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Modeling Simulation And Optimization In The Health And Energy Sector
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Book Synopsis Modeling, Simulation and Optimization in the Health- and Energy-Sector by : René Pinnau
Download or read book Modeling, Simulation and Optimization in the Health- and Energy-Sector written by René Pinnau and published by Springer Nature. This book was released on 2022-06-08 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is addressed to people who are interested in modern mathematical solutions for real life applications. In particular, mathematical modeling, simulation and optimization is nowadays successfully used in various fields of application, like the energy- or health-sector. Here, mathematics is often the driving force for new innovations and most relevant for the success of many interdisciplinary projects. The presented chapters demonstrate the power of this emerging research field and show how society can benefit from applied mathematics.
Book Synopsis Modeling, Simulation and Optimization by : Biplab Das
Download or read book Modeling, Simulation and Optimization written by Biplab Das and published by Springer Nature. This book was released on 2021-03-17 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization, organized by National Institute of Technology, Silchar, Assam, India, during 3–5 August 2020. The book covers topics of modeling, simulation and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, modeling and simulation of energy system and optimization. The book disseminates various models of diverse systems and includes solutions of emerging challenges of diverse scientific fields.
Book Synopsis Mathematical Modeling, Simulation and Optimization for Power Engineering and Management by : Simone Göttlich
Download or read book Mathematical Modeling, Simulation and Optimization for Power Engineering and Management written by Simone Göttlich and published by Springer Nature. This book was released on 2021-02-02 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation. It collects current contributions on innovative methods and algorithms. Advances in mathematical techniques and scientific computing methods are presented centering around economic aspects, technical realization and large-scale networks. Over twenty authors focus on the mathematical modeling of such future systems with careful analysis of desired properties and arising scales. Numerical investigations include efficient methods for the simulation of possibly large-scale interconnected energy systems and modern techniques for optimization purposes to guarantee stable and reliable future operations. The target audience comprises research scientists, researchers in the R&D field, and practitioners. Since the book highlights possible future research directions, graduate students in the field of mathematical modeling or electrical engineering may also benefit strongly.
Book Synopsis Simulation-based Optimization Models for Electricity Generation Expansion Planning Problems Considering Human Health Externalities by : Mark David Rodgers
Download or read book Simulation-based Optimization Models for Electricity Generation Expansion Planning Problems Considering Human Health Externalities written by Mark David Rodgers and published by . This book was released on 2016 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation is focused on the development of mathematical models to solve electricity generation expansion planning problems that minimize total system-wide costs, including human health externalities. A generation expansion planning model is a mathematical optimization framework employed to determine the type of generation technology to invest in, and when and where these investments should be made in order to minimize market costs such as investment costs, fixed and variable operating & maintenance costs, and fuel costs over a long term planning horizon. Fossil fuels (such as coal, oil, and natural gas), which are the primary sources of energy for electricity, are among the most economical sources of electricity. However, burning fossil fuels creates by-products that contribute to ground-level ozone, particulates, and acid rain, which have harmful health effects. Based on EPA research, exposure to these elements causes various respiratory-related illnesses leading to lost days at school or work on a daily basis. In this research, a simulation-based approach is employed to quantify human health externalities by linking the outputs of expansion planning simulations with an EPA screening tool that determines the human health externalities from the electricity sector. From this data set, a statistical prediction model is employed to approximate health costs as a function of electricity generation. This explicit representation of the relationship between electricity generation and health externalities is then incorporated in the objective function of a generation expansion planning problem as a metamodel or surrogate curve. This research is the first comprehensive attempt to dynamically quantify human health externalities in the context of generation expansion planning. Additionally, this research leads contributions for developing generation expansion planning models considering human health externalities as costs in the objective function. This research also leads contributions for developing large scale simulation-based optimization models, by applying a rigorous search algorithm to determine candidate solution points to enhance prediction capabilities of the metamodel, and thus yield more accurate and realistic optimization solutions.
