The operation of a cogeneration power plant is complicated. The Energy Optimization Program (EOP, software made by SEGA, Inc.) was designed to simulate and optimize the operation of TAMU power plant. All major plant components were represented...
Simulation and Optimization on Power Plant Operation Using Sega's EOP Program
Zhou, J.; Deng, S.; Turner, W. D.; Liu, M.
20000101T23:59:59.000Z
The operation of a cogeneration power plant is complicated. The Energy Optimization Program (EOP, software made by SEGA, Inc.) was designed to simulate and optimize the operation of TAMU power plant. All major plant components were represented...
Optimal Distributed Voltage Regulation in Power Distribution Networks
Lam, Albert Y S; DominguezGarcia, Alejandro; Tse, David
20120101T23:59:59.000Z
In this paper, we address the problem of voltage regulation in power distribution networks with deeppenetration of distributed energy resources (DERs), e.g., renewablebased generation, and storagecapable loads such as plugin hybrid electric vehicles. We cast the problem as an optimization program, where the objective is to minimize the losses in the network subject to constraints on bus voltage magnitudes, limits on active and reactive power injections, transmission line thermal limits and losses. We provide sufficient conditions under which the optimization problem can be solved via its convex relaxation. Using data from existing networks, we show that the conditions are expected to be satisfied by most networks. We also provide an efficient distributed algorithm to solve the problem. The algorithm is asynchronous, with a communication topology that is the same as the electrical network topology. We illustrate the algorithm's performance in the IEEE 34bus and the 123bus feeder test systems.
Optimization of auxiliary power systems design for large generating units
Fabri, E.I.; Kang, E.K.; Dusterdick, R.W.
19800101T23:59:59.000Z
Modern fossil and nuclear generating units require the support of a fairly large and complex electric auxiliary power system. The selection of an optimized and costeffective auxiliary power transformer rating may be a difficult process, since the loading profile and coincident operation of the loads often cannot be firmly defined at an early stage of design. The authors believe that this important design process could be greatly aided by systematic field tests and recording of the actual auxiliary loading profiles during various modes of plant operations.
Optimization of a solar powered absorption cycle under Abu Dhabi's weather conditions
AlAlili, A.; Hwang, Y.; Radermacher, R. [Department of Mechanical Engineering, University of Maryland, College Park, MD (United States); Kubo, I. [Department of Mechanical Engineering, The Petroleum Institute, Abu Dhabi (United Arab Emirates)
20101215T23:59:59.000Z
In order for the solar absorption air conditioners to become a real alternative to the conventional vapour compression systems, their performance has to be improved and their total cost has to be reduced. A solar powered absorption cycle is modeled using the Transient System Simulation (TRNSYS) program and Typical Meteorological Year 2 data of Abu Dhabi. It uses evacuated tube collectors to drive a 10 kW ammoniawater absorption chiller. Firstly, the system performance and its total cost are optimized separately using single objective optimization algorithms. The design variables considered are: the collector slope, the collector mass flow rate, the collector area and the storage tank volume. The single objective optimization results show that MATLAB global optimization methods agree with the TRNSYS optimizer. Secondly, MATLAB is used to solve a multiobjective optimization problem to improve the system's performance and cost, simultaneously. The optimum designs are presented using Pareto curve and show the potential improvements of the baseline system. (author)
Power flow analysis for amplifier design and energy harvesting
Lindner, Douglas K.
. In order to improve the efficiency of an active isolation system we analyze different feedback control energy on a active vibration isolation system it is important to understand the influence of the existingPower flow analysis for amplifier design and energy harvesting Nikola Vujica, Donald J. Leoa
Primary Side Power Flow Control of Wireless Power Transfer for Electric Vehicle Charging
Miller, John M [ORNL; Onar, Omer C [ORNL; Chinthavali, Madhu Sudhan [ORNL
20150101T23:59:59.000Z
Various noncontacting methods of plugin electric vehicle charging are either under development or now deployed as aftermarket options in the lightduty automotive market. Wireless power transfer (WPT) is now the accepted term for wireless charging and is used synonymously for inductive power transfer and magnetic resonance coupling. WPT technology is in its infancy; standardization is lacking, especially on interoperability, center frequency selection, magnetic fringe field suppression, and the methods employed for power flow regulation. This paper proposes a new analysis concept for power flow in WPT in which the primary provides frequency selection and the tuned secondary, with its resemblance to a power transmission network having a reactive power voltage control, is analyzed as a transmission network. Analysis is supported with experimental data taken from Oak Ridge National Laboratory s WPT apparatus. This paper also provides an experimental evidence for frequency selection, fringe field assessment, and the need for lowlatency communications in the feedback path.
Physical Layer Security with Artificial Noise: Secrecy Capacity and Optimal Power Allocation
Zhou, Xiangyun "Sean"
as the objective function to optimize transmit power allocation between the information signal and the artificial expression as the objective function, we investigate the optimal transmit power allocation betweenPhysical Layer Security with Artificial Noise: Secrecy Capacity and Optimal Power Allocation
Cooptimization of Performance and Power in a Superscalar Processor Design
Wong, Weng Fai
. As process technology scales down, power wall starts to hinder im provements in processor performanceCooptimization of Performance and Power in a Superscalar Processor Design Yongxin Zhu1 , Weng. Performance optimization has to proceed under a power constraint. The cooptimization requires exploration
Optimal timeouts for power management under renewal or hidden Markov processes for requests
Optimal timeouts for power management under renewal or hidden Markov processes for requests Victor mode, so as to optimize a tradeoff between power consumption and user impact. The optimal timeout, on the basis of the power consumption, user impact and the frequency of wrong decisions. 1 Introduction
A STOCHASTIC OPTIMAL CONTROL APPROACH FOR POWER MANAGEMENT IN PLUGIN HYBRID ELECTRIC VEHICLES
Krstic, Miroslav
A STOCHASTIC OPTIMAL CONTROL APPROACH FOR POWER MANAGEMENT IN PLUGIN HYBRID ELECTRIC VEHICLES on optimizing PHEV power management for fuel economy, subject to charge sustenance constraints, over individual dynamic programming to optimize PHEV power management over a distribution of drive cycles, rather than
Bertsekas, Dimitri
switched network. We discuss an integerlinear programming formulation, which can be addressed with highly efficient linear (not integer) programming methods, to obtain optimal or nearly optimal solutions. 1 multicommodity flow problems. We focus in particular on the problem of routing and wavelength assignment (RWA
Global Optimal Routing, Scheduling and Power Control for Multihop Wireless Networks with
Tabatabaee, Vahid
Global Optimal Routing, Scheduling and Power Control for Multihop Wireless Networks scheduling and power control that minimizes the total average transmission power is found. We formulate the optimal routing scheduling and power control. Simulation results show that this methodology is more
Power Optimal Routing in Wireless Networks Rajit Manohar and Anna Scaglione
Manohar, Rajit
Power Optimal Routing in Wireless Networks Rajit Manohar and Anna Scaglione ECE, Cornell University Abstract Reducing power consumption and increasing bat tery life of nodes in an adhoc network requires an integrated power control and routing strategy. Power optimal routing selects the multihop links that require
Marisetti, Sudheer N
19900101T23:59:59.000Z
the implementation of a, combined flow control and optimal routing algorithm in packet switched networks. In addition, we study the influence of various objective functions on maximum link utilization, average packet delay, and fairness, The algorithm is based... on the gradient projection method. Flow control is introduced through fictituous links that connect origins to destinations and carry the rejected load. The fictitious links reduce the problem of combined routing and flow control to the optimal routing problem...
TemperatureAware Dynamic Resource Provisioning in a PowerOptimized Datacenter
Pedram, Massoud
wide power and thermal management (PTM) solutions that improve the energy efficiency of the datacenters power consumption (for both servers and air conditioning units) while meeting an upper bound, resource provisioning, energy efficient, power optimization, temperature aware I. INTRODUCTION Cloud
Optimal quantumenhanced interferometry using a laser power source
Matthias D. Lang; Carlton M. Caves
20131028T23:59:59.000Z
We consider an interferometer powered by laser light (a coherent state) into one input port and ask the following question: what is the best state to inject into the second input port, given a constraint on the mean number of photons this state can carry, in order to optimize the interferometer's phase sensitivity? This question is the practical question for highsensitivity interferometry. We answer the question by considering the quantum Cram{\\'e}rRao bound for such a setup. The answer is squeezed vacuum.
A MultiPhase Power Flow Model for Grid Analysis A. P. Sakis Meliopoulos
A MultiPhase Power Flow Model for µµµµGrid Analysis A. P. Sakis Meliopoulos School of Electrical multiphase power flow analysis method that provides exact solution to the operation of the µGrid under steady
Power Supply and Consumption CoOptimization of Portable Embedded Systems with
Pedram, Massoud
Power Supply and Consumption CoOptimization of Portable Embedded Systems with Hybrid Power Supply proposed. In this work, we consider a portable embedded system with a hybrid power supply and executing periodic realtime tasks. We perform system power management from both the power supply side and the power
Density Power Spectrum of Compressible Hydrodynamic Turbulent Flows
Jongsoo Kim; Dongsu Ryu
20050726T23:59:59.000Z
Turbulent flows are ubiquitous in astrophysical environments, and understanding density structures and their statistics in turbulent media is of great importance in astrophysics. In this paper, we study the density power spectra, $P_{\\rho}$, of transonic and supersonic turbulent flows through one and threedimensional simulations of driven, isothermal hydrodynamic turbulence with rootmeansquare Mach number in the range of $1 \\la M_{\\rm rms} \\la 10$. From onedimensional experiments we find that the slope of the density power spectra becomes gradually shallower as the rms Mach number increases. It is because the density distribution transforms from the profile with {\\it discontinuities} having $P_{\\rho} \\propto k^{2}$ for $M_{\\rm rms} \\sim 1$ to the profile with {\\it peaks} having $P_{\\rho} \\propto k^0$ for $M_{\\rm rms} \\gg 1$. We also find that the same trend is carried to threedimension; that is, the density power spectrum flattens as the Mach number increases. But the density power spectrum of the flow with $M_{\\rm rms} \\sim 1$ has the Kolmogorov slope. The flattening is the consequence of the dominant density structures of {\\it filaments} and {\\it sheets}. Observations have claimed different slopes of density power spectra for electron density and cold H I gas in the interstellar medium. We argue that while the Kolmogorov spectrum for electron density reflects the {\\it transonic} turbulence of $M_{\\rm rms} \\sim 1$ in the warm ionized medium, the shallower spectrum of cold H I gas reflects the {\\it supersonic} turbulence of $M_{\\rm rms} \\sim$ a few in the cold neutral medium.
Fast optimal CMB power spectrum estimation with Hamiltonian sampling
J. F. Taylor; M. A. J. Ashdown; M. P. Hobson
20080514T23:59:59.000Z
We present a method for fast optimal estimation of the temperature angular power spectrum from observations of the cosmic microwave background. We employ a Hamiltonian Monte Carlo (HMC) sampler to obtain samples from the posterior probability distribution of all the power spectrum coefficients given a set of observations. We compare the properties of the HMC and the related Gibbs sampling approach on lowresolution simulations and find that the HMC method performs favourably even in the regime of relatively low signaltonoise. We also demonstrate the method on highresolution data by applying it to simulated WMAP data. Analysis of a WMAPsized data set is possible in a around eighty hours on a highend desktop computer. HMC imposes few conditions on the distribution to be sampled and provides us with an extremely flexible approach upon which to build.
Engine optimal operation lines for powersplit hybrid electric vehicles
Papalambros, Panos
. Keywords: hybrid electric vehicle, power split, energy management strategy, optimal operation lineEngine optimal operation lines for powersplit hybrid electric vehicles Kukhyun Ahn* and P Y of degrees of freedom in energy management. Optimization problems for the two operation modes are formulated
Formation of a laminar electron flow for 300 GHz highpower pulsed gyrotron
Yamaguchi, Yuusuke; Tatematsu, Yoshinori; Saito, Teruo; Ikeda, Ryosuke; Mudiganti, Jagadish C.; Ogawa, Isamu; Idehara, Toshitaka [Research Center for Development of FarInfrared Region, University of Fukui, 391 Bunkyo, Fukuishi 9108507 (Japan)
20121115T23:59:59.000Z
This paper describes the design of a triode magnetron injection gun for use in a 200 kW, 300 GHz gyrotron. As power and frequency increase, the performance of the gyrotron becomes quite sensitive to the quality of the electron beam. Formation of a laminar electron flow is essential for the realization of a high quality beam with a small velocity spread. In this study, a new method is developed for a quantitative evaluation of the laminarity and is applied to optimize the electrode design. The laminarity depends not only on conventional design parameters such as the cathode slant angle but also on the spatial distribution of the electric field along the beam trajectory. In the optimized design, the velocity pitch factors, {alpha}, larger than 1.2 are obtained at 65 kV, 10 A with spreads, {Delta}{alpha}, less than 5%.
Energy 42 (2012) 486496 Thermoeconomic operation optimization of a coalfired power plant
Luh, Peter
20120101T23:59:59.000Z
optimization of a coalfired power plant Jie Xiong a, Haibo Zhao a.*, Chao Zhang a, Chuguang Zheng a, Peter B optimization on a 300 MW coalfired power plant located in Yiyang (Hunan Province, China) is accomplished based, are succes sively realized on the power plant. Both strategies aim to minimize the total annual cost ofthe
Optimal adaptive control of cascading power grid failures1 Version 2010Dec20
Bienstock, Daniel
Optimal adaptive control of cascading power grid failures1 Version 2010Dec20 Daniel Bienstock Columbia University New York 1 Introduction Power grids have long been a source of interesting optimization, the central modeling ingredient is that power grids display cascading behavior. A cascade is the process
SelfOptimization in Mobile Cellular Networks: Power Control and User Association
ParisSud XI, Université de
SelfOptimization in Mobile Cellular Networks: Power Control and User Association Chung Shue Chen should be addressed [7][9]. It is well known that power control, user association and channel allocation and also ensures global optimality. The only known power control algorithm that can guarantee strict
OPTIMAL POWER/DELAY TRADEOFFS IN WIRELESS COMMUNICATIONS SMALL DELAY ASYMPTOTICS
Kuzmanovic, Aleksandar
OPTIMAL POWER/DELAY TRADEOFFS IN WIRELESS COMMUNICATIONS SMALL DELAY ASYMPTOTICS Randall A@ece.northwestern.edu ABSTRACT In this paper we consider the optimal tradeoff between av erage transmission power and average the behavior of this tradeoff in the regime of asymptotically large power and small delay. Our focus
Optimization of Wind Power and Its Variability With a Computational Intelligence Approach
Kusiak, Andrew
Optimization of Wind Power and Its Variability With a Computational Intelligence Approach Zijun is presented for maximizing the generation of wind power while minimizing its variability. In the optimization model, datadriven approaches are used to model the windpower generation process based on industrial
Technoeconomic Optimization of Integrating Wind Power into Constrained Electric Networks
Victoria, University of
considers the power transmission system as well as load leveling. A network model is developed to simulateTechnoeconomic Optimization of Integrating Wind Power into Constrained Electric Networks by Jesseeconomic Optimization of Integrating Wind Power into Constrained Electric Networks by Jesse David Maddaloni B
Optimization and hybridization of membranebased oxycombustion power plants
Gunasekaran, Surekha
20130101T23:59:59.000Z
This thesis considers the optimization and hybridization of advanced zero emissions power (AZEP) cycles. More specifically, existing flowsheets for zero and partial emissions are optimized, and new integration schemes with ...
Optimizing interventions for the treatment of vascular flow disruptions
Boval, Brett Lawrence
20140101T23:59:59.000Z
All tissues rely on perfusion and therefore intact blood flow. When flow is disrupted the coupled interaction between the functional and fluid domains of a tissue is impeded and viability is lost. Aortic stenosis is a ...
Model Order Reduction in Porous Media Flow Simulation and Optimization
Ghasemi, Mohammadreza
20150506T23:59:59.000Z
Subsurface flow modeling and simulation is ubiquitous in many energy related processes, including oil and gas production. These models are usually large scale and simulating them can be very computationally demanding, particularly in workflows...
Stochastic Modeling of a PowerManaged System: Construction and Optimization
Qiu, Qinru
Stochastic Modeling of a PowerManaged System: Construction and Optimization Qinru Qiu, Qing Wu, CA 90089 Abstract  The goal of a dynamic power management policy is to reduce the power consumption of a powermanaged electronic system. We formulate the problem of systemlevel power management
Stochastic Modeling of a PowerManaged System: Construction and Optimization
Pedram, Massoud
1 Stochastic Modeling of a PowerManaged System: Construction and Optimization Qinru Qiu, Qing Wu, CA 90089 Abstract  The goal of a dynamic power management policy is to reduce the power consumption of a powermanaged electronic system. We formulate the problem of systemlevel power management
A Novel Power Flow Method for Long Term Frequency Stability Analysis
Yan, Wenjin
20130506T23:59:59.000Z
This thesis presents a novel approach for a power system to find a practical power flow solution when all the generators in the system have hit their real power output limits, such as some generator units shutting down or ...
Optimization Online  All Areas Submissions  October 2014
Inexactness of SDP Relaxation for Optimal Power Flow over Radial Networks and Valid ... Optimization Software and Modeling Systems ... Semidefinite relaxations for optimal control problems with oscillation and concentration effects
A Global Optimization Approach to the Design of Solar Power Plants
Apr 1, 2014 ... A Global Optimization Approach to the Design of Solar Power Plants. E. Carrizosa (ecarrizosa ***at*** us.es) C. DomÃnguezBravo ...
A Global Optimization Approach to the Design of Solar Power Plants
E. Carrizosa
20140401T23:59:59.000Z
Apr 1, 2014 ... A Global Optimization Approach to the Design of Solar Power Plants. E. Carrizosa (ecarrizosa ***at*** us.es) C. DomÃnguezBravo ...
Oren, Shmuel S.
into electric network optimization models. Optimal transmission switching is a straight forward way to leverage economics, power system reliability, power transmission control, power transmission economics. NOMENCLATURE. Generator. Set of generators at node . Transmission element (line or transformer). Set of transmission
A decomposition approach to optimal reactive power dispatch in largescale power systems
Deeb, N.I.
19890101T23:59:59.000Z
Power systems network operation is aimed at reducing system losses and minimizing the operational cost while satisfying performance requirements in normal and contingency situations. In this project, the procedure for the reactive power optimization has the solutions for investment and operation subproblems. The global solution is an iterative process between these two subproblems using the Bender decomposition method. In the investment subproblem decisions for the capacity and location of new reactive sources are made. These decisions are used in the optimization of the system operation. The outstanding features of the proposed method are that it does not require any matrix inversion, will save computation time and memory space, and can be implemented on very large scale power systems. The method employs a linearized objective function and constraints, and is based on adjusting control variables which are tap positions of transformers and reactive power injections. Linear programming is used to calculate voltage increments, which would minimize transmission losses, and adjustments of control variables would be obtained by a modified Jacobian matrix. This approach would greatly simplify the application of DantzigWolfe decomposition method for solving the operation subproblem. According to the mathematical features of the DantzigWolfe method, a multiarea approach is implemented and system equations are decomposed into a master problem and several subproblems. The master problem is formed by constraints, which represent linking transmission lines between areas. Two updated techniques are incorporated in the method to enhance the optimization process, which would save additional computation time and memory space. The proposed method is applied to the IEEE30 bus system, a 60bus system, a 180bus system and a 1200bus system, and numerical results are presented.
DC Optimal Power Flow Formulation in AMES Leigh Tesfatsion
Tesfatsion, Leigh
demand (i.e., a 24hour load profile) to be sold downstream at a regulated price r to its retail) and a collection of energy traders consisting of J LoadServing Enti ties (LSEs) and I Generation Companies (Gen
Combinational logic optimization for low power using implicationbased transformations
Swarna, Madhukiran V.
19970101T23:59:59.000Z
, Minpower, which reduces power consumption is presented. Heuristics and methods which help in guiding the optimization procedure towards a circuit with minimal power cost will be presented. Finally, experimental results on the ISCAS85 benchmark set and a...
Power network verication and optimization at planning stages
Du, Peng
20120101T23:59:59.000Z
Results and Summary . . . . . . . . vi Chapter 3 Power Gridof the power grid. . . . . . . . . . . . . . Zoomin part ofparameters of a power grid . . . . . . . . . . . . . . Table
Artificial Neural Network for Optimized Power System Management
OLeary, Daniel Albert
20150101T23:59:59.000Z
into the aging US power grid requires new technologies andtechniques. This improved power grid, the smart grid, willutility for the overall power grid, and the prosumer needs
Artificial Neural Network for Optimized Power System Management
OLeary, Daniel Albert
20150101T23:59:59.000Z
3.2 Wind and Power ConsumptionThe power consumption fitness analysis of a standard,of Figures A model of the power management model decision
Artificial Neural Network for Optimized Power System Management
OLeary, Daniel Albert
20150101T23:59:59.000Z
nineteen percent), and hydroelectric power (seven percent) [rich countries. • Hydroelectric power is ideal in many ways,like hydroelectric dams, the construction of nuclear power
Artificial Neural Network for Optimized Power System Management
OLeary, Daniel Albert
20150101T23:59:59.000Z
3.2 Wind and Power Consumptionsolid angle. Wind and Power Consumption Measurements Windfor the prediction of solar and wind power pro duction and
LQ Optimal Control of Wind Turbines in Hybrid Power Systems N.A. Cutululis1
LQ Optimal Control of Wind Turbines in Hybrid Power Systems N.A. Cutululis1 , H. Bindner1 , I power systems represent a viable solution for rural electrification. One of the most important aspects taken into account for the design of a wind diesel power system is the wind power penetration, which
ParisSud XI, Université de
Optimal transition from coal to gas and renewable power under capacity constraints and adjustment existing coal power plants to gas and renewable power under a carbon budget. It solves a model of polluting, exhaustible resources with capacity constraints and adjustment costs (to build coal, gas, and renewable power
Robust Optimal Control Strategies for a Hybrid Fuel Cell Power Management System
ParisSud XI, Université de
Robust Optimal Control Strategies for a Hybrid Fuel Cell Power Management System David Hern strategies are proposed for the power management subsystem of a hybrid fuel cell/supercapacitor power generation system. The control strate gies are based on different control configurations involving the power
Power Flow Modelling of Dynamic Systems  Introduction to Modern Teaching Tools
Geitner, GertHelge
20150101T23:59:59.000Z
As tools for dynamic system modelling both conventional methods such as transfer function or state space representation and modern power flow based methods are available. The latter methods do not depend on energy domain, are able to preserve physical system structures, visualize power conversion or coupling or split, identify power losses or storage, run on conventional software and emphasize the relevance of energy as basic principle of known physical domains. Nevertheless common control structures as well as analysis and design tools may still be applied. Furthermore the generalization of power flow methods as pseudopower flow provides with a universal tool for any dynamic modelling. The phenomenon of power flow constitutes an up to date education methodology. Thus the paper summarizes fundamentals of selected power flow oriented modelling methods, presents a Bond Graph block library for teaching power oriented modelling as compact menudriven freeware, introduces selected examples and discusses special f...
