Modeling Simulation And Optimization In The Health And Energy Sector
DOWNLOAD
Download Modeling Simulation And Optimization In The Health And Energy Sector PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Modeling Simulation And Optimization In The Health And Energy Sector book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Modeling Simulation And Optimization In The Health And Energy Sector
DOWNLOAD
Author : René Pinnau
language : en
Publisher: Springer Nature
Release Date : 2022-06-08
Modeling Simulation And Optimization In The Health And Energy Sector written by René Pinnau and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-08 with Mathematics categories.
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.
Modeling Simulation And Optimization
DOWNLOAD
Author : Biplab Das
language : en
Publisher: Springer Nature
Release Date : 2021-03-17
Modeling Simulation And Optimization written by Biplab Das and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-17 with Technology & Engineering categories.
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.
Simulation Based Optimization Models For Electricity Generation Expansion Planning Problems Considering Human Health Externalities
DOWNLOAD
Author : Mark David Rodgers
language : en
Publisher:
Release Date : 2016
Simulation Based Optimization Models For Electricity Generation Expansion Planning Problems Considering Human Health Externalities written by Mark David Rodgers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Mathematical optimizations categories.
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.
Modeling And Simulation In Energy Management
DOWNLOAD
Author : Juan Martín García
language : en
Publisher:
Release Date : 2019-10-17
Modeling And Simulation In Energy Management written by Juan Martín García and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-17 with categories.
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/
Optimization And Control In Energy Management
DOWNLOAD
Author : Atanda Kamoru Raji
language : en
Publisher:
Release Date : 2024-04-12
Optimization And Control In Energy Management written by Atanda Kamoru Raji and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-12 with Technology & Engineering categories.
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.
Modeling And Simulation Support For System Of Systems Engineering Applications
DOWNLOAD
Author : Larry B. Rainey
language : en
Publisher: John Wiley & Sons
Release Date : 2015-01-05
Modeling And Simulation Support For System Of Systems Engineering Applications written by Larry B. Rainey and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-05 with Mathematics categories.
“...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.
Real Time Modeling Simulation And Control Of Dynamical Systems
DOWNLOAD
Author : Asif Mahmood Mughal
language : en
Publisher: Springer
Release Date : 2016-06-27
Real Time Modeling Simulation And Control Of Dynamical Systems written by Asif Mahmood Mughal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-27 with Technology & Engineering categories.
This book introduces modeling and simulation of linear time invariant systems and demonstrates how these translate to systems engineering, mechatronics engineering, and biomedical engineering. It is organized into nine chapters that follow the lectures used for a one-semester course on this topic, making it appropriate for students as well as researchers. The author discusses state space modeling derived from two modeling techniques and the analysis of the system and usage of modeling in control systems design. It also contains a unique chapter on multidisciplinary energy systems with a special focus on bioengineering systems and expands upon how the bond graph augments research in biomedical and bio-mechatronics systems.
Intelligent Optimization Modelling In Energy Forecasting
DOWNLOAD
Author : Wei-Chiang Hong
language : en
Publisher: MDPI
Release Date : 2020-04-01
Intelligent Optimization Modelling In Energy Forecasting written by Wei-Chiang Hong and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-01 with Computers categories.
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.
Modelling And Simulation Of Complex Systems For Sustainable Energy Efficiency
DOWNLOAD
Author : Ahmed Hammami
language : en
Publisher: Springer Nature
Release Date : 2021-08-21
Modelling And Simulation Of Complex Systems For Sustainable Energy Efficiency written by Ahmed Hammami and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-21 with Technology & Engineering categories.
This book provides readers with an overview of recent theories and methods for studying complex mechanical systems used in energy production, such as wind turbines, but not limited to them. The emphasis is put on strategies for increasing energy efficiency, and on recent industrial applications. Topics cover dynamics and vibration, vibroacoustics, engineering design, modelling and simulation, fault diagnostics, signal processing and prognostics. The book is based on peer-review contributions and invited talks presented at the first International Workshop on MOdelling and Simulation of COmplex Systems for Sustainable Energy Efficiency, MOSCOSSEE 2021, held online on February 25-26, 2021, and organized by the LAboratory of Mechanics, Modelling and Production (LA2MP) from University of Sfax, Tunisia and the Department of Mechanical and Aeronautical engineering, Centre of Asset Integrity Management (C-AIM) from University of Pretoria, South Africa. By offering authoritative information on innovative methods and tools for application in renewable energy production, it provides a valuable resource to both academics and professionals, and a bridge to facilitate communication between the two groups.
Improving Energy Efficiency Through Data Driven Modeling Simulation And Optimization
DOWNLOAD
Author : Dirk Deschrijver
language : en
Publisher: Mdpi AG
Release Date : 2021-05-31
Improving Energy Efficiency Through Data Driven Modeling Simulation And Optimization written by Dirk Deschrijver and has been published by Mdpi AG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-31 with categories.
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.