Book Synopsis Simulation and Optimization in Process Engineering by : Michael Bortz
Download or read book Simulation and Optimization in Process Engineering written by Michael Bortz and published by Elsevier. This book was released on 2022-04-16 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation and Optimization in Process Engineering: The Benefit of Mathematical Methods in Applications of the Process Industry brings together examples where the successful transfer of progress made in mathematical simulation and optimization has led to innovations in an industrial context that created substantial benefit. Containing introductory accounts on scientific progress in the most relevant topics of process engineering (substance properties, simulation, optimization, optimal control and real time optimization), the examples included illustrate how such scientific progress has been transferred to innovations that delivered a measurable impact, covering details of the methods used, and more. With each chapter bringing together expertise from academia and industry, this book is the first of its kind, providing demonstratable insights. Recent mathematical methods are transformed into industrially relevant innovations. Covers recent progress in mathematical simulation and optimization in a process engineering context with chapters written by experts from both academia and industry Provides insight into challenges in industry aiming for a digitized world.
Book Synopsis Improving Energy Efficiency Through Data-Driven Modeling, Simulation and Optimization by : Dirk Deschrijver
Download or read book Improving Energy Efficiency Through Data-Driven Modeling, Simulation and Optimization written by Dirk Deschrijver and published by Mdpi AG. This book was released on 2021-05-31 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: In October 2014, the EU leaders agreed upon three key targets for the year 2030: a reduction by at least 40% in greenhouse gas emissions, savings of at least 27% for renewable energy, and improvements by at least 27% in energy efficiency. The increase in computational power combined with advanced modeling and simulation tools makes it possible to derive new technological solutions that can enhance the energy efficiency of systems and that can reduce the ecological footprint. This book compiles 10 novel research works from a Special Issue that was focused on data-driven approaches, machine learning, or artificial intelligence for the modeling, simulation, and optimization of energy systems.
Book Synopsis Modeling and Simulation Support for System of Systems Engineering Applications by : Larry B. Rainey
Download or read book Modeling and Simulation Support for System of Systems Engineering Applications written by Larry B. Rainey and published by John Wiley & Sons. This book was released on 2015-01-05 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: “...a much-needed handbook with contributions from well-chosen practitioners. A primary accomplishment is to provide guidance for those involved in modeling and simulation in support of Systems of Systems development, more particularly guidance that draws on well-conceived academic research to define concepts and terms, that identifies primary challenges for developers, and that suggests fruitful approaches grounded in theory and successful examples.” Paul Davis, The RAND Corporation Modeling and Simulation Support for System of Systems Engineering Applications provides a comprehensive overview of the underlying theory, methods, and solutions in modeling and simulation support for system of systems engineering. Highlighting plentiful multidisciplinary applications of modeling and simulation, the book uniquely addresses the criteria and challenges found within the field. Beginning with a foundation of concepts, terms, and categories, a theoretical and generalized approach to system of systems engineering is introduced, and real-world applications via case studies and examples are presented. A unified approach is maintained in an effort to understand the complexity of a single system as well as the context among other proximate systems. In addition, the book features: Cutting edge coverage of modeling and simulation within the field of system of systems, including transportation, system health management, space mission analysis, systems engineering methodology, and energy State-of-the-art advances within multiple domains to instantiate theoretic insights, applicable methods, and lessons learned from real-world applications of modeling and simulation The challenges of system of systems engineering using a systematic and holistic approach Key concepts, terms, and activities to provide a comprehensive, unified, and concise representation of the field A collection of chapters written by over 40 recognized international experts from academia, government, and industry A research agenda derived from the contribution of experts that guides scholars and researchers towards open questions Modeling and Simulation Support for System of Systems Engineering Applications is an ideal reference and resource for academics and practitioners in operations research, engineering, statistics, mathematics, modeling and simulation, and computer science. The book is also an excellent course book for graduate and PhD-level courses in modeling and simulation, engineering, and computer science.