A Comparison of the AC and DC Power Flow Models for LMP Calculations
, the nonlinear power balance equations themselves usually have a large number of alternative (low voltage shifting transformers is often dependent upon the transformer's tap value. Last, the power flow modelsA Comparison of the AC and DC Power Flow Models for LMP Calculations Thomas J. Overbye, Xu Cheng
Maximizing the Performance of Wind Turbines with Nonlinear Aeroservoelastic Power Flow Control
1 Maximizing the Performance of Wind Turbines with Nonlinear Aeroservoelastic Power Flow Control by a wind turbine by operating at the edge of dynamic stall. This paper applies a novel nonlinear power flow of the first torsional mode of a nominal 5 MW rated power wind turbine blade. This model is analyzed using
OPTIMAL OPERATION OF AN INTEGRATED ENERGY PARK INCLUDING FOSSIL FUEL POWER GENERATION,
Stanford University
OPTIMAL OPERATION OF AN INTEGRATED ENERGY PARK INCLUDING FOSSIL FUEL POWER GENERATION, CO2 CAPTURE combustion turbine, and wind generation. Energy park com ponents are modeled using energy and mass balances. A formal optimization proce dure is used to determine the optimal hourly dispatch of energy park
Johansen, Tor Arne
been given in [10] whereas optimal load sharing for equal and unequal sized diesel generators has been1 Optimization of Load Dependent Start Tables in Marine Power Management Systems with Blackout and minimization of fuel consumption. Proposed method serves as an aid in a design of power management system
Power system analysis project Modeling and Sizing optimization of Standalone
Lavaei, Javad
to flexible wind directions and widely variable speed. The inclination and azimuth angle of solar panelin, cutout wind speed and rated power, into the optimization based on the real load of the site and writePower system analysis project Modeling and Sizing optimization of Standalone photovoltaic/wind
Optimal Power Allocation Auction for H.264/SVC Coded Wireless Video Transmission
Jagannatham, Aditya K.
Optimal Power Allocation Auction for H.264/SVC Coded Wireless Video Transmission G. Chandra Sekhar, India Email: adityaj@iitk.ac.in AbstractIn this paper, we propose optimal power allocation schemes streams as a function of the quantization parameter and frame rate. These are derived from the standard
Design, Analysis and Optimization of the Power Conversion System for the Modular Pebble Bed Reactor;2 #12;Design, Analysis, and Optimization of the Power Conversion System for the Modular Pebble Bed for the gas turbine cycle. The development of an initial reference design for an indirect helium cycle has
Optimal powerdelay tradeoffs in fading channels small delay asymptotics
Kuzmanovic, Aleksandar
1 Optimal powerdelay tradeoffs in fading channels  small delay asymptotics Randall A. Berry Dept, we study the behavior of the optimal powerdelay tradeoff for a single user in the regime@ece.northwestern.edu Abstract When transmitting stochastically arriving data over fading channels there is an inherent trade
Performance Optimization of a Photovoltaic Generator with an Active Power Filter Application
ParisSud XI, Université de
1 Performance Optimization of a Photovoltaic Generator with an Active Power Filter Application. BLORFAN, P. WIRA, D. FLIELLER, G. STURTZER, J. MERCKLE "Performance Optimization of a Photovoltaic (MPPT) for photovoltaic (PV) systems maximizes the power that can be transferred from the PV system
Chen, RongRong
Power Control for Multiple Access Channel with Peak and Average Power Constraints RongRong Chen}I@ece.utah.edu Abstract In this paper, we study optimal power control for multiple access channel with peak and average and the receiver. We characterize the structures of the optimal power control policy and show that the optimal
Optimizing the Mass Flow and Temperature Difference in a Cooling System for Energy Conservation
Hart, M. N.; Bond, S. K.
19800101T23:59:59.000Z
Conventional wisdom in recent times has been to raise the chilled water temperature to conserve chiller power. This is an effective and wellproven conservation strategy; however, it may be less optimal than other available alternatives. Reducing...
Flow control optimization in a jet engine serpentine inlet duct
Kumar, Abhinav
20090515T23:59:59.000Z
Computational investigations were carried out on an advanced serpentine jet engine inlet duct to understand the development and propagation of secondary flow structures. Computational analysis which went in tandem with experimental investigation...
None
20120224T23:59:59.000Z
GENI Project: Sandia National Laboratories is working with several commercial and university partners to develop software for market management systems (MMSs) that enable greater use of renewable energy sources throughout the grid. MMSs are used to securely and optimally determine which energy resources should be used to service energy demand across the country. Contributions of electricity to the grid from renewable energy sources such as wind and solar are intermittent, introducing complications for MMSs, which have trouble accommodating the multiple sources of price and supply uncertainties associated with bringing these new types of energy into the grid. Sandia’s software will bring a new, probabilitybased formulation to account for these uncertainties. By factoring in various probability scenarios for electricity production from renewable energy sources in real time, Sandia’s formula can reduce the risk of inefficient electricity transmission, save ratepayers money, conserve power, and support the future use of renewable energy.
Flow control optimization in a jet engine serpentine inlet duct
Kumar, Abhinav
20090515T23:59:59.000Z
in two locations for vortex liftoffs. The vortices at the first bend would have more time to diffuse and hence would be weaker at the engine face than the distortion caused due to the second bend, which would have traveled a shorter length. Hence... which have proven effective for many previous flow distortion problems. Flow control evolved from passive control techniques which included guide vanes and vortex generators. Though these methods are fairly effective, a need was realized for active...
Pollock, G.G.
19970128T23:59:59.000Z
Two power supplies are combined to control a furnace. A main power supply heats the furnace in the traditional manner, while the power from the auxiliary supply is introduced as a current flow through charged particles existing due to ionized gas or thermionic emission. The main power supply provides the bulk heating power and the auxiliary supply provides a precise and fast power source such that the precision of the total power delivered to the furnace is improved. 5 figs.
Pollock, George G. (San Ramon, CA)
19970101T23:59:59.000Z
Two power supplies are combined to control a furnace. A main power supply heats the furnace in the traditional manner, while the power from the auxiliary supply is introduced as a current flow through charged particles existing due to ionized gas or thermionic emission. The main power supply provides the bulk heating power and the auxiliary supply provides a precise and fast power source such that the precision of the total power delivered to the furnace is improved.
Finding Benefits by Modeling and Optimizing Steam and Power Systems
Jones, B.; Nelson, D.
20070101T23:59:59.000Z
A sitewide steam modeling and optimization program (Visual MESA) was implemented at the INEOS Chocolate Bayou site. This program optimizes steam production, compressor turbine extraction, pump operation (turbine/motor) operation, as well...
Finding Benefits by Modeling and Optimizing Steam and Power Systems
Jones, B.; Nelson, D.
20070101T23:59:59.000Z
A sitewide steam modeling and optimization program (Visual MESA) was implemented at the INEOS Chocolate Bayou site. This program optimizes steam production, compressor turbine extraction, pump operation (turbine/motor) operation, as well...
ParisSud XI, Université de
for optimal dispatching of power flows in a microgrid with storage. The investigated approach is based Scheduling and Sensitivity Analysis for Sizing a Microgrid with Storage. (2014) In: 11th International ANALYSIS FOR SIZING A MICROGRID WITH STORAGE R. RigoMariani1 , B. Sareni1 , X. Roboam1 1. Université de
An investigation of two network flow optimization algorithms
Steelquist, John Anders
19730101T23:59:59.000Z
in Chapter V. The program listing for the OutofKilter algorithm and the SUP ERKIL algorithm can be found in Appendix B and Appendix C. These algorithms are applied to network flow problems. Network flow problems are solved through the application... applications. [ [4 5 12 161 Some of these have clarified and extended the range of applications of the OutofKilter algorithm. Several computer codes have been written to apply the Outof Kilter algorithm to actual problems. The code used...
Artificial Neural Network for Optimized Power System Management
OLeary, Daniel Albert
20150101T23:59:59.000Z
ran S ¸ ahin. Short–midterm solar power prediction by usingof forecasting techniques for solar power production with noto improve short term solar power predictions. viii To my
Passive Acoustic Detection of Wind Turbine InFlow Conditions for Active Control and Optimization
Murray, Nathan E.
20120312T23:59:59.000Z
Wind is a significant source of energy; however, the human capability to produce electrical energy still has many hurdles to overcome. One of these is the unpredictability of the winds in the atmospheric boundary layer (ABL). The ABL is highly turbulent in both stable and unstable conditions (based on the vertical temperature profile) and the resulting fluctuations can have a dramatic impact on wind turbine operation. Any method by which these fluctuations could be observed, estimated, or predicted could provide a benefit to the wind energy industry as a whole. Based on the fundamental coupling of velocity fluctuations to pressure fluctuations in the nearly incompressible flow in the ABL, This work hypothesizes that a groundbased array of infrasonic pressure transducers could be employed to estimate the vertical wind profile over a height relevant for wind turbines. To analyze this hypothesis, experiments and field deployments were conducted. Wind tunnel experiments were performed for a thick turbulent boundary layer over a neutral or heated surface. Surface pressure and velocity probe measurements were acquired simultaneously. Two field deployments yielded surface pressure data from a 49 element array. The second deployment at the Reese Technology Center in Lubbock, TX, also included data from a smaller aperture, 96element array and a 200meter tall meteorological tower. Analysis of the data successfully demonstrated the ability to estimate the vertical velocity profile using coherence data from the pressure array. Also, dynamical systems analysis methods were successful in identifying and tracking a gust type event. In addition to the passive acoustic profiling method, this program also investigated a rapid response Doppler SODAR system, the optimization of wind turbine blades for enhanced power with reduced aeroacoustic noise production, and the implementation of a wireless health monitoring system for the wind turbine blades. Each of these other objectives was met successfully. The use of phase unwrapping applied to SODAR data was found to yield reasonable results for perpulse measurements. A health monitoring system design analysis was able to demonstrate the ability to use a very small number of sensors to monitor blade health based on the blade's overall structural modes. Most notable was the development of a multiobjective optimization methodology that successfully yielded an aerodynamic blade design that produces greater power output with reduced aerodynamic loading noise. This optimization method could be significant for future design work.
Optimal Power Control in CDMA Networks with Constraints on Outage Probability
ParisSud XI, Université de
power control al gorithm is developed for large systems of users. Simulation results are presented of this previous work deals with invariant channel models. Any power control scheme that attempts to follow fastOptimal Power Control in CDMA Networks with Constraints on Outage Probability John Papandriopoulos
Demirel, Melik C.
PENNSTATE Department of Mechanical and Nuclear Engineering Spring 2012 East Campus Power Plant Deaerator Optimization Overview In the East Campus Power plant a new Deaerator system has been installed. Approach Understand the innerworkings and operations of the power plant and the Deaerator system. Visit
Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System
Qiu, Qinru
Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System power management technique gives significantly better performance and energy tradeoff. 1. Introduction or hard disk. The power management hardware/software monitors the state transition in the system
Joint Power Control and Link Scheduling in Wireless Networks for Throughput Optimization
Huang, Jianwei
Joint Power Control and Link Scheduling in Wireless Networks for Throughput Optimization Liqun FuThis paper concerns the problem of finding the minimumlength TDMA frame of a powercontrolled wire less formulate the general joint link scheduling and power control problem as an in teger linear programming
OPTIMIZATION STRATEGIES FOR THE VULNERABILITY ANALYSIS OF THE ELECTRIC POWER GRID
Pinar, Ali
OPTIMIZATION STRATEGIES FOR THE VULNERABILITY ANALYSIS OF THE ELECTRIC POWER GRID ALI PINAR, JUAN would cause a severe blackout, is critical for the secure operation of the electric power grid. We show how power grid vulnerability analysis can be studied as a bilevel mixed integer nonlinear programming
Power Grid Optimization in 3D Circuits Using MIM and CMOS Decoupling Capacitors
Sapatnekar, Sachin
Power Grid Optimization in 3D Circuits Using MIM and CMOS Decoupling Capacitors Pingqiang Zhou severe in 3D. CMOS decoupling capacitors (decaps) have been used effectively for controlling power grid between MIM and CMOS decaps. Experimental results show that power grid noise can be more effectively
On the Network Lifetime of Wireless Sensor Networks Under Optimal Power Control
Nasipuri, Asis
On the Network Lifetime of Wireless Sensor Networks Under Optimal Power Control Amitangshu Pal In this paper we evaluate the effect of power control on the lifetime of wireless sensor networks the benefits of applying power control and the spatial variations of energy consumption in the network under
An Efficient Mechanism for Power Control Optimization in MBMS Enabled UTRAN
Bouras, Christos
An Efficient Mechanism for Power Control Optimization in MBMS Enabled UTRAN Antonios Alexiou@cti.gr AbstractThis paper proposes a power control mechanism for the efficient radio bearer selection combination of the above parameters is proposed. The proposed MBMS power control mechanism selects
Slow Admission and Power Control for Small Cell Networks via Distributed Optimization
ParisSud XI, Université de
Slow Admission and Power Control for Small Cell Networks via Distributed Optimization Siew Eng Nai on a largescale basis. In recent work, we developed the joint admission and power control algorithm for two of the joint admission and power control problem where the small cells can determine jointly
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 59, NO. 6, JUNE 2014 1495 Optimal Power Management in
Pappas, George J.
and the conventional linear quadratic regulator control cost. Since plant inputs and transmit powers are in general, networked control systems, power adaptation, wireless fading channels. I. INTRODUCTION THE networked controlIEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 59, NO. 6, JUNE 2014 1495 Optimal Power Management
Bulk CMOS Device Optimization for HighSpeed and UltraLow Power Operations
Nyathi, Jabulani
Bulk CMOS Device Optimization for HighSpeed and UltraLow Power Operations Brent Bero and Jabulani Interest in subthreshold design has increased due to the emergence of systems that require ultralow power creating a clear divide between designing for high speed and ultralow power. It might be beneficial
Time series power flow analysis for distribution connected PV generation.
Broderick, Robert Joseph; Quiroz, Jimmy Edward; Ellis, Abraham; Reno, Matthew J. [Georgia Institute of Technology, Atlanta, GA; Smith, Jeff [Electric Power Research Institute, Knoxville, TN; Dugan, Roger [Electric Power Research Institute, Knoxville, TN
20130101T23:59:59.000Z
Distributed photovoltaic (PV) projects must go through an interconnection study process before connecting to the distribution grid. These studies are intended to identify the likely impacts and mitigation alternatives. In the majority of the cases, system impacts can be ruled out or mitigation can be identified without an involved study, through a screening process or a simple supplemental review study. For some proposed projects, expensive and timeconsuming interconnection studies are required. The challenges to performing the studies are twofold. First, every study scenario is potentially unique, as the studies are often highly specific to the amount of PV generation capacity that varies greatly from feeder to feeder and is often unevenly distributed along the same feeder. This can cause locationspecific impacts and mitigations. The second challenge is the inherent variability in PV power output which can interact with feeder operation in complex ways, by affecting the operation of voltage regulation and protection devices. The typical simulation tools and methods in use today for distribution system planning are often not adequate to accurately assess these potential impacts. This report demonstrates how quasistatic time series (QSTS) simulation and high timeresolution data can be used to assess the potential impacts in a more comprehensive manner. The QSTS simulations are applied to a set of sample feeders with high PV deployment to illustrate the usefulness of the approach. The report describes methods that can help determine how PV affects distribution system operations. The simulation results are focused on enhancing the understanding of the underlying technical issues. The examples also highlight the steps needed to perform QSTS simulation and describe the data needed to drive the simulations. The goal of this report is to make the methodology of time series power flow analysis readily accessible to utilities and others responsible for evaluating potential PV impacts.
AN OPTIMIZATION APPROACH TO UNCERTAINTY PROPAGATION IN BOUNDARY LOAD FLOW
Stankoviæ, Aleksandar
.g., SCADA) and network parame ters. The method is potentially applicable to largescale power systems) possible errors in measurements (e.g., SCADA). Topological uncertainties are linked with the fidelity. On the other hand, errors in network parameters and in SCADA measurements tend to be smaller in size
Optimal Power Cost Management Using Stored Energy in Data Centers
Giles, C. Lee
the electricity bill of a data center constitutes a signif icant portion of its overall operational costs average electric utility bill in a data center. Us ing the technique of Lyapunov optimization, we develop an online control algorithm that can optimally exploit these devices to minimize the time average cost
Optimization of Chilled Water Flow and Its Distribution in Central Cooling System
Maheshwari, G. P.; Hajiah, A. E.; ElSherbini, A. I.
20070101T23:59:59.000Z
delivered to branch 3; the branch with maximum cooling load and proportionately deficient water flow, the same amount of water (10,000 l/m) it was receiving with three pumps, as shown in Table 2. This measure saved the power of one pump and reduced its.... 2b. Temperature rise in three branches for the adjusted flow with two pumps and six chillers in flow. Table 2. Original and Adjusted Flow with Two and Three Pumps and Six Chillers. l/m GPM % l/m GPM % l/m GPM % l/m GPM...
Optimization of the axial power shape in pressurized water reactors
Malik, Mushtaq Ahmad
19810101T23:59:59.000Z
Analytical and numerical methods have been applied to find the optimum axial power profile in a PWR with respect to uranium utilization. The preferred shape was found to have a large central region of uniform power density, ...
Optimal Power Grid Protection through A DefenderAttacker ...
20130805T23:59:59.000Z
Abstract. Power grid vulnerability is a major concern of our society, and its protection problem is often formulated as a trilevel ... tacks on electric power systems across the world. [24]. A study ... extensively discussed critical infrastructure pro.
Optimal monitoring and visualization of steady state power system operation
Xu, Bei
20090602T23:59:59.000Z
estimation becomes more critical. Recently, due to the development of new technology in high power electronics, new control and monitoring devices are becoming more popular in power systems. It is therefore necessary to investigate their models and integrate...
Optimal adaptive control of cascading power grid failures
Daniel Bienstock
20101217T23:59:59.000Z
Dec 17, 2010 ... Abstract: We describe experiments with parallel algorithms for computing adaptive controls for attenuating power grid cascading failures.
Optimal distributed power generation under network load constraints
Utrecht, Universiteit
, mainly because of the development of novel components for decentral power generation (solar panels, small wind turbines and heat pumps). This gives rise to the question how many units of each type (solar panel (DPG) refers to an electric power source such as solar, wind or combined heat power (CHP) connected
Optimal Power Train Design of a Hybrid Refuse Collector Vehicle
Paderborn, Universität
trains allow significant fuel saving. These power trains are very complex systems because of additional approach to find the best parameters for a fixed power train structure is presented. In Section II is performed in two steps. Firstly the structure of the hybrid power train is specified. Then the used
Dynamic Power Optimization Targeting User Delays in Interactive Systems
Zhong, Lin
. Such idle periods provide vast opportunities for dynamic power management (DPM) and voltage scaling (DVS management, user interfaces. I. INTRODUCTION Power has become a dominant concern for mobile com puting interacts with the Qtopia [2] Calculator on a Sharp Zaurus SL5500 PDA to compute (89 × 56) ÷ 45. The power
Wroblewski, David (Mentor, OH); Katrompas, Alexander M. (Concord, OH); Parikh, Neel J. (Richmond Heights, OH)
20090901T23:59:59.000Z
A method and apparatus for optimizing the operation of a power generating plant using artificial intelligence techniques. One or more decisions D are determined for at least one consecutive time increment, where at least one of the decisions D is associated with a discrete variable for the operation of a power plant device in the power generating plant. In an illustrated embodiment, the power plant device is a soot cleaning device associated with a boiler.
Birge, Jonathan R.
The optimization of phase distortion spectral power density is proposed as an alternative to GDD minimization of ultrafast cavity mirrors. This criterion is shown to minimize the detuning of cavity resonances from a uniform comb.
Incremental costs and optimization of incore fuel management of nuclear power plants
Watt, Hing Yan
19730101T23:59:59.000Z
This thesis is concerned with development of methods for optimizing the energy production and refuelling decision for nuclear power plants in an electric utility system containing both nuclear and fossilfuelled stations. ...
