Relevant bibliographies by topics / Power plants

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Power plants'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Power plants"

1

Zholubak, Ivan, and V. Matviiets. "Tracker for solar power plants." Computer systems and network 4, no. 1 (December 16, 2022): 37–46. http://dx.doi.org/10.23939/csn2022.01.037.

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The article investigates a device for tracking the position of the sun during the day - a tracker for solar power plants. The practice of using solar trackers as a device to increase the efficiency of solar power plants is considered. The relevance of this development in Ukraine and prospects for its development are determined. Methods and principles of increasing the efficiency of solar energy production, expediency of using trackers for solar power plants are analyzed. The aim of the article is to present the stages of development of a biaxial solar tracker and the algorithm of the controlling the angle of inclination of solar panels placed on a moving platform, relative to the obtained data on the position of the sun. The article presents a tracker for solar power plants, its structure and algorithm. It is stated that the principle of operation is to analyze the current position of the sun and automatically set the movable platform with solar panels in the most effective position.
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Como, June M. "POWER PLANTS." AJN, American Journal of Nursing 108, no. 5 (May 2008): 14. http://dx.doi.org/10.1097/01.naj.0000317977.48501.9e.

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Yeang, Ken. "Power Plants." Architectural Design 77, no. 3 (2007): 130–31. http://dx.doi.org/10.1002/ad.472.

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Kumagai, Jean. "Virtual power plants, real power." IEEE Spectrum 49, no. 3 (March 2012): 13–14. http://dx.doi.org/10.1109/mspec.2012.6156852.

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Bowman, Charles D. "Accelerator Power Plants." Science 263, no. 5143 (January 7, 1994): 14–15. http://dx.doi.org/10.1126/science.263.5143.14.c.

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Avtushenko, Nikolai Aleksandrovich, and Gennady Sergeyevich Lenevsky. "NUCLEAR POWER PLANTS." Вестник Белорусско-Российского университета, no. 4 (2017): 128–36. http://dx.doi.org/10.53078/20778481_2017_4_128.

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Rigby, Peter N. "Merchant Power Plants." Journal of Structured Finance 5, no. 1 (April 30, 1999): 27–42. http://dx.doi.org/10.3905/jsf.1999.320178.

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Stern, Laura. "Merchant Power Plants." Journal of Structured Finance 4, no. 3 (October 31, 1998): 47–55. http://dx.doi.org/10.3905/jsf.4.3.47.

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Bowman, C. D. "Accelerator Power Plants." Science 263, no. 5143 (January 7, 1994): 14–15. http://dx.doi.org/10.1126/science.263.5143.14-b.

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Brown, Alastair. "Committed power plants." Nature Climate Change 8, no. 6 (May 30, 2018): 457. http://dx.doi.org/10.1038/s41558-018-0193-y.

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Dissertations / Theses on the topic "Power plants"

1

Rosso, Stefano. "Power Plant Operation Optimization Economic dispatch of combined cycle power plants." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264350.

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As electricity production from renewable sources increases, higher flexibility is required by fossil fuel generation to cope with the inherent fluctuations of solar and wind power. This results in shorter operating cycles and steeper ramps for the turbines, and more uncertainty for the operators. This thesis work applies mathematical optimization and statistical learning to improve the economic dispatch of a combined cycle power plant composed by two separate blocks of two gas turbines and one steam turbine. The goal is to minimize the input fuel to the gas turbines while respecting a series of constraints related to the demand the plant faces, power generation limits etc. This is achieved through the creation of a mathematical model of the plant that regulates how the plant can operate. The model is then optimized to reduce fuel consumption at a minimum. Machine learning techniques have been applied to sensor data from the plant itself to realistically simulate the behavior of the turbines. Input-Output curves have been obtained for power and exhaust heat generation of all the turbines using ordinary least squares on monthly data with a ten minutes sampling rate. The model is cross-validated and proven statistically valid. The optimization problem is formulated through generalized disjunctive programming in the form of a mixed-integer linear problem (MILP) and solved using a branch-and-bound algorithm. The output of the model is a one-week dispatch, in fifteen minutes intervals, carried out for two months in total. Lower fuel consumption is achieved using the optimization model, with a weekly reduction of fuel consumed in the range of 2-4%. A sensitivity analysis and a correlation matrix are used to highlights the demand and the maximum available capacity as critical parameters. Results show that the most efficient machines (alternatively, the ones with highest available capacity) should be operated at maximum load while still striving for an efficient utilization of the exhaust gas.
När elproduktionen från förnybara källor ökar krävs högre flexibilitet av fossil bränsleproduktion för att hantera fluktuationerna från sol- och vindkraft. Detta resulterar i kortare driftscykler och brantare ramper för turbinerna och mer osäkerhet för operatörerna. Detta avhandlingsarbete tillämpar matematisk optimering och statistisk inlärning för att förbättra det ekonomiska utnyttjandet av en kombicykel i ett kraftverk som består av två separata block med två gasturbiner och en ångturbin. Målet är att minimera bränsleförbrukningen hos gasturbinerna samtidigt som man tar hänsyn till en serie av villkor relaterade till efterfrågan som anläggningen står inför, kraftproduktionsbegränsningar etc. Detta uppnås genom skapandet av en matematisk modell för anläggningen som reglerar hur anläggningen kan fungera. Modellen är sedan optimerad för minsta möjliga bränsleförbrukning. Maskinteknik har använts på sensor data från själva anläggningen för att realistiskt simulera turbinernas beteende. In och utdata kurvor har erhållits för kraftproduktion och avgasvärmeproduktion med hjälp av ordinary least squares (OLS) med månads data och med en tio minuters samplingshastighet. Modellen är korsvaliderad och bevisad statistiskt giltig. Optimeringsproblemet formuleras genom en generaliserad disjunktiv programmering i form av ett mixed-integer linear problem (MILP) och löses med hjälp av en Branch-and-Bound algoritm. Resultatet från modellen är en veckas värden, med femton minuters intervall, totalt i två månader. Lägre bränsleförbrukning uppnås med hjälp av optimeringsmodellen, med en vecka minskad bränsleförbrukning i intervallet 2-4%. En känslighetsanalys och en korrelationsmatris används för att visa efterfrågan och den maximala tillgängliga kapaciteten som kritiska parametrar. Resultaten visar att de mest effektiva maskinerna (alternativt de med högsta tillgängliga kapacitet) bör drivas med maximal belastning medan de fortfarande strävar efter ett effektivt utnyttjande av avgaserna.
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Mir, Cantarellas Antonio. "Competitive power control of distributed power plants." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/552958.

