Archive for the ‘Renewable Energy’ Category
Dear readers, in the large cities and interurban spaces increasingly populated by the increase in the world population, it will be possible in the near future – if it does not exist now – to be able to configure the electrical loads in sets of multi-nanogrids. and / or multi-microgrids. All of them can have their own storage or have a storage for all of them. The figure, shows that I have been able to model and simulate the behavior of the energy stored in a storage source that collects or supplies energy to all nanogrids and / or microgrids. Its importance lies in sharing the surpluses to supply those that lack energy. If there is surplus, then know how much value they can get. If there is a deficit between all of them, the energy purchase will be made. Here they enter to carve different types of technologies between power electronics, control and protection systems. Random behavior has been considered anyway, as it is what happens in real life. While this is all mathematical modeling and numerical simulation, real data can be added. I hope it is of interest to you and I leave my contact information at the signing of this post. Regards.
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
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Dear readers, I am grateful for the multiple visits each day to my different blogs. On the subject of renewable energies, there are concepts such as microgrids (a cell with the ability to connect and disconnect from the Public Electricity Grid (PEG) through a Common Coupling Point with a capacity of up to 10 MW) and nanogrids (a unit of Generally a small residential and / or commercial load equipped with renewable sources such as photovoltaic solar panels, wind turbines or others plus a storage system. Nanogrids and microgrids must work with other similar ones in a coordinated way and sharing resources that they have surplus to Some, transfer it to others. With this, in front of the PEG, the microgrids / nanogrids arrangements that we will call multi-nanogrids – multi-microgrids must present a global balance of excess or missing power of all. The image of this post shows an axis of states – to generalize – how the deficit and surplus of the power that houses the entire set of multi-nanogrids – mult i-microgrids. I hope it is of interest to you and I leave my contact information at the signing of this post. Regards.
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
Website Personal: https://jorgemirez2002.wixsite.com/jorgemirez
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Estimados lectores, quedo agradecido por las múltiples visitas de cada día a mis diferentes blogs. En el tema de las energías renovables se encuentra conceptos como microgrids (una célula con capacidad de conectarse y desconectarse de la Red Eléctrica Pública (REP) a través de un Punto de Común Acoplamiento con capacidad de hasta 10 MW) y nanogrids (una unidad de carga por lo general residencial y/o comercial de pequeño tamaño dotado de fuentes de renovables como paneles solares fotovoltaicos, turbinas eólicas u otras más un sistema de almacenamiento. Nanogrids y microgrids deben trabajar con otros similares de manera coordinada y compartiendo recursos que le sobren a unos, lo transfieran a los demás. Con ello, frente a la REP los arreglos de microgrids/nanogrids que llamaremos multi-nanogrids – multi-microgrids deben presentar en global un balance de potencia sobrante o faltante de entre todos. La gráfica del presente post muestra un eje de estados – para generalizar – como se presenta el déficit y el sobrante de la potencia que alberga a todo el conjunto de multi-nanogrids – multi-microgrids. Espero sea de su interés y dejo mis datos de contacto en la firma del presente post. Regards.
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
Website Personal: https://jorgemirez2002.wixsite.com/jorgemirez
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Good morning dear readers of my blog. Currently I am developing research on the interconnection of three energy blocks (microgrids), which in its most general version, are three cells that exchange information. The codes are elaborated in Matlab from MathWorks Inc., with the intention of publishing in magazines / journals with an impact factor (SJR).
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
Website Personal: https://jorgemirez2002.wixsite.com/jorgemirez
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Regards time, the ultimate consumer burns a fuel whose chemical composition varies, see Figure. These variations bring problems for plant operation, whatever is the prime mover (Internal Combustion engine, gas turbine or boiler).
Methane number (MN) characterizes gaseous fuel tendency to auto-ignition. By convention, this index has a value 100 for methane and 0 for hydrogen (Leiker et al., 1972). The gaseous fuels are thus compared with a methane-hydrogen binary mixture. Two gases with same value MN have the same resistance against the spontaneous combustion.
Source:
Natural Gas : Physical Properties and Combustion Features.
