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Internet of Things for Smart Buildings

You're reading from   Internet of Things for Smart Buildings Leverage IoT for smarter insights for buildings in the new and built environments

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Product type Paperback
Published in Mar 2023
Publisher Packt
ISBN-13 9781804619865
Length 306 pages
Edition 1st Edition
Languages
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Author (1):
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Harry G. Smeenk Harry G. Smeenk
Author Profile Icon Harry G. Smeenk
Harry G. Smeenk
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Table of Contents (22) Chapters Close

Preface 1. Part 1: Applications for Smart Buildings
2. Chapter 1: An Introduction to IoT and Smart Buildings FREE CHAPTER 3. Chapter 2: Smart Building Operations and Controls 4. Chapter 3: First Responders and Building Safety 5. Chapter 4: How to Make Buildings Smarter with Smart Location 6. Chapter 5: Tenant Services and Smart Building Amenities 7. Part 2: Smart Building Architecture
8. Chapter 6: The Smart Building Ecosystem 9. Chapter 7: Smart Building Architecture and Use Cases 10. Chapter 8: Digital Twins – a Virtual Representation 11. Part 3: Building Your Smart Building Stack
12. Chapter 9: Smart Building IoT Stacks and Requirements 13. Chapter 10: Understanding Your Building’s Existing Smart Level and Systems 14. Chapter 11: Technology and Applications 15. Part 4: Building Sustainability for Contribution to Smart Cities
16. Chapter 12: A Roadmap to Your Smart Building Will Require Partners 17. Chapter 13: The Importance of Smart Buildings for Sustainability and the Environment 18. Chapter 14: Smart Buildings Lead to Smart Cities 19. Chapter 15: Smart Buildings on the Bleeding Edge 20. Index 21. Other Books You May Enjoy

Monetization opportunities

While cost optimization is a primary driver for the use of digital twins, value-added services and operational efficiencies are key to monetization. Let’s take a more detailed look at some digital twin use examples in the building operations and management area:

  • Monitoring: Dynamic or intelligent condition monitoring is not new; however, the existing solutions are inefficient, produce inaccurate data, and do not deliver data fast enough for a quick response during fast-changing events. That’s because these systems typically use historical and static data that lags behind the current data and does not represent the current state.

Digital twin models work with data that is being collected in real time from sensors, detectors, fixtures, and other systems located in a building. Because the digital twin is constantly fed real-time information, it can mirror exact conditions on site and respond with immediate actions, such as when a...

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