Optimal Power Control for Energy Harvesting Transmitters in an Interference Channel
Yener, Aylin
water filling algorithm. A practical distributed algorithm requiring only local energy harvestingOptimal Power Control for Energy Harvesting Transmitters in an Interference Channel Kaya harvesting transmit ters and two corresponding receivers are considered. Energy harvesting transmitters have
The impact of uncertainty on shape optimization of idealized bypass graft models in unsteady flow
Marsden, Alison L.
in the upstream proximal angle. The impact of cost function choice on the optimal solution was explored construction of a graft over a blocked blood vessel. Depending on the location and the underlying disease of surgical geometry on flow fields and hence wall shear stress WSS , oscillatory shear index OSI , wall
OPTIMAL CONTROL OF THERMALLY CONVECTED FLUID FLOWS \\Lambda K. ITO y AND S.S. RAVINDRAN y
OPTIMAL CONTROL OF THERMALLY CONVECTED FLUID FLOWS \\Lambda K. ITO y AND S.S. RAVINDRAN y Abstract. We examine the optimal control of stationary thermally convected fluid flows from the the oretical and numerical point of view. We use thermal convection as control mechanism, that is, control is effected
Performance and power optimization in VLSI physical design
Jiang, Zhanyuan
20081010T23:59:59.000Z
As VLSI technology enters the nanoscale regime, a great amount of efforts have been made to reduce interconnect delay. Among them, buffer insertion stands out as an effective technique for timing optimization. A dramatic ...
Automated Synthesis Tool for Design Optimization of Power Electronic Converters
Mirjafari, Mehran
20130109T23:59:59.000Z
moduleintegrated photovoltaic inverter is also optimized for efficiency, volume and reliability. An actual converter is constructed using commercial offtheshelf components. The converter design is chosen as close as possible to a point obtained...
Aerodynamic optimization of a solar powered race vehicle
Augenbergs, Peteris K
20060101T23:59:59.000Z
Aerodynamic optimization was performed on Tesseract, the MIT Solar Electric Vehicle Team's 20032005 solar car using Wind Tunnel 8 at Jacobs/Sverdrup Drivability Test Facility in Allen Park, MI. These tests include angle ...
DifferentialGeometric Methods: a Powerful Set of New Tools for Optimal Control
Sussmann, Hector
such as static and dynamic stabilization, linearÂquadratic control, linear timeÂoptimal control, various nonlinear systems â?? x = f(x; u), possibly linear in the control u, posssibly required to satisfy someDifferentialÂGeometric Methods: a Powerful Set of New Tools for Optimal Control H'ector J. Sussmann
Asymptotically Optimal PowerAware Routing for Multihop Wireless Networks with Renewable
Srikant, Rayadurgam
1 Asymptotically Optimal PowerAware Routing for Multihop Wireless Networks with Renewable Energy the performance of multihop radio networks in the presence of energy constraints, and design routing algorithms to optimally utilize the available energy. The energy model allows vastly different energy sources
Potkonjak, Miodrag
1 Optimizing the Output of a HumanPowered Energy Harvesting System with Miniaturization mechanical energy from human footstrikes and explore its configuration and control towards optimized energy output. Dielectric Elastomers (DEs) are highenergy density, soft, rubberlike material
Ferris, Michael C.
IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 23, NO. 3, AUGUST 2008 1469 Optimal Transmission Switching, power system economics, power transmission control, power transmission economics. NOMENCLATURE Indices optimal dispatch of generation and transmission topology to meet load as a mixed integer program (MIP
Power Supply Optimization in Sub130 nm Leakage Dominant Technologies Man L Mui Kaustav Banerjee a methodology for systematically optimizing the power supply voltage for maximizing the performance of VLSI cir cuits in technologies where leakage power is not an insignificant fraction of the total power
Designing Optimal Heat and Power Systems for Industrial Processes
Rutkowski, M. A.; Witherell, W. D.
Power Research Institute (EPRI) of Palo Alto, California. In the paper, the use of Pinch Technology as a tool for analyzing industrial processes is demonstrated along with proper simulation of a corresponding heat and power system. For each process...Xisting design to determine improvement opportunities. INTRODUCTION This paper presents the results of a study conducted for the Electric Power Research Institute (EPRI) by Linnhoff March. The objective of this study was to develop a methodology...
A Novel Power Flow Method for Long Term Frequency Stability Analysis
Yan, Wenjin
20130506T23:59:59.000Z
This thesis presents a novel approach for a power system to find a practical power flow solution when all the generators in the system have hit their real power output limits, such as some generator units shutting down or load outages. The approach...
A Multicore High Performance Computing Framework for Distribution Power Flow
Franchetti, Franz
ten years ago. However, due to the power wall of hardware design, from the beginning of this centuryA Multicore High Performance Computing Framework for Distribution Power Flow Tao Cui and Franz in power system, especially distribution system, and the advances in modern computing platform, we
A SetTheoretic Framework to Assess the Impact of Variable Generation on the Power Flow
Liberzon, Daniel
and load profile at a particular instant in time, is the fundamental tool used by power engineers for all possible electric power generation profiles arising from renewablebased electricity sources. In probabilistic power flow analysis (see, e.g., [1]), uncertainties in load and generation are modeled as random
A PowerLaw Formulation of Laminar Flow in Short Pipes Max Sherman
A PowerLaw Formulation of Laminar Flow in Short Pipes Max Sherman Indoor Environment Program ABSTRACT This report develops a theoretical description of the hydrodynamic relationship based on a power pipes can be described with a simple power law dependence on pressure, but that the exponent
A ZonotopeBased Method for Capturing the Effect of Variable Generation on the Power Flow
Liberzon, Daniel
of a power system; this uncertainty arises from the increasing penetration of renewable resources that the uncertain generation can take by a zonotope and propagate it through a linearized power flow model take values within a symmetric polytope. This uncertainty is propagated through the power system model
Randomized flow model and centrality measure for electrical power transmission network analysis
Boyer, Edmond
the vulnerability of electric power infrastructure systems [2, 3]. The focus of these types of studies is typically1 Randomized flow model and centrality measure for electrical power transmission network analysis. Centrality measures can then be coherently defined. An example of application to an electrical power
Power flow analysis for DC voltage droop controlled DC microgrids
Chaudhary, Sanjay
loss, such as photovoltaic panels, batteries, fuel cells, LEDs, and electronic loads, DC microgrids sharing and secondary voltage regulation can now be analytically studied, and specialized optimization of the DC microgrid, in term of systematic analysis, protection coordination design, network optimization
TwoStage Robust Power Grid Optimization Problem
20110102T23:59:59.000Z
which has a significant share of combined heat and power units. ... to a waste of available resources and violates the policy of utilizing renewable energy as ...
Artificial Neural Network for Optimized Power System Management
OLeary, Daniel Albert
20150101T23:59:59.000Z
load, and the diesel battery storage, they minimized the usebattery. A decision must be made about the use of power, given considerations about storage
Optimization Online  RealTime Dispatchability of Bulk Power ...
Wei Wei
20150316T23:59:59.000Z
Mar 16, 2015 ... RealTime Dispatchability of Bulk Power Systems with Volatile Renewable Generations. Wei Wei (weiwei04 ***at*** mails.tsinghua.edu.cn)
Reactive Power Management using Firefly and Spiral Optimization ...

20130908T23:59:59.000Z
1. ?. Abstract—Power System planning encompasses the concept of minimization of transmission losses keeping in mind the voltage stability and system ...
Optimization Online  The Worstcase Wind Power Scenario for ...
German MoralesEspaÃ±a
20140916T23:59:59.000Z
Sep 16, 2014 ... The Worstcase Wind Power Scenario for Adaptive Robust Unit Commitment Problems. German MoralesEspaÃ±a(gmorales ***at*** kth.se).
Zitney, S.E.
20070601T23:59:59.000Z
Emerging fossil energy power generation systems must operate with unprecedented efficiency and nearzero emissions, while optimizing profitably amid cost fluctuations for raw materials, finished products, and energy. To help address these challenges, the fossil energy industry will have to rely increasingly on the use advanced computational tools for modeling and simulating complex process systems. In this paper, we present the computational research challenges and opportunities for the optimization of fossil energy power generation systems across the plant lifecycle from process synthesis and design to plant operations. We also look beyond the plant gates to discuss research challenges and opportunities for enterprisewide optimization, including planning, scheduling, and supply chain technologies.
Optimal Design of Macrocells for Low Power and High Speed
Sapatnekar, Sachin
the power dissipation so as to avoid additional costs for cooling down electronic systems. In this context, controlling the power dissipation of integrated circuits is gaining increased importance. While progress for nonportable applications, as the system complexity increases, it is becoming more and more important to limit
Power Estimation and Optimization at the Logic Massoud Pedram
Pedram, Massoud
or on a multiplechip module. Unless power consumption is dramatically reduced, the resulting heat will limit is that excessive power consumption is becoming the limiting factor in integrating more transistors on a single chip at various levels. For example, at the algo rithmic level, correct data representation and choice
Application of Symbolic Analysis to Power and Ground Interconnect Optimization
Sapatnekar, Sachin
submicron levels · Vdd levels going down to conserve power · Power and Ground buses cannot be assumed to be perfect conductors · P&G buses must be designed carefully to ensure that supply voltage levels are maintained at appropriate levels. · Better CAD techniques needed for estimation of voltage drops in P&G buses
1346 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 23, NO. 3, AUGUST 2008 Optimal Transmission Switching
Ferris, Michael C.
switching in which upper limit on open lines is . I. INTRODUCTION I N large electric networks, transmission reasons.2 The Northeast Power Coordinating Council includes "switch out internal transmission lines1346 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 23, NO. 3, AUGUST 2008 Optimal Transmission Switching
A SelfOptimizing Embedded Microprocessor using a Loop Table for Low Power
Vahid, Frank
A SelfOptimizing Embedded Microprocessor using a Loop Table for Low Power Frank Vahid* and Ann describe an approach for a microprocessor to tune itself to its fixed application to reduce power in an embedded system. We define a basic architecture and methodology supporting a microprocessor self
HypoEnergy: Hybrid supercapacitorbattery powersupply optimization for Energy efficiency
HypoEnergy: Hybrid supercapacitorbattery powersupply optimization for Energy efficiency Azalia azalia@rice.edu, farinaz@rice.edu AbstractThis paper presents HypoEnergy, a framework for extending the hybrid batterysupercapacitor power supply life time. HypoEnergy combines high energy density
Optimal Power Procurement and Demand Response with QualityofUsage Guarantees
Huang, Longbo
1 Optimal Power Procurement and Demand Response with QualityofUsage Guarantees Longbo Huang, Jean the utility company to jointly perform power procurement and demand response so as to maximize the social are the inte gration of renewable energy technologies [1] and the design of efficient user demandresponse
ThermalAware Performance Optimization in Power Constrained Heterogeneous Data Centers
Maciejewski, Anthony A.
ThermalAware Performance Optimization in Power Constrained Heterogeneous Data Centers Abdulla M of data centers has been increasing at a rapid rate over the past few years. Many of these data centers experience physical limitations on the power needed to run the data center. This paper attempts to maximize
Utility Optimal Scheduling in Energy Cooperation Networks Powered by Renewable Energy
Utility Optimal Scheduling in Energy Cooperation Networks Powered by Renewable Energy Congshi Hu the problem of energy and data control in energy cooperation networks powered by renewable energy Stations (BSs) with renewable energy has been proved technically feasible [1]. However, the harvested
An Interactive Contextaware Power Management Technique for Optimizing Sensor Network Lifetime
Simunic, Tajana
An Interactive Contextaware Power Management Technique for Optimizing Sensor Network Lifetime an important event with desired fidelity). To that end, in this paper we propose a novel interactive power sensor data and system specifications (battery and solar panel specs, sensing and communication costs
Optimization and control of large power engineering systems (principal investigation results)
Belyaev, L.S.; Gorskii, Yu.M.; Krumm, L.A.; Makarov, A.A.; Merenkov, A.P.; Popyrin, L.S.; Rudenko, Yu.N.; Sher, I.A.
19800101T23:59:59.000Z
Principal scientific and practical results of investigations in the development of theory and methods of optimization and control of large power engineering systems, conducted under the scientific and methodological management of the USSR Academy of Sciences Scientific Council on complex problems of power engineering are characterized and the investigation development tasks are formulated. 52 refs.
Paper Number Sizing and Optimal Operation of a Power Split Hydraulic
Li, Perry Y.
Paper Number Sizing and Optimal Operation of a Power Split Hydraulic Hybrid Drive Train Felicitas sector. In hybrid vehicles energy is saved by regenerating kinetic energy while braking, by operating power sources that can directly or indirectly propel the vehicle. A hybrid vehicle saves energy in three
OPTIMIZED ENERGY ALLOCATION IN BATTERY POWERED IMAGE SENSOR Chao Yu, Gaurav Sharma
Sharma, Gaurav
OPTIMIZED ENERGY ALLOCATION IN BATTERY POWERED IMAGE SENSOR NETWORKS Chao Yu, Gaurav Sharma is obtained by deploying wireless, batterypowered image sensors. Each sensor camera provides coverage over investigate energy allocation strategies in image sensor networks for the purpose of maximizing the network
Finding Benefits by Modeling and Optimizing Steam and Power Systems
Harper, C.; Nelson, D. A.
20080101T23:59:59.000Z
operator is given optimal production targets to achieve from Visual MESA Online writing to the plants SCADA system. The OCC duty control engineer monitors Bayou’s operations and the online Visual MESA model and also runs offline models to analyze potential...
Flow Shop Scheduling with Peak Power Consumption Constraints
20120923T23:59:59.000Z
1.00. 1.00. 1.00. NA: for these instances, the ro ot. LP relaxations of the form ulations did not solve in less than. 5s. T able. 8: Average optimality gap for instances.
Kansas City Power & Light Energy Optimizer Programmable Thermostat Program
Broader source: Energy.gov [DOE]
Kansas City Power and Light (KCP&L) offers a free programmable thermostat and free installation to qualifying customers to manage energy usage. Only residential and small commercial customers...
Kansas City Power and Light Energy Optimizer Programmable Thermostat Program
Broader source: Energy.gov [DOE]
Kansas City Power and Light (KCP&L) offers a free Honeywell programmable thermostat, worth $300, and free installation to qualifying customers to manage energy usage. Only residential and small...
Artificial Neural Network for Optimized Power System Management
OLeary, Daniel Albert
20150101T23:59:59.000Z
and businesses with solar panels and wind turbines). MostMany homes now have solar panels that produce power, anda solar tracker, six solar panels, a computer, and several
Designing Optimal Heat and Power Systems for Industrial Processes
Rutkowski, M. A.; Witherell, W. D.
19880101T23:59:59.000Z
Industrial heat and power systems are complex and not fully understood as integrated systems. Within the context of the overall manufacturing process, they represent enormous capital investments and substantially contribute to the total operating...
Adaptive primary side control for a wireless power transfer optimization
Bogoda, Thilani Imanthika Dissanayake
20120101T23:59:59.000Z
A resonant inductive wireless power transfer system, consisting of a primary (transmitter) circuit and secondary (receiver) circuit, was designed and implemented. This document also contains a novel indirect feedback method ...
Optimal structure of US power transmission system for targeted investments
Okunev, Alexander, 1957
20040101T23:59:59.000Z
This thesis analyses the historical development and deregulation of the U.S. Electrical Power Industry and its impact on the structure of Transmission System. The results of introducing competition in generation and creating ...
ILP and Iterative LP Solutions for Peak and Average Power Optimization in HLS
Ramanujam, J. "Ram"
. Ramanujam2 1 Electrical Engineering Dept., Assiut University, Egypt 2 Electrical and Computer Engineering as average power and energy consumptions. As the design problem becomes large, exact solution takesflow graph (DFG) executes. We define Scheduling for Low Power and Energy (SLoPE) in highlevel synthesis
Compatibility Study of CompileTime Optimizations for Power and Reliability
systems performance. However, for a wide range of today's power restricted, battery oper ated embedded, reliability is the most significant design issue. Moreover, the limited battery capacities of such devices, the instruction flow at run time can be adjusted to achieve a desirable tradeoff between reliability, power
Free Flow Power Partners to Improve Hydrokinetic Turbine Performance...
Office of Environmental Management (EM)
as the device performed as expected, with no discernible harm to riverdwelling fish. Free Flow has also completed preliminary designs of utilityscale installations at a...
Assessment of microwave power flow for reflectometry measurements in tokamak plasmas
Gourdain, PA; Peebles, W. A.
20080101T23:59:59.000Z
of incident and reflected microwave rays for Omode and XAssessment of microwave power flow for reflectometryLos Angeles, CA 900951547 Microwave diagnostics, such as
Analysis of operating data related to power and flow distribution in a PWR
Herbin, Henry Christophe
19740101T23:59:59.000Z
The analysis of the effects of the uncertainties associated with temperature and power measurements in the Connecticut Yankee Reactor leads to the evaluation of the uncertainty associated with the effective flow factor. ...
An Equivalent Network for LoadFlow Analysis of Power Systems
Johnson, Merion Luke
19600101T23:59:59.000Z
AN EQUIVALENT NETWORK FOR LOADFLOW ANALYSIS OF POWER SYSTEMS A Thesis by Meri on L. Johnson Submitted to the Graduate School of the Agricultural and Mechanical College of Texas in partihl fulfillment of the requirements for the degree...
Towards optimizing the efficiency of electrical power generation
AlZubaidy, S. [Univ. Malaysia Sarawak (Malaysia). Faculty of Engineering; Bhinder, F.S. [Univ. of Hertfordshire, Hatfield (United Kingdom)
19961231T23:59:59.000Z
The thermal efficiency of a gas turbine engine, which ranges between 28% to 33%, may be raised by recovering some of the low grade thermal energy from the exhaust gas to heat the high pressure air leaving the compressor. The overall thermal efficiency of a combined power and power (CCP) cogeneration plant can be raised to about 60%. This is twice the value that may be reached by a modern gas turbine and nearly one and a half times the value that may be reached by a modern steam turbine. The work presented in this paper is an initial and preliminary study of a sponsored project that examines the effect of design parameters on overall performance of the power cycle with the view of producing a code that enables researchers to produce a complete computer simulation of the CCP for the purpose of developing control strategies.
Smart Grid Application of Optimal Transmission Switching
Ferris, Michael C.
;6 Introduction continued Electric Transmission Network Flow Problem Optimal Power Flow (OPF) AlternatingSmart Grid Application of Optimal Transmission Switching By, Kory W. Hedman, et al.* University (Professor, UC Berkeley) #12;2 Motivation Cooptimize transmission topology and generation dispatch
Optimized Jacobian Matrix Solution of a generalized electric power network
Moore, Jimmie Archer
19700101T23:59:59.000Z
the logic described in Appendix 2. The remain~. ng logic formulation has been discussed in Chapter II. CHAPTER IV CONCEVSIONS T\\1e technique presented in this paper will solve any electrica' system rot containing voltage regulated bus es in about four..., until a technique of maintaining the renumbered system instead of the originally numbered system can be developeo. , the Gauss Seidel technique remains clearly superior for the average electrica network requiring pcwer flow analysis. However...
Optimal investment on finite horizon with random discrete order flow in illiquid markets
ParisSud XI, Université de
both on trading and observation of the assets. For example, in power markets, trading occurs through at any time but trading occurs more frequently near a terminal horizon. The investor can observe and trade the risky asset only at exogenous random times corresponding to the order flow given
Journal of Power Sources 128 (2004) 5460 Microfluidic fuel cell based on laminar flow
Kenis, Paul J. A.
20040101T23:59:59.000Z
Journal of Power Sources 128 (2004) 5460 Microfluidic fuel cell based on laminar flow Eric R a novel microfluidic fuel cell concept that utilizes the occurrence of multistream laminar flow turbulent mixing. Preliminary results indicate that this novel fuel cell concept may lead to the development
The Hybrid Power Flow Controller A New Concept for Flexible AC Transmission
Lehn, Peter W.
large and costly projects. Over the years, environmental, rightofway, and cost prob lems have delayedThe Hybrid Power Flow Controller A New Concept for Flexible AC Transmission Jovan Z. Bebic Electric flow controller topologies are proposed for flexible AC transmission systems (FACTS). The first one
NewtonKrylov Methods in Power Flow and Contingency Analysis
Vuik, Kees
for the generation, transmission, and distribution of electrical energy. Power systems are considered to be the largest and most complex manmade systems. As electrical energy is vital to our society, power systems are calculated given the generation and consumption. In contingency analysis, equipment outages are simulated
Voltage multistability in distribution grids with power flow reversal
Hung D. Nguyen; Konstantin Turitsyn
20140708T23:59:59.000Z
High levels of penetration of distributed generation and aggressive reactive power compensation with modern power electronics may result in the reversal of active and reactive power flows in future distribution grids. The voltage stability of these operating conditions may be very different from the more traditional power consumption regime. We study the stability characteristics of distribution networks with reversed power flow. After introducing a universal algebraic approach to characterize all the solutions of the power flow equations, we show that new solutions appear in the reversed power flow regime even in the simplest three bus systems. We show that the some of these solutions are stable and the system may exhibit a phenomenon of multistability, where multiple stable equilibria coexist at the given set of parameters, and the system may converge to an undesirable equilibrium after a disturbance. These predictions are validated with dynamic simulations of two different systems. Under certain conditions the new states are viable and may be characterized by relatively high voltages. Possible approaches towards reactive power/voltage regulation as well as permissible distributed generation capacity in future power systems are proposed and discussed in the end of the paper.
Urgaonkar, Bhuvan
1 A Hierarchical Demand Response Framework for Data Center Power Cost Optimization Under Real for optimizing their utility bills. Our focus is on a subset of this work that carries out demand response (DR
Throughput Optimal Policies for Energy Harvesting Wireless Transmitters with NonIdeal Circuit Power
Xu, Jie
20120101T23:59:59.000Z
Characterizing the fundamental tradeoffs for maximizing energy efficiency (EE) versus spectrum efficiency (SE) is a key problem in wireless communication. In this paper, we address this problem for a pointtopoint additive white Gaussian noise (AWGN) channel with the transmitter powered solely via energy harvesting from the environment. In addition, we assume a practical onoff transmitter model with nonideal circuit power, i.e., when the transmitter is on, its consumed power is the sum of the transmit power and a constant circuit power. Under this setup, we study the optimal transmit power allocation to maximize the average throughput over a finite horizon, subject to the timevarying energy constraint and the nonideal circuit power consumption. First, we consider the offline optimization under the assumption that the energy arrival time and amount are a priori known at the transmitter. Although this problem is nonconvex due to the nonideal circuit power, we show an efficient optimal solution that in g...
