Data Driven Modeling For Sustainable Engineering

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Data-Driven Modeling for Sustainable Engineering

Author : Kondo H. Adjallah
Publisher : Springer
ISBN 13 : 3030136973
Total Pages : 420 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Data-Driven Modeling for Sustainable Engineering by : Kondo H. Adjallah

Download or read book Data-Driven Modeling for Sustainable Engineering written by Kondo H. Adjallah and published by Springer. This book was released on 2019-06-21 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the proceedings of the 1st International Conference on Engineering, Applied Sciences and System Modeling (ICEASSM), a four-day event (18th–21st April 2017) held in Accra, Ghana. It focuses on research work promoting a better understanding of engineering problems through applied sciences and modeling, and on solutions generated in an African setting but with relevance to the world as a whole. The book provides a holistic overview of challenges facing Africa, and addresses various areas from research and development perspectives. Presenting contributions by scientists, engineers and experts hailing from a host of international institutions, the book offers original approaches and technological solutions to help solve real-world problems through research and knowledge sharing. Further, it explores promising opportunities for collaborative research on issues of scientific, economic and social development, making it of interest to researchers, scientists and practitioners looking to conduct research in disciplines such as water supply, control, civil engineering, statistical modeling, renewable energy and sustainable urban development.

Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering

Author : Shahab Araghinejad
Publisher : Springer Science & Business Media
ISBN 13 : 9400775067
Total Pages : 299 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering by : Shahab Araghinejad

Download or read book Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering written by Shahab Araghinejad and published by Springer Science & Business Media. This book was released on 2013-11-26 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com. The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.

Data-Driven Science and Engineering

Author : Steven L. Brunton
Publisher : Cambridge University Press
ISBN 13 : 1009098489
Total Pages : 615 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton

Download or read book Data-Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Data-driven Analytics for Sustainable Buildings and Cities

Author : Xingxing Zhang
Publisher : Springer Nature
ISBN 13 : 9811627789
Total Pages : 450 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Data-driven Analytics for Sustainable Buildings and Cities by : Xingxing Zhang

Download or read book Data-driven Analytics for Sustainable Buildings and Cities written by Xingxing Zhang and published by Springer Nature. This book was released on 2021-09-11 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the interdisciplinary and transdisciplinary fields of energy systems, occupant behavior, thermal comfort, air quality and economic modelling across levels of building, communities and cities, through various data analytical approaches. It highlights the complex interplay of heating/cooling, ventilation and power systems in different processes, such as design, renovation and operation, for buildings, communities and cities. Methods from classical statistics, machine learning and artificial intelligence are applied into analyses for different building/urban components and systems. Knowledge from this book assists to accelerate sustainability of the society, which would contribute to a prospective improvement through data analysis in the liveability of both built and urban environment. This book targets a broad readership with specific experience and knowledge in data analysis, energy system, built environment and urban planning. As such, it appeals to researchers, graduate students, data scientists, engineers, consultants, urban scientists, investors and policymakers, with interests in energy flexibility, building/city resilience and climate neutrality.

Data-Driven and Model-Based Methods for Fault Detection and Diagnosis

Author : Majdi Mansouri
Publisher : Elsevier
ISBN 13 : 0128191651
Total Pages : 324 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Data-Driven and Model-Based Methods for Fault Detection and Diagnosis by : Majdi Mansouri

Download or read book Data-Driven and Model-Based Methods for Fault Detection and Diagnosis written by Majdi Mansouri and published by Elsevier. This book was released on 2020-02-05 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and enhance monitoring through chemical and environmental processes. The book provides both the theoretical framework and technical solutions. It starts with a review of relevant literature, proceeds with a detailed description of developed methodologies, and then discusses the results of developed methodologies, and ends with major conclusions reached from the analysis of simulation and experimental studies. The book is an indispensable resource for researchers in academia and industry and practitioners working in chemical and environmental engineering to do their work safely. - Outlines latent variable based hypothesis testing fault detection techniques to enhance monitoring processes represented by linear or nonlinear input-space models (such as PCA) or input-output models (such as PLS) - Explains multiscale latent variable based hypothesis testing fault detection techniques using multiscale representation to help deal with uncertainty in the data and minimize its effect on fault detection - Includes interval PCA (IPCA) and interval PLS (IPLS) fault detection methods to enhance the quality of fault detection - Provides model-based detection techniques for the improvement of monitoring processes using state estimation-based fault detection approaches - Demonstrates the effectiveness of the proposed strategies by conducting simulation and experimental studies on synthetic data