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Nowadays, the electrical energy sector is currently found in a dramatic changing paradigm, which moves towards an increasing trend in generating power at distribution levels, where electricity is typically consumed, by means of non-conventional/renewable based generation units. These new generation technologies, termed as distributed generation, not only offers a non-pollutant, cheap and efficient source of energy to cover increasing demand, but also enhance the reliability of supply to critical loads and reduce the need for additional grid reinforcements. Aside of the technical benefits provided, distributed generation will massively integrate renewable energy resources, with new type of loads and end-user actors, such as prosumers, demand responsive loads, or electric vehicles. Where these actors will actively participate in energy and auxiliary service markets, depending on their available or constrained energy needs. For this reason, the work presented in this Thesis deals with designing and implementing advanced hierarchical control solutions to renewable-based power plants with the purpose of achieving advanced grid conection performance while reaching maximum economic benefits from its optimum real-time operation. Initially, an extensive analysis on the main renewable-based power plant hierarchical control solutions currently on the shelf, is performed. This study not only covered the specific case of renewable-based power plants, but also advanced microgrid and smart grid control solutions. Once the main renewable-based power plant hierarchical solutions were analized, a novel Hierarchical Distributed Control Structure (HDCS) is proposed for increased management of renewable-based active distributed plants. This hierarchical control structure comprises all possible functional levels from the higher long-term economic scheduling layer, to the instantaneous supervisory control of the resource, emphasizing the entire operation and control functionalities needed for increasing the integration of active distributed power plants. In order to achieve real-time control capabilities in active distribution systems, the present thesis introduces a novel power sharing control strategy, based on the competitive operation of multiple active participating agents (distributed generators, demand response and energy storage systems) through the implementation of market rules. Such control capabilities are satisfied by applying a price control signal over the entire grid control architecture, being the final-end participating agent, the responsible entity in charge of deciding its own generation/demand involvement based on its marginal or affordable electricity costs. In addition, it reduces the information volume to be transmitted and processing requirements, as the higher control levels do not need to have knowledge on the detailed distribution system topology and contributing actors. In order to have a meaningful evaluation of the proposed competitive control capabilities, a wave power plant application has been selected, which constitutes a challenging scenario for the controller itself to achieve advanced real-time control capabilities in such an oscillating renewable energy resource. In order to suitably characterize the wave energy resource profile resulting from maximum energy absorption, this Thesis introduce a novel adaptive vector controller, which maximizes the energy extraction from the resource regardless of the dominant irregular wave frequency characteristics. For the specific wave power plant application considered, the competitive control does not only ensures real-time optimum resource allocation for satisfying a given production objective, but also provides optimum long term operation of the system. As a result, overall plant costs reductions can be achieved under the competitive operation, since the plant scheduled energy is satisfied by making use of the generation units with cheaper cumulative operation costs
Actualmente, el sector eléctrico se encuentra inmerso en un profundo proceso de restructuración, donde de cada vez más se tiende a generar energía a nivel de distribución, mediante el uso de generación no convencional/renovable. Estas nuevas tecnologías de generación, referidas como generación distribuida, no proporcionan unicamente una fuente de energía no-contaminante, barata y eficiente para cubrir el incremento de demanda, sinó que también pueden proporcionar seguridad de suministro a cargas críticas, así como reducir la necesidad de expansiones futuras de red. Además de las capacidades técnicas proporcionadas, la generación distribuida hará posible la integración masiva de sistemas de generación renovable, con nuevos tipos de cargas y usuarios finales, como prosumidores, cargas regulables, o vehiculos eléctricos, donde todos estos usuarios participaran activamente en mercados de energía y servicios auxiliares, dependiendo de sus requisitos de uso de energía. Por lo tanto, el trabajo realizado en esta tesis se centra en el diseño e implementación de soluciones jerárquicas de control avanzado en plantas de generación renovable, con el objetivo de obtener un comportamiento harmonioso de intercacción con la red, mientras la operación de la planta maximiza los beneficios derivados de su operación en tiempo real. Inicialmente, se ha llevado a cabo una revisión extensa sobre los sistemas de control jerárquico comunmente implementados en plantas de generación renovable, en microredes y en redes inteligentes. Una vez revisados los principales sistemas de control jerárquico en este tipo de aplicaciones, se propone un una novedosa estructura de control, que cubre todos los niveles de control posibles, desde el más alto nivel de gestión económica, hasta el control detallado del recurso de generación. Para lograr capacidades de control en tiempo real en sistemas activos de distribución, la presente tesis propone una nueva estrategia de control de reparto de potencia, basada en la operación competitiva de múltiples agentes participantes activos (generadores distribuidos, respuesta de demanda y sistemas de almacenamiento de energía) mediante la implementación de reglas del mercado. Dichas capacidades de control se satisfacen aplicando una señal de precio a lo largo de toda la arquitectura de control, siendo el agente de final, el ente responsable de decidir su propia participación en la generación/demanda en función de sus propios costes de electricidad marginales o asumibles. Además, reduce el volumen de información a transmitir y los requisitos de procesamiento de datos, ya que los niveles de control más altos no necesitan tener conocimiento sobre la topología del sistema de distribución detallado ni de la contribución de los actores adyacentes. Para llevar a cabo una evaluación significativa de las capacidades del controlador competitivo propuesto, se ha seleccionado una planta de generación undimotriz, como escenario más desfavorable, ya que el controlador debe asegurar un control estable de la potencia inyectada en un escenario altamente oscilante. Con el fin de caracterizar adecuadamente el perfil de recursos de energía de las olas resultante de la máxima absorción de energía, esta Tesis introduce un nuevo controlador de vector adaptativo, que maximiza la extracción de energía del recurso independientemente de las características dominantes de frecuencia de onda irregular. Para la aplicación de la planta de energía de onda específica considerada, el control competitivo no solo garantiza la asignación óptima de recursos en tiempo real para satisfacer un objetivo de producción dado, sino que también proporciona una operación óptima del sistema a largo plazo. Como resultado, se pueden lograr reducciones generales de los costos de la planta en el marco de la operación competitiva, ya que la energía programada de la planta se satisface haciendo uso de las unidad
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Shams, Solary Arasto. "Wind power plants integration to the power grid." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-200633.

