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Integration of IoT in building energy infrastructure: A critical review on challenges and solutions

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  • Moudgil, Vipul
  • Hewage, Kasun
  • Hussain, Syed Asad
  • Sadiq, Rehan

Abstract

The Internet of Things (IoT) has unprecedentedly entangled the physical world with cyber technologies and its integration with building infrastructure (BI) is no different. Integration of IoT can impart BI with upscale features like remote operations, automated management and user-centric facilities by developing an interconnected cognitive building (CB) ecosystem. However, this integration has entered an ambiguous phase of realizing mature adoption and practical utilization of IoT in BI for both academic and industrial domains. This ambiguity restricts the IoT and BI stakeholders to comprehend and acknowledge the full operational competency of IoT in BI. Thus, a significant research gap exists that deeply investigates the practical implementation and mature adoption of IoT in BI. The prime objective of this study is to establish a comprehensive review by exploring the state-of-art academic, technological and industrial research to identify major technological and behavioural interventions that successfully enhance the integration of IoT in BI. Besides, this study also highlights significant technical and non-technical challenges that require substantial research efforts for maturing the adoption of IoT in BI. The findings of the study argue that the full operational competency of IoT in BI is not yet realized and a dedicated effort from both IoT and BI stakeholders is required to provide modern BI with a generic IoT framework having cognitive intelligence and context-aware computing capabilities. The proposed study will assist the researchers in realizing the full operational competency of IoT in BI for more exciting innovations.

Suggested Citation

  • Moudgil, Vipul & Hewage, Kasun & Hussain, Syed Asad & Sadiq, Rehan, 2023. "Integration of IoT in building energy infrastructure: A critical review on challenges and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 174(C).
    • Handle: RePEc:eee:rensus:v:174:y:2023:i:c:s1364032122010024
    DOI: 10.1016/j.rser.2022.113121
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    as
    1. Sheraz Aslam & Zafar Iqbal & Nadeem Javaid & Zahoor Ali Khan & Khursheed Aurangzeb & Syed Irtaza Haider, 2017. "Towards Efficient Energy Management of Smart Buildings Exploiting Heuristic Optimization with Real Time and Critical Peak Pricing Schemes," Energies, MDPI, vol. 10(12), pages 1-25, December.
    2. Farinaz Behrooz & Norman Mariun & Mohammad Hamiruce Marhaban & Mohd Amran Mohd Radzi & Abdul Rahman Ramli, 2018. "Review of Control Techniques for HVAC Systems—Nonlinearity Approaches Based on Fuzzy Cognitive Maps," Energies, MDPI, vol. 11(3), pages 1-41, February.
    3. Janda, Kathryn B., 2014. "Building communities and social potential: Between and beyond organizations and individuals in commercial properties," Energy Policy, Elsevier, vol. 67(C), pages 48-55.
    4. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2013. "Zero energy buildings and sustainable development implications – A review," Energy, Elsevier, vol. 54(C), pages 1-10.
    5. Hedman, Åsa & Sepponen, Mari & Virtanen, Mikko, 2014. "Energy efficiency rating of districts, case Finland," Energy Policy, Elsevier, vol. 65(C), pages 408-418.
    6. Babayo, Aliyu Aliyu & Anisi, Mohammad Hossein & Ali, Ihsan, 2017. "A Review on energy management schemes in energy harvesting wireless sensor networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1176-1184.
    7. Mauser, Ingo & Müller, Jan & Allerding, Florian & Schmeck, Hartmut, 2016. "Adaptive building energy management with multiple commodities and flexible evolutionary optimization," Renewable Energy, Elsevier, vol. 87(P2), pages 911-921.
    8. Shaikh, Pervez Hameed & Nor, Nursyarizal Bin Mohd & Nallagownden, Perumal & Elamvazuthi, Irraivan & Ibrahim, Taib, 2014. "A review on optimized control systems for building energy and comfort management of smart sustainable buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 409-429.
    9. Y. Song & S. Wu & Y. Y. Yan, 2015. "Control strategies for indoor environment quality and energy efficiency—a review," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 10(3), pages 305-312.
    10. Fu, Yangyang & O'Neill, Zheng & Yang, Zhiyao & Adetola, Veronica & Wen, Jin & Ren, Lingyu & Wagner, Tim & Zhu, Qi & Wu, Terresa, 2021. "Modeling and evaluation of cyber-attacks on grid-interactive efficient buildings," Applied Energy, Elsevier, vol. 303(C).
    11. Imlak Shaikh, 2022. "Impact of COVID-19 pandemic on the energy markets," Economic Change and Restructuring, Springer, vol. 55(1), pages 433-484, February.
    12. Zhao, Yang & Li, Tingting & Zhang, Xuejun & Zhang, Chaobo, 2019. "Artificial intelligence-based fault detection and diagnosis methods for building energy systems: Advantages, challenges and the future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 85-101.
    13. Roberto Casado-Vara & Zita Vale & Javier Prieto & Juan M. Corchado, 2018. "Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildings," Energies, MDPI, vol. 11(12), pages 1-17, December.
    14. Ruparathna, Rajeev & Hewage, Kasun & Sadiq, Rehan, 2016. "Improving the energy efficiency of the existing building stock: A critical review of commercial and institutional buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1032-1045.
    15. Amasyali, Kadir & El-Gohary, Nora M., 2018. "A review of data-driven building energy consumption prediction studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1192-1205.
    16. Mathews, E. H. & Arndt, D. C. & Piani, C. B. & van Heerden, E., 2000. "Developing cost efficient control strategies to ensure optimal energy use and sufficient indoor comfort," Applied Energy, Elsevier, vol. 66(2), pages 135-159, June.
    17. Alanne, Kari & Cao, Sunliang, 2017. "Zero-energy hydrogen economy (ZEH2E) for buildings and communities including personal mobility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 697-711.
    18. Tronchin, Lamberto & Manfren, Massimiliano & Nastasi, Benedetto, 2018. "Energy efficiency, demand side management and energy storage technologies – A critical analysis of possible paths of integration in the built environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 341-353.
    19. Su, Bing & Wang, Shengwei, 2020. "An agent-based distributed real-time optimal control strategy for building HVAC systems for applications in the context of future IoT-based smart sensor networks