Optimization Applications in the Energy and Power Industries November 2009
McCalley, James D.
emission generation, especially nuclear and "clean coal"; and shifting transportation from fossil fuels to electricity, electric lighting and cooking appliances, as well as modern conveniences such as televisions, computers and power industries. Even so, many have come to associate these industries with waste and pollution
Method of optimizing performance of Rankine cycle power plants
Pope, William L. (Walnut Creek, CA); Pines, Howard S. (El Cerrito, CA); Doyle, Padraic A. (Oakland, CA); Silvester, Lenard F. (Richmond, CA)
19820101T23:59:59.000Z
A method for efficiently operating a Rankine cycle power plant (10) to maximize fuel utilization efficiency or energy conversion efficiency or minimize costs by selecting a turbine (22) fluid inlet state which is substantially in the area adjacent and including the transposed critical temperature line (46).
Optimal monitoring and visualization of steady state power system operation
Xu, Bei
20090602T23:59:59.000Z
observable islands. To guard against unexpected failures of PMUs, the numerical method is extended to account for single PMU loss. In the last part of this dissertation, a 3D graphic user interface for power system analysis is developed. It supports two basic...
ENERGY PAYBACK OPTIMIZATION OF THERMOELECTRIC POWER GENERATOR SYSTEMS
in distributed power generation and waste heat recovery. Thermoelectrics, due to their moderate energy conversion resistance match with the internal resistance and the thermal resistance match with the heat source and the heat sink. Thermoelectric element aspect ratio and fill factor are found to be key parameters
Optimization of a TwoFluid Hydrodynamic Model of ChurnTurbulent Flow
Donna Post Guillen
20090701T23:59:59.000Z
A hydrodynamic model of twophase, churnturbulent flows is being developed using the computational multiphase fluid dynamics (CMFD) code, NPHASECMFD. The numerical solutions obtained by this model are compared with experimental data obtained at the TOPFLOW facility of the Institute of Safety Research at the Forschungszentrum DresdenRossendorf. The TOPFLOW data is a high quality experimental database of upward, cocurrent airwater flows in a vertical pipe suitable for validation of computational fluid dynamics (CFD) codes. A fivefield CMFD model was developed for the continuous liquid phase and four bubble size groups using mechanistic closure models for the ensembleaveraged NavierStokes equations. Mechanistic models for the drag and nondrag interfacial forces are implemented to include the governing physics to describe the hydrodynamic forces controlling the gas distribution. The closure models provide the functional form of the interfacial forces, with user defined coefficients to adjust the force magnitude. An optimization strategy was devised for these coefficients using commercial design optimization software. This paper demonstrates an approach to optimizing CMFD model parameters using a design optimization approach. Computed radial void fraction profiles predicted by the NPHASECMFD code are compared to experimental data for four bubble size groups.
Optimization Studies for ISOL Type HighPowered Targets
Remec, Igor [Oak Ridge National Laboratory] [Oak Ridge National Laboratory; Ronningen, Reginald Martin [Michigan State University] [Michigan State University
20130924T23:59:59.000Z
The research studied onestep and twostep Isotope Separation on Line (ISOL) targets for future radioactive beam facilities with high driverbeam power through advanced computer simulations. As a target material uranium carbide in the form of foils was used because of increasing demand for actinide targets in rareisotope beam facilities and because such material was under development in ISAC at TRIUMF when this project started. Simulations of effusion were performed for onestep and two step targets and the effects of target dimensions and foil matrix were studied. Diffusion simulations were limited by availability of diffusion parameters for UCx material at reduced density; however, the viability of the combined diffusion?effusion simulation methodology was demonstrated and could be used to extract physical parameters such as diffusion coefficients and effusion delay times from experimental isotope release curves. Dissipation of the heat from the isotopeproducing targets is the limiting factor for highpower beam operation both for the direct and twostep targets. Detailed target models were used to simulate proton beam interactions with the targets to obtain the fission rates and power deposition distributions, which were then applied in the heat transfer calculations to study the performance of the targets. Results indicate that a direct target, with specification matching ISAC TRIUMF target, could operate in 500MeV proton beam at beam powers up to ~40 kW, producing ~8 1013 fission/s with maximum temperature in UCx below 2200 C. Targets with larger radius allow higher beam powers and fission rates. For the target radius in the range 9mm to 30mm the achievable fission rate increases almost linearly with target radius, however, the effusion delay time also increases linearly with target radius.
G AragonGonzalez; A. CanalesPalma; A. LeonGalicia; J. R. MoralesGomez
20070129T23:59:59.000Z
In this work we include, for the Carnot cycle, irreversibilities of linear finite rate of heat transferences between the heat engine and its reservoirs, heat leak between the reservoirs and internal dissipations of the working fluid. A first optimization of the power output, the efficiency and ecological function of an irreversible Carnot cycle, with respect to: internal temperature ratio, time ratio for the heat exchange and the allocation ratio of the heat exchangers; is performed. For the second and third optimizations, the optimum values for the time ratio and internal temperature ratio are substituted into the equation of power and, then, the optimizations with respect to the cost and effectiveness ratio of the heat exchangers are performed. Finally, a criterion of partial optimization for the class of irreversible Carnot engines is herein presented.
AragonGonzalez, G; LeonGalicia, A; MoralesGomez, J R
20070101T23:59:59.000Z
In this work we include, for the Carnot cycle, irreversibilities of linear finite rate of heat transferences between the heat engine and its reservoirs, heat leak between the reservoirs and internal dissipations of the working fluid. A first optimization of the power output, the efficiency and ecological function of an irreversible Carnot cycle, with respect to: internal temperature ratio, time ratio for the heat exchange and the allocation ratio of the heat exchangers; is performed. For the second and third optimizations, the optimum values for the time ratio and internal temperature ratio are substituted into the equation of power and, then, the optimizations with respect to the cost and effectiveness ratio of the heat exchangers are performed. Finally, a criterion of partial optimization for the class of irreversible Carnot engines is herein presented.
Qiu, Qinru
1 Stochastic Modeling of a PowerManaged System: Construction and Optimization Qinru Qiu, Qing Wu, CA 90089 Abstract  The goal of a dynamic power management policy is to reduce the power consumption of a powermanaged electronic system. We formulate the problem of systemlevel power management
Interline Photovoltaic (IPV) power system  A novel concept of power flow control and management
Khadkikar, Vinod
This paper presents a new system configuration for a largescale Photovoltaic (PV) power system with multiline transmission/distribution networks. A PV power plant is reconfigured in a way that two adjacent power system ...
Inexactness of SDP Relaxation and Valid Inequalities for Optimal ...
20141218T23:59:59.000Z
Dec 18, 2014 ... the optimal power flow problem over radial networks is exact under ...... Annual Allerton Conference on Communication, Control, and Com.
Optimization Online  Information Gap Decision Theory Based OPF ...
rabiee abbas
20150103T23:59:59.000Z
Jan 3, 2015 ... Abstract: A method for solving the optimal power flow (OPF) problem including HVDC connected offshore wind farms is presented in this paper.
Nitinol Heat Engine power plant system installation and cost optimization
Cady, E.C.; McNichols, J.L.
19840801T23:59:59.000Z
Nitinol Heat Engines (NHE) use a shape memory alloy of nickel and titanium to directly convert the thermal energy in hot water to mechanical power (and, through a generator, to electricity). The authors designed a commercial version of a NHE based on the thermoturbine configuration developed in prototype form under contract to the Department of Energy in 19781980. The operation and cost of various forms of NHE have been described previously, but the penalties and costs associated with integrating the complete NHE system into installations supplying the thermal energy have not previously been determined. They found that these costs are most important, as they will often exceed the costs of the NHE proper. However, the total installed costs are quite low and result in very economical power from wasteheat or geothermal hotwater sources.
Power Flow Analysis Algorithm for Islanded LV Microgrids Including Distributed Generator Units with
Chaudhary, Sanjay
Power Flow Analysis Algorithm for Islanded LV Microgrids Including Distributed Generator Units With larger portion of growing electricity demand which is being fed through distributed generation (DG power system. Being able to operate in both gridconnected and islanded mode, a microgrid manages
IEEE TRANSACTIONS ON POWER SYSTEMS 1 AbstractThis paper proposes a new approach to model
Cañizares, Claudio A.
markets. Index TermsNeural network, optimal power flow, power system security, power system stability. IIEEE TRANSACTIONS ON POWER SYSTEMS 1 AbstractThis paper proposes a new approach to model stability and security constraints in Optimal Power Flow (OPF) problems based on a Neural Network (NN
Determining Optimal Equipment Capacities in Cooling, Heating and Power (CHP) Systems
DeVault, Robert C [ORNL; Hudson II, Carl Randy [ORNL
20060101T23:59:59.000Z
Evaluation of potential cooling, heating and power (CHP) applications requires an assessment of the operations and economics of a particular system in meeting the electric and thermal demands of a specific enduse facility. A key determinate in whether a candidate system will be economic is the proper selection of equipment capacities. A methodology to determine the optimal capacities for CHP prime movers and absorption chillers using nonlinear optimization algorithms has been coded into a Microsoft Excel spreadsheet tool that performs the capacity optimization and operations simulation. This paper presents details on the use and results of this publicly available tool.
Kusiak, Andrew
1 AbstractA biobjective optimization model of power and power changes generated by a wind prediction, power ramp rate, data mining, wind turbine operation strategy, generator torque, blade pitch to variations in wind speed, wind farms exhibit different characteristics from conventional power plants. Two
Comaskey, Brian J. (Walnut Creek, CA); Ault, Earl R. (Livermore, CA); Kuklo, Thomas C. (Oakdale, CA)
20050705T23:59:59.000Z
A high average power, low optical distortion laser gain media is based on a flowing liquid media. A diode laser pumping device with tailored irradiance excites the laser active atom, ion or molecule within the liquid media. A laser active component of the liquid media exhibits energy storage times longer than or comparable to the thermal optical response time of the liquid. A circulation system that provides a closed loop for mixing and circulating the lasing liquid into and out of the optical cavity includes a pump, a diffuser, and a heat exchanger. A liquid flow gain cell includes flow straighteners and flow channel compression.
Power flow tracing in a simplified highly renewable European electricity network
Tranberg, Bo; Rodriguez, Rolando A; Andresen, Gorm B; Schäfer, Mirko; Greiner, Martin
20150101T23:59:59.000Z
The increasing transmission capacity needs in a future energy system raise the question how associated costs should be allocated to the users of a strengthened power grid. In contrast to straightforward oversimplified methods, a flow tracing based approach provides a fair and consistent nodal usage and thus cost assignment of transmission investments. This technique follows the power flow through the network and assigns the link capacity usage to the respective sources or sinks using a diffusionlike process, thus taking into account the underlying network structure and injection pattern. As a showcase, we apply power flow tracing to a simplified model of the European electricity grid with a high share of renewable wind and solar power generation, based on longterm weather and load data with an hourly temporal resolution.
Application of the Moment–SOS Approach to Global Optimization of ...
20131119T23:59:59.000Z
Nov 18, 2013 ... Finding a global solution to the optimal power flow (OPF) problem is difficult due to ... The optimal power flow (OPF) gives its name to a problem pertaining to power systems ... set whose definition is sufficiently general to model a large variety of ...... In Power System Stability and Control, pages 245–249.
Optimality of binary powercontrol in a single cell via majorization
Inaltekin, Hazer
20110101T23:59:59.000Z
This paper considers the optimum single cell powercontrol maximizing the aggregate (uplink) communication rate of the cell when there are peak power constraints at mobile users, and a lowcomplexity data decoder (without successive decoding) at the base station. It is shown, via the theory of majorization, that the optimum power allocation is binary, which means links are either "on" or "off". By exploiting further structure of the optimum binary power allocation, a simple polynomialtime algorithm for finding the optimum transmission power allocation is proposed, together with a reduced complexity nearoptimal heuristic algorithm. Sufficient conditions under which channelstate aware timedivisionmultipleaccess (TDMA) maximizes the aggregate communication rate are established. Finally, a numerical study is performed to compare and contrast the performance achieved by the optimum binary powercontrol policy with other suboptimum policies and the throughput capacity achievable via successive decoding. It i...
Online Capable Optimized Planning of Power Split in a Hybrid Energy Storage System
Paderborn, Universität
Online Capable Optimized Planning of Power Split in a Hybrid Energy Storage System Karl Stephan, D33095 Paderborn (Germany) {stille,romaus,boecker}@lea.upb.de AbstractA hybrid energy storage system is an energy storage consisting of more than one type of energy storages combining
Popov, Branko N.
20040101T23:59:59.000Z
ion battery with commercial super capacitors using impedance measurement were car ried out by Chu and Braatz and the battery system were compared under a similar set of operating parameters. 2. Experimental A Sony US 18650Journal of Power Sources 134 (2004) 130138 Performance optimization of a batterycapacitor hybrid
Optimal Power Allocation and Load Distribution for Multiple Heterogeneous Multicore Server
Stojmenovic, Ivan
clouds and data centers, the aggregated performance of the cloud of clouds can be optimized by load processor, power allocation, queuing model, response time Ç 1 INTRODUCTION 1.1 Motivation CLOUD computing, software, databases, information, and all re sources are provided to users ondemand. In a data center
JOINT OPTIMIZATION OF SOURCE CODING AND POWER ALLOCATION IN SENSOR Jun Yuan and Wei Yu
Yu, Wei
JOINT OPTIMIZATION OF SOURCE CODING AND POWER ALLOCATION IN SENSOR NETWORKS Jun Yuan and Wei Yu and correlated, the network performance becomes a complicated and nonseparable function of all individual data allocation in a sensor network. We model the sensor network from an information theoretical perspective
Prediction Models for Multidimensional PowerPerformance Optimization on Many Cores
Nikolopoulos, Dimitris
Livermore National Laboratory Livermore, CA 94551 {bronis,schulzm}@llnl.gov ABSTRACT Power has become multaneous DVFS and DCT controllers in real systems and parallel programming frameworks. We present a multiaware program adaptation knobs that we consider. Our overall runtime optimization frame work achieves
Optimal Contract for Wind Power in DayAhead Electricity Markets
Adlakha, Sachin
Introduction The insatiable appetite for energy as well as concerns for global warming have led to greater the impact of uncertain production in electricity markets. Current electricity markets consist of primarilyOptimal Contract for Wind Power in DayAhead Electricity Markets Desmond W. H. Cai1 Sachin Adlakha2
Capacity Optimizing Power Loading Scheme for Spatially Constrained Antenna Arrays: Channels
Abhayapala, Thushara D.
Capacity Optimizing Power Loading Scheme for Spatially Constrained Antenna Arrays: Channels and Computer Science The Australian National University Canberra ACT 0200, Australia {tharaka.lamahewa,thushara.abhayapala}@anu.edu.au Tony S. Pollock National ICT Australia Locked Bag 8001, Canberra ACT 2601, Australia tony
Optimization of Power in the Problems of Active Control of Sound ?
Optimization of Power in the Problems of Active Control of Sound ? J. Lon#20;cari#19;c 1 Los Alamos dered by active means, i.e., by introducing the additional acoustic sources called controls that generate the appropriate antisound. Previously, we have obtained general solutions for active controls
Optimization of Power in the Problems of Active Control of Sound
Optimization of Power in the Problems of Active Control of Sound J. Loncari´c 1 Los Alamos National, i.e., by introducing the additional acoustic sources called controls that generate the appropriate antisound. Previously, we have obtained general solutions for active controls in both continuous
Optimization and Visualization of the North American Eastern Interconnect Power Market
insight (1776) that competition is limited by the size of the market, FERC decreed in December 1999Optimization and Visualization of the North American Eastern Interconnect Power Market Douglas R. Hale DHALE@eia.doe.gov U.S. Energy Information Agency Washington, DC 20585 USA Thomas J. Overbye
Flight Path and Wing Optimization of LithiumAir Battery Powered Passenger Aircraft
Alonso, Juan J.
in the design of electricallydriven aircraft, particularly in the case of fuel cells and batteries.57 One to implement vis. a vis. fuel cells, in particular, liquid hydrogen fuel cells. However, presentday batteryFlight Path and Wing Optimization of LithiumAir Battery Powered Passenger Aircraft J. Michael Vegh
Optimizing the Configuration and Control of a Novel HumanPowered Energy Harvesting System
Potkonjak, Miodrag
. For example, a hydraulicamplified piezoelectric based footstrike energy harvesting system was proposedOptimizing the Configuration and Control of a Novel HumanPowered Energy Harvesting System Vishwa and energy efficient design, sampling, processing and communication techniques emerge to counter these issues
Optimal Design of PowerSplit Transmissions for Hydraulic Hybrid Passenger Vehicles
Li, Perry Y.
whenever it is turned on. However, all the energy is transmitted through the hydraulic pump/motors which motor/generators are connected to energy storage devices (hydraulic accumulators or electric batteriesOptimal Design of PowerSplit Transmissions for Hydraulic Hybrid Passenger Vehicles Kai Loon Cheong
An EnergyFlow Model for SelfPowered Routers and its Application for EnergyAware Routing
BeldingRoyer, Elizabeth M.
An EnergyFlow Model for SelfPowered Routers and its Application for EnergyAware Routing Veljko of electrical energy. Depen dence on renewable energy sources and variable power consump tion makeflow model, Poweraware routing 1. INTRODUCTION The map of the information world is highly polarized: only 5
Turitsyn, Konstantin; Backhaus, Scott; Chertkov, Michael
20090101T23:59:59.000Z
We show how distributed control of reactive power can serve to regulate voltage and minimize resistive losses in a distribution circuit that includes a significant level of photovoltaic (PV) generation. To demonstrate the technique, we consider a radial distribution circuit with a single branch consisting of sequentiallyarranged residentialscale loads that consume both real and reactive power. In parallel, some loads also have PV generation capability. We postulate that the inverters associated with each PV system are also capable of limited reactive power generation or consumption, and we seek to find the optimal dispatch of each inverter's reactive power to both maintain the voltage within an acceptable range and minimize the resistive losses over the entire circuit. We assume the complex impedance of the distribution circuit links and the instantaneous load and PV generation at each load are known. We compare the results of the optimal dispatch with a suboptimal local scheme that does not require any com...
Powell, Warren B.
IEEE TRANS. ON POWER SYSTEMS, VOL. XX, NO. X, DECEMBER XXXX 1 Tutorial on Stochastic Optimization of a twopart tutorial designed to clarify the modeling of sequential, stochastic optimization (control canonical model for sequential stochastic optimization (control) prob lems. In our presentation, we
Online Optimal Control of Connected Vehicles for Efficient Traffic Flow at Merging Roads
RiosTorres, Jackeline [ORNL; Malikopoulos, Andreas [ORNL; Pisu, Pierluigi [Clemson University
20150101T23:59:59.000Z
This paper addresses the problem of coordinating online connected vehicles at merging roads to achieve a smooth traffic flow without stopandgo driving. We present a framework and a closedform solution that optimize the acceleration profile of each vehicle in terms of fuel economy while avoiding collision with other vehicles at the merging zone. The proposed solution is validated through simulation and it is shown that coordination of connected vehicles can reduce significantly fuel consumption and travel time at merging roads.
Song, Yi
20110101T23:59:59.000Z
In a cognitive radio (CR) network, CR users intend to operate over the same spectrum band licensed to legacy networks. A tradeoff exists between protecting the communications in legacy networks and maximizing the throughput of CR transmissions, especially when CR links are unstable due to the mobility of CR users. Because of the nonzero probability of false detection and implementation complexity of spectrum sensing, in this paper, we investigate a sensingfree spectrum sharing scenario for mobile CR ad hoc networks to improve the frequency reuse by incorporating the location awareness capability in CR networks. We propose an optimal power control algorithm for the CR transmitter to maximize the concurrent transmission region of CR users especially in mobile scenarios. Under the proposed power control algorithm, the mobile CR network achieves maximized throughput without causing harmful interference to primary users in the legacy network. Simulation results show that the proposed optimal power control algori...
Stochastic optimization methods for extracting cosmological parameters from CMBR power spectra
Steen Hannestad
19991117T23:59:59.000Z
The reconstruction of the CMBR power spectrum from a map represents a major computational challenge to which much effort has been applied. However, once the power spectrum has been recovered there still remains the problem of extracting cosmological parameters from it. Doing this involves optimizing a complicated function in a many dimensional parameter space. Therefore efficient algorithms are necessary in order to make this feasible. We have tested several different types of algorithms and found that the technique known as simulated annealing is very effective for this purpose. It is shown that simulated annealing is able to extract the correct cosmological parameters from a set of simulated power spectra, but even with such fast optimization algorithms, a substantial computational effort is needed.
SumRate Optimal Power Policies for Energy Harvesting Transmitters in an Interference Channel
Tutuncuoglu, Kaya
20110101T23:59:59.000Z
This paper considers a twouser Gaussian interference channel with energy harvesting transmitters. Different than conventional battery powered wireless nodes, energy harvesting transmitters have to adapt transmission to availability of energy at a particular instant. In this setting, the optimal power allocation problem to maximize sum throughput within a given deadline is formulated. The convergence of the proposed iterative coordinate descent method for the problem is proved and the shortterm throughput maximizing offline power allocation policy is found. Examples for interference regions with known sum capacities are given with directional waterfilling interpretations when possible. Next, stochastic data arrivals are addressed. Finally online and/or distributed nearoptimal policies are proposed. Performance of the proposed algorithms are demonstrated through simulations.