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Newman, Guy. "Characterisation of virtual power plants." Thesis, University of Manchester, 2010. https://www.research.manchester.ac.uk/portal/en/theses/characterisation-of-virtual-power-plants(5e647750-5a44-40f0-8a33-763361d3a50b).html.

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The growing number of micro generation devices in the electrical network is leading many to consider that these devices can no longer be considered as fit and forget, but should instead be considered as having a demonstrable network impact which should be predicted and utilised. One of the techniques for considering the impacts of these devices is the Virtual Power Plant (VPP). The VPP is the aggregation of all the Distributed Generation (DG) connected into the network up to and including the connection voltage of the VPP, such that the cumulative power up the voltage levels can be seen in the single VPP unit, rather than across a broad spread of devices. One of the crucial tasks in characterising the VPP, developed in this work, is the ability to correctly predict and then aggregate the behaviour of several technology types which are weather driven, as a large proportion of DG is weather driven. Of this weather driven DG, some can only typically be dispatched with modification and the rest cannot be dispatched at all. The aggregation of the VPP as part of the electrical network is also developed, as the constraints of the network and the reliability of the network cannot be overlooked when considering the aggregation of the VPP. From a distribution network operator's (DNO) perspective, these characterisation models can be used to highlight problems in the network introduced by the addition of DG, but are also generally utilitarian in their role of predicting the power output (or negative load) found throughout the network due to DG. For a commercial agent interested in selling energy, these models allow for accurate predictions of energy to be determined for the trading period. A VPP agent would also be adversely affected by line failure in the network, leading to the development of an N-1 analysis based upon reliability rates of the network, which is used as the basis for a discussion on the impacts of single line failure and the mitigation available through feedback from the DNO.
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Adu, James Amankwah <1990&gt. "Participation of wind power plants in power system stability." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amsdottorato.unibo.it/10109/1/PhD_Thesis_Final.pdf.