Water Engineering Modeling and Mathematic Tools

Author : Pijush Samui
Publisher : Elsevier
ISBN 13 : 0128208775
Total Pages : 592 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Water Engineering Modeling and Mathematic Tools by : Pijush Samui

Download or read book Water Engineering Modeling and Mathematic Tools written by Pijush Samui and published by Elsevier. This book was released on 2021-02-05 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Water Engineering Modeling and Mathematic Tools provides an informative resource for practitioners who want to learn more about different techniques and models in water engineering and their practical applications and case studies. The book provides modelling theories in an easy-to-read format verified with on-site models for specific regions and scenarios. Users will find this to be a significant contribution to the development of mathematical tools, experimental techniques, and data-driven models that support modern-day water engineering applications. Civil engineers, industrialists, and water management experts should be familiar with advanced techniques that can be used to improve existing systems in water engineering. This book provides key ideas on recently developed machine learning methods and AI modelling. It will serve as a common platform for practitioners who need to become familiar with the latest developments of computational techniques in water engineering. - Includes firsthand experience about artificial intelligence models, utilizing case studies - Describes biological, physical and chemical techniques for the treatment of surface water, groundwater, sea water and rain/snow - Presents the application of new instruments in water engineering

Fault Diagnosis and Sustainable Control of Wind Turbines

Author : Silvio Simani
Publisher : Butterworth-Heinemann
ISBN 13 : 0128129859
Total Pages : 230 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Fault Diagnosis and Sustainable Control of Wind Turbines by : Silvio Simani

Download or read book Fault Diagnosis and Sustainable Control of Wind Turbines written by Silvio Simani and published by Butterworth-Heinemann. This book was released on 2018-01-02 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault Diagnosis and Sustainable Control of Wind Turbines: Robust Data-Driven and Model-Based Strategies discusses the development of reliable and robust fault diagnosis and fault-tolerant ('sustainable') control schemes by means of data-driven and model-based approaches. These strategies are able to cope with unknown nonlinear systems and noisy measurements. The book also discusses simpler solutions relying on data-driven and model-based methodologies, which are key when on-line implementations are considered for the proposed schemes. The book targets both professional engineers working in industry and researchers in academic and scientific institutions. In order to improve the safety, reliability and efficiency of wind turbine systems, thus avoiding expensive unplanned maintenance, the accommodation of faults in their early occurrence is fundamental. To highlight the potential of the proposed methods in real applications, hardware–in–the–loop test facilities (representing realistic wind turbine systems) are considered to analyze the digital implementation of the designed solutions. The achieved results show that the developed schemes are able to maintain the desired performances, thus validating their reliability and viability in real-time implementations. Different groups of readers—ranging from industrial engineers wishing to gain insight into the applications' potential of new fault diagnosis and sustainable control methods, to the academic control community looking for new problems to tackle—will find much to learn from this work. - Provides wind turbine models with varying complexity, as well as the solutions proposed and developed by the authors - Addresses in detail the design, development and realistic implementation of fault diagnosis and fault tolerant control strategies for wind turbine systems - Addresses the development of sustainable control solutions that, in general, do not require the introduction of further or redundant measurements - Proposes active fault tolerant ('sustainable') solutions that are able to maintain the wind turbine working conditions with gracefully degraded performance before required maintenance can occur - Presents full coverage of the diagnosis and fault tolerant control problem, starting from the modeling and identification and finishing with diagnosis and fault tolerant control approaches - Provides MATLAB and Simulink codes for the solutions proposed

Data Science Applied to Sustainability Analysis

Author : Jennifer Dunn
Publisher : Elsevier
ISBN 13 : 0128179775
Total Pages : 312 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Data Science Applied to Sustainability Analysis by : Jennifer Dunn

Download or read book Data Science Applied to Sustainability Analysis written by Jennifer Dunn and published by Elsevier. This book was released on 2021-05-11 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas. - Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery - Includes considerations sustainability analysts must evaluate when applying big data - Features case studies illustrating the application of data science in sustainability analyses

Introduction to Environmental Data Analysis and Modeling

Author : Moses Eterigho Emetere
Publisher : Springer Nature
ISBN 13 : 3030362078
Total Pages : 239 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Introduction to Environmental Data Analysis and Modeling by : Moses Eterigho Emetere

Download or read book Introduction to Environmental Data Analysis and Modeling written by Moses Eterigho Emetere and published by Springer Nature. This book was released on 2020-01-03 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces numerical methods for processing datasets which may be of any form, illustrating adequately computational resolution of environmental alongside the use of open source libraries. This book solves the challenges of misrepresentation of datasets that are relevant directly or indirectly to the research. It illustrates new ways of screening datasets or images for maximum utilization. The adoption of various numerical methods in dataset treatment would certainly create a new scientific approach. The book enlightens researchers on how to analyse measurements to ensure 100% utilization. It introduces new ways of data treatment that are based on a sound mathematical and computational approach.

