The Implications of a Data Driven-built Environment

The Implications of a Data Driven-built Environment PDF

Author: Douglas Braaten

Publisher: Wiley-Blackwell

Published: 2013

Total Pages: 0

ISBN-13: 9781573319089

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This Annals issue showcases the proceedings of the conference "Implications of a Data-Driven Built Environment," presented by the New York Academy of Sciences' Green Buildings Discussion Group on May 30, 2012. Contributors to the issue are leaders in energy, building management, real estate, sustainability, and industry, and discuss how large data sets can be harnessed to improve energy management in the built environment. Topics covered in this issue include the use of emerging data-rich analytic techniques in infrastructure, and analytical tools to assess energy consumption in building portfolios; assigning spatially and temporally unique identifiers to buildings and spaces; the significance of energy disclosure requirements and a framework for using these sources of publicly available information; agent-based simulation and its potential as an approach to support improvements in the built environment; and an advanced building energy management system (aBEMS) that enables identification of gradual and discrete performance erosion and faults.

Data-driven Multivalence in the Built Environment

Data-driven Multivalence in the Built Environment PDF

Author: Nimish Biloria

Publisher: Springer

Published: 2019-07-01

Total Pages: 338

ISBN-13: 3030121801

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This book sets the stage for understanding how the exponential escalation of digital ubiquity in the contemporary environment is being absorbed, modulated, processed and actively used for enhancing the performance of our built environment. S.M.A.R.T., in this context, is thus used as an acronym for Systems & Materials in Architectural Research and Technology, with a specific focus on interrogating the intricate relationship between information systems and associative material, cultural and socioeconomic formations within the built environment. This interrogation is deeply rooted in exploring inter-disciplinary research and design strategies involving nonlinear processes for developing meta-design systems, evidence based design solutions and methodological frameworks, some of which, are presented in this issue. Urban health and wellbeing, urban mobility and infrastructure, smart manufacturing, Interaction Design, Urban Design & Planning as well as Data Science, as prominent symbiotic domains constituting the Built Environment are represented in this first book in the S.M.A.R.T. series. The spectrum of chapters included in this volume helps in understanding the multivalence of data from a socio-technical perspective and provides insight into the methodological nuances involved in capturing, analysing and improving urban life via data driven technologies.

Data-driven Analytics for Sustainable Buildings and Cities

Data-driven Analytics for Sustainable Buildings and Cities PDF

Author: Xingxing Zhang

Publisher: Springer Nature

Published: 2021-09-11

Total Pages: 450

ISBN-13: 9811627789

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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.

Proceedings of the 18th International Conference on Computing in Civil and Building Engineering

Proceedings of the 18th International Conference on Computing in Civil and Building Engineering PDF

Author: Eduardo Toledo Santos

Publisher: Springer Nature

Published: 2020-07-14

Total Pages: 1332

ISBN-13: 3030512959

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This book gathers the latest advances, innovations, and applications in the field of information technology in civil and building engineering, presented at the 18th International Conference on Computing in Civil and Building Engineering (ICCCBE), São Paulo, Brazil, August 18-20, 2020. It covers highly diverse topics such as BIM, construction information modeling, knowledge management, GIS, GPS, laser scanning, sensors, monitoring, VR/AR, computer-aided construction, product and process modeling, big data and IoT, cooperative design, mobile computing, simulation, structural health monitoring, computer-aided structural control and analysis, ICT in geotechnical engineering, computational mechanics, asset management, maintenance, urban planning, facility management, and smart cities. Written by leading researchers and engineers, and selected by means of a rigorous international peer-review process, the contributions highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations.

Smart Sustainable Cities of the Future

Smart Sustainable Cities of the Future PDF

Author: Simon Elias Bibri

Publisher: Springer

Published: 2018-02-24

Total Pages: 660

ISBN-13: 3319739816

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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.