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The integration of large amounts of wind power in power systems coupled with the increasing replacement of large conventional synchronous generators by wind power plants (WPPs) presents a considerable impact on power system stability. This is partly because most WPPs, particularly variable speed wind turbine (VSWT) types, are connected to the network via power converters which decouples their output power from the grid frequency, and this results in considerable loss of system inertia. Also, VSWTs are in general operated at the maximum power point tracking, which makes them unable to increase their output power beyond the maximum power level for long-term frequency support. For this reason, it is important to develop control techniques that enable WPPs to participate in power system stability improvement. In literature, several studies have been reported on the frequency control provision of a wind turbines (WT), mainly classified into two categories: inertial response (IR) and primary frequency response (PFR). This work investigates the IR and PFR capabilities of VSWTs; the control schemes are presented in detail and the required energy buffers also discussed. For the IR, the electrostatic energy stored in the dc-link capacitors and the kinetic energy reserve of the WT rotors are utilised. The PFR service is guaranteed by a deloading scheme that reserves a portion of the maximum available power of the WT. Also, the possibility of providing both IR and PFR using external energy storage systems, in this work supercapacitors and battery energy storage system, has been considered. For each support scheme analysed, this work provides a comprehensive survey. This dissertation further proposes two coordinated control strategies that exploits the full potential of VSWTs to participate in power system frequency response enhancement and small-signal stability support. All the control schemes are developed and simulation studies performed on DIgSILENT PowerFactory simulation environment.
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Huang, Aiping. "An investigation of coastal fumigation effects on nuclear accident consequences in Hong Kong /." Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B17537149.

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Hassan, Mohamed Elhafiz. "Power Plant Operation Optimization : Unit Commitment of Combined Cycle Power Plants Using Machine Learning and MILP." Thesis, mohamed-ahmed@siemens.com, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-395304.

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In modern days electric power systems, the penetration of renewable resources and the introduction of free market principles have led to new challenges facing the power producers and regulators. Renewable production is intermittent which leads to fluctuations in the grid and requires more control for regulators, and the free market principle raises the challenge for power plant producers to operate their plants in the most profitable way given the fluctuating prices. Those problems are addressed in the literature as the Economic Dispatch, and they have been discussed from both regulator and producer view points. Combined Cycle Power plants have the privileges of being dispatchable very fast and with low cost which put them as a primary solution to power disturbance in grid, this fast dispatch-ability also allows them to exploit price changes very efficiently to maximize their profit, and this sheds the light on the importance of prices forecasting as an input for the profit optimization of power plants. In this project, an integrated solution is introduced to optimize the dispatch of combined cycle power plants that are bidding for electricity markets, the solution is composed of two models, the forecasting model and the optimization model. The forecasting model is flexible enough to forecast electricity and fuel prices for different markets and with different forecasting horizons. Machine learning algorithms were used to build and validate the model, and data from different countries were used to test the model. The optimization model incorporates the forecasting model outputs as inputs parameters, and uses other parameters and constraints from the operating conditions of the power plant as well as the market in which the plant is selling. The power plant in this mode is assumed to satisfy different demands, each of these demands have corresponding electricity price and cost of energy not served. The model decides which units to be dispatched at each time stamp to give out the maximum profit given all these constraints, it also decides whether to satisfy all the demands or not producing part of each of them.
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Squillaci, Carmen. "Gestione dell’energia in Virtual Power Plants." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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I confini delle risorse di energia distribuita sono in continua espansione negli ultimi anni con conseguenti cambiamenti nella gestione ottimizzata di energia nelle Smart Grid per soddisfare la domanda di energia, apportare miglioramenti alle condizioni ambientali e minimizzare i prezzi. Per raggiungere questo obiettivo si utilizza un Virtual Power Plant con al suo interno un gestore di energia che coordina le unit`a distribuite relative al sistema di energia elettrico. Questo lavoro di tesi sviluppa un modello per la gestione energetica all’interno di un Virtual Power Plant per decidere come e con quali fonti energetiche soddisfare la domanda di energia elettrica. Le decisioni riguardanti le quantita` ed il tipo di risorse energetiche utilizzate ad intervalli orari nell’arco di una giornata avvengono dinamicamente e dipendono da fattori variabili provenienti dalla disponibilit`a delle risorse di energia rinnovabili, dal costo dell’energia elettrica acquistata dalla rete esterna, dal costo del diesel, dai carichi associati ad utenze domestiche e dalla possibilit`a di immagazzinare o rilasciare energia all’interno dell’unit`a di storage. La soluzione `e calcolata mediante l’utilizzo di una funzione costo minimizzata la quale prende in considerazione solo i costi diretti relativi all’impianto VPP. Le conclusioni teoriche e le aspettative sono verificate mediante una simulazione di uno scenario reale.
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Cebeci, Mahmut Erkut. "The Effects Of Hydro Power Plants." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609282/index.pdf.

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This thesis proposes a method and develops a mathematical model for determining the effects of hydro power plants&rsquo
governor settings on the Turkish power system frequency. The Turkish power system suffers from frequency oscillations with 20 &ndash
30 seconds period. Besides various negative effects on power plants and customers, these frequency oscillations are one of the most important obstacles before the interconnection of the Turkish power system with the UCTE (Union for the Coordination of Transmission of Electricity) network. Taking observations of the system operators and statistical studies as an initial point, the effects of hydro power plants&rsquo
governor settings on the Turkish power system frequency are investigated. In order to perform system wide simulations, initially mathematical models for two major hydro power plants and their stability margins are determined. Utilizing this information a representative power system model is developed. After validation studies, the effects of hydro power plants&rsquo
governor settings on the Turkish power system frequency are investigated. Further computer simulations are performed to determine possible effects of changing settings and structure of HPP governors to system frequency stability. Finally, further factors that may have negative effects on frequency oscillations are discussed. The results of study are presented throughout the thesis and summarized in the &ldquo
Conclusion and Future Work&rdquo
chapter.
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Fillman, Benny. "System studies of MCFC power plants." Licentiate thesis, Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-419.