Zhou, Jijun
20010101T23:59:59.000Z
's steam cycle from the EOP program (Sega 1998b). Four steam boilers (named internally as boilers ?8, ?9, ?10 and ?11) contribute to the 600psig steam header, using natural gas as fuel. Electricity is generated by three steam turbine generators... water pumps, boiler feed water pumps, steam evaporators, boiler feed water deaerators, and other auxiliary plant devices. The gas turbine is the main electricity generation unit in the power plant, with its capacity of 15 MW. The high temperature...
Zhou, Jijun
20010101T23:59:59.000Z
production of power (either electrical or mechanical) and useful heat (e. g. , process steam), with the heat rejection of one process thus becoming an energy input to a subsequent process, all with the same This thesis follows the style and format of rt... cogeneration plant are straightforward: supply the energy users with uninterrupted heating, cooling and electricity by using the most efficient load combination of boilers, turbines, chillers, pumps, and perhaps, purchased electricity. Although simple...
Optimization of the output and efficiency of a high power cascaded arc hydrogen plasma source
Vijvers, W. A. J.; Gils, C. A. J. van; Goedheer, W. J.; Meiden, H. J. van der; Veremiyenko, V. P.; Westerhout, J.; Lopes Cardozo, N. J.; Rooij, G. J. van [FOMInstitute for Plasma Physics Rijnhuizen, Association EURATOMFOM, Trilateral Euregio Cluster, P.O. Box 1207, 3430 BE Nieuwegein (Netherlands); Schram, D. C. [Department of Applied Physics, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven (Netherlands)
20080915T23:59:59.000Z
The operation of a cascaded arc hydrogen plasma source was experimentally investigated to provide an empirical basis for the scaling of this source to higher plasma fluxes and efficiencies. The flux and efficiency were determined as a function of the input power, discharge channel diameter, and hydrogen gas flow rate. Measurements of the pressure in the arc channel show that the flow is well described by Poiseuille flow and that the effective heavy particle temperature is approximately 0.8 eV. Interpretation of the measured IV data in terms of a oneparameter model shows that the plasma production is proportional to the input power, to the square root of the hydrogen flow rate, and is independent of the channel diameter. The observed scaling shows that the dominant power loss mechanism inside the arc channel is one that scales with the effective volume of the plasma in the discharge channel. Measurements on the plasma output with Thomson scattering confirm the linear dependence of the plasma production on the input power. Extrapolation of these results shows that (without a magnetic field) an improvement in the plasma production by a factor of 10 over where it was in van Rooij et al. [Appl. Phys. Lett. 90, 121501 (2007)] should be possible.
Drouilhet, S. M.
19990729T23:59:59.000Z
This paper is intended as an introduction to some of the control challenges faced by developers of high penetration winddiesel systems, with a focus on the management of power flows in order to achieve precise regulation of frequency and voltage in the face of rapidly varying wind power input and load conditions. The control algorithms presented herein are being implemented in the National Renewable Energy Laboratory (NREL) high penetration winddiesel system controller that will be installed in the village of Wales, Alaska, in early 2000.
Optimization under Uncertainty for Water Consumption in a Pulverized Coal Power Plant
Juan M. Salazar; Stephen E. Zitney; Urmila Diwekar
20090101T23:59:59.000Z
Pulverized coal (PC) power plants are widely recognized as major water consumers whose operability has started to be affected by drought conditions across some regions of the country. Water availability will further restrict the retrofitting of existing PC plants with waterexpensive carbon capture technologies. Therefore, national efforts to reduce water withdrawal and consumption have been intensified. Water consumption in PC plants is strongly associated to losses from the cooling water cycle, particularly water evaporation from cooling towers. Accurate estimation of these water losses requires realistic cooling tower models, as well as the inclusion of uncertainties arising from atmospheric conditions. In this work, the cooling tower for a supercritical PC power plant was modeled as a humidification operation and used for optimization under uncertainty. Characterization of the uncertainty (air temperature and humidity) was based on available weather data. Process characteristics including boiler conditions, reactant ratios, and pressure ratios in turbines were calculated to obtain the minimum water consumption under the above mentioned uncertainties. In this study, the calculated conditions predicted up to 12% in reduction in the average water consumption for a 548 MW supercritical PC power plant simulated using Aspen Plus. Optimization under uncertainty for these largescale PC plants cannot be solved with conventional stochastic programming algorithms because of the computational expenses involved. In this work, we discuss the use of a novel better optimization of nonlinear uncertain systems (BONUS) algorithm which dramatically decreases the computational requirements of the stochastic optimization.
Optimization Under Uncertainty for Water Consumption in a Pulverized Coal Power Plant
Juan M. Salazara; Stephen E. Zitney; Urmila M. Diwekara
20090101T23:59:59.000Z
Pulverized coal (PC) power plants are widely recognized as major water consumers whose operability has started to be affected by drought conditions across some regions of the country. Water availability will further restrict the retrofitting of existing PC plants with waterexpensive carbon capture technologies. Therefore, national efforts to reduce water withdrawal and consumption have been intensified. Water consumption in PC plants is strongly associated to losses from the cooling water cycle, particularly water evaporation from cooling towers. Accurate estimation of these water losses requires realistic cooling tower models, as well as the inclusion of uncertainties arising from atmospheric conditions. In this work, the cooling tower for a supercritical PC power plant was modeled as a humidification operation and used for optimization under uncertainty. Characterization of the uncertainty (air temperature and humidity) was based on available weather data. Process characteristics including boiler conditions, reactant ratios, and pressure ratios in turbines were calculated to obtain the minimum water consumption under the above mentioned uncertainties. In this study, the calculated conditions predicted up to 12% in reduction in the average water consumption for a 548 MW supercritical PC power plant simulated using Aspen Plus. Optimization under uncertainty for these largescale PC plants cannot be solved with conventional stochastic programming algorithms because of the computational expenses involved. In this work, we discuss the use of a novel better optimization of nonlinear uncertain systems (BONUS) algorithm which dramatically decreases the computational requirements of the stochastic optimization.
The Flow of PowerLaw Fluids in Axisymmetric Corrugated Tubes
Sochi, Taha
20100101T23:59:59.000Z
In this article we present an analytical method for deriving the relationship between the pressure drop and flow rate in laminar flow regimes, and apply it to the flow of powerlaw fluids through axiallysymmetric corrugated tubes. The method, which is general with regards to fluid and tube shape within certain restrictions, can also be used as a foundation for numerical integration where analytical expressions are hard to obtain due to mathematical or practical complexities. Five convergingdiverging geometries are used as examples to illustrate the application of this method.
The Flow of PowerLaw Fluids in Axisymmetric Corrugated Tubes
Taha Sochi
20100613T23:59:59.000Z
In this article we present an analytical method for deriving the relationship between the pressure drop and flow rate in laminar flow regimes, and apply it to the flow of powerlaw fluids through axiallysymmetric corrugated tubes. The method, which is general with regards to fluid and tube shape within certain restrictions, can also be used as a foundation for numerical integration where analytical expressions are hard to obtain due to mathematical or practical complexities. Five convergingdiverging geometries are used as examples to illustrate the application of this method.
Nanorod Niobium Oxide as Powerful Catalysts for an All Vanadium Redox Flow Battery
Li, Bin; Gu, Meng; Nie, Zimin; Wei, Xiaoliang; Wang, Chong M.; Sprenkle, Vincent L.; Wang, Wei
20140101T23:59:59.000Z
Graphite felts (GFs), as typical electrode materials for all vanadium redox flow batteries (VRBs), limit the cell operation to low current density because of their poor kinetic reversibility and electrochemical activity. Here, in order to address this issue we report an electrocatalyst, Nb2O5, decorating the surface of GFs to reduce the activation barrier for redox conversion. Nb2O5 nanofibers with monoclinic phases are synthesized by hydrothermal method and deposited on GFs, which is confirmed to have catalytic effects towards redox couples of V(II)/V(III) at the negative side and V(IV)/V(V) at the positive side, and thus applied in both electrodes of VRB cells. Due to the low conductivity of Nb2O5, the performance of electrodes heavily depends on the nano size and uniform distribution of catalysts on GFs surfaces. The addition of the watersoluble compounds containing W element into the precursor solutions facilitates the precipitation of nanofibers on the GFs. Accordingly, an optimal amount of Wdoped Nb2O5 nanofibers with weaker agglomeration and better distribution on GFs surfaces are obtained, leading to significant improvement of the electrochemical performances of VRB cells particularly under the high power operation. The corresponding energy efficiency is enhanced by 10.7 % under the operation of high charge/discharge current density (150 mA•cm2) owing to faster charge transfer as compared with that without catalysts. These results suggest that Nb2O5 based nanofibersdecorating GFs hold great promise as highperformance electrodes for VRB applications.
Nir, Vincent Le; Verlinden, Jan; Guenach, Mamoun
20100101T23:59:59.000Z
In xDSL systems, crosstalk can be separated into two categories, namely indomain crosstalk and outofdomain crosstalk. Indomain crosstalk is also refered to as self crosstalk. Outofdomain crosstalk is crosstalk originating from outside the multipair system and is also denoted as external noise (alien crosstalk, radio frequency interference,...). While self crosstalk in itself can easily be canceled by a linear detector like the ZF detector, the presence of external noise requires a more advanced processing. Coordination between transmitters and receivers enables the self crosstalk and the external noise to be mitigated using MIMO signal processing, usually by means of a whitening ï¬lter and SVD. In this paper, we investigate the problem of ï¬nding the optimal power allocation in MIMO xDSL systems in the presence of self crosstalk and external noise. Optimal Tx/Rx structures and power allocation algorithms will be devised under practical limitations from xDSL systems, namely permodem total power...
Systems studies and optimization of the ARIESCS power plant
Lyon, J. [Oak Ridge National Laboratory (ORNL); Ku, L. P. [Princeton Plasma Physics Laboratory (PPPL); ElGuebalyUniv. Wisco, L. [University of Wisconsin; Bromberg, L. [Massachusetts Institute of Technology (MIT); Wagner, L. [The Boeing Co., St. Louis, MO; Zarnstorff, M. C. [Princeton Plasma Physics Laboratory (PPPL)
20080101T23:59:59.000Z
stellarator systems/optimization code is used to optimize the ARIESCS fusion power plant parameters for minimum cost of electricity subject to a large number of physics, engineering, and invessel component constraints for a compact stellarator configuration. Different physics models, reactor component models, and costing algorithms are used to test sensitivities to models and assumptions. The most important factors determining the size of the fusion power core are the allowable neutron and radiative power fluxes to the wall, the distance needed between the edge of the plasma and the nonplanar magnetic field coils for the intervening components, and an adequate tritium breeding ratio. The magnetic field and coil parameters are determined from both plasma performance and constraints on the Nb3Sn superconductor. The same costing approach and algorithms used in previous ARIES studies are used with updated material costs. The result is a compact stellarator reactor with a major radius close to that of tokamaks. A onedimensional power balance code is used to study the path to ignition and the effect of different plasma and confinement assumptions on plasma performance for the reference plasma and coil configuration. A number of variations are studied that affect the size and cost of the fusion power core: maximum field at the coils, component cost penalties, a different blanket and shield approach, alternative plasma and coil configurations, etc. Comparisons are made with some earlier ARIES power plant studies. A number of issues for the development of compact quasiaxisymmetric stellarators are identified.
Neubauer, J.; Simpson, M.
20131001T23:59:59.000Z
Commercial facility utility bills are often a strong function of demand charges  a fee proportional to peak power demand rather than total energy consumed. In some instances, demand charges can constitute more than 50% of a commercial customer's monthly electricity cost. While installation of behindthemeter solar power generation decreases energy costs, its variability makes it likely to leave the peak load  and thereby demand charges  unaffected. This then makes demand charges an even larger fraction of remaining electricity costs. Adding controllable behindthemeter energy storage can more predictably affect building peak demand, thus reducing electricity costs. Due to the high cost of energy storage technology, the size and operation of an energy storage system providing demand charge management (DCM) service must be optimized to yield a positive return on investment (ROI). The peak demand reduction achievable with an energy storage system depends heavily on a facility's load profile, so the optimal configuration will be specific to both the customer and the amount of installed solar power capacity. We explore the sensitivity of DCM value to the power and energy levels of installed solar power and energy storage systems. An optimal peak load reduction control algorithm for energy storage systems will be introduced and applied to historic solar power data and meter load data from multiple facilities for a broad range of energy storage system configurations. For each scenario, the peak load reduction and electricity cost savings will be computed. From this, we will identify a favorable energy storage system configuration that maximizes ROI.
JOURNAL OF INDUSTRIAL AND doi:10.3934/jimo.2010.6.xx MANAGEMENT OPTIMIZATION
Oliveira, Aurélio R. L.
such that an efficient interiorpoint method may be applied. The optimal active power flow model is based on a network. Optimal active power flow, facts devices, network flow model, interior point method. This research control at the transmission level has been know as facts (Flexible AC Transmission Systems). Facts devices
Application of Flow Battery in Marine Current Turbine System for Daily Power Management
Brest, Université de
focuses on a gridconnected MCT system and proposes using vanadium redox flow battery (VRB) energy storage modeling, grid power demand, energy storage. I. INTRODUCTION Highly predictable tidal resources and high cause frequency variation and instability problems for the grid [3]. Various energy storage systems (ESS
Parallel Processing Implementation of the Unit Commitment Problem with Full AC Power Flow for using Lagrangian relaxation for solv ing the unit commitment problem is that separation of a very far. 1.1 The Unit Commitment Problem The unit commitment problem is a mixedinteger mathematical
HHFW Power Flow Along Magnetic Field Lines In The Scrapeoff Layer of NSTX
Rory Perkins, et. al.
20120227T23:59:59.000Z
A significant fraction of highharmonic fastwave (HHFW) power applied to NSTX can be lost to the scrapeoff layer (SOL) and deposited in bright and hot spirals on the divertor rather than in the core plasma. We show that the HHFW power flows to these spirals along magnetic field lines passing through the SOL in front of the antenna, implying that the HHFW power couples across the entire width of the SOL rather than mostly at the antenna face. This result will help guide future efforts to understand and minimize these edge losses in order to maximize fast wave heating and current drive.
Primary pump power as a measure of fluid density during bubbly twophase flow. [PWR
McCreery, G.E.; Linebarger, J.H.; Koske, J.E.
19830101T23:59:59.000Z
A nuclear plant operator requires other information on reactor coolant system inventory besides just pressurizer liquid level, which often disappears or gives ambiguous indications during a lossofcoolant accident. Erroneous instrument readings during the Three Mile Island and Ginna accidents are examples. Pump power or current is shown in this paper to provide an additional source of inventory information. When the reactor coolant pumps are operating, it allows the operator to make decisions about the advisability of continued pump and safetyinjection operation. The inventory information is provided by a simple method of calculating fluid density for bubbly twophase flow by relating pump power or current to fluid density. The calculational method is derived and compared with data in this paper. Calculations using the method agree well with the measured experimental data with increasing void fraction, until the flow transitions from bubbly to partially stratified churn flow within the pump.
Optimal Power Procurement and Demand Response with QualityofUsage Guarantees
Huang, Longbo; Ramchandran, Kannan
20110101T23:59:59.000Z
In this paper, we propose a general operating scheme which allows the utility company to jointly perform power procurement and demand response so as to maximize the social welfare. Our model takes into consideration the effect of the renewable energy and the multistage feature of the power procurement process. It also enables the utility company to provide qualityofusage (QoU) guarantee to the power consumers, which ensures that the average power usage level meets the target value for each user. To maximize the social welfare, we develop a lowcomplexity algorithm called the \\emph{welfare maximization algorithm} (WMA), which performs joint power procurement and dynamic pricing. WMA is constructed based on a twotimescale Lyapunov optimization technique. We prove that WMA achieves a closetooptimal utility and ensures that the QoU requirement is met with bounded deficit. WMA can be implemented in a distributed manner and is robust with respect to system dynamics uncertainty.
Hendricks, Terry J.; Karri, Naveen K.
20080430T23:59:59.000Z
Advanced, direct thermal energy conversion technologies are receiving increased research attention in order to recover waste thermal energy in advanced vehicles and industrial processes. Advanced thermoelectric (TE) systems necessarily require integrated systemlevel analyses to establish accurate optimum system designs. Past systemlevel design and analysis has relied on welldefined deterministic input parameters even though many critically important environmental and system design parameters in the above mentioned applications are often randomly variable, sometimes according to complex relationships, rather than discrete, wellknown deterministic variables. This work describes new research and development creating techniques and capabilities for probabilistic design and analysis of advanced TE power generation systems to quantify the effects of randomly uncertain design inputs in determining more robust optimum TE system designs and expected outputs. Selected case studies involving stochastic TE .material properties demonstrate key stochastic material impacts on power, optimum TE area, specific power, and power flux in the TE design optimization process. Magnitudes and directions of these design modifications are quantified for selected TE system design analysis cases
Pedram, Massoud
Deriving a Nearoptimal Power Management Policy Using Model Free Reinforcement Learning hardware and application characteristics, dynamic power management (DPM) frameworks must be able to learn about the system inputs and environment and adjust the power management policy on the fly. In this paper
Hu, Jiang
, APRIL 2008 Power Grid Analysis and Optimization Using Algebraic Multigrid Cheng Zhuo, Student Member of power grid analy sis and optimization techniques, all of which are based on the algebraic of reducing the problem size for power grid analysis and optimization. Next, with the proposed reduction
Edwin A. Harvego; Michael G. McKellar
20110501T23:59:59.000Z
There have been a number of studies involving the use of gases operating in the supercritical mode for power production and process heat applications. Supercritical carbon dioxide (CO2) is particularly attractive because it is capable of achieving relatively high power conversion cycle efficiencies in the temperature range between 550°C and 750°C. Therefore, it has the potential for use with any type of hightemperature nuclear reactor concept, assuming reactor core outlet temperatures of at least 550°C. The particular power cycle investigated in this paper is a supercritical CO2 Recompression Brayton Cycle. The CO2 Recompression Brayton Cycle can be used as either a direct or indirect power conversion cycle, depending on the reactor type and reactor outlet temperature. The advantage of this cycle when compared to the helium Brayton Cycle is the lower required operating temperature; 550°C versus 850°C. However, the supercritical CO2 Recompression Brayton Cycle requires an operating pressure in the range of 20 MPa, which is considerably higher than the required helium Brayton cycle operating pressure of 8 MPa. This paper presents results of analyses performed using the UniSim process analyses software to evaluate the performance of the supercritical CO2 Brayton Recompression Cycle for different reactor outlet temperatures. The UniSim model assumed a 600 MWt reactor power source, which provides heat to the power cycle at a maximum temperature of between 550°C and 750°C. The UniSim model used realistic component parameters and operating conditions to model the complete power conversion system. CO2 properties were evaluated, and the operating range for the cycle was adjusted to take advantage of the rapidly changing conditions near the critical point. The UniSim model was then optimized to maximize the power cycle thermal efficiency at the different maximum power cycle operating temperatures. The results of the analyses showed that power cycle thermal efficiencies in the range of 40 to 50% can be achieved.
Optimal operation of a concurrentflow corn dryer with a drying heat pump using superheated steam
Moraitis, C.S. [Systelligence Consultants and Research Associates, Volos (Greece); Akritidis, C.B. [Dept. of Hydraulics and Agricultural Engineering, Thessaloniki (Greece)
19980701T23:59:59.000Z
A numerical model of a concurrentflow dryer of corn using superheated steam as drying medium is solved applying a shooting technique, so as to satisfy boundary conditions imposed by the optimal design of a drying heat pump. The drying heat pump is based on the theory of minimum energy cycles. The solution of the model proves the applicability of the heat pump to a concurrentflow dryer, achieving a Specific Energy Consumption as low as 1080 kJ/kg.
Development of an entrained flow gasifier model for process optimization study
Biagini, E.; Bardi, A.; Pannocchia, G.; Tognotti, L. [Consorzio Pisa Ric, Pisa (Italy). Div Energia Ambiente
20091015T23:59:59.000Z
Coal gasification is a versatile process to convert a solid fuel in syngas, which can be further converted and separated in hydrogen, which is a valuable and environmentally acceptable energy carrier. Different technologies (fixed beds, fluidized beds, entrained flow reactors) are used, operating under different conditions of temperature, pressure, and residence time. Process studies should be performed for defining the best plant configurations and operating conditions. Although 'gasification models' can be found in the literature simulating equilibrium reactors, a more detailed approach is required for process analysis and optimization procedures. In this work, a gasifier model is developed by using AspenPlus as a tool to be implemented in a comprehensive process model for the production of hydrogen via coal gasification. It is developed as a multizonal model by interconnecting each step of gasification (preheating, devolatilization, combustion, gasification, quench) according to the reactor configuration, that is in entrained flow reactor. The model removes the hypothesis of equilibrium by introducing the kinetics of all steps and solves the heat balance by relating the gasification temperature to the operating conditions. The model allows to predict the syngas composition as well as quantity the heat recovery (for calculating the plant efficiency), 'byproducts', and residual char. Finally, in view of future works, the development of a 'gasifier model' instead of a 'gasification model' will allow different reactor configurations to be compared.
Giles, C. Lee
1 A Hierarchical Demand Response Framework for Data Center Power Cost Optimization Under Real bills. Our focus is on a subset of this work that carries out demand response (DR) by modulating
Powell, Warren B.
optimization problems in the power sector. A few examples include · Unit commitment  ISOs have to handle be highly unpre dictable [1], [2], [3]. Unit commitment problems may be made a day ahead (for steam
Schmitz, Paul Charles
19900101T23:59:59.000Z
RELIABILITY AND OPTIMIZATION STUDIES OF NUCLEAR AND SOLAR POWERED SYSTEMS UTILIZING A STIRLING ENGINE FOR THE SPACE STATION A Thesis by PAUL CHARLES SCHMITZ Submitted to the Office of Graduate Studies of Texas A&M University in partial... fulfillment of the requirements for the degree of MASTER OF SCIENCE August 1990 Major Subject: Nuclear Engineering RELIABILITY AND OPTIMIZATION STUDIES OF NUCLEAR AND SOLAR POWERED SYSTEMS UTILIZING A STIRLING ENGINE FOR THE SPACE STATION A Thesis...