Book Synopsis Optimization and Control in Energy Management by : Atanda Kamoru Raji
Download or read book Optimization and Control in Energy Management written by Atanda Kamoru Raji and published by . This book was released on 2024-04-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present reprint contains 15 articles published in the Special Issue "Optimization and Control in Energy Management: Mathematical Modeling and Simulation" of the journal Mathematics, which covers a wide range of topics connected to the energy management systems, i.e., EMS optimization and control techniques for managing the power flow in response to supply, demand, power quality, and storage conditions. These topics include demand side management and demand response, artificial intelligence optimization methods for renewable energy systems and energy management, frequency regulation using virtual power plants, modeling and simulation for energy management, EMS in smart electrical grids, energy-efficient systems, energy conservation techniques, EMS in mini- and microgrids, algorithms, numerical simulations, mathematical modeling, analytical understanding, control theory, load and renewable energy generation prediction techniques, energy management for smart cities and homes, energy management for improving power quality, various optimization techniques and methods in EMS, and various control methods and strategies in EMS. It is hoped that this reprint will be interesting and useful for those working in the area of EMS, power systems' optimal operation, and renewable energy systems, as well as for those having the proper mathematical background and the willingness to be familiar with the recent advances in the mathematical modeling and simulation of energy systems, which are essential tools for the strategic planning and optimal operation of hybrid energy systems in the form of islanded or grid-connected mini or microgrids.
Book Synopsis Modeling and Simulation in Energy Management by : Juan Martín García
Download or read book Modeling and Simulation in Energy Management written by Juan Martín García and published by . This book was released on 2019-10-17 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the Civid19 crisis, shipments of paperback books on amazon.COM are restricted to the USA. For other countries, try your own marketplace, such as amazon.es for deliveries to Spain. --- --- --- --- INDEX OF PAPERS Paper 1. Modeling and Simulating Energy Policies Paper 2. Water-Energy-Food Nexus Paper 3. Environmental and Social Pressures in Mining Paper 4. Impacts of Electric Vehicle Diffusion Paper 5. Forecasting Electricity Demand Market Shares Paper 6. Rare Earths Production Forecasting Paper 7. Risk Analysis of Offshore Fire Paper 8. Scenario Planning Implementation Paper 9. Energy and Environmental Protection Paper 10. Simulating Petroleum Peak Curve Paper 11. Participative Group Model Building Paper 12. Green Growth and Ecotax Paper 13. Enterprise Resource Planning Implementation Paper 14. Occupational Accident Prevention Paper 15. Gamification and Project Management INDEX OF MODELS FOR BEGINNERS 1. Population Growth 2. The Golden Number 3. CO2 Emissions 4. Project Dynamics 5. Innovatory Companies 6. Design of a Chemical Reactor 7. Building Games and Learning Labs 8. Sensitivity Analysis COLLECTION OF BOOKS Selected papers on System Dynamics 1.Agriculture and food production ISBN: 9781686984570 2.Business ISBN: 9781686997556 3.Ecology and the environment ISBN: 9781687000323 4.Economy: money and finances ISBN: 9781687003133 5.Energy ISBN: 9781687004932 6.Healthcare ISBN: 9781687006745 7.Housing and urban dynamics ISBN: 9781687008367 8.Supply chain and industrial dynamics ISBN: 9781687009975 9.Labor, human resources and social ISBN: 9781687015389 10.Sustainable development ISBN: 9781700341600 Detailed content in http://atc-innova.com/papers.htm ABOUT THE AUTHOR Juan Martin Garcia, expert in System Dynamics and System Thinking, Ph. D. Industrial Engineer UPC (Spain) and Postgraduate Diploma in Business Dynamics at the Sloan School of Management of the Massachusetts Institute of Technology (USA). He has been teacher of building simulation models during twenty years in several universities and now he teaches the online courses of Vensim in http://vensim.com/vensim-online-courses/
Book Synopsis Intelligent Optimization Modelling in Energy Forecasting by : Wei-Chiang Hong