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Books on the topic "Power plants"

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Liu, Xingrang, and Ramesh Bansal. Thermal Power Plants. Boca Raton : Taylor & Francis, CRC Press, 2016.: CRC Press, 2016. http://dx.doi.org/10.1201/9781315371467.

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Winter, C. J., Rudolf L. Sizmann, and Lorin L. Vant-Hull, eds. Solar Power Plants. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-61245-9.

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Gasch, Robert, and Jochen Twele, eds. Wind Power Plants. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-22938-1.

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Petridis, Georgios K. Nuclear power plants. Hauppauge, N.Y: Nova Science Publishers, 2011.

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Precup, Radu-Emil, Tariq Kamal, and Syed Zulqadar Hassan, eds. Solar Photovoltaic Power Plants. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6151-7.

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Casal, Federico G. Solar Thermal Power Plants. Edited by Paul Kesselring and Carl-Jochen Winter. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-52281-9.

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Commission, Canadian Nuclear Safety, ed. Regulating nuclear power plants. [Ottawa]: Canadian Nuclear Safety Commission, 2003.

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Yang, Weijia. Hydropower Plants and Power Systems. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17242-8.

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Gretz, J., A. Strub, and W. Palz, eds. Thermo-Mechanical Solar Power Plants. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5402-1.

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S, White V., U.S. Nuclear Regulatory Commission. Division of Reactor Program Management., and Oak Ridge National Laboratory, eds. Owners of nuclear power plants. Washington, DC: Division of Reactor Program Management, Office of Nuclear Reactor Regulation, U.S. Nuclear Regulatory Commission, 2000.

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Book chapters on the topic "Power plants"

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Morales, Juan M., Antonio J. Conejo, Henrik Madsen, Pierre Pinson, and Marco Zugno. "Virtual Power Plants Virtual power plant." In International Series in Operations Research & Management Science, 243–87. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-9411-9_8.

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McConnell, Brian, and Alexander Tolley. "Power Plants." In A Design for a Reusable Water-Based Spacecraft Known as the Spacecoach, 27–30. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22677-4_4.

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Ibrahim, Jimoh, Christoph Loch, and Kishore Sengupta. "Two Power Plants." In How Megaprojects Are Damaging Nigeria and How to Fix It, 151–60. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96474-0_8.

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AbstractThis first project, the Egbin Power Plant, was initiated under a civilian government and delayed because of two coups. But then the military government supported the project (which had a strong value proposition) and saw it through.The second project, the Calabar Power Plant, was a part of a large highly ambitious scheme to build 11 power plants, which ran out of money as well as neglecting critical components of the network surrounding a plant (gas supplies and power distribution lines). So, the power plant hardware itself was completed after a delay, but the plant still delivers little power because gas supplies are too expensive and power delivery is subject to capacity limits and price controls that make operation of the plant unaffordable.
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Mahmoud, Magdi S., and Fouad M. AL-Sunni. "Distributed Generation Plants." In Power Systems, 47–86. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16910-1_2.

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Knief, Ronald Allen. "Nuclear Fission Power Plants nuclear fission power plants." In Encyclopedia of Sustainability Science and Technology, 7086–141. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_22.

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Zohuri, Bahman, and Patrick McDaniel. "Nuclear Power Plants." In Thermodynamics In Nuclear Power Plant Systems, 479–538. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13419-2_18.

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Zohuri, Bahman, and Patrick McDaniel. "Nuclear Power Plants." In Thermodynamics in Nuclear Power Plant Systems, 477–539. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93919-3_18.

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Zohuri, Bahman, and Nima Fathi. "Nuclear Power Plants." In Thermal-Hydraulic Analysis of Nuclear Reactors, 489–523. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17434-1_19.

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(Stathis) Michaelides, Efstathios E. "Nuclear Power Plants." In Green Energy and Technology, 131–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-20951-2_5.

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Zohuri, Bahman. "Nuclear Power Plants." In Thermal-Hydraulic Analysis of Nuclear Reactors, 649–89. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53829-7_20.

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Conference papers on the topic "Power plants"

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Berman, Elliot. "Photovoltaic Power Plants." In Cambridge Symposium-Fiber/LASE '86, edited by David Adler. SPIE, 1986. http://dx.doi.org/10.1117/12.937232.

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Clement, Zachary, Fletcher Fields, Diana Bauer, Vincent Tidwell, Calvin Ray Shaneyfelt, and Geoff Klise. "Effects of Cooling System Operations on Withdrawal for Thermoelectric Power." In ASME 2017 Power Conference Joint With ICOPE-17 collocated with the ASME 2017 11th International Conference on Energy Sustainability, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/power-icope2017-3763.