Schmitz, Paul Charles
19900101T23:59:59.000Z
RELIABILITY AND OPTIMIZATION STUDIES OF NUCLEAR AND SOLAR POWERED SYSTEMS UTILIZING A STIRLING ENGINE FOR THE SPACE STATION A Thesis by PAUL CHARLES SCHMITZ Submitted to the Office of Graduate Studies of Texas A&M University in partial... fulfillment of the requirements for the degree of MASTER OF SCIENCE August 1990 Major Subject: Nuclear Engineering RELIABILITY AND OPTIMIZATION STUDIES OF NUCLEAR AND SOLAR POWERED SYSTEMS UTILIZING A STIRLING ENGINE FOR THE SPACE STATION A Thesis...
Hiskens, Ian A.
sensitivities are used to obtain optimal parameters of the system using a gradient Newton algorithm. Index TermsAutomatic generation control, bilateral contracts, deregulation, optimization, power system control, trajectory these ancillary services is the automatic gen eration control (AGC). In the new scenario, a DISCO can con tract
Optimization strategies for the vulnerability analysis of the electric power grid.
Meza, Juan C. (Lawrence Berkeley National Laboratory); Pinar, Ali; Lesieutre, Bernard (Lawrence Berkeley National Laboratory); Donde, Vaibhav (ABB Inc., Raleigh NC)
20090301T23:59:59.000Z
Identifying small groups of lines, whose removal would cause a severe blackout, is critical for the secure operation of the electric power grid. We show how power grid vulnerability analysis can be studied as a mixed integer nonlinear programming (minlp) problem. Our analysis reveals a special structure in the formulation that can be exploited to avoid nonlinearity and approximate the original problem as a pure combinatorial problem. The key new observation behind our analysis is the correspondence between the Jacobian matrix (a representation of the feasibility boundary of the equations that describe the flow of power in the network) and the Laplacian matrix in spectral graph theory (a representation of the graph of the power grid). The reduced combinatorial problem is known as the network inhibition problem, for which we present a mixed integer linear programming formulation. Our experiments on benchmark power grids show that the reduced combinatorial model provides an accurate approximation, to enable vulnerability analyses of realsized problems with more than 10,000 power lines.
Optimization Strategies for the Vulnerability Analysis of the Electric Power Grid
Pinar, A.; Meza, J.; Donde, V.; Lesieutre, B.
20071113T23:59:59.000Z
Identifying small groups of lines, whose removal would cause a severe blackout, is critical for the secure operation of the electric power grid. We show how power grid vulnerability analysis can be studied as a mixed integer nonlinear programming (MINLP) problem. Our analysis reveals a special structure in the formulation that can be exploited to avoid nonlinearity and approximate the original problem as a pure combinatorial problem. The key new observation behind our analysis is the correspondence between the Jacobian matrix (a representation of the feasibility boundary of the equations that describe the flow of power in the network) and the Laplacian matrix in spectral graph theory (a representation of the graph of the power grid). The reduced combinatorial problem is known as the network inhibition problem, for which we present a mixed integer linear programming formulation. Our experiments on benchmark power grids show that the reduced combinatorial model provides an accurate approximation, to enable vulnerability analyses of realsized problems with more than 10,000 power lines.
Comaskey, Brian J.
20041207T23:59:59.000Z
A fluid flow concept is applied in an optical apparatus to define a high gain standoff, fast electrooptical qswitch which is highly impervious to high average power optical loads.
The study on flow electrification of oilcellulose insulating system in large power transformer
Zhang, J.; Cao, L.J. [Nanyang Technological Univ., Singapore (Singapore). School of Electrical and Electronic Engineering
19951231T23:59:59.000Z
Electrical breakdown due to charge accumulation from transformer oil flow has caused many failures of large power transformers world wide. The problem is due to the entrainment of diffused electrical double layer charges into circulating transformer oil. As the charges accumulate on the surface of solid insulating materials and in volume oil, static potential builds up. If the rate of charge accumulation is greater than the rate of charge relaxation, harmful spark discharge may occur. By employing a pressboard pipe model, the present study carried out revealed the influence of higher oil flow rate and upstream charge on flow electrification. By simulating an actual transformer internal structure, it is noticed that there is a probability of partial discharge inception under higher oil circulation velocity. However, the upstream charge and dry zone can lead to a great increase of electric field strength, which may become important potential causes of partial discharge inception under the condition of relative low oil velocity.
Powerlaw scaling of asymmetries in viscous flow with PTsymmetric inflow and outflow
Huidan; Yu; Xi Chen; Yousheng Xu; Yogesh N. Joglekar
20141013T23:59:59.000Z
In recent years, open systems with balanced loss and gain, that are invariant under the combined parity and timereversal ($\\mathcal{PT}$) operations, have been studied via asymmetries of their solutions. They represent systems as diverse as coupled optical waveguides and electrical or mechanical oscillators. We numerically investigate the asymmetries of incompressible viscous flow in two and three dimensions with "balanced" inflowoutflow ($\\mathcal{PT}$symmetric) configurations. By introducing configurationdependent classes of asymmetry functions in velocity, kinetic energy density, and vorticity fields, we find that the flow asymmetries exhibit powerlaw scaling with a single exponent in the laminar regime with the Reynolds number ranging over four decades. We show that such singleexponent scaling is expected for small Reynolds numbers, although its robustness at large values of Reynolds numbers is unexpected. Our results imply that $\\mathcal{PT}$symmetric inflowoutflow configurations provide a hitherto unexplored avenue to tune flow properties.
Labinov, Mark S
20140101T23:59:59.000Z
Industrial and power systems rely on engineering predictions of the flow properties of working fluids. The paper proposes a way of the utilization of the vapor quality values along the new retrograde condensation curve in the generation of the void fraction design guidelines and reliable prediction of the saturated liquid specific volumes/densities. The new procedure eliminates the involvement of semiempirical relationships like rectilinear diameter and other similar models.
Peng, Huei
Journal of Power Sources, Vol.165, issue 2, March 2007, pp.819832. 1 Abstract Power management vehicle (FCHV). We have formulated a combined power management/design optimization problem for power management optimization. This controller, which is inspired by our Stochastic Dynamic Programming
Chertkov, Michael [Los Alamos National Laboratory; Turitsyn, Konstantin [Los Alamos National Laboratory; Backhaus, Scott [Los Alamos National Laboratory; Sule, Petr [NEW MEXICO CONSORTIUM
20090101T23:59:59.000Z
We show how distributed control of reactive power can serve to regulate voltage and minimize resistive losses in a distribution circuit that includes a significant level of photovoltaic (PV) generation. To demonstrate the technique, we consider a radial distribution circuit with a single branch consisting of sequentiallyarranged residentialscale loads that consume both real and reactive power. In parallel, some loads also have PV generation capability. We postulate that the inverters associated with each PV system are also capable of limited reactive power generation or consumption, and we seek to find the optimal dispatch of each inverter's reactive power to both maintain the voltage within an acceptable range and minimize the resistive losses over the entire circuit. We assume the complex impedance of the distribution circuit links and the instantaneous load and PV generation at each load are known. We compare the results of the optimal dispatch with a suboptimal local scheme that does not require any communication. On our model distribution circuit, we illustrate the feasibility of high levels of PV penetration and a significant (20% or higher) reduction in losses.
Popov, Branko N.
Performance Optimization of BatterySuper Capacitor Hybrid System Electrochemical capacitors a decreased value of power and energy densities for the hybrid system. Figure 1shows the fractional capacity (ultracapacitors) offer high power density when compared to battery systems and also have a relatively large energy
IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 22, NO. 3, MAY 2007 815 Design of Resonant Inverters for Optimal Efficiency Over Lamp Life in Electronic Ballast With Phase Control Francisco J. Azcondo, Senior was presented in part at The 20th Annual IEEE Applied Power Electronics Conference and Exposition (APEC'05
Julien Sylvestre
20030819T23:59:59.000Z
Searches for gravitational wave signals which do not have a precise model describing the shape of their waveforms are often performed using power detectors based on a quadratic form of the data. A new, optimal method of generalizing these power detectors so that they operate coherently over a network of interferometers is presented. Such a mode of operation is useful in obtaining better detection efficiencies, and better estimates of the position of the source of the gravitational wave signal. Numerical simulations based on a realistic, computationally efficient hierarchical implementation of the method are used to characterize its efficiency, for detection and for position estimation. The method is shown to be more efficient at detecting signals than an incoherent approach based on coincidences between lists of events. It is also shown to be capable of locating the position of the source.
Backpropagation architecture optimization and an application in nuclear power plant diagnostics
Basu, A.; Bartlett, E.B.
19930401T23:59:59.000Z
This paper presents a Dynamic Node Architecture (DNA) scheme to optimize the architecture of backpropagation Artificial Neural Networks (ANNs). This network scheme is used to develop an ANN based diagnostic adviser capable of identifying the operating status of a nuclear power plant. Specifically, a ``root`` network is trained to diagnose if the plant is in a normal operating condition or not. In the event of an abnormal condition, and other ``classifier`` network is trained to recognize the particular transient taking place. these networks are trained using plant instrumentation data gathered during simulations of the various transients and normal operating conditions at the Iowa Electric Light and Power Company`s Duane Arnold Energy Center (DAEC) operator training simulator.
Backpropagation architecture optimization and an application in nuclear power plant diagnostics
Basu, A.; Bartlett, E.B.
19930101T23:59:59.000Z
This paper presents a Dynamic Node Architecture (DNA) scheme to optimize the architecture of backpropagation Artificial Neural Networks (ANNs). This network scheme is used to develop an ANN based diagnostic adviser capable of identifying the operating status of a nuclear power plant. Specifically, a root'' network is trained to diagnose if the plant is in a normal operating condition or not. In the event of an abnormal condition, and other classifier'' network is trained to recognize the particular transient taking place. these networks are trained using plant instrumentation data gathered during simulations of the various transients and normal operating conditions at the Iowa Electric Light and Power Company's Duane Arnold Energy Center (DAEC) operator training simulator.
Optimal control system design for IGCC power plants with CO2 capture
Jones, D.; Bhattacharyya, D.; Turton, R.; Zitney, S.
20120101T23:59:59.000Z
Designing an optimal control system for an integrated gasification combined cycle (IGCC) power plant with CO2 capture addresses the challenge of efficiently operating and controlling a coalfed IGCC plant with the desired extent of CO2 capture in the face of disturbances without violating operational and environmental constraints. The control system design needs to optimize a desired scalar objective function while satisfying all the operational and environmental constraints in the presence of measured and unmeasured disturbances. Various objective functions can be considered for the control system design such as maximization of profit, maximization of the power produced, or minimization of the auxiliary power. The design of such a control system makes the plant suitable to play an active role in the smart grid era as the plant will have the required agility. In addition, other penalty function(s) such as emission penalties for CO2 or other criteria pollutants can be considered in the framework as well as losses associated with any hydrogen or carbon monoxide loses. The proposed control system design is performed in two stages. In the first stage, a topdown analysis is performed to generate a list of controlled, manipulated, and disturbance variables considering a scalar operational objective and other process constraints. In the second stage, a bottomup approach for simultaneous design of the control structure and the controllers is used. In this paper, the first stage of the twostage approach is applied to the IGCC’s acid gas removal (AGR) process which removes both H2S and CO2 from the shifted synthesis gas. While these results are still preliminary, they demonstrate the application of the proposed approach for a commercialscale plant and show some interesting results related to controlled variable selection. Such an approach can be followed not only to design control systems for new power plants, but also to retrofit control systems for existing plants with suitable modifications.
Optimal Dispatch of Photovoltaic Inverters in Residential Distribution Systems
Giannakis, Georgios
method for determining the active and reactivepower set points for PV inverters in residential systems and ensuring voltage regulation. Binary PVinverter selection variables and nonlinear powerflow relationsDistribution networks, inverter control, optimal power flow (OPF), photovoltaic (PV) systems, sparsity, voltage
Optimization of electrode characteristics for the Br2/H2 redox flow cell
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Tucker, Michael C.; Cho, Kyu Taek; Weber, Adam Z.; Lin, Guangyu; Nguyen, Trung V.
20141001T23:59:59.000Z
The Br2/H2 redox flow cell shows promise as a highpower, lowcost energy storage device. The effect of various aspects of material selection, processing, and assembly of electrodes on the operation, performance, and efficiency of the system is determined. In particular, (+) electrode thickness, cell compression, hydrogen pressure, and (?) electrode architecture are investigated. Increasing hydrogen pressure and depositing the (?) catalyst layer on the membrane instead of on the carbon paper backing layers have a large positive impact on performance, enabling a limiting current density above 2 A cm?2 and a peak power density of 1.4 W cm?2. Maximum energymore »efficiency of 79 % is achieved. In addition, the root cause of limitingcurrent behavior in this system is elucidated, where it is found that Br? reversibly adsorbs at the Pt (?) electrode for potentials exceeding a critical value, and the extent of Br? coverage is potentialdependent. This phenomenon limits maximum cell current density and must be addressed in system modeling and design. These findings are expected to lower system cost and enable higher efficiency.« less
Optimization of electrode characteristics for the Br2/H2 redox flow cell
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Tucker, Michael C.; Cho, Kyu Taek; Weber, Adam Z.; Lin, Guangyu; Nguyen, Trung V.
20141001T23:59:59.000Z
The Br2/H2 redox flow cell shows promise as a highpower, lowcost energy storage device. The effect of various aspects of material selection, processing, and assembly of electrodes on the operation, performance, and efficiency of the system is determined. In particular, (+) electrode thickness, cell compression, hydrogen pressure, and (?) electrode architecture are investigated. Increasing hydrogen pressure and depositing the (?) catalyst layer on the membrane instead of on the carbon paper backing layers have a large positive impact on performance, enabling a limiting current density above 2 A cm?2 and a peak power density of 1.4 W cm?2. Maximum energy efficiency of 79 % is achieved. In addition, the root cause of limitingcurrent behavior in this system is elucidated, where it is found that Br? reversibly adsorbs at the Pt (?) electrode for potentials exceeding a critical value, and the extent of Br? coverage is potentialdependent. This phenomenon limits maximum cell current density and must be addressed in system modeling and design. These findings are expected to lower system cost and enable higher efficiency.
Optimization of electrode characteristics for the Br?/H? redox flow cell
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Tucker, Michael C.; Cho, Kyu Taek; Weber, Adam Z.; Lin, Guangyu; Van Nguyen, Trung
20150101T23:59:59.000Z
The Br?/H? redox flow cell shows promise as a highpower, lowcost energy storage device. The effect of various aspects of material selection, processing, and assembly of electrodes on the operation, performance, and efficiency of the system is determined. In particular, (+) electrode thickness, cell compression, hydrogen pressure, and (–) electrode architecture are investigated. Increasing hydrogen pressure and depositing the (–) catalyst layer on the membrane instead of on the carbonpaper backing layers have a large positive impact on performance, enabling a limiting current density above 2 A cm2 and a peak power density of 1.4 W cm2. Maximum energy efficiencymore »of 79% is achieved. In addition, the root cause of limitingcurrent behavior in this system is elucidated, where it is found that Br reversibly adsorbs at the Pt (–) electrode for potentials exceeding a critical value, and the extent of Br coverage is potentialdependent. This phenomenon limits maximum cell current density and must be addressed in system modeling and design. These findings are expected to lower system cost and enable higher efficiency.« less
Optimization of electrode characteristics for the Br?/H? redox flow cell
Tucker, Michael C. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Cho, Kyu Taek [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Weber, Adam Z. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Lin, Guangyu [TVN Systems, Inc., Lawrence, KS (United States); Van Nguyen, Trung [Univ. of Kansas, Lawrence, KS (United States)
20150101T23:59:59.000Z
The Br?/H? redox flow cell shows promise as a highpower, lowcost energy storage device. The effect of various aspects of material selection, processing, and assembly of electrodes on the operation, performance, and efficiency of the system is determined. In particular, (+) electrode thickness, cell compression, hydrogen pressure, and (–) electrode architecture are investigated. Increasing hydrogen pressure and depositing the (–) catalyst layer on the membrane instead of on the carbonpaper backing layers have a large positive impact on performance, enabling a limiting current density above 2 A cm^{2 }and a peak power density of 1.4 W cm^{2}. Maximum energy efficiency of 79% is achieved. In addition, the root cause of limitingcurrent behavior in this system is elucidated, where it is found that Br^{} reversibly adsorbs at the Pt (–) electrode for potentials exceeding a critical value, and the extent of Br^{} coverage is potentialdependent. This phenomenon limits maximum cell current density and must be addressed in system modeling and design. These findings are expected to lower system cost and enable higher efficiency.
Optimal Design of a StandAlone Hybrid PV/Fuel Cell Power System for the City of Brest in France
ParisSud XI, Université de
, energy cost, HOMER. Nomenclature HOMER = Hybrid Optimization Model for Electric Renewables; PV as a secondary source of energy [1819]. For such king of hybrid power systems, the sources can be optimallyOptimal Design of a StandAlone Hybrid PV/Fuel Cell Power System for the City of Brest in France
A thermodynamic hypothesis regarding optimality principles for flow processes in geosystems
Liu, HuiHai
20150101T23:59:59.000Z
basin has larger energy than the downstream water. Thus, thea way that the energy expenditure rate for water flow shouldhypothesis. The energy expenditure rate, EE, for water flow
Peng, Huei
strategy is as significant as component sizing in achieving optimal fuel economy of a fuel cell hybrid Management and Design Optimization of Fuel Cell/Battery Hybrid Vehicles #12;Journal of Power Sources, Vol.165, issue 2, March 2007, pp.819832. 2 to determine an optimal power distribution for a fuel cell
Zhang, Junshan
201011 Electrical Engineering BSE/EPES 4year Flow Chart Concentration in Electrical Power and Energy Systems NOTE 1: The program in Electrical Engineering requires a total of 15 hours of technical
Zhang, Junshan
201112 Electrical Engineering BSE/EPES 4year Flow Chart Concentration in Electrical Power and Energy Systems NOTE 1: The program in Electrical Engineering requires a total of 15 hours of technical
Numerical Polynomial Homotopy Continuation Method to Locate All The Power Flow Solutions
Dhagash Mehta; Hung Nguyen; Konstantin Turitsyn
20140812T23:59:59.000Z
The manuscript addresses the problem of finding all solutions of power flow equations or other similar nonlinear system of algebraic equations. This problem arises naturally in a number of power systems contexts, most importantly in the context of direct methods for transient stability analysis and voltage stability assessment. We introduce a novel form of homotopy continuation method called the numerical polynomial homotopy continuation (NPHC) method that is mathematically guaranteed to find all the solutions without ever encountering a bifurcation. The method is based on embedding the real form of power flow equation in complex space, and tracking the generally unphysical solutions with complex values of real and imaginary parts of the voltage. The solutions converge to physical real form in the end of the homotopy. The socalled $\\gamma$trick mathematically rigorously ensures that all the paths are wellbehaved along the paths, so unlike other continuation approaches, no special handling of bifurcations is necessary. The method is \\textit{embarrassingly parallelizable} and can be applied to reasonably large sized systems. We demonstrate the technique by analysis of several standard test cases up to the 14bus system size. Finally, we discuss possible strategies for scaling the method to large size systems, and propose several applications for transient stability analysis and voltage stability assessment.
Chertkov, M; Turtisyn, K; Chernyak, V; Lebedev, V
20110101T23:59:59.000Z
We consider a model of a distribution feeder connecting multiple loads to the substation. Voltage is controlled directly at the head of the line (substation), however, voltage anywhere further down the line is subject to fluctuations, caused by irregularities of real and reactive distributed power consumption/generation. The lack of a direct control of voltage along the line may result in the voltage instability, also called voltage collapse  phenomenon well known and documented in the power engineering literature. Motivated by emerging photovoltaic technology, which brings a new source of renewable generation but also contributes significant increase in power flow fluctuations, we reexamine the phenomenon of voltage stability and collapse. In the limit where the number of consumers is large and spatial variations in power flows are smooth functions of position along the feeder, we derive a set of the power flow Ordinary Differential Equations (ODE), verify phenomenon of voltage collapse, and study the ef...
The flow of power law fluids in elastic networks and porous media
Sochi, Taha
20150101T23:59:59.000Z
The flow of power law fluids, which include shear thinning and shear thickening as well as Newtonian as a special case, in networks of interconnected elastic tubes is investigated using a residual based pore scale network modeling method with the employment of newly derived formulae. Two relations describing the mechanical interaction between the local pressure and local cross sectional area in distensible tubes of elastic nature are considered in the derivation of these formulae. The model can be used to describe shear dependent flows of mainly viscous nature. The behavior of the proposed model is vindicated by several tests in a number of special and limiting cases where the results can be verified quantitatively or qualitatively. The model, which is the first of its kind, incorporates more than one major nonlinearity corresponding to the fluid rheology and conduit mechanical properties, that is nonNewtonian effects and tube distensibility. The formulation, implementation and performance indicate that the...
Onchip interconnection architecture optimization using a multicommodity flow approach
Hu, Yuanfang
20070101T23:59:59.000Z
Routing Architecture Optimization . . . . . . . . . . . .Timing Analysis in OnChip Interconnection ArchitectureLarge Scale OnChip Interconnection Architecture Opti
Marinca, Vasile
20150101T23:59:59.000Z
In this paper, Optimal Homotopy Perturbation Method (OHPM) is employed to determine an analytic approximate solutions for nonlinear MHD JefferyHamel flow and heat transfer problem. The NavierStokes equations, taking into account Maxwell's electromagnetism and heat transfer lead to two nonlinear ordinary differential equations. The obtained results by means of OHPM show a very good agreement in comparison with the numerical results and with Homotopy Perturbation Method (HPM).
