Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Analysis of Factors Influencing the Adoption of Artificial Intelligence for Crime Management Read chapter Read first chapter

2020 | OriginalPaper | Chapter

IoT Based Climate Control Systems Diffusion in Intelligent Buildings - A System Dynamics Model

Authors : Arunvel Thangamani, L. S. Ganesh, Anand Tanikella, A. Meher Prasad

Published in: Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The urbanization trend and the prevailing energy crisis in India, makes it important to study the potential of IoT technology in the Indian buildings market. This research work proposes a systems dynamics model of IoT based climate control systems diffusion in Intelligent Buildings. The modeling process leverages the generic Bass model of technology diffusion and augments it with causal loops based on the enablers and barriers to IoT diffusion in buildings identified through literature review. The model encompasses the technological, social, financial, business, regulatory and environmental aspects of the system, and uses stock-flow concepts to represent their dynamic interplay. The model will be useful to value chain players in the construction sector by providing them support for strategic decision-making concerning market entry and new product development. It will also help policy makers to assess industry readiness to tackle the prevailing energy crisis and devise strategies to mitigate it.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter A Data Driven Approach for Customer Relationship Management for Airlines with Internet of Things & Artificial Intelligence
next chapter Occupant Adoption of IoT Based Environment Service in Office Spaces: An Empirical Investigation
Literature
1.
Pérez-Lombard, L., Ortiz, J., Pout, C.: A review on buildings energy consumption information. Energy Build. 40(3), 394–398 (2008)CrossRef
2.
Cabeza, L.F., Rincón, L., Vilariño, V., Pérez, G., Castell, A.: Life cycle assessment (LCA) and life cycle energy analysis (LCEA) of buildings and the building sector: a review. Renew. Sustain. Energy Rev. 29, 394–416 (2014)CrossRef
3.
Brambley, M.R., et al.: Advanced Sensors and Controls for Building Applications: Market Assessment and Potential R&D Pathways, United States (2005)
4.
5.
Kumar, A., Hancke, G.P.: An energy-efficient smart comfort sensing system based on the IEEE 1451 standard for green buildings. IEEE Sens. J. 14(12), 4245–4252 (2014)CrossRef
6.
Ahuja, V., Yang, J., Shankar, R.: Study of ICT adoption for building project management in the Indian construction industry. Auto. Constr. 18(4), 415–423 (2009)CrossRef
7.
Riggins, F.J., Wamba, S.F.: Research directions on the adoption, usage, and impact of the internet of things through the use of big data analytics. In: 48th Hawaii International Conference on System Sciences, pp. 1531–1540. IEEE (2015)
8.
9.
Sterman, J.: Business Dynamics, System Thinking and Modeling for a Complex World. Irwin/McGraw-Hill, New York (2000)
10.
Forrester, J.W.: System dynamics, systems thinking, and soft OR. Syst. Dyn. Rev. 10(2–3), 245–256 (1994)CrossRef
11.
Fisher, D.K., Norvell, J., Sonka, S., Nelson, M.J.: Understanding technology adoption through system dynamics modeling: implications for agribusiness management. Int. Food Agribusiness Manage. Rev. 3(3), 281–296 (2000)CrossRef
12.
AlWaer, H., Clements-Croome, D.J.: Key performance indicators (KPIs) and priority settings in using the mutli-attribute approach for assessing sustainable intelligent buildings. Build. Environ. 45(4), 799–807 (2010)CrossRef
13.
Clements-Croome, T.D.J.: What do we mean by intelligent buildings? Autom. Constr. 6, 395–399 (1997)CrossRef
14.
Ghaffarianhoseini, A., Berardi, U., AlWaer, H., Chang, S., Halawa, E., Ghaffarianhoseini, A., Clements-Croome, D.: What is an intelligent building? Analysis of recent interpretations from an international perspective. Architectural Sci. Rev. 59(5), 338–357 (2016)CrossRef
15.
Kintner-Meyer, M.: Opportunities of wireless sensors and controls for building operation. Energy Eng. 102(5), 27–48 (2005)CrossRef
16.
Minoli, D., Sohraby, K., Occhiogrosso, B.: IoT considerations, requirements, and architectures for smart buildings—energy optimization and next-generation building management systems. IEEE Internet Things J. 4(1), 269–283 (2017)CrossRef
17.
Bajer, M.: IoT for smart buildings-long awaited revolution or lean evolution. In: IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud), vol. 154, pp. 149–154. IEEE (2018)