Model Calibration and Parameter Estimation

Author : Ne-Zheng Sun
Publisher : Springer
ISBN 13 : 1493923234
Total Pages : 638 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Model Calibration and Parameter Estimation by : Ne-Zheng Sun

Download or read book Model Calibration and Parameter Estimation written by Ne-Zheng Sun and published by Springer. This book was released on 2015-07-01 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-part book provides a comprehensive and systematic introduction to these challenging topics such as model calibration, parameter estimation, reliability assessment, and data collection design. Part 1 covers the classical inverse problem for parameter estimation in both deterministic and statistical frameworks, Part 2 is dedicated to system identification, hyperparameter estimation, and model dimension reduction, and Part 3 considers how to collect data and construct reliable models for prediction and decision-making. For the first time, topics such as multiscale inversion, stochastic field parameterization, level set method, machine learning, global sensitivity analysis, data assimilation, model uncertainty quantification, robust design, and goal-oriented modeling, are systematically described and summarized in a single book from the perspective of model inversion, and elucidated with numerical examples from environmental and water resources modeling. Readers of this book will not only learn basic concepts and methods for simple parameter estimation, but also get familiar with advanced methods for modeling complex systems. Algorithms for mathematical tools used in this book, such as numerical optimization, automatic differentiation, adaptive parameterization, hierarchical Bayesian, metamodeling, Markov chain Monte Carlo, are covered in details. This book can be used as a reference for graduate and upper level undergraduate students majoring in environmental engineering, hydrology, and geosciences. It also serves as an essential reference book for professionals such as petroleum engineers, mining engineers, chemists, mechanical engineers, biologists, biology and medical engineering, applied mathematicians, and others who perform mathematical modeling.

Smart Sustainable Cities of the Future

Author : Simon Elias Bibri
Publisher : Springer
ISBN 13 : 3319739816
Total Pages : 685 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Smart Sustainable Cities of the Future by : Simon Elias Bibri

Download or read book Smart Sustainable Cities of the Future written by Simon Elias Bibri and published by Springer. This book was released on 2018-02-24 with total page 685 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to help explore the field of smart sustainable cities in its complexity, heterogeneity, and breadth, the many faces of a topical subject of major importance for the future that encompasses so much of modern urban life in an increasingly computerized and urbanized world. Indeed, sustainable urban development is currently at the center of debate in light of several ICT visions becoming achievable and deployable computing paradigms, and shaping the way cities will evolve in the future and thus tackle complex challenges. This book integrates computer science, data science, complexity science, sustainability science, system thinking, and urban planning and design. As such, it contains innovative computer–based and data–analytic research on smart sustainable cities as complex and dynamic systems. It provides applied theoretical contributions fostering a better understanding of such systems and the synergistic relationships between the underlying physical and informational landscapes. It offers contributions pertaining to the ongoing development of computer–based and data science technologies for the processing, analysis, management, modeling, and simulation of big and context data and the associated applicability to urban systems that will advance different aspects of sustainability. This book seeks to explicitly bring together the smart city and sustainable city endeavors, and to focus on big data analytics and context-aware computing specifically. In doing so, it amalgamates the design concepts and planning principles of sustainable urban forms with the novel applications of ICT of ubiquitous computing to primarily advance sustainability. Its strength lies in combining big data and context–aware technologies and their novel applications for the sheer purpose of harnessing and leveraging the disruptive and synergetic effects of ICT on forms of city planning that are required for future forms of sustainable development. This is because the effects of such technologies reinforce one another as to their efforts for transforming urban life in a sustainable way by integrating data–centric and context–aware solutions for enhancing urban systems and facilitating coordination among urban domains. This timely and comprehensive book is aimed at a wide audience across science, academia industry, and policymaking. It provides the necessary material to inform relevant research communities of the state–of–the–art research and the latest development in the area of smart sustainable urban development, as well as a valuable reference for planners, designers, strategists, and ICT experts who are working towards the development and implementation of smart sustainable cities based on big data analytics and context–aware computing.