By Olivier Le Corre and Khaled Loubar
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
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Offshore wind has emerged as one of the most dynamic technologies in the energy system. For the first time in 2010 global capacity additions of offshore wind surpassed 1 gigawatt (GW). In 2018, a total of 4.3 GW of new offshore wind capacity was completed (see Figure). From 3 GW of offshore wind in operation in 2010, installed capacity expanded to
23 GW in 2018. Annual deployment has increased by nearly 30 % per year, higher than any other source of electricity except solar photovoltaics (PV). By mid-2019, there were over 5,500 offshore turbines connected to a grid in 17 countries. Policy support has been fundamental to this expansion, including through technology-specific capacity tenders, progress on including offshore wind in marine planning, financial support and regulatory efforts to support grid development.
The growth of the offshore wind industry has been fostered in European countries bordering the North Seas, where high quality wind resources and relatively shallow water have provided exceptionally good conditions in which to develop offshore wind technologies and bring them to market. Stable policies supported nearly 17 GW of offshore
wind capacity additions in Europe between 2010 and 2018. The United Kingdom, Germany, Belgium, Netherlands and Denmark together added 2.7 GW of capacity in 2018 alone. China has recently taken strides forward on offshore wind and now stands among the market leaders. In 2018, China added 1.6 GW of offshore wind capacity, the most of any
country. This rapid growth has been driven by the government’s 13th Five-Year Plan, which called for 5 GW of offshore wind capacity to be completed by 2020, and for the establishment of supply chains to support further expansion thereafter.
Source: IEA Offshore Wind Outlook 2019 https://www.iea.org/
Regards:
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
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As a wind turbine generator, a permanent magnet synchronous generator (PMSG) is used in this post. Mechanical energy is acquired from the kinetic energy of the wind through a wind turbine, and the PMSG converts this energy to electrical energy. The PMSG output is converted to DC power through a thyristor rectifier. The output power of the wind turbine is equal to the DC converted power if the losses in the generator and rectifier are negligible.
Referencia: S. M. Muyeen “Wind Energy Conversion Systems – Technology and Trends” Springer. New York. DOI 10.1007/978-1-4471-2201-2
Regards:
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
Website Personal: https://jorgemirez2002.wixsite.com/jorgemirez
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Como generador de turbina de viento, un generador sincrónico de imanes permanentes (PMSG) es usado en el presente post. La energía mecánica es adquirida de la energía cinética del viento a través de una turbina de viento, y el PMSG convierte ésta energía a energía eléctrica. La salida de PMSG es convertida a potencia DC a través de un rectificador de tiristores. La potencia de salida de la turbina de viento es igual a la potencia convertida DC si las pérdidas en el generador y rectificador son despreciables.
Referencia: S. M. Muyeen «Wind Energy Conversion Systems – Technology and Trends» Springer. New York. DOI 10.1007/978-1-4471-2201-2
Regards:
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
Website Personal: https://jorgemirez2002.wixsite.com/jorgemirez
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«A mathematical model of SmartValley for estimation of contribution of biomass to the electrical generation»
Jorge Mírez ; Segundo Horna ; Daniel Carranza
2019 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC). Ixtapa, Mexico, Mexico
Abstract:
A mathematical model is presented for the estimation of the contribution of biomass to the generation of electricity for a valley as a geographical scope of application. Is considered that a valley has several species that are cultivated during the year and that have by-products of the harvest that we have considered as biomass that can be used for the production of electricity that would benefit the valley’s inhabiting community. We have called this integration between population and crops SmartValley, which leads to the use of monitoring, control, management and planning among the different agricultural-energy actors.
Link: https://ieeexplore.ieee.org/document/9057045
Gratefully for this news !!
Regards:
Dr. Jorge Luis Mírez Tarrillo – PERU
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Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
Website Personal: https://jorgemirez2002.wixsite.com/jorgemirez
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Burning harvested organic matter – biomass – provided most of mankind’s energy needs for millennia. Using such fuels remains the primary energy source for many people in developing and emerging economies, but such “traditional use” of biomass is often unsustainable, with inefficient combustion leading to harmful emissions with serious health implications.