18.
De Marco, A., Cagliano, A.C., Nervo, M.L., Rafele, C.: Using system dynamics to assess the impact of RFID technology on retail operations. Int. J. Prod. Econ. 135(1), 333–344 (2012)CrossRef
19.
Qian, Y., Fang, Y., Gonzalez, J.J.: Managing information security risks during new technology adoption. Comput. Secur. 31(8), 859–869 (2012)CrossRef
20.
Mutingi, M.: Understanding the dynamics of the adoption of renewable energy technologies: a system dynamics approach. Dec. Sci. Lett. 2(2), 109–118 (2013)CrossRef
21.
Kelic, A.: Networking technology adoption: system dynamics modeling of fiber-to-the-home. Doctoral dissertation, Massachusetts Institute of Technology (2005)
22.
Jia, M., Komeily, A., Wang, Y., Srinivasan, R.S.: Adopting Internet of Things for the development of smart buildings: a review of enabling technologies and applications. Autom. Constr. 101, 111–126 (2019)CrossRef
23.
Jalali, M.S., Kaiser, J.P., Siegel, M., Madnick, S.: The internet of things promises new benefits and risks: a systematic analysis of adoption dynamics of IoT products. IEEE Secur. Priv. 17(2), 39–48 (2019)CrossRef
24.
Tripathi, S.: System dynamics perspective for adoption of internet of things: a conceptual framework. In: 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1–10. IEEE (2019)
25.
ASHARE Standard, ANSI/ASHRAE Standard 55. Thermal Environmental Conditions for Human Occupancy. American Society of Heating, Refrigerating and Air-Conditioning Engineers. Inc., Atlanta (1992)
26.
Wang, H., Zhai, Z.J.: Advances in building simulation and computational techniques: a review between 1987 and 2014. Energy Build. 128, 319–335 (2016)CrossRef
27.
Schwartz, Y., Raslan, R.: Variations in results of building energy simulation tools, and their impact on BREEAM and LEED ratings: a case study. Energy Build. 62, 350–359 (2013)CrossRef
28.
Brachman, A.: Raport obserwatorium ICT. Internet przedmiotów, Technopark Gliwice (2013)
29.
Lilis, G., Conus, G., Asadi, N., Kayal, M.: Towards the next generation of intelligent building: an assessment study of current automation and future IoT based systems with a proposal for transitional design. Sustain. Cities Soc. 28, 473–481 (2017)CrossRef
30.
Rafiq, N.R., Mohammed, S.F., Pandey, J., Singh, A.V.: Classic from the outside, smart from the inside: The era of smart buildings. In: 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, pp. 580–584 (2017)
31.
Moreno-Cano, María V., Santa, J., Zamora-Izquierdo, M.A., Skarmeta, A.F.: Future Human-Centric Smart Environments. In: Xhafa, F., Barolli, L., Barolli, A., Papajorgji, P. (eds.) Modeling and Processing for Next-Generation Big-Data Technologies. MOST, vol. 4, pp. 341–365. Springer, Cham (2015). https://​doi.​org/​10.​1007/​978-3-319-09177-8_​14CrossRef
32.
Klein, L., Kwak, J., Kavulya, G., Jazizadeh, F., Becerik-Gerber, B., Varakantham, P., Tambe, M.: Coordinating occupant behavior for building energy and comfort management using multi-agent systems. Autom. Constr. 22, 525–536 (2012)CrossRef
33.
Hsinchun, C., Chiang, R.H.L., Storey, V.C.: Business intelligence and analytics: from big data to big impact. MIS Q. 36(4), 1165–1188 (2012)CrossRef
34.
Knutsen, J.: Uprooting products of the networked city. Int. J. Des. 8(1), 127–142 (2014)
35.
Wan, T., Karimi, Y., Stanaćević, M., Salman, E.: Perspective paper–can AC computing be an alternative for wirelessly powered IoT devices? IEEE Embedded Syst. Lett. 9(1), 13–16 (2017)CrossRef
36.
Ramesh, T., Prakash, R., Shukla, K.K.: Life cycle energy analysis of buildings: an overview. Energy Build. 42(10), 1592–1600 (2010)CrossRef
37.
Zanella, A., Bui, N., Castellani, A., Vangelista, L., Zorzi, M.: Internet of things for smart cities. IEEE Internet Things J. 1(1), 22–32 (2014)CrossRef
38.
Ma, Z., Badi, A., Jorgensen, B.N.: Market opportunities and barriers for smart buildings. In: 2016 IEEE Green Energy and Systems Conference (IGSEC), pp. 1–6. IEEE (2016)
39.
Hsu, C.W., Yeh, C.C.: Understanding the factors affecting the adoption of the internet of things. Technol. Anal. Strateg. Manage. 29(9), 1089–1102 (2017)CrossRef
Metadata
Title
IoT Based Climate Control Systems Diffusion in Intelligent Buildings - A System Dynamics Model
Authors
Arunvel Thangamani
L. S. Ganesh
Anand Tanikella
A. Meher Prasad
Copyright Year
2020
Book
Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation

Print ISBN: 978-3-030-64848-0

Electronic ISBN: 978-3-030-64849-7

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-64849-7_59

Premium Partner

    Image Credits