Zhang, Junshan
200910 Electrical Engineering BSE/EPES 4year Flow Chart Concentration in Electrical Power and Energy Systems NOTE 1: The program in Electrical Engineering requires a total of 15 hours of technical (N), 498 (N) Elec EEE 333 [prereq EEE101,120] ........... Power, 498 (N) Solar Energy Note: Prereq
Zhang, Junshan
200809 Electrical Engineering BSE/EPES 4year Flow Chart Concentration in Electrical Power and Energy Systems NOTE 1: The program in Electrical Engineering requires a total of 15 hours of technical (N), 498 (N) Elec EEE 333 [prereq EEE101,120] ........... Power, 498 (N) Solar Energy Note: Prereq
A. Vaudrey; P. Baucour; F. Lanzetta; R. Glises
20100830T23:59:59.000Z
Producing useful electrical work in consuming chemical energy, the fuel cell have to reject heat to its surrounding. However, as it occurs for any other type of engine, this thermal energy cannot be exchanged in an isothermal way in finite time through finite areas. As it was already done for various types of systems, we study the fuel cell within the finite time thermodynamics framework and define an endoreversible fuel cell. Considering different types of heat transfer laws, we obtain an optimal value of the operating temperature, corresponding to a maximum produced power. This analysis is a first step of a thermodynamical approach of design of thermal management devices, taking into account performances of the whole system.
Vaudrey, A; Lanzetta, F; Glises, R
20090101T23:59:59.000Z
Producing useful electrical work in consuming chemical energy, the fuel cell have to reject heat to its surrounding. However, as it occurs for any other type of engine, this thermal energy cannot be exchanged in an isothermal way in finite time through finite areas. As it was already done for various types of systems, we study the fuel cell within the finite time thermodynamics framework and define an endoreversible fuel cell. Considering different types of heat transfer laws, we obtain an optimal value of the operating temperature, corresponding to a maximum produced power. This analysis is a first step of a thermodynamical approach of design of thermal management devices, taking into account performances of the whole system.
Jennings, W.; Green, J.
20010101T23:59:59.000Z
The purpose of this research was to determine the optimal configuration of home power systems relevant to different regions in the United States. The hypothesis was that, regardless of region, the optimal system would be a hybrid incorporating wind technology, versus a photovoltaic hybrid system without the use of wind technology. The method used in this research was HOMER, the Hybrid Optimization Model for Electric Renewables. HOMER is a computer program that optimizes electrical configurations under userdefined circumstances. According to HOMER, the optimal system for the four regions studied (Kansas, Massachusetts, Oregon, and Arizona) was a hybrid incorporating wind technology. The cost differences between these regions, however, were dependent upon regional renewable resources. Future studies will be necessary, as it is difficult to estimate meteorological impacts for other regions.
RealTime Combined Heat and Power Operational Strategy Using a Hierarchical Optimization Algorithm
Yun, Kyung Tae; Cho, Heejin; Luck, Rogelio; Mago, Pedro J.
20110601T23:59:59.000Z
Existing attempts to optimize the operation of Combined Heat and Power (CHP) systems for building applications have two major limitations: the electrical and thermal loads are obtained from historical weather profiles; and the CHP system models ignore transient responses by using constant equipment efficiencies. This paper considers the transient response of a building combined with a hierarchical CHP optimal control algorithm to obtain a realtime integrated system that uses the most recent weather and electric load information. This is accomplished by running concurrent simulations of two transient building models. The first transient building model uses current as well as forecast input information to obtain short term predictions of the thermal and electric building loads. The predictions are then used by an optimization algorithm, i.e., a hierarchical controller, that decides the amount of fuel and of electrical energy to be allocated at the current time step. In a simulation, the actual physical building is not available and, hence, to simulate a realtime environment, a second, building model with similar but not identical input loads are used to represent the actual building. A statevariable feedback loop is completed at the beginning of each time step by copying, i.e., measuring, the state variable from the actual building and restarting the predictive model using these ?measured? values as initial conditions. The simulation environment presented in this paper features nonlinear effects such as the dependence of the heat exchanger effectiveness on their operating conditions. The results indicate that the CHP engine operation dictated by the proposed hierarchical controller with uncertain weather conditions have the potential to yield significant savings when compared to conventional systems using current values of electricity and fuel prices.
Givler, T.; Lilienthal, P.
20050501T23:59:59.000Z
This paper discusses using HOMER Software, NREL's Micropower Optimization Model, to explore the role of gensets in small solar power systems in Sri Lanka.
Optimal Synthesis of a Pulverized Coal Power Plant with Carbon Capture
Prakash R. Kotecha; Juan M. Salazar; Stephen Zitney
20090101T23:59:59.000Z
Coal constitutes an important source of fuel for the production of power in the United States. For instance, in January 2009, pulverized coal (PC) power plants alone contributed to over 45 percent of the Nation's total electric power production. However, PC power plants also contribute to increased emissions of greenhouse gases principally carbondioxide (CO2). Recently, various carbon capture strategies have been under active investigation so as to make these plants compete with the more environmental friendly renewable energy sources. One such technology that has received considerable success is the capture of CO2 by an aminebased solvent extraction process. However, an aqueous absorption/stripping technology when used in a PC power plant can reduce the net power output of the plant by as much as 2040%. The energy penalty comes from heating up the solvent in the regenerator, balancing the enthalpy of reaction, and water stripping. This energy penalty poses considerable limitations on commercial viability of the solvent extraction process and, as a result, various energysaving modifications have been proposed in the literature ranging from the use of hybrid solvents to novel stripper configurations. In this paper, we show that the energy penalty can be further reduced by heat integration of various PC plant components with the carbon capture system. In addition to the release of greenhouse gases to the environment, PC plants also consume a large amount of freshwater. It is estimated that subcritical and supercritical PC plants have water losses of 714 gal/MWh and 639 gal/MWh, respectively. Water loss is based on an overall balance of the plant source and exit streams. This includes coal moisture, air humidity, process makeup, cooling tower makeup (equivalent to evaporation plus blowdown), process losses (including losses through reactions, solids entrainment, and process makeup/blowdown) and flue gas losses. The primary source of water used in PC power plants is the closedloop steambased (Rankine) power cycles. These plants need to condense large quantities of lowpressure steam back to water so that it can be reused to produce high pressure steam. However, this requires the removal of large quantities of heat from the low pressure steam in the condensation process. This is usually done by transferring the heat to cooling water, which in turn transfers this heat to the environment by evaporation to the atmosphere. Also, the inclusion of a carbon capture process can increase the raw water usage by as much as 95 percent. In this work, we use heat exchanger network synthesis followed by an optimization approach to process synthesis for developing strategies for reducing water use in a supercritical PC power plant with a carbon capture and compression system. Uncertainties associated with dry bulb temperature, relative humidity, and demand will also be considered in this analysis.
1 INTRODUCTION We consider the optimization problem of distrib
ParisSud XI, Université de
of uncertain ties are incorporated by a Monte Carlo simulation and Optimal Power Flow (MCSOPF) model within of renewable generators DG into an electrical power distribution network. Reliability of power supply and allocation. This is a relevant problem in modern power grid design and extension planning. The objective
Nonlinear power flow feedback control for improved stability and performance of airfoil sections
Wilson, David G.; Robinett, III, Rush D.
20130903T23:59:59.000Z
A computerimplemented method of determining the pitch stability of an airfoil system, comprising using a computer to numerically integrate a differential equation of motion that includes terms describing PID controller action. In one model, the differential equation characterizes the timedependent response of the airfoil's pitch angle, .alpha.. The computer model calculates limitcycles of the model, which represent the stability boundaries of the airfoil system. Once the stability boundary is known, feedback control can be implemented, by using, for example, a PID controller to control a feedback actuator. The method allows the PID controller gain constants, K.sub.I, K.sub.p, and K.sub.d, to be optimized. This permits operation closer to the stability boundaries, while preventing the physical apparatus from unintentionally crossing the stability boundaries. Operating closer to the stability boundaries permits greater power efficiencies to be extracted from the airfoil system.
Design of a RealTime Adaptive Power Optimal Sensor System Ari Y. Benbasat and Joseph A. Paradiso
and size of the necessary components, particularly MEMS based sensors. However, such systems are oftenDesign of a RealTime Adaptive Power Optimal Sensor System Ari Y. Benbasat and Joseph A. Paradiso,joep}@media.mit.edu Abstract Wireless sensors systems are currently being deployed in a wide variety of lightweight mobile
Nehorai, Arye
the average cost of power supply. Timeofuse (TOU) pricing has been proposed as a demandside management (DSM for Optimal TimeofUse Electricity Pricing Peng Yang, Student Member, IEEE, Gongguo Tang, Member, IEEE, and Arye Nehorai, Fellow, IEEE AbstractDemand for electricity varies throughout the day, increasing
Stefanopoulou, Anna
Dynamics, Optimization and Control of a Fuel Cell Based Combined Heat Power (CHP) System, a natural gas fuel processor system (FPS), a proton exchange membrane fuel cell (PEMFC) and a catalytic) systems based on fuel cells and fuel processing technologies have great potential for future shipboard
Pedram, Massoud
SLAbased Optimization of Power and Migration Cost in Cloud Computing Hadi Goudarzi, Mohammad  Systems {hgoudarz, ghasemaz and pedram}@usc.edu AbstractCloud computing systems (or hosting datacenters of a cloud computing system is a strong function of the consolidation and migration techniques used to assign
Su, Weifeng
IEEE SIGNAL PROCESSING LETTERS, VOL. 14, NO. 6, JUNE 2007 377 Outage Analysis and Optimal Power. Ray Liu, Fellow, IEEE AbstractIn this letter, a novel approach for outage probability analysis on that approximation, an outage probability bound is derived which proves to be tight at high SNR. Based on the derived
Optimal Riskaware Power Procurement for Data Centers in DayAhead and RealTime Electricity Markets
MohsenianRad, Hamed
Optimal Riskaware Power Procurement for Data Centers in DayAhead and RealTime Electricity Markets Mahdi Ghamkhari, Hamed MohsenianRad, and Adam Wierman Department of Electrical Engineering, University of California, Riverside, CA, USA Department of Computing and Mathematical Sciences, California
Cañizares, Claudio A.
on initial investment [years] Investment period [years] Plant useful life [years] Solar PV module area [m2 generation capacity accounts for 525 MW [2]. The current world's largest solar PV power plant in largescale solar photovoltaic (PV) generation projects are proposed and discussed. The optimal set
Peng, Huei
]. As the energy storage device, hydraulic accumulator has the ability to accept both high frequencies and high, relatively low energy density of the hydraulic accumulator requires carefully designed control strategy. Optimization of Power Management Strategies for a Hydraulic Hybrid Medium Truck Bin Wu, ChanChiao Lin, Zoran
Ice Shelves as Floating Channel Flows of Viscous PowerLaw Fluids
Banik, Indranil
20130101T23:59:59.000Z
We attempt to better understand the flow of marine ice sheets. Treating ice as a viscous shearthinning power law fluid, we develop an asymptotic (latetime) theory in two cases  the presence or absence of contact with sidewalls. Most realworld situations fall somewhere between the two extreme cases considered. When sidewalls are absent, we obtain the equilibrium grounding line thickness using a simple computer model and have an analytic approximation. For shelves in contact with sidewalls, we obtain an asymptotic theory, valid for long shelves. Our theory is based on the velocity profile across the channel being a generalised version of Poiseuille flow, which works when lateral shear dominates the force balance. We determine when this is. We conducted experiments using a laboratory model for ice. This was a suspension of xanthan in water, at a concentration of 0.5% by mass. The lab model has $n \\approx 3.8$ (similar to that of ice). The experiments agreed extremely well with our theories for all relevant p...
Optimizing flow rate and bacterial removal performance of ceramic pot filters in Tamale, Ghana
Zhang, Yiyue, S.M. Massachusetts Institute of Technology
20150101T23:59:59.000Z
Pure Home Water (PHW) is an organization that seeks to improve the drinking water quality for those who do not have access to clean water in Northern Ghana. This study focuses on the further optimization of ceramic pot ...
Li, Zhuoyi
20110222T23:59:59.000Z
in the study. Field applications illustrate the feasibility of using this model to interpret the field measured data and assist production optimization. The reservoir model also reveals the relationship between temperature behavior and reservoir permeability...
An Improved Lagrangian Relaxation Method for VLSI Combinational Circuit Optimization
Huang, YiLe
20120214T23:59:59.000Z
Gate sizing and threshold voltage (Vt) assignment are very popular and useful techniques in current very large scale integration (VLSI) design flow for timing and power optimization. Lagrangian relaxation (LR) is a common ...
Miller, John M [ORNL; Rakouth, Heri [Delphi Automotive Systems, USA; Suh, InSoo [Korea Advanced Institute of Science and Technology
20120101T23:59:59.000Z
This paper is aimed at reviewing the technology trends for wireless power transfer (WPT) for electric vehicles (EV). It also analyzes the factors affecting its efficiency and describes the techniques currently used for its optimization. The review of the technology trends encompasses both stationary and moving vehicle charging systems. The study of the stationary vehicle charging technology is based on current implementations and ongoing developments at WiTricity and Oak Ridge National Lab (ORNL). The moving vehicle charging technology is primarily described through the results achieved by the Korean Advanced Institute of Technology (KAIST) along with ongoing efforts at Stanford University. The factors affecting the efficiency are determined through the analysis of the equivalent circuit of magnetic resonant coupling. The air gap between both transmitting and receiving coils along with the magnetic field distribution and the relative impedance mismatch between the related circuits are the primary factors affecting the WPT efficiency. Currently the industry is looking at an air gap of 25 cm or below. To control the magnetic field distribution, Kaist has recently developed the Shaped Magnetic Field In Resonance (SMFIR) technology that uses conveniently shaped ferrite material to provide low reluctance path. The efficiency can be further increased by means of impedance matching. As a result, Delphi's implementation of the WiTricity's technology exhibits a WPT efficiency above 90% for stationary charging while KAIST has demonstrated a maximum efficiency of 83% for moving vehicle with its On Line Vehicle (OLEV) project. This study is restricted to nearfield applications (short and midrange) and does not address longrange technology such as microwave power transfer that has low efficiency as it is based on radiating electromagnetic waves. This paper exemplifies Delphi's work in powertrain electrification as part of its innovation for the real world program geared toward a safer, greener and more connected driving. Moreover, it draws from and adds to Dr. Andrew Brown Jr.'s SAE books 'Active Safety and the Mobility Industry', 'Connectivity and Mobility Industry', and 'Green Technologies and the Mobility Industry'. Magnetic resonant coupling is the foundation of modern wireless power transfer. Its efficiency can be controlled through impedance matching and magnetic field shaping. Current implementations use one or both of these control methods and enable both stationary and mobile charging with typical efficiency within the 80% and 90% range for an air gap up to 25 cm.
A thermodynamic hypothesis regarding optimality principles for flow processes in geosystems
Liu, HuiHai
20150101T23:59:59.000Z
structure of river basins. Water Resour Res 28:1095–1103of drainage networks. Water Resour Res 28:2183–2191 3. Liuhydraulic conductivity for water flow, in this case, is not
Robertson, James George
20150629T23:59:59.000Z
Climate change has brought about legallybinding targets for Scotland, the U.K. and the E.U. to reduce greenhouse gas emissions and source a share of overall energy consumption from renewable energy resources by 2020. ...
Relaxations for multiperiod optimal power flow problems with discrete decision variables
Ernst, Damien
of renewable energy sources. To benefit from the flexibility of customers, it is necessary to account with discrete variables that define mixedinteger nonconvex mathematical programs. We propose two types or the rejection of bids, or the start up of some generation units. As a first example, the dayahead energy market
Optimal Power Flow of Multiple Energy Carriers(Geidl and Andersson 2007) 
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by Email Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a g eWorks 090018CXNuon Renewables Jump to: navigation,Omya Inc Jump/0source HistoryOptiSoft
CHANCE CONSTRAINED OPTIMAL POWER FLOW: RISKAWARE NETWORK CONTROL UNDER UNCERTAINTY
Bienstock, Daniel
resulting in automatic line tripping to protect lines from thermal stress, a risky and undesirable outcome control sophistication and careful longterm planning. Nevertheless, the grid is under growing stress in the grid are largely of an engineering nature (i.e. the flywheeldirected generator response used to handle
Power Control and Optimization of Photovoltaic and Wind Energy Conversion Systems /
Ghaffari, Azad
20130101T23:59:59.000Z
2011. [2] ——, “High altitude wind power systems: A survey onidea of harnessing high altitude wind power using a tetheredComputed power densities in high altitude winds exceed a 10
Circuit and System Level Design Optimization for Power Delivery And Management
Xu, Tong
20141208T23:59:59.000Z
As the VLSI technology scales to the nanometer scale, power consumption has become a critical design concern of VLSI circuits. Power gating and dynamic voltage and frequency scaling (DVFS) are two effective power management techniques...
Circuit and System Level Design Optimization for Power Delivery And Management
Xu, Tong
20141208T23:59:59.000Z
that are widely utilized in modern chip designs. Various design challenges merge with these power management techniques in nanometer VLSI circuits. For example, power gating introduces unique power integrity issues and tradeoffs between switching noise and rush...
Opazo, A; Bustamante, G; Labbé, R
20150101T23:59:59.000Z
We report experimental results for fluctuations of injected power in confined von K\\'arm\\'an swirling flows with constant external torque applied to the stirrers. Two experiments were performed at nearly equal Reynolds numbers in geometrically similar experimental setups, using air in one of them and water in the other. We found that the probability density function of power fluctuations is strongly asymmetric in air, while in water it is closer to a Gaussian, showing that the effect that a big change on the fluid density has on the flowstirrer interaction is not reflected merely by a change in the amplitude of stirrers' response. In the case of water, with a density roughly 830 times greater than air density, the forcing exerted by the flow on the stirrers is stronger, so that they follow more closely the locally averaged rotation of the flow. When the fluid is air, the forcing is much weaker, resulting not only in a smaller stirrer response to the torque exerted by the flow, but also in power fluctuations ...
Power dissipation and timeaveraged pressure in oscillating flow through a sudden area change
Smith, Barton L.
effects including boundary layer turbu lence and random motions in separated flows. These losses fixed while varying the third. Evidence is presented that the losses due to oscillatory flow for steady flow are available, few such data exist for oscillatory flow in any geometry, despite the fact
Zhang, Junshan
20072008 Electrical Engineering BSE/EPES 4year Flow Chart Concentration in Electrical Power and Energy Systems NOTE 1: The program in Electrical Engineering requires a total of 15 hours of technical Energy Note: Prereq for Computer Engineering: EEE203 Computer Engineering EEE404 (S), CSE420 (F, S
Van Zee, John W.
20060101T23:59:59.000Z
Journal of Power Sources xxx (2006) xxxxxx The impact of channel path length on PEMFC flow of channels. These results may be used to develop universal heuristics and dimensionless number correlations under the ribs in a PEMFC using a single phase nonisothermal PEMFC model in the finite ele ment code
emission in galaxies at z12: Evidence for cold flow accretion powered star formation in the
Spoon, Henrik
PDRs, extending to kpc scales. We suggest that the star formation mode in these systems follows to the observed [CII] line. Subject headings: galaxies: evolution, star formation, PDRs, PAHs, shocks #12; 3 1Strong C+ emission in galaxies at z12: Evidence for cold flow accretion powered star formation
Power Control and Optimization of Photovoltaic and Wind Energy Conversion Systems /
Ghaffari, Azad
20130101T23:59:59.000Z
solar irradiance, and wind speed. Maximum Power Point Tracking (Tracking Since PV and WECS power level are defined by the environmental param eters like solar
Using the NOABL flow model and mathematical optimization as a micrositing tool
Wegley, H.L.; Barnard, J.C.
19861101T23:59:59.000Z
This report describes the use of an improved massconsistent model that is intended for diagnosing wind fields in complex terrain. The model was developed by merging an existing massconsistent model, the NOABL model, with an optimization procedure. The optimization allows objective calculation of important model input parameters that previously had been supplied through guesswork; in this manner, the accuracy of the calculated winds has been greatly increased. The report covers such topics as the software structure of the model, assembling an input file, processing the model's output, and certain cautions about the model's operation. The use of the model is illustrated by a test case.
HighHarmonic FastWave Power Flow Along Magnetic Field Lines in the ScrapeOff Layer of NSTX
Perkins, R. J. [Princeton Plasma Physics Laboratory (PPPL); Hosea, J. [Princeton Plasma Physics Laboratory (PPPL); Kramer, G. [Princeton Plasma Physics Laboratory (PPPL); Ahn, Joonwook [ORNL; Bell, R. E. [Princeton Plasma Physics Laboratory (PPPL); Diallo, A. [Princeton Plasma Physics Laboratory (PPPL); Gerhardt, S. [Princeton Plasma Physics Laboratory (PPPL); Gray, T. K. [Oak Ridge National Laboratory (ORNL); Green, David L [ORNL; Jaeger, Erwin Frederick [ORNL; Jaworski, M. A. [Princeton Plasma Physics Laboratory (PPPL); LeBlanc, B [Princeton Plasma Physics Laboratory (PPPL); McLean, Adam G [ORNL; Maingi, Rajesh [ORNL; Phillips, C. K. [Princeton Plasma Physics Laboratory (PPPL); Roquemore, L. [Princeton Plasma Physics Laboratory (PPPL); Ryan, Philip Michael [ORNL; Sabbagh, S. A. [Columbia University; Taylor, G. [Princeton Plasma Physics Laboratory (PPPL); Wilson, J. R. [Princeton Plasma Physics Laboratory (PPPL)
20120101T23:59:59.000Z
A significant fraction of highharmonic fastwave (HHFW) power applied to NSTX can be lost to the scrapeoff layer (SOL) and deposited in bright and hot spirals on the divertor rather than in the core plasma. We show that the HHFW power flows to these spirals along magnetic field lines passing through the SOL in front of the antenna, implying that the HHFW power couples across the entire width of the SOL rather than mostly at the antenna face. This result will help guide future efforts to understand and minimize these edge losses in order to maximize fastwave heating and current drive.
