Start-Up Creation: The Smart Eco-efficient Built Environment

· · · · ·
· Woodhead Publishing
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510
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About this ebook

Start-Up Creation: The Smart Eco-efficient Built Environment

provides a state-of-the-art review on high-technology applications and explains how these can be applied to improve the eco-efficiency of the built environment. Divided into four main parts, the book explains the key factors behind successful startup companies that grow from university research, including the development of a business plan, the importance of intellectual property, necessary entrepreneurial skills, and innovative thinking.

Part Two presents the latest research findings on nano and bio-based technologies and their application and use to the energy efficiency of the built environment. Part Three focuses on the use of genetic algorithms, Big Data, and the Internet of Things applications. Finally, the book ends with an entire section dedicated to App development using selected case studies that illustrate their application and use for monitoring building energy-efficiency.

  • Presents a definitive guide for startups that arise from college and university research, and how the application of advanced technologies can be applied to the built environment
  • Includes case studies on new advanced technologies and apps development
  • Links startup creation to the eco-efficient built environment through software applications

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About the author

Erik Stavnsager Rasmussen is an Associate Professor in the Department of Marketing and Management, International Business and Entrepreneurship, University of Southern Denmark, Denmark. His research areas include international new ventures and born global firms.

Claes G. Granqvist is Professor of Solid-State Physics at the Ångström Laboratory, Uppsala University, Sweden. His research is focused on optical and electrical properties of materials, especially thin films for energy efficiency and solar energy utilization. He has written numerous scientific publications, books and proceedings volumes and is a member of several academies and societies.

Dr. Volodymyr Ivanov has more than 40 years of teaching and research experience on Environmental, Industrial, and Construction Microbiology and Biotechnology in the universities of Europe, Asia, and USA. He has authored 200 papers, patents, book chapters and 8 monographs. His textbook “Environmental Microbiology for Engineers”, Francis & Taylor, 1st (2010) and 2nd (2015) editions, has been adopted for graduate and post-graduate courses in many universities. His research experience includes the supervision and participation in numerous projects on biotechnologies with biofilms and biogranules, microbial transformations of iron, biocementation, bioclogging, bioremediation of soil, and microbiological monitoring of water quality.

A. Kaklauskas is a professor at Vilnius Gediminas Technical University, in Lithuania; Member of the Research Council of Lithuania; Member of the Science Europe working group on Data Sharing and Supporting Infrastructures; Head of the Department of Construction Management and Property; member of the Lithuanian Academy of Sciences; editor-in-chief of Journal of Civil Engineering and Management; editor of Engineering Applications of Artificial Intelligence; and associate editor of Ecological Indicators. He contributed to nine Framework and five Horizon 2020 program projects and participated in over 30 other projects in the EU, US, Africa. and Asia. His publications include nine books and 150 papers. His areas of interest include affective computing; intelligent tutoring systems; affective intelligent tutoring systems; massive open online courses (MOOCS); affective internet of things; smart built environment; intelligent event prediction; opinion mining; intelligent decision support systems; life cycle analyses of built environments; big data and text analytics.

Dr. Stephen Makonin is a postdoctoral fellow in Engineering Science at Simon Fraser University. His research interests include data science, big data, computational sustainability, probabilistic modelling, disaggregation, and nonintrusive load monitoring (NILM). Other interests include open science; the making of hardware and software open source and the creation of public datasets.

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