Modern technologies can convert this organic matter to solid, liquid and gaseous forms that can more efficiently provide for energy needs and replace fossil fuels. A wide range of biomass feedstocks can be used as sources of bioenergy. These include: wet organic wastes, such as sewage sludge, animal wastes and organic liquid effluents, and the organic fraction of municipal solid waste (MSW); residues and co-products from agroindustries and the timber industry; crops grown for energy, including food crops such as corn, wheat, sugar and vegetable oils produced from palm, rapeseed and other raw materials; and nonfood crops such as perennial lignocellulosic plants (e.g. grasses such as miscanthus and trees such as short-rotation willow and eucalyptus) and oilbearing plants (such as jatropha and camelina).
Many processes are available to turn these feedstocks into a product that can be used for electricity, heat or transport. The figure illustrates a number of the main pathways available for these applications (IEA and FAO, 2017). The most common pathways to date have been: the production of heat and power from wood, agricultural residues and the biogenic fraction of wastes; maize and sugarcane to ethanol; and rapeseed, soybean and oil crops to biodiesel. Each of these bioenergy pathways consists of several steps, which include biomass production, collection or harvesting, processing to improve the physical characteristics of the fuel, pre-treatment to alter chemical properties, and finally conversion of the biomass to useful energy. The number of these steps may differ depending on the type, location and source of biomass, and the technology used to provide the relevant final energy use.
Source: International Energy Agency. “Technology Roadmap: Delivering Sustainable Bioenergy” http://www.iea.org
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
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To provide an understanding of the current market landscape for bioenergy, an overview of market developments across the heat, electricity and transport sectors over the 2010-16 period is provided. This highlights key market trends since the production of the previous IEA technology roadmaps on bioenergy, and puts the longer-term scenarios in this roadmap into context.
Biomass and waste are already a significant global energy source, accounting for over 70% of all renewable energy production, and making a contribution to final energy consumption in 2015 that was roughly equivalent to that of coal. The largest end use of biomass and waste remains the traditional use of biomass, which is generally considered an unsustainable application of these resources. The focus of this publication is modern bioenergy solutions; the term bioenergy is generally used to refer to these and exclude the traditional use of biomass. Modern bioenergy consumption is largest in the heat sector, although bioenergy for electricity and transport biofuels is growing faster, mainly due to higher levels of policy support
Source: International Energy Agency. «Technology Roadmap: Delivering Sustainable Bioenergy» http://www.iea.org
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
Website Personal: https://jorgemirez2002.wixsite.com/jorgemirez
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Videoconferencia sobre Vehículos Eléctricos en la red y un resumen de tecnologías de generación distribuida en el marco de Energías Renovables. . Invitados a darle Me Gusta 
a mi fanpage http://www.facebook.com/jorgemirezperu. Transmisión en vivo y en directo. Compartir
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
Website Personal: https://jorgemirez2002.wixsite.com/jorgemirez
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Videoconferencia sobre tecnologías de generación distribuida (GD): celdas de combustibles, celdas solares fotovoltaicas (PV), turbinas eólicas y cogeneración. De acceso libre y gratuito. Compartirlo e invitados a darle Me Gusta a mi fanpage http://www.facebook.com/jorgemirezperu por el cual se transmistirá en español, en vivo y en directo.
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
Website Personal: https://jorgemirez2002.wixsite.com/jorgemirez
Facebook http://www.facebook.com/jorgemirezperu
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Hablemos sobre «Gestión Distribuida y algo de Energías Renovables»
Invitados a dar me gusta a mi fanpage http://www.facebook.com/jorgemirezperu para siguientes charlas…
Compartir y bienvenido sean las preguntas
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
Website Personal: https://jorgemirez2002.wixsite.com/jorgemirez
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Source: Antonio Moreno-Munoz. “Large Scale Grid Integration of Renewable Energy Sources”. The Institution of Engineering and Technology. 2017.
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
Website Personal: https://jorgemirez2002.wixsite.com/jorgemirez
Facebook http://www.facebook.com/jorgemirezperu
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Fuente: Antonio Moreno-Munoz. “Large Scale Grid Integration of Renewable Energy Sources”. The Institution of Engineering and Technology. 2017.