Modelling and Simulation of Complex Systems for Sustainable Energy Efficiency

Author : Ahmed Hammami
Publisher : Springer Nature
ISBN 13 : 3030855848
Total Pages : 270 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Modelling and Simulation of Complex Systems for Sustainable Energy Efficiency by : Ahmed Hammami

Download or read book Modelling and Simulation of Complex Systems for Sustainable Energy Efficiency written by Ahmed Hammami and published by Springer Nature. This book was released on 2021-08-21 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Modeling Tools for Environmental Engineers and Scientists

Author : Nirmala Khandan
Publisher : CRC Press
ISBN 13 : 1420003399
Total Pages : 322 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Modeling Tools for Environmental Engineers and Scientists by : Nirmala Khandan

Download or read book Modeling Tools for Environmental Engineers and Scientists written by Nirmala Khandan and published by CRC Press. This book was released on 2001-12-20 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling Tools for Environmental Engineers and Scientists enables environmental professionals, faculty, and students with minimal computer programming skills to develop computer-based mathematical models for natural and engineered environmental systems. The author illustrates how commercially available syntax-free authoring software can be adapted

Enhancing Urban Sustainability with Data, Modeling, and Simulation

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309494141
Total Pages : 109 pages
Book Rating : 4.3/5 (94 download)

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Book Synopsis Enhancing Urban Sustainability with Data, Modeling, and Simulation by : National Academies of Sciences, Engineering, and Medicine

Download or read book Enhancing Urban Sustainability with Data, Modeling, and Simulation written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-09-24 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: On January 30-31, 2019 the Board on Mathematical Sciences and Analytics, in collaboration with the Board on Energy and Environmental Systems and the Computer Science and Telecommunications Board, convened a workshop in Washington, D.C. to explore the frontiers of mathematics and data science needs for sustainable urban communities. The workshop strengthened the emerging interdisciplinary network of practitioners, business leaders, government officials, nonprofit stakeholders, academics, and policy makers using data, modeling, and simulation for urban and community sustainability, and addressed common challenges that the community faces. Presentations highlighted urban sustainability research efforts and programs under way, including research into air quality, water management, waste disposal, and social equity and discussed promising urban sustainability research questions that improved use of big data, modeling, and simulation can help address. This publication summarizes the presentation and discussion of the workshop.

Engineering and Sustainable Community Development

Author : Juan Lucena
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608450716
Total Pages : 232 pages
Book Rating : 4.6/5 (84 download)

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Book Synopsis Engineering and Sustainable Community Development by : Juan Lucena

Download or read book Engineering and Sustainable Community Development written by Juan Lucena and published by Morgan & Claypool Publishers. This book was released on 2010-10-10 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, Engineering and Sustainable Community Development, presents an overview of engineering as it relates to humanitarian engineering, service learning engineering, or engineering for community development, often called sustainable community development (SCD). The topics covered include a history of engineers and development, the problems of using industry-based practices when designing for communities, how engineers can prepare to work with communities, and listening in community development. It also includes two case studies -- one of engineers developing a windmill for a community in India, and a second of an engineer "mapping communities" in Honduras to empower people to use water effectively -- and student perspectives and experiences on one curricular model dealing with community development. Table of Contents: Introduction / Engineers and Development: From Empires to Sustainable Development / Why Design for Industry Will Not Work as Design for Community / Engineering with Community / Listening to Community / ESCD Case Study 1: Sika Dhari's Windmill / ESCD Case Study 2: Building Organizations and Mapping Communities in Honduras / Students' Perspectives on ESCD: A Course Model / Beyond Engineers and Community: A Path Forward

Computational Intelligent Data Analysis for Sustainable Development

Author : Ting Yu
Publisher : CRC Press
ISBN 13 : 1439895953
Total Pages : 443 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Computational Intelligent Data Analysis for Sustainable Development by : Ting Yu

Download or read book Computational Intelligent Data Analysis for Sustainable Development written by Ting Yu and published by CRC Press. This book was released on 2016-04-19 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development present

GIS Environmental Modelling and Engineering

Author : Allan Brimicombe
Publisher : CRC Press
ISBN 13 : 9780415259231
Total Pages : 326 pages
Book Rating : 4.2/5 (592 download)

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Book Synopsis GIS Environmental Modelling and Engineering by : Allan Brimicombe

Download or read book GIS Environmental Modelling and Engineering written by Allan Brimicombe and published by CRC Press. This book was released on 2003-08-29 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significance of modeling in managing the environment is well recognized from scientific and engineering perspectives as well as in the political arena. Environmental concerns and issues of sustainability have permeated both public and private sectors, particularly the need to predict, assess and mitigate against adverse impacts that arise from continuing development and use of resources. Students need to be made aware of these issues. Practitioners should enrich their knowledge and skills in these areas. This book focuses on the modeling, rather than on data collection or visualization.