Qin, Wensheng
. The use of methanol as solvent at the optimal conditions proved to be potential in making the system more. Introduction The world biodiesel production has been boosted in recent years owing to an increasing demand of renewable and sustainable energy. Glycerol is produced as a byproduct in the process of biodiesel production
Improving electricity production in tubular microbial fuel cells through optimizing the anolyte h l i g h t s " The spiral spacers improve electricity production in tubular microbial fuel cells fuel cells Spiral spacers Energy Wastewater treatment a b s t r a c t The use of spiral spacers
Recent developments in modelbased optimization and control of subsurface flow
Van den Hof, Paul
; identifiability; model reduction. 1. INTRODUCTION The production of oil and gas from petroleum reservoirs the pores of subsurface rock lay ers. The production life of a petroleum reservoir generally lasts a number configurations and production strategies, but an emerging use is in the 'realtime' optimization and control
Approximating an Optimal Production Policy in a Continuous Flow Line: Recurrence and Asymptotic
VázquezAbad, Felisa J.
, production planning and schedul ing, producetostock, buffer size, buffer control, JIT systemsprone tandem machines. The production is regulated by a continuous version of buffer control. Our goal that for each feasible machine state, the optimal production control policy is to move the inventory levels
Zhang, Fan
20120214T23:59:59.000Z
(service) LMP Location Marginal Price LP Linear Programming (optimization problem) MPC Model Predictive Control OPEX Operating Expenses SOC, SoC State of Charge of the ESS SMP System... and the electricity price for each area is called Local Marginal Price (LMP). b. Intraday Energy Market (Elbas) Intraday Energy Market (Elbas) serves as an adjustment market after dayahead market. This market provides power producers and consumers opportunity...
Pappas, George J.
consumption with the conventional linear quadratic regulator control cost. A method to separate the designs is to design plant control and power management policies to minimize an infinite horizon cost combining power plant performance and power consumption, we study plant input design and power control that minimize
Power Control and Optimization of Photovoltaic and Wind Energy Conversion Systems /
Ghaffari, Azad
20130101T23:59:59.000Z
77 5.2 Wind Energy Conversion System . . . . .Optimization and Control in Wind Energy Conversion SystemsAC matrix con verter for wind energy conversion system,” in
DataSemantics Driven Power Optimization of Wireless Medical Monitoring Devices
Goudar, Vishwatma Arun
20130101T23:59:59.000Z
Kaiser. “MicroLEAP: Energyaware Wireless Sensor PlatformAdaptive Strategy for Energy Efficiency in Wireless Medicaljid Sarrafzadeh. “Energy optimization in wireless medical
Kolb, Gregory J. (Albuquerque, NM)
20120207T23:59:59.000Z
A suctionrecirculation device for stabilizing the flow of a curtain of blackened heat absorption particles falling inside of a solar receiver with an open aperture. The curtain of particles absorbs the concentrated heat from a solar mirror array reflected up to the receiver on a solar power tower. External winds entering the receiver at an oblique angle can destabilize the particle curtain and eject particles. A fan and ductwork is located behind the back wall of the receiver and sucks air out through an array of small holes in the back wall. Any entrained particles are separated out by a conventional cyclone device. Then, the air is recirculated back to the top of the receiver by injecting the recycled air through an array of small holes in the receiver's ceiling and upper aperture front wall. Since internal air is recirculated, heat losses are minimized and high receiver efficiency is maintained. Suctionrecirculation velocities in the range of 15 m/s are sufficient to stabilize the particle curtain against external wind speeds in excess of 10 m/s.
Power plant degradation : a modular secondary plant and integral flow accelerated corrosion model
Van der Helm, Mark Johan, 1972
20010101T23:59:59.000Z
Flow Accelerated Corrosion (FAC) is the most prevalent material degradation mechanism for low carbon steel in steamwater flow systems. The band of uncertainty in predictions of wear rate due to FAC spans one to two orders ...
Highly optimized tolerance and power laws dense and sparse resource regimes J. Carlson,
Carlson, Jean
resource regime. agrees well data wildfires, web sizes, electric power outages. However, another HOT model Control Dynamical Systems Electrical Engineering, California Institute Technology, Pasadena, California investigated in context variety specific applications, including Internet #8,9#, electric power #10#, wildfires
Computation of the maximum loadability of a power system using nonlinear optimization
Khabirov, Abdufarrukh
20010101T23:59:59.000Z
In recent years, power systems have undergone radical changes by becoming deregulated. Many electric companies have met new requirements and found ways to keep up with the changes in power systems. Issues of transfer capability and maximum...
Modeling, Design and Optimization of IC Power Delivery with OnChip Regulation
Lai, Suming
20141211T23:59:59.000Z
and performance, additional power overheads arise due to the loss associated with voltage conversion and parasitic resistance in the metal wires. Hence, one of the key IC power delivery design challenges is to develop voltage conversion/regulation circuits...
Power Control and Optimization of Photovoltaic and Wind Energy Conversion Systems /
Ghaffari, Azad
20130101T23:59:59.000Z
Output power leveling of wind turbine generator for allpower map of Distributed Generators (DG), including Photo voltaic (PV) and WindGenerator (IG) stator. Introduction A variable speed wind turbine generates power
Combinational logic optimization for low power using implicationbased transformations
Swarna, Madhukiran V.
19970101T23:59:59.000Z
The demand for portable equipment has increased the emphasis on lowpower designs. Higher power consumption results in shorter batterylifetime of portable electronic devices. As a result larger batteries are required for ...
OPTIMIZATION OF THE PARAMETERS OF A STORAGE RING FOR A HIGH POWER XUV FREE ELECTRON LASER
Jackson, A.
20100101T23:59:59.000Z
A.M. Sessler. 'free Electron Laser . LBL l 8905 (JanuaryFOR A HIGH POWER XUV FREE ELECTRON LASER. A. Jackson, J.for a High Power XUV Free Electron Laser," (LBL'19771, June,
CHANNELS WITH ALIEN CROSSTALK Vincent Le Nir, Marc Moonen, Jan Verlinden Katholieke Universiteit Leuven of do main or alien crosstalk requires a more advanced processing. In vector channels, Multiple Input. In this paper, we investigate the problem of power allocation in xDSL vector channels under indomain and alien
Palaniappan, Arun
20120214T23:59:59.000Z
), ring resonator modulator (RRM), or MachZehnder modulator (MZM) sources. The normalized transistor parameters are applied to jointly optimize the transmitter and receiver circuitry to minimize total optical link power dissipation for a specified data...
Noble, Pascal
20120101T23:59:59.000Z
In this paper we derive consistent shallow water equations for thin films of power law fluids down an incline. These models account for the streamwise diffusion of momentum which is important to describe accurately the full dynamic of the thin film flows when instabilities like rollwaves arise. These models are validated through a comparison with Orr Sommerfeld equations for large scale perturbations. We only consider laminar flow for which the boundary layer issued from the interaction of the flow with the bottom surface has an influence all over the transverse direction to the flow. In this case the concept itself of thin film and its relation with long wave asymptotic leads naturally to flow conditions around a uniform free surface Poiseuille flow. The apparent viscosity diverges at the free surface which, in turn, introduces a singularity in the formulation of the OrrSommerfeld equations and in the derivation of shallow water models. We remove this singularity by introducing a weaker formulation of Cauc...
Design and optimization of highperformance lowpower CMOS VLSI interconnects
Zhang, Yulei
20110101T23:59:59.000Z
Optimization Using Tritonic Step Response. In Proc. IEEE/ACMe?ciently based on stepresponse of Tline. The algorithm ?as the superposition of step responses y(t) = N s r (t ? k i
Optimal relay location and power allocation for low SNR broadcast relay channels
Thakur, Mohit
We consider the broadcast relay channel (BRC), where a single source transmits to multiple destinations with the help of a relay, in the limit of a large bandwidth. We address the problem of optimal relay positioning and ...
TCOM060462 1 Full vectoring optimal power allocation in xDSL
systems, Optimization methods I. INTRODUCTION The growing demand for high speed services in access copper pairs, allowing customers to be served with higher bitrates through the usage of adequate Multiple
Zebian, Hussam
20140101T23:59:59.000Z
Efficient and clean electricity generation is a major challenge for today's world. Multivariable optimization is shown to be essential in unveiling the true potential and the high efficiency of pressurized oxycoal combustion ...
A Global Optimization Approach to the Design of Solar Power Plants
20140508T23:59:59.000Z
May 8, 2014 ... Keywords: solar thermal power, heliostat field layout, thermo ... at a high temperature is then transferred to the heat transfer fluid to produce.
Ramanujam, J. "Ram"
 and a is the average number of transitions per clock phase heuristic for peak and average power cycle at the gate
Rogelio, Garcia Retegui; Gustavo, Uicich; Mario, Benedetti; Gilles, Le Godec; Konstantinos, Papastergiou
20150101T23:59:59.000Z
In the framework of a Transfer line (TT2) Consolidation Programme, a number of studies on Energy cycling have been commissioned. Part of this work involves the study of dierent power electronic system topologies for magnet energy recovery. In this report, the use of a boost frontend converter supplying DC link of a 4quadrant magnet supply is analysed. The key objective of the study is to find control strategies that result in the control of the peak power required from the power network as well as to recover the magnet energy into capacitor banks with controlled voltage fluctuation. The study comprises the modelling of the system by means of the method of state averaging and the development of regulation strategies to energy management. The proposed control strategies can be divided in two groups: in the first group, the magnet current is used to define the reference for the control system, while in the second group this current is unknown and some strategies are devised to limit the power drawn from the el...
Membranes Optimized for High Conductivity and Low Crossover of Redox Flow
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by Email Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default Sign InCenter3.82MappingEnergy: ANSSAB Membership Acceptance ofCellsCells
Davis, Michael A.
20111021T23:59:59.000Z
Single Duct Variable Air Volume (SDVAV) systems use series and parallel Fan Powered Terminal Units to control the air flow in conditioned spaces. This research developed a laboratory verified model of SDVAV systems that used series and parallel fan...
Journal of Power Sources 142 (2005) 117124 Pressure drop behavior in the anode flow field of
Zhao, Tianshou
20050101T23:59:59.000Z
house fabricated direct methanol fuel cell (DMFC). The anode flow field consisted of a single serpentine flow PEM fuel cells, a liquid feed direct methanol fuel cell (DMFC), using a solid polymer membrane for portable electronic devices, electric vehicles, and other mobile and stationery ap plications. Driven
Suction recirculation and its effects upon axialflow pump power consumption
Prince, Tony M.
19830101T23:59:59.000Z
strainer containing a metal screen cartridge is installed and acts as a water filter. Two gate valves are placed at the suction and the discharge and are used to throttle the flow. Two tubular flow straighteners, made of 1/2 inch diameter copper tubings...
Highly optimized tolerance and power laws in dense and sparse resource regimes M. Manning,1
Carlson, Jean
with data for wildfires, web file sizes, and electric power outages. However, another HOT model, based, USA 2 Department of Control and Dynamical Systems and Electrical Engineering, California Institute in the context of a variety of specific applications, including the Internet 8,9 , the electric power grid 10
Optimal Power Scheduling for Correlated Data Fusion in Wireless Sensor Networks Via
Jayaweera, Sudharman K.
in many WSN applications over the centralized approach since it drastically reduces communication resource power WSN is limited by resource constraints, namely power and bandwidth. In a typical WSN is considered to be a core issue in designing a WSN. A. Related work The problem of distributed detection
SMAPEL: Monotonic Optimization for Nonconvex Joint Power Control and Scheduling Problems
Huang, Jianwei
generation wireless networks. Transmission power control in wireless networks has been extensively studiedlimited wireless networks where si multaneous transmissions on nearby links heavily interfere with each other of concurrently active links as well as the flexibility to vary power allocation over time gives rise to a series
Startup Optimization of a Combined Cycle Power Plant A. Linda, E. Sllberga,
, Modeling 1 Introduction In a time when the production from renewable energy sources is steadily growing are obtained by simulating Modelica power plant models. The study has been carried out to de velop simplified and the models were based on the Mod elica ThermoPower library, see Casella and Leva, [2]. A model
Optimal Multiscale Capacity Planning for PowerIntensive Continuous Processes under
Grossmann, Ignacio E.
time basis. A set of measures, such as cogeneration, microgrids, future storage technologies and demand States. At the same time, the power grid is in transition to the socalled smart grid with the ambition side management (DSM), is expected to play an important role in helping today's power grid, mastering
He, Zhihai "Henry"
RateDistortion Optimization Zhihai He, Wenye Cheng, and Xi Chen £ Department of Electrical and Computer Engineering University framework to save the data processing energy and extend the operational lifetime of portable video communication devices. Video compression is computationally intensive and energyconsuming. However, portable
Optimal meter placement and transactionbased loss allocation in deregulated power system operation
Ding, Qifeng
20050217T23:59:59.000Z
(OPF) algorithm to optimize the loss compensation if some transactions elect to purchase the loss service from the Independent System Operator (ISO) and accordingly the incurred losses are fairly allocated back to individual transactions. IEEE test.......................................................................................................43 3.2 Previous Work................................................................................................44 3.3 Transaction Framework Formulation.............................................................45 3.3.1 Transaction Framework...
Optimal Power Policy for Energy Harvesting Transmitters with Inefficient Energy Storage
Yener, Aylin
efficiencies is discussed. Index TermsEnergy harvesting, optimal scheduling, wireless networks, battery equipped nodes, inefficient energy storage. I. INTRODUCTION Harvesting ambient energy in wireless networks the desired performance. For this reason, it is important to model and analyze energy harvesting wireless
Stankoviæ, Aleksandar
/NewYork intercon nected power system. Keywords  Optimization methods, Power flow analysis, Power system economics, Power system security, Uncertainty. I. INTRODUCTION NERGY processing systems share a number of features and uncertainties in parameter values. In the power systems context, the problem of component failure and parameter
A Geometrical Approach for Power Optimization in RelayBased Cellular
Coupechoux, Marceau
,2 , Maode Ma1 , Marceau Coupechoux2 , and Philippe Godlewski2 1 Nanyang Technological University, Nanyang.edu.sg (Maode Ma); coupecho@enst.fr (Marceau Coupechoux); godlewsk@enst.fr (Philippe Godlewski) power allocation
Wang, Chunyun, 1968
20030101T23:59:59.000Z
The Modular Pebble Bed Reactor system (MPBR) requires a gas turbine cycle (Brayton cycle) as the power conversion system for it to achieve economic competitiveness as a GenIV nuclear system. The availability of controllable ...
Power Control and Optimization of Photovoltaic and Wind Energy Conversion Systems /
Ghaffari, Azad
20130101T23:59:59.000Z
power at the wind turbine shaft as the cost func tion asstructure, cost, and land occupation. In wind turbines, thecost. Since the P&O method adds delay, it is not practical for medium and largeinertia wind turbine
Optimization of a SteadyState TokamakBased Power Plant
Approaching COE insensitive of power density Evolution of ARIES Designs 10Cost of Electricity (c/kWh) 0 on fusion core (lower peak/average ratios). For firststability devices (monotonic q profile), optimum
A method to determine the optimal features for control of a powered lowerlimb prostheses
Farrell, Matthew T.
Lowerlimb prostheses are rapidly advancing with greater computing power and sensing modalities. This paper is an attempt to begin exploring the tradeoff between extrinsic and intrinsic control modalities. In this case, ...
Development of optimized core design and analysis methods for high power density BWRs
Shirvan, Koroush
20130101T23:59:59.000Z
Increasing the economic competitiveness of nuclear energy is vital to its future. Improving the economics of BWRs is the main goal of this work, focusing on designing cores with higher power density, to reduce the BWR ...
Naval ship propulsion and electric power systems selection for optimal fuel consumption
Sarris, Emmanouil
20110101T23:59:59.000Z
Although propulsion and electric power systems selection is an important part of naval ship design, respective decisions often have to be made without detailed ship knowledge (resistance, propulsors, etc.). Propulsion and ...
Cleaning process development and optimization in the surface mount assembly line of power modules
Mukherjee, Ishan
20110101T23:59:59.000Z
The cleaning process in the surface mount assembly line of power modules had been found to insufficiently remove solder flux residue from printed circuit board (PCB) assemblies after the process of reflow soldering. This ...
Thermal desalination : structural optimization and integration in clean power and water
Zak, Gina Marie
20120101T23:59:59.000Z
A large number of resources are dedicated to seawater desalination and will only grow as worldwide water scarcity increases. In arid areas with high temperature and salinity seawater, thermal desalination and power plants ...
Gallant, Betar M. (Betar Maurkah)
20080101T23:59:59.000Z
Compressive stress applied to the electrode area of a Proton Exchange Membrane (PEM) fuel cell is known to significantly affect power output. In practice, electrode stress arises during operation due to the clamping force ...
Feasibility Study of a MultiPurpose Computer Program for Optimizing Heat Rates in Power Cycles
Menuchin, Y.; Singh, K. P.; Hirota, N.
19810101T23:59:59.000Z
A study of currently available commercial codes which evaluate the thermal performance of turbine cycles in power plants is presented. The analytical basis, capabilities, and possible applications of these codes are described. A survey of some user...
Optimization and operation of a cementation plant in the Atucha I Nuclear Power Plant
Schifferdecker, H. [Kraftanlagen Energie und Industrieanlagen Heidelberg (Germany)
19951231T23:59:59.000Z
The quality of conditioned radioactive waste must constantly be improved to keep pace with technical progress. To meet these everincreasing demands it is necessary to modernize existing plants for the treatment of radioactive waste. The Atucha I NPP has been in operation since 1974 and the cementation plant no longer conformed with today`s requirements regarding safe operation and product quality. The optimization of the plant mainly involved the execution of the following points: Dismantling of existing plant sections to enable the installation of new and supplementary components; Installation of new and supplementary plant sections (components); Integration of the new system into the existing plant; and Commissioning of the new plant and operation of the plant using the optimized process for the duration of 60 calendar days. 200 barrels were to be cemented during this period.
Energy Savings Opportunities through Combined Heat and Power Systems Optimization Model Case Studies
Owaidh, M.
20150101T23:59:59.000Z
Use Energy Savings Opportunities Through CHP Optimization Models IETC, Jun 24 2015 © Copyright 2015, Saudi Aramco. All rights reserved. ESLIE150607 Proceedings of the ThritySeventh Industrial Energy Technology Conference New Orleans, LA. June 2...4, 2015 Saudi Aramco: Company General Use Outline: • Introduction – Overview of CHP models – Current Reality • Case Study – Correlations development – Analysis • Conclusion ESLIE150607 Proceedings of the ThritySeventh Industrial Energy Technology...
Optimal Power System and Grid Interface Design Considerations for the CLICs Klystron Modulators
Marija, Jankovic; Jon, Clare; Pat, Wheeler; Davide, Aguglia
20150101T23:59:59.000Z
The Compact Linear Collider (CLIC) is an electronpositron collider under study at CERN with the aim to explore the next generation of high precision/high energy particles physics. The CLIC’s drive beams will be accelerated by approximately 1300 klystrons, requiring highly efficient and controllable solid state capacitor discharge modulators. Capacitor charger specifications include the requirement to mask the pulsed effect of the load from the utility grid, ensure maximum power quality, control the derived DC voltage precisely (to maximize accuracy for the modulators being implemented), and achieve high efficiency and operability of the overall power system. This paper presents the work carried out on the power system interface for the CLIC facility. In particular it discusses the challenges on the utility interface and analysis of the grid interface converters with regards to required functionality, efficiency, and control methodologies.
IEEE TRANSACTIONS ON POWER SYSTEMS (ACCEPTED) 1 Sparse Overcomplete Representations for
Giannakis, Georgios
Identification of Power Line Outages Hao Zhu, Student Member, IEEE, and Georgios B. Giannakis, Fellow, IEEE AbstractFast and accurate unveiling of power line outages is of paramount importance not only estimation, optimal power flow, realtime contingency analysis, and thus security assessment of power systems
Optimal site selection and sizing of distributed utilityscale wind power plants
Milligan, M.R. [National Renewable Energy Lab., Golden, CO (United States); Artig, R. [Minnesota Dept. of Public Service, St. Paul, MN (United States)
19980401T23:59:59.000Z
As electric market product unbundling occurs, sellers in the wholesale market for electricity will find it to their advantage to be able to specify the quantity of electricity available and the time of availability. Since wind power plants are driven by the stochastic nature of the wind itself, this can present difficulties. To the extent that an accurate wind forecast is available, contract deviations, and therefore penalties, can be significantly reduced. Even though one might have the ability to accurately forecast the availability of wind power, it might not be available during enough of the peak period to provide sufficient value. However, if the wind power plant is developed over geographically disperse locations, the timing and availability of wind power from these multiple sources could provide a better match with the utility`s peak load than a single site. There are several wind plants in various stages of planning or development in the US. Although some of these are smallscale demonstration projects, significant wind capacity has been developed in Minnesota, with additional developments planned in Wyoming and Iowa. As these and other projects are planned and developed, there is a need to perform analysis of the value of geographically diverse sites on the efficiency of the overall wind plant. In this paper, the authors use hourly windspeed data from six geographically diverse sites to provide some insight into the potential benefits of disperse wind plant development. They provide hourly wind power from each of these sites to an electric reliability simulation model. This model uses generating plant characteristics of the generators within the state of Minnesota to calculate various reliability indices. Since they lack data on wholesale power transactions, they do not include them in the analysis, and they reduce the hourly load data accordingly. The authors present and compare results of their methods and suggest some areas of future research.