A Complete Methodology for the Predictive Simulation of Novel, Single- and Multi-Component Fuel Combustion PDF Download
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Author: Sebastian K. Crönert Publisher: Springer Nature ISBN: 3658430753 Category : Technology & Engineering Languages : en Pages : 220
Book Description
Sebastian K. Crönert presents a new, automated process that makes it possible to obtain all the fuel properties required for combustion simulation. If necessary, these are then transferred - also automatically - into specially created correlation equations through which they are then made available again at simulation runtime. This method makes it possible to represent even more complex correlations and cross-influences on calculation variables in a resource-optimised way (memory requirements and access time) while maintaining the same accuracy. The procedure is validated using test bench measurement data for the pure fuels anisole and cyclopentanone and their blends with regular petrol (RON95E10). Additional validations include more established synthetic fuels and hydrogen. It is shown that an extraordinarily high prediction quality can be achieved for the model class.
Author: Sebastian K. Crönert Publisher: Springer Nature ISBN: 3658430753 Category : Technology & Engineering Languages : en Pages : 220
Book Description
Sebastian K. Crönert presents a new, automated process that makes it possible to obtain all the fuel properties required for combustion simulation. If necessary, these are then transferred - also automatically - into specially created correlation equations through which they are then made available again at simulation runtime. This method makes it possible to represent even more complex correlations and cross-influences on calculation variables in a resource-optimised way (memory requirements and access time) while maintaining the same accuracy. The procedure is validated using test bench measurement data for the pure fuels anisole and cyclopentanone and their blends with regular petrol (RON95E10). Additional validations include more established synthetic fuels and hydrogen. It is shown that an extraordinarily high prediction quality can be achieved for the model class.
Author: Marcio L. De Souza-Santos Publisher: CRC PressI Llc ISBN: 9781420047493 Category : Technology & Engineering Languages : en Pages : 486
Book Description
As an increasing number of professionals and graduate students enter the field of solid-based power generation, they all require an command of process and equipment, as well as the theory behind it all. However, their informational needs and understanding differ based on their experience and the task at hand. Solid Fuels Combustion and Gasification: Modeling, Simulation, and Equipment Operations, Second Edition explores evolving solid fuel combustion and gasification techniques that are leading to much lower sulfur and nitrogen oxide emissions. It also shows how to increase the efficiency of processes dealing with materials such as coal, biomass, solid residues, etc. Many of the successes of these methods are the result of process optimization resulting from mathematical modeling and simulation. This book introduces and explores these techniques, taking a moderate approach that is neither too narrow nor too basic, making it useful to graduate students, engineers, and professionals. It illustrates the modeling and constructive and operational aspects of equipment used in combustion and gasification of solid fuels. It was written based on the idea that developing models and computer simulators is the optimal method to acquire real and testable understanding of a subject in the area of processing. Model complexity is extended only as far as needed to achieve a reasonable representation of the equipment described in the book, and the author provides specific and carefully selected case studies that: Cover many industrial processes involving combustion or gasification of solid fuels Provide easy-to-follow examples on how to set simplifying assumptions regarding the operation of real industrial equipment Enable relatively quick introduction of fundamental equations without the need for unnecessarily complex treatments The main strategy of the book is to teach by example, and the basic methods illustrated here can be used for modeling a wide range of processes and equipment commonly found in industry. It is a carefully constructed volume which presents essential concepts that minimize the need for other texts, and it can also be used as an introduction to more complex models.
Author: Erik Dahlquist Publisher: CRC Press ISBN: 0203120264 Category : Science Languages : en Pages : 520
Book Description
Officially, the use of biomass for energy meets only 10-13% of the total global energy demand of 140 000 TWh per year. Still, thirty years ago the official figure was zero, as only traded biomass was included. While the actual production of biomass is in the range of 270 000 TWh per year, most of this is not used for energy purposes, and mostly it
Author: Kwang Y. Lee Publisher: MDPI ISBN: 3039433601 Category : Technology & Engineering Languages : en Pages : 228
Book Description
Faced with an ever-growing resource scarcity and environmental regulations, the last 30 years have witnessed the rapid development of various renewable power sources, such as wind, tidal, and solar power generation. The variable and uncertain nature of these resources is well-known, while the utilization of power electronic converters presents new challenges for the stability of the power grid. Consequently, various control and operational strategies have been proposed and implemented by the industry and research community, with a growing requirement for flexibility and load regulation placed on conventional thermal power generation. Against this background, the modelling and control of conventional thermal engines, such as those based on diesel and gasoline, are experiencing serious obstacles when facing increasing environmental concerns. Efficient control that can fulfill the requirements of high efficiency, low pollution, and long durability is an emerging requirement. The modelling, simulation, and control of thermal energy systems are key to providing innovative and effective solutions. Through applying detailed dynamic modelling, a thorough understanding of the thermal conversion mechanism(s) can be achieved, based on which advanced control strategies can be designed to improve the performance of the thermal energy system, both in economic and environmental terms. Simulation studies and test beds are also of great significance for these research activities prior to proceeding to field tests. This Special Issue will contribute a practical and comprehensive forum for exchanging novel research ideas or empirical practices that bridge the modelling, simulation, and control of thermal energy systems. Papers that analyze particular aspects of thermal energy systems, involving, for example, conventional power plants, innovative thermal power generation, various thermal engines, thermal energy storage, and fundamental heat transfer management, on the basis of one or more of the following topics, are invited in this Special Issue: • Power plant modelling, simulation, and control; • Thermal engines; • Thermal energy control in building energy systems; • Combined heat and power (CHP) generation; • Thermal energy storage systems; • Improving thermal comfort technologies; • Optimization of complex thermal systems; • Modelling and control of thermal networks; • Thermal management of fuel cell systems; • Thermal control of solar utilization; • Heat pump control; • Heat exchanger control.
Author: Ravinesh Deo Publisher: Elsevier ISBN: 012817773X Category : Science Languages : en Pages : 553
Book Description
Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets. Presents advanced optimization techniques to improve existing energy demand system Provides data-analytic models and their practical relevance in proven case studies Explores novel developments in machine-learning and artificial intelligence applied in energy management Provides modeling theory in an easy-to-read format
Author: Sebastian K. Crönert
Author: Sebastian K. Crönert
Author: Marcio L. De Souza-Santos
Author: Erik Dahlquist
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Author: 
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Author: Kwang Y. Lee
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Author: Ravinesh Deo
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