Data-centric Regenerative Built Environment

Data-centric Regenerative Built Environment PDF

Author: Saeed Banihashemi

Publisher: Routledge

Published: 2022-03-17

Total Pages: 164

ISBN-13: 1000593193

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This book examines the use of big data in regenerative urban environment and how data helps in functional planning and design solutions. This book is one of the first endeavors to present the data-driven methods for regenerative built environments and integrate it with the novel design solutions. It looks at four specific areas in which data is used – urban land use, transportation and traffic, environmental concerns and social issues – and draws on the theoretical literature concerning regenerative built environments to explain how the power of big data can achieve the systematic integration of urban design solutions. It then applies an in-depth case study method on Asian metropolises including Beijing and Tehran to bring the developed innovation into a research-led practical context. This book is a useful reference for anyone interested in driving sustainable regeneration of our urban environments through big data-centric design solutions.

IP-Enabled Energy Management

IP-Enabled Energy Management PDF

Author: Rob Aldrich

Publisher: John Wiley & Sons

Published: 2010-09-16

Total Pages: 333

ISBN-13: 0470943882

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Extend Your Energy Management Capabilities Managing energy usage via a company network allows you to create an energy management program that can be scaled company-wide, and this unique book shows you just how to do it. Through step-by-step instruction and real-world case studies drawn from the expert author team's own experience at Cisco, this book lays out an IP-based energy management strategy to optimize resources, dramatically increase energy savings, and significantly reduce your carbon footprint. How do you establish energy management across multiple functions, such as compute, network, and storage while preparing for building infrastructure convergence? How do you set up energy domains on a network? How do you bring this all together into one unified energy program then deploy it, manage it, and measure results? Find the answers in this timely guide. Consider energy in terms of risk, cost, and resource management Gather raw data on where your company is now and set up benchmarking Create strategies across multiple stakeholders and goals, including facilities, IT, security, and sustainability Establish and administer energy domains Review the basics of energy accounting, measure results, and set up reporting See how to make your program sustainable and prepare for the future

Data-Driven Design and Construction

Data-Driven Design and Construction PDF

Author: Randy Deutsch

Publisher: John Wiley & Sons

Published: 2015-10-12

Total Pages: 384

ISBN-13: 1118898702

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“In this comprehensive book, Professor Randy Deutsch has unlocked and laid bare the twenty-first century codice nascosto of architecture. It is data. Big data. Data as driver. . .This book offers us the chance to become informed and knowledgeable pursuers of data and the opportunities it offers to making architecture a wonderful, useful, and smart art form.” —From the Foreword by James Timberlake, FAIA Written for architects, engineers, contractors, owners, and educators, and based on today’s technology and practices, Data-Driven Design and Construction: 25 Strategies for Capturing, Applying and Analyzing Building Data addresses how innovative individuals and firms are using data to remain competitive while advancing their practices. seeks to address and rectify a gap in our learning, by explaining to architects, engineers, contractors and owners—and students of these fields—how to acquire and use data to make more informed decisions. documents how data-driven design is the new frontier of the convergence between BIM and architectural computational analyses and associated tools. is a book of adaptable strategies you and your organization can apply today to make the most of the data you have at your fingertips. Data-Driven Design and Construction was written to help design practitioners and their project teams make better use of BIM, and leverage data throughout the building lifecycle.

Technological Paradigms and Digital Eras

Technological Paradigms and Digital Eras PDF

Author: Giacomo Chiesa

Publisher: Springer

Published: 2019-07-24

Total Pages: 192

ISBN-13: 3030261999

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The book connects the ICT and the architectural worlds, analyzing modeling, materialization and data-driven visions for design issues at different scales. Furthermore, using sample modeling and materialization tools, it explores the links between performance-driven design approaches and the application of new digital technologies. Intended for architects and urbanists, it provides a theoretical framework to address the implications of the digital revolution in building design and operation. Furthermore, combining insights from IT and ICT with architectural and urban design know-how, it offers engineering professionals a technology-driven interpretation of the building design field.