Download or read book Intelligent Optimization Modelling in Energy Forecasting written by Wei-Chiang Hong and published by MDPI. This book was released on 2020-04-01 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate energy forecasting is important to facilitate the decision-making process in order to achieve higher efficiency and reliability in power system operation and security, economic energy use, contingency scheduling, the planning and maintenance of energy supply systems, and so on. In recent decades, many energy forecasting models have been continuously proposed to improve forecasting accuracy, including traditional statistical models (e.g., ARIMA, SARIMA, ARMAX, multi-variate regression, exponential smoothing models, Kalman filtering, Bayesian estimation models, etc.) and artificial intelligence models (e.g., artificial neural networks (ANNs), knowledge-based expert systems, evolutionary computation models, support vector regression, etc.). Recently, due to the great development of optimization modeling methods (e.g., quadratic programming method, differential empirical mode method, evolutionary algorithms, meta-heuristic algorithms, etc.) and intelligent computing mechanisms (e.g., quantum computing, chaotic mapping, cloud mapping, seasonal mechanism, etc.), many novel hybrid models or models combined with the above-mentioned intelligent-optimization-based models have also been proposed to achieve satisfactory forecasting accuracy levels. It is important to explore the tendency and development of intelligent-optimization-based modeling methodologies and to enrich their practical performances, particularly for marine renewable energy forecasting.
Book Synopsis Modeling, Simulation, and Optimization by : Pandian Vasant
Download or read book Modeling, Simulation, and Optimization written by Pandian Vasant and published by Springer. This book was released on 2017-12-07 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected contributions in the areas of modeling, simulation, and optimization. The contributors discusses requirements in problem solving for modeling, simulation, and optimization. Modeling, simulation, and optimization have increased in demand in exponential ways and how potential solutions might be reached. They describe how new technologies in computing and engineering have reduced the dimension of data coverage worldwide, and how recent inventions in information and communication technology (ICT) have inched towards reducing the gaps and coverage of domains globally. The chapters cover how the digging of information in a large data and soft-computing techniques have contributed to a strength in prediction and analysis, for decision making in computer science, technology, management, social computing, green computing, and telecom. The book provides an insightful reference to the researchers in the fields of engineering and computer science. Researchers, academics, and professionals will benefit from this volume. Features selected expanded papers in modeling, simulation, and optimization from COMPSE 2016; Includes research into soft computing and its application in engineering and technology; Presents contributions from global experts in academia and industry in modeling, simulation, and optimization.
Book Synopsis Power System Optimization Modeling in GAMS by : Alireza Soroudi
Download or read book Power System Optimization Modeling in GAMS written by Alireza Soroudi and published by Springer. This book was released on 2017-08-29 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book describes how the General Algebraic Modeling System (GAMS) can be used to solve various power system operation and planning optimization problems. This book is the first of its kind to provide readers with a comprehensive reference that includes the solution codes for basic/advanced power system optimization problems in GAMS, a computationally efficient tool for analyzing optimization problems in power and energy systems. The book covers theoretical background as well as the application examples and test case studies. It is a suitable reference for dedicated and general audiences including power system professionals as well as researchers and developers from the energy sector and electrical power engineering community and will be helpful to undergraduate and graduate students.
