Data Science Applied to Sustainability Analysis PDF Download

Author: Jennifer Dunn
Publisher: Elsevier
ISBN: 0128179775
Category : Science
Languages : en
Pages : 312

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Book Description
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

Author: Ting Yu
Publisher: CRC Press
ISBN: 1439895953
Category : Business & Economics
Languages : en
Pages : 443

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Book Description
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

Author: Jingzheng Ren
Publisher: Elsevier
ISBN: 012824240X
Category : Science
Languages : en
Pages : 446

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Book Description
Methods in Sustainability Science: Assessment, Prioritization, Improvement, Design and Optimization presents cutting edge, detailed methodologies needed to create sustainable growth in any field or industry, including life cycle assessments, building design, and energy systems. The book utilized a systematic structured approach to each of the methodologies described in an interdisciplinary way to ensure the methodologies are applicable in the real world, including case studies to demonstrate the methods. The chapters are written by a global team of authors in a variety of sustainability related fields. Methods in Sustainability Science: Assessment, Prioritization, Improvement, Design and Optimization will provide academics, researchers and practitioners in sustainability, especially environmental science and environmental engineering, with the most recent methodologies needed to maintain a sustainable future. It is also a necessary read for postgraduates in sustainability, as well as academics and researchers in energy and chemical engineering who need to ensure their industrial methodologies are sustainable. - Provides a comprehensive overview of the most recent methodologies in sustainability assessment, prioritization, improvement, design and optimization - Sections are organized in a systematic and logical way to clearly present the most recent methodologies for sustainability and the chapters utilize an interdisciplinary approach that covers all considerations of sustainability - Includes detailed case studies demonstrating the efficacies of the described methods

Author: Chkoniya, Valentina
Publisher: IGI Global
ISBN: 1799869865
Category : Computers
Languages : en
Pages : 653

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Book Description
The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.

Author: Guido Sonnemann
Publisher: Edward Elgar Publishing
ISBN: 1800378653
Category : Business & Economics
Languages : en
Pages : 461

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Book Description
This Handbook presents the state-of-the-art of Life Cycle Sustainability Assessment (LCSA) practice and provides guidance for its implementation and outlook for future work. Spotlighting sustainability analysts, managers and overall decision-makers from private and public sectors as well as experts in academia, it covers the historical background and current global context for life cycle sustainability assessment, methods and data management advancements.

Author: S. Shmelev
Publisher: Springer
ISBN: 0230362435
Category : Business & Economics
Languages : en
Pages : 501

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Book Description
Sustainability Analysis provides a detailed exploration of current environmental thinking from a variety of perspectives, including institutional and psychological angles. Primarily focusing on macroeconomic policies and green national accounting, this book provides a strong basis for further study in sustainable development.

Author: Cuong Ha-Minh
Publisher: Springer Nature
ISBN: 9811671605
Category : Science
Languages : en
Pages : 1861

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Book Description
This book highlights the key role of green infrastructure (GI) in providing natural and ecosystem solutions, helping alleviate many of the environmental, social, and economic problems caused by rapid urbanization. The book gathers the emerging technologies and applications in various disciplines involving geotechnics, civil engineering, and structures, which are presented in numerous high-quality papers by worldwide researchers, practitioners, policymakers, and entrepreneurs at the 6th CIGOS event, 2021. Moreover, by sharing knowledge and experiences around emerging GI technologies and policy issues, the book aims at encouraging adoption of GI technologies as well as building capacity for implementing GI practices at all scales. This book is useful for researchers and professionals in designing, building, and managing sustainable buildings and infrastructure.

Author: Roland Vogl
Publisher: Edward Elgar Publishing
ISBN: 1788972821
Category : Law
Languages : en
Pages : 544

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Book Description
This state-of-the-art Research Handbook provides an overview of research into, and the scope of current thinking in, the field of big data analytics and the law. It contains a wealth of information to survey the issues surrounding big data analytics in legal settings, as well as legal issues concerning the application of big data techniques in different domains.

Author: Sukhminderjit Kaur
Publisher: Springer Nature
ISBN: 9819729106
Category :
Languages : en
Pages : 372

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Book Description

Author: Ibrahim Dinçer
Publisher: John Wiley & Sons
ISBN: 1119825784
Category : Technology & Engineering
Languages : en
Pages : 581

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Book Description
Introduction to Energy Systems An in-depth introduction to applications and analysis of energy systems, covering both renewable and traditional types of energy systems In Introduction to Energy Systems, the content is uniquely designed to cover comprehensive descriptions and assessments of all the key types of energy sources, including fossil fuels-based, nuclear, and renewable energy systems, with a special focus on their design, analysis and assessment, technical and operational aspects, and applications. As a comprehensive resource, the work also introduces many topics not typically covered in other energy system textbooks, such as system design and assessment through exergy, environmental impact assessment of energy systems, and life cycle assessment. From a theory standpoint, the book provides context on the importance of energy and the issues related to energy we face in our world today, with close attention paid to key environmental and sustainability issues. Furthermore, the book includes illustrative examples and problems, and case studies. To aid in seamless reader comprehension, helpful questions and problems are included at the end of each chapter. Sample topics covered in Introduction to Energy Systems include: Fundamental concepts and thermodynamic principles, traditional and innovative systems, and detailed applications in renewable energy systems, including solar, wind, geothermal, biomass, hydro, and marine energies Different types of fuels used in energy systems today, discussions of their combustion characteristics with a clear analysis of each one, and analyses and assessments through energy and exergy approaches Industrial ecology and life cycle assessment, with the intention of clearly assessing the environmental impacts of energy systems How to write balance equations for mass, energy, entropy and exergy, calculate the required capacities, and find the energy and exergy efficiencies and/or energetic and exegetics coefficient of performance values Introduction to Energy Systems serves as a valuable learning resource for both undergraduate and graduate students studying courses, such as Introduction to Energy Systems, Energy System Design, Renewable Energy, Energy & Sustainability, and Fundamentals of Renewable Energy.