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A new dataset released by the Energy Information Administration (EIA) — which combines water withdrawal, electricity generation, and plant configuration data into a single database — enables detailed examination of cooling system operation at thermoelectric plants at multiple scales, most importantly at the unit level. This dataset was used to explore operations across the population of U.S. thermoelectric plants, leading to the conclusion that roughly 32% of all thermoelectric water withdrawal occurs while power plants are not generating electricity. Based on interviews with industry representatives, a unit’s location on the dispatch curve will largely dictate how the cooling system is operated. Peaking plants and intermediate plants might keep their cooling system running to maintain dispatchability. Other considerations include minimizing wear and tear on the pumps and controlling water chemistry. This observation has implications for understanding water use at thermoelectric plants, policy analysis, and modeling. Previous studies have estimated water use as a function of cooling technology, fuel type, prime mover, pollution controls, and ambient climate (1) or by calculating the amount of water that is thermodynamically necessary for cooling (2). This, however, does not capture all the water a plant is withdrawing simply to maintain dispatchability. This paper uses the new data set from EIA and interviews with plant operators to illuminate the role cooling systems operations play in determining the amount of water a plant withdraws.
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Stepanescu, S., C. Rehtanz, S. Arad, I. Fotau, M. Marcu, and F. Popescu. "Implementation of small water power plants regarding future virtual power plants." In 2011 10th International Conference on Environment and Electrical Engineering (EEEIC). IEEE, 2011. http://dx.doi.org/10.1109/eeeic.2011.5874649.

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Wan, Yih-Huei, Michael Milligan, and Brian Parsons. "Output Power Correlation Between Nearby Wind Power Plants." In ASME 2003 Wind Energy Symposium. ASMEDC, 2003. http://dx.doi.org/10.1115/wind2003-1342.

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The National Renewable Energy Laboratory (NREL) started a project in 2000 to record long-term, high-frequency (1-Hz) wind power output data from large commercial wind power plants. Outputs from about 330 MW of wind generating capacity from wind power plants in Buffalo Ridge, Minnesota, and Storm Lake, Iowa, are being recorded. Analysis of the collected data shows that although very short-term wind power fluctuations are stochastic, the persistent nature of wind and the large number of turbines in a wind power plant tend to limit the magnitudes and rates of changes in the levels of wind power. Analyses of power data confirm that spatial separation greatly reduces variations in the combined wind power output relative to output from a single wind power plant. Data show that high frequency variations of wind power from two wind power plants 200 km apart are independent of each other, but low frequency power changes can be highly correlated. This fact suggests that time-synchronized power data and meteorological data can aid in the development of statistical models for wind power forecasting.
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Hassani, Vahab, and Henry W. Price. "Modular Trough Power Plants." In ASME 2001 Solar Engineering: International Solar Energy Conference (FORUM 2001: Solar Energy — The Power to Choose). American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/sed2001-156.

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Abstract A number of factors are creating an increased market potential for small trough power technology. These include the need for distributed power systems for rural communities worldwide, the need to generate more electricity by non-combustion renewable processes, the need for sustainable power for economic growth in developing countries, and the deregulation and privatization of the electrical generation sector worldwide. Parabolic trough collector technology has been used in large central station power plants. Organic Rankine cycle (ORC) air-cooled modular power units have been successfully applied for large and small-scale geothermal power plants, with over 600 MW of capacity, during the same period. The merging of these two technologies to produce distributed modular power plants in the 200 kW to 10 MW range offers a new application for both technologies. It is our objective in this paper to introduce a modular trough power plant (MTPP) and discuss its performance and the cost of electricity generation from such system.
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DOBRE, Leonard Catalin, Alexandru Turcanu, and Aurelian Craciunescu. "Floating Photovoltaic Power Plants." In 2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE). IEEE, 2021. http://dx.doi.org/10.1109/atee52255.2021.9425257.

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Fitz, Arkady D., Andrey S. Poddubitsky, and Andrey S. Izhevsky. "Floating solar power plants." In Актуальные вопросы энергетики в АПК. Благовещенск: Дальневосточный государственный аграрный университет, 2022. http://dx.doi.org/10.22450/9785964205777_83.

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Kimball, Lange E. "Aging Pipe Supports: A Photographic Study." In ASME 2008 Power Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/power2008-60091.

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Pipe supports were originally intended to be low or no maintenance items. Consequently, pipe supports had become low priority items for the plant’s attention. However, as plants operate well beyond their original design life or are situated in locations that are corrosive, plants are becoming more aware that some pipe support maintenance must be expended. Short comings in the application, material, design, etc. of pipe supports are becoming more and more apparent as plants age. The effect is to impose unintended stress and loading into the equipment and piping that ultimately can become a safety or reliability issue. This is a photographic essay intended to provide graphic evidence of the types of problems that plants face with their aging pipe supports. The intention is to reenforce the need for plants to institute and maintain pipe hanger assessments as part of the total plant reliability effort.
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Singh, Anup, and Don Kopecky. "Repowering Considerations for Converting Existing Power Plants to Combined Cycle Power Plants." In 2002 International Joint Power Generation Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/ijpgc2002-26169.

