Start-Up Creation

  • ID: 3626978
  • Book
  • 510 Pages
  • Elsevier Science and Technology
1 of 4
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

Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.
Note: Product cover images may vary from those shown
2 of 4

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

Note: Product cover images may vary from those shown
3 of 4


4 of 4
Pacheco-Torgal, Fernando
Fernando Pacheco-Torgal is a Senior Researcher in the C-TAC Research Centre at the University of Minho, Portugal. He has authored almost 300 publications, including 96 in ISI Web of Science-WoS and 92 on Scopus. Having received 798 citations in WoS (h-index=15) and 1125 citations on Scopus (h-index=18). He has a SCI Platinum h=30 the highest in the field of civil engineering in Portugal. He has also been the Lead Editor of 14 international books, with more than 500 contributors from 52 countries in the five continents.
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
Ivanov, Volodymyr
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.
Makonin, Stephen
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.
Note: Product cover images may vary from those shown
5 of 4
Note: Product cover images may vary from those shown