Book Synopsis Building Energy Modeling with OpenStudio by : Larry Brackney
Download or read book Building Energy Modeling with OpenStudio written by Larry Brackney and published by Springer. This book was released on 2018-05-15 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook teaches the fundamentals of building energy modeling and analysis using open source example applications built with the US DOE’s OpenStudio modeling platform and EnergyPlus simulation engine. Designed by researchers at US National Laboratories to support a new generation of high performance buildings, EnergyPlus and OpenStudio are revolutionizing how building energy modeling is taught in universities and applied by professional architects and engineers around the world. The authors, all researchers at National Renewable Energy Laboratory and members of the OpenStudio software development team, present modeling concepts using open source software that may be generally applied using a variety of software tools commonly used by design professionals. The book also discusses modeling process automation in the context of OpenStudio Measures—small self-contained scripts that can transform energy models and their data—to save time and effort. They illustrate key concepts through a sophisticated example problem that evolves in complexity throughout the book. The text also examines advanced topics including daylighting, parametric analysis, uncertainty analysis, design optimization, and model calibration. Building Energy Modeling with OpenStudio teaches students to become sophisticated modelers rather than simply proficient software users. It supports undergraduate and graduate building energy courses in Architecture, and in Mechanical, Civil, Architectural, and Sustainability Engineering.
Book Synopsis Simulation and Optimization of Complex Energy Components and Systems by : Alex Terme Turmo
Download or read book Simulation and Optimization of Complex Energy Components and Systems written by Alex Terme Turmo and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this thesis is to perform a simulation and optimization of the energetic components of an energy plant. The project will be focused in the study case for the company Cover on its plant located in Novara (Italy). The main goal is determine when each energy component of the plant has to be operating and at which level of its capacity in order to minimize the cost of the whole system and understand the interaction between the different elements of the system. The project can be divided in three parts: create the scenarios for running the simulations the modeling of the plant, simulation and optimization and interpretation of the results. The first part consists in collect all the necessary information in order to run the simulations. In this part all the components for modeling the plant will be created and all the interactions will be defined. Moreover, all the demand and price profiles will be created and structured in the right way so all the data could be analyzed by the optimization software. The second part consist in perform the optimization and collect all the output data for a later analysis. Finally, with the results obtained from the simulation, an analysis of all the data has to be done in order to understand all the interactions of the system and be able to provide the optimal solution that minimize the operating cost.
Book Synopsis Applied Simulation and Optimization 2 by : Miguel Mujica Mota
Download or read book Applied Simulation and Optimization 2 written by Miguel Mujica Mota and published by Springer. This book was released on 2017-05-18 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building on the author’s earlier Applied Simulation and Optimization, this book presents novel methods for solving problems in industry, based on hybrid simulation-optimization approaches that combine the advantages of both paradigms. The book serves as a comprehensive guide to tackling scheduling, routing problems, resource allocations and other issues in industrial environments, the service industry, production processes, or supply chains and aviation. Logistics, manufacturing and operational problems can either be modelled using optimization techniques or approaches based on simulation methodologies. Optimization techniques have the advantage of performing efficiently when the problems are properly defined, but they are often developed through rigid representations that do not include or accurately represent the stochasticity inherent in real systems. Furthermore, important information is lost during the abstraction process to fit each problem into the optimization technique. On the other hand, simulation approaches possess high description levels, but the optimization is generally performed through sampling of all the possible configurations of the system. The methods explored in this book are of use to researchers and practising engineers in fields ranging from supply chains to the aviation industry.
Book Synopsis Optimisation Models and Methods in Energy Systems by : Carlos Henggeler Antunes
Download or read book Optimisation Models and Methods in Energy Systems written by Carlos Henggeler Antunes and published by MDPI. This book was released on 2019-08-06 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue Optimisation Models and Methods in Energy Systems that was published in Energies
Book Synopsis Stochastic Modeling And Analytics In Healthcare Delivery Systems by : Jingshan Li
Download or read book Stochastic Modeling And Analytics In Healthcare Delivery Systems written by Jingshan Li and published by World Scientific. This book was released on 2017-09-22 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, there has been an increased interest in the field of healthcare delivery systems. Scientists and practitioners are constantly searching for ways to improve the safety, quality and efficiency of these systems in order to achieve better patient outcome.This book focuses on the research and best practices in healthcare engineering and technology assessment. With contributions from researchers in the fields of healthcare system stochastic modeling, simulation, optimization and management, this is a valuable read.