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Most of the recent combined cycle plants have been designed and constructed as Greenfield Plants. These new plants have been designed mostly as Merchant Plants, owned and operated by Independent Power Producers. There is about 260,000 MW of conventional coal-fired and gas-fired capacity in the USA that is more than 30 years old. About 30,000 MW of conventional gas-fired capacity exists in the area of The Electric Reliability Council of Texas (ERCOT) with relatively poor heat rates in comparison to modern combined cycle plants. These plants are good candidates for HRSG repowering. In addition, there are several coal-fired units in the 200 MW range with steam turbines in relatively good shape or in a condition that can be refurbished and used in repowering. The installed cost of repowered (also called Brownfield) capacity is about 20%–40% less than for comparable Greenfield capacity. There are also other advantages to repowering. Since the site is already existing, it is easier to get the various environmental and construction permits. The efficiency of the repowered units will be significantly higher than the existing units in their current status thus increasing the overall performance of the entire system. The paper will discuss various considerations required for repowering, including steam turbine refurbishment, demolition/relocation of existing equipment, recent cost studies, and various considerations for equipment such as HRSGs.
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Flesch, Philip J. "Statistical Process Control for Power Plants." In International Joint Power Generation Conference collocated with TurboExpo 2003. ASMEDC, 2003. http://dx.doi.org/10.1115/ijpgc2003-40051.

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Statistical Process Control (SPC) is successfully used by manufacturing and service organizations to control processes. The advent of SPC has created significant improvements in manufacturing, and SPC is a key element in six sigma quality programs. The application of SPC allows trained professionals to analyze any process to better understand and control that process. SPC has been in steady use for decades, and numerous books have been written on its application. “SPC is a decision-making tool, and change is the foundation of SPC. When a process changes (goes beyond established limits), SPC helps the quality specialist identify the change and decide if the change is good or bad.” 1. “If the change is bad, the reason for the change is identified and every attempt is made to eliminate the occurrence of the cause of the change.” 2. “If the change is good, the reason for the change is identified and every attempt is made to make the occurrence of the cause of the change common practice.” [Statistical Quality Control, Seventh Edition] SPC may be applied to component and system monitoring at power plants. Equipment reliability, preventive maintenance effectiveness and plant aging have become more important to the owners and operators of power plants. These issues directly affect the plant’s capacity factor and operating costs. SPC provides feedback on measured process parameters, and power plants measure process parameters. SPC can be used to identify early indication of changes in these parameters. This allows plant personnel to identify performance changes that may be indicative of failing equipment reliability. Since it is a fairly simple tool, SPC is easily available to any power plant operator. Data can be loaded into Excel templates, and the appropriate graphs can be easily generated. Since many personnel are familiar with Excel, the application of SPC can be relatively easy initiate. Other statistical analysis programs are available (ex: EPRI MSET) for process parameter review. However, the other tools are not as simple as SPC. Examples will be provided that demonstrate how SPC can be applied to measured power plant parameters. These examples will also demonstrate how the results of SPC can be used to identify potential equipment reliability issues or to control parameters within narrow bands. Finally, the examples will demonstrate how SPC is superior to run graphs (i.e. a parameter graphed over time — over a “run”) as an analysis tool.
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Reports on the topic "Power plants"

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Griffith, George. Transitioning Coal Power Plants to Nuclear Power. Office of Scientific and Technical Information (OSTI), December 2021. http://dx.doi.org/10.2172/1843924.

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Shier, W., R. Kennett, E. Vaclav, and A. Gieci. Advanced power plant training simulator for VVER-440/V230 nuclear power plants. Office of Scientific and Technical Information (OSTI), November 1996. http://dx.doi.org/10.2172/405164.

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Popov, Oleksandr O., Anna V. Iatsyshyn, Andrii V. Iatsyshyn, Valeriia O. Kovach, Volodymyr O. Artemchuk, Viktor O. Gurieiev, Yulii G. Kutsan, et al. Immersive technology for training and professional development of nuclear power plants personnel. CEUR Workshop Proceedings, July 2021. http://dx.doi.org/10.31812/123456789/4631.

