A Companion Model Approach To Modelling And Simulation Of Industrial Processes
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A Companion Model Approach to Modelling and Simulation of Industrial Processes
Modelling and simulation represent tremendous possibilities if extensively taken up by engineers as a working method (IMTI 2003). However, if detailed writing of equations and programming is required in addition to inverse engineering efforts for finding the necessary design data, it will only remain attractive to mathematicians, physicists and computer programmers. When considering the use of modelling and simulation tools in an engineering design project, there is no time to write equations, to consult suppliers' experts, or to manually transfer data from one repository to another. Available commercial modelling and simulation software for process and automation interoperability studies, the advances in process and automation design methodologies, evolving specification and communication standards, as well as applicable computer software architectures, have recently been dealt with in VTT Publications (Pasanen 2001; Karhela 2002). Internet based service repositories have developed rapidly, making it possible for equipment manufacturers to supply "extended products", including design data needed by engineers engaged in process and automation integration. A request has been recognized to make the modelling and simulation software suited for relevant structured design information as it is provided for in product and design databases. Initiatives involving automated model generation have been encouraged (IMTI 2002). The companion model approach for specification and solution of process simulation models, as presented herein, is developed from the above premises. The focus is on how to tackle real world processes, which from modelling point of view are dynamic, very stiff, very nonlinear and only piecewise continuous, without extensive manual interventions of human experts. An additional challenge, to solve the arising equations fast and reliably, is dealt with, as well.
Smart Computing and Control Renewable Energy Systems
This essential book bridges the gap between cutting-edge artificial intelligence and the dynamic world of renewable energy systems. Embark on a journey to the forefront of sustainable energy innovation with this groundbreaking collection of research papers and expert insights. Designed for curious minds and industry leaders alike, this comprehensive resource offers: - A deep dive into the latest advancements in smart computing for sustainable energy. - Exploration of AI-driven techniques revolutionizing energy efficiency and management. - Real-world applications showcasing the transformative power of intelligent systems in renewables. - Insights into futuristic energy infrastructures powered by artificial intelligence. - A perfect blend of theoretical foundations and practical implementations. To a seasoned researcher pushing the boundaries of knowledge, a graduate student aspiring to make a mark, or an industry professional staying ahead of the curve, this book is a gateway to the future of energy. Discover how machine learning is reshaping solar forecasting, uncover the potential of autonomous systems in energy storage, and explore the role of AI in crafting smarter, more sustainable cities. From predictive maintenance that ensures uninterrupted power to intelligent control systems optimizing energy generation, this book covers it all. Don't just witness the renewable energy revolution—be part of it. This book equips readers with the knowledge and inspiration to drive innovation in this critical field. It is more than a collection of papers; it is a roadmap to a sustainable future where smart computing and renewable energy converge. Prepare to challenge your assumptions, expand your expertise, and contribute to a greener tomorrow. Order your copy today and position yourself at the vanguard of the smart energy movement!
Heat and Mass Transfer
Heat and mass transfer is the core science for many industrial processes as well as technical and scientific devices. Automotive, aerospace, power generation (both by conventional and renewable energies), industrial equipment and rotating machinery, materials and chemical processing, and many other industries are requiring heat and mass transfer processes. Since the early studies in the seventeenth and eighteenth centuries, there has been tremendous technical progress and scientific advances in the knowledge of heat and mass transfer, where modeling and simulation developments are increasingly contributing to the current state of the art. Heat and Mass Transfer - Advances in Science and Technology Applications aims at providing researchers and practitioners with a valuable compendium of significant advances in the field.