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
Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.
1. Introduction to start-up creation for the smart eco-efficient built environment
Part One: Business plans, Start-up Financing, Marketing, Creativity and Intellectual Property Marketing 2. Business plan basics for engineers 3. Lean start-up: Making start-up more successful 4. Start-up financing 5. Marketing for start-ups 6. A Minimalist Model for Measuring Entrepreneurial Creativity in Eco-systems 7. Intellectual property
Part Two: Nano and Biotechnologies for Eco-efficient Buildings 8. Nano-based thermal insulators for building energy efficiency 9. Nano-based thermal storage technologies for building energy efficiency 10. Nano-based chromogenic technologies for building energy efficiency 11. Façade integrated photobioreactors for energy efficiency 12. Biotechnologies for improving indoor air quality 13. Bioplastics for building façades
Part 3: Algorithms, Big Data and IoT for Eco-efficient and Smart Buildings 14. Development of algorithms for building retrofit 15. The use of algorithms for light control 16. Big data and cloud computing for building energy efficiency 17. Intelligent decision support systems and the internet of things for the smart built environment 18. App programming and its use in smart buildings 19. Apps for smart buildings: a case study on building security
F.Pacheco Torgal is a Principal Investigator at C-TAC Research Centre, University of Minho. He holds the Counsellor title of the Portuguese Engineers Association. Authored almost 350 publications some that were cited by Highly Cited authors (SCI h-index>60) and in high impact factor journals like Nature Reviews Mat. (IF=52), Nature Energy (IF=47), Progress in Mater. Science (I.F=24), Physics Reports (IF=20) and Nature Climate Change (I.F=19). Citations received in ISI WoS journals-2819 (h-index=29), citations received in Scopus journals- 3580 (h-index=31). Citations prediction for the year 2029 (around 5.500 citations on WoS, 7.500 on Scopus (already has 7000 MR, h=45) and 16.000 citations on scholar google). Member of the editorial board of 9 international journals, 4 referenced on the Web of Science and three referenced on Scopus. Grant assessor for several scientific institutions in 14 countries, UK, US, Netherlands, China, France, Australia, Croatia, Kazakhstan, Belgium, Spain, Czech Republic, Saudi Arabia, UA.Emirates, Poland and also the EU Commission. Invited reviewer for 133 international journals for which he reviewed so far almost 900 papers. Lead Editor of 19 international books (9 being on the Master Book List of Web of Science).
Rasmussen, Erik Stavnsager
Erik Stavnsager Rasmussen is an Associate Professor at the University of Southern Denmark. His research areas include international new ventures and born global firms.
Granqvist, Claes G.
Senior Professor, Uppsala University, Sweden
Volodymyr Ivanov is a professor at the School of Civil and Environmental Engineering, Nanyang Technological University, Singapore and his research lines encompass nanobiotechnology and microbiotechnology.
Kaklauskas, Habil Arturas
Professor Dr Habil Arturas Kaklauskas is Head of the Department of Construction Economics and Property Management at Vilnius Gediminas Technical University, Lithuania.
Dr. Stephen Makonin is a postodoctoral 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.