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Training and professional development of nuclear power plant personnel are essential components of the atomic energy industry’s successful performance. The rapid growth of virtual reality (VR) and augmented reality (AR) technologies allowed to expand their scope and caused the need for various studies and experiments in terms of their application and effectiveness. Therefore, this publication studies the peculiarities of the application of VR and AR technologies for the training and professional development of personnel of nuclear power plants. The research and experiments on various aspects of VR and AR applications for specialists’ training in multiple fields have recently started. The analysis of international experience regarding the technologies application has shown that powerful companies and large companies have long used VR and AR in the industries they function. The paper analyzes the examples and trends of the application of VR technologies for nuclear power plants. It is determined that VR and AR’s economic efficiency for atomic power plants is achieved by eliminating design errors before starting the construction phase; reducing the cost and time expenditures for staff travel and staff training; increasing industrial safety, and increasing management efficiency. VR and AR technologies for nuclear power plants are successfully used in the following areas: modeling various atomic energy processes; construction of nuclear power plants; staff training and development; operation, repair, and maintenance of nuclear power plant equipment; presentation of activities and equipment. Peculiarities of application of VR and AR technologies for training of future specialists and advanced training of nuclear power plant personnel are analyzed. Staff training and professional development using VR and AR technologies take place in close to real-world conditions that are safe for participants and equipment. Applying VR and AR at nuclear power plants can increase efficiency: to work out the order of actions in the emergency mode; to optimize the temporary cost of urgent repairs; to test of dismantling/installation of elements of the equipment; to identify weaknesses in the work of individual pieces of equipment and the working complex as a whole. The trends in the application of VR and AR technologies for the popularization of professions in nuclear energy among children and youth are outlined. Due to VR and AR technologies, the issues of “nuclear energy safety” have gained new importance both for the personnel of nuclear power plants and for the training of future specialists in the energy sector. Using VR and AR to acquaint children and young people with atomic energy in a playful way, it becomes possible to inform about the peculiarities of the nuclear industry’s functioning and increase industry professions’ prestige.
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Arbaje, Paul, and Mark Specht. Gas Malfunction: Calling into Question the Reliability of Gas Power Plants. Union of Concerned Scientists, January 2024. http://dx.doi.org/10.47923/2024.15312.

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While the United States has roughly doubled its investments in clean energy over the past 10 years, the power grid is still predominantly reliant on natural gas; gas plants provided 43 percent of generating capacity in 2022. This heavy reliance on gas plants, coupled with an assumption that gas plants are more reliable than they actually are, is a vulnerability for the power grid and for consumers. As recent evidence has shown, the US fleet of gas plants is susceptible to large-scale failures during extreme weather. For example, recent winter storms in Texas and the Southeast knocked unprecedented portions of the fleet offline, ultimately leading to rolling blackouts for millions of people. Heat waves and droughts have also significantly interfered with gas plant operations. As the impacts of climate change intensify, extreme weather events are becoming more frequent and more severe, increasing the threat to gas plants and, in turn, to the reliability of the power grid. Given these growing challenges, we must reassess the role of this resource in ensuring grid reliability.
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Brugman, John, Mai Hattar, Kenneth Nichols, and Yuri Esaki. Next Generation Geothermal Power Plants. Office of Scientific and Technical Information (OSTI), September 1995. http://dx.doi.org/10.2172/894305.

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Hudson, C. R., and V. S. White. Owners of nuclear power plants. Office of Scientific and Technical Information (OSTI), November 1996. http://dx.doi.org/10.2172/402403.

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Reid, R. L. Owners of Nuclear Power Plants. Office of Scientific and Technical Information (OSTI), January 2000. http://dx.doi.org/10.2172/814079.

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Marinkovic, Catalina, and Adrien Vogt-Schilb. Is Energy Planning Consistent with Climate Goals? Assessing Future Emissions from Power Plants in Latin America and the Caribbean. Inter-American Development Bank, October 2023. http://dx.doi.org/10.18235/0005183.

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At least ten Latin American and Caribbean countries have pledged to achieve carbon neutrality. Has electricity planning in the region evolved towards reaching these goals? We compare power generation capacity in 2023 to announced plans in 2019. We then estimate committed emissions from existing and planned power plants that is emissions that would result from the normal operations of these plants during their typical lifetime and compare them to emissions from power generation in published IPCC scenarios. We find that fossil fuel planned capacity has decreased by 47% since 2019, mainly due to the cancellation of 50% of coal and 40% of gas projects, compared to only 32% of renewable energy projects. But existing plants in the region will emit 6.7 GtCO2 during their lifespan, and if all planned plants are built, they will add 4.9 GtCO2, totaling 11.6 GtCO2, exceeding median carbon budgets for 1.5 and 2C-consistent IPCC pathways (2.3 and 4.3 GtCO2). Natural gas power plants are the largest contributor to existing (62%) and planned (75%) emissions (versus 24% and 23% for coal). We evaluate emissions reduction strategies to achieve carbon budgets. Assuming no new coal plants comes into operation, announced gas and oil projects are canceled at the same rate as in the past four years, all fossil fueled plant lifetimes are reduced by 10 years, and all new natural gas displaces existing coal, committed emissions fall by 59%, almost meeting the 2C budget, but still twice as large as the median 1.5C budget. Our results suggest that while progress is being made, energy planning in the region is not yet consistent with global climate goals as reflected by the IPCC scenario database.
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Basher, H. Autonomous Control of Nuclear Power Plants. Office of Scientific and Technical Information (OSTI), October 2003. http://dx.doi.org/10.2172/885601.

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El-Guebaly, Laila a., Scott C. Hsu, Ilon Joseph, and Brad J. Merrill. Essential Criteria for Fusion Power Plants. Office of Scientific and Technical Information (OSTI), March 2018. http://dx.doi.org/10.2172/1430912.

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