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
Website Personal: https://jorgemirez2002.wixsite.com/jorgemirez
Facebook http://www.facebook.com/jorgemirezperu
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Source: Antonio Moreno-Munoz. “Large Scale Grid Integration of Renewable Energy Sources”. The Institution of Engineering and Technology. 2017.
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
Website Personal: https://jorgemirez2002.wixsite.com/jorgemirez
Facebook http://www.facebook.com/jorgemirezperu
Linkedin https://www.linkedin.com/in/jorge-luis-mirez-tarrillo-94918423/
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Fuente: Antonio Moreno-Munoz. «Large Scale Grid Integration of Renewable Energy Sources». The Institution of Engineering and Technology. 2017.
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
Website Personal: https://jorgemirez2002.wixsite.com/jorgemirez
Facebook http://www.facebook.com/jorgemirezperu
Linkedin https://www.linkedin.com/in/jorge-luis-mirez-tarrillo-94918423/
Scopus ID: https://www.scopus.com/authid/detail.uri?authorId=56488109800
Google Scholar: https://scholar.google.com/citations?user=_dSpp4YAAAAJ
MATLAB Group Admin in Facebook: https://www.facebook.com/groups/Matlab.Simulink.for.All
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«Microgrid of DC/AC voltage powered by solar, wind, batteries and conventional sources». Jorge Mírez. Perfiles. Edition Nº 10 – [January – December 2013]. Available in: http://ceaa.espoch.edu.ec:8080/revista.perfiles/Articuloshtml/Perfiles10Art5/Perfiles10Art5.xhtml
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
Website Personal: https://jorgemirez2002.wixsite.com/jorgemirez
Facebook http://www.facebook.com/jorgemirezperu
Linkedin https://www.linkedin.com/in/jorge-luis-mirez-tarrillo-94918423/
Scopus ID: https://www.scopus.com/authid/detail.uri?authorId=56488109800
Google Scholar: https://scholar.google.com/citations?user=_dSpp4YAAAAJ
MATLAB Group Admin in Facebook: https://www.facebook.com/groups/Matlab.Simulink.for.All
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«Energy storage systems». Jorge Mírez. XIX Peruvian Symposium on Solar Energy and the Environment (XIX-SPES), Puno, 12-17.11.2012.
Available in: http://www.perusolar.org/wp-content/uploads/2013/01/3.pdf
Dr. Jorge Luis Mírez Tarrillo
Group of Mathematical Modeling and Numerical Simulation (GMMNS).
Universidad Nacional de Ingeniería. Lima, Perú.
E-mail: jmirez@uni.edu.pe
Website Personal: https://jorgemirez2002.wixsite.com/jorgemirez
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Estimado lector, si desean hacer una donación o le interesa alguna información o código, favor ponerse en contacto con mi persona (e-mail: jmirez@uni.edu.pe). Las donaciones va a permitir seguir estudiando e investigando, y además, el poder brindar más información en este blog. Mi cuenta en PayPal es jorgemirez2002@gmail.com o si es por transferencia bancaria escribirme a mi correo jmirez@uni.edu.pe. Cualquier cantidad de dinero es bienvenido. Gracias.
Datos Generales
Good day. My full name is Jorge Luis MIREZ TARRILLO.
I am Peruvian and live in Lima, capital of Perú in South America.I am Mechanical Electrical Engineering, MSc Physics and Dr. Physics (title doctoral thesis: Control, Optimization, and Management of Microgrid Current Direct)
Too, actually job as Principal Professor in Faculty of Oil, Gas and Petrochemical Engineering of Universidad Nacional de Ingeniería (National University of Engineering) in Lima – PERU (Courses: Modern Physics, Differential Equations and Research's Methodology)
My subjects of my interest are control, signal processing, optimization, simulation, biomedical research, smart grid, microgrid, water.
I have experience in Matlab/Simulink programming, biomedical equipment, electrical systems, renewable energies, microgrids, saturated steam systems 100 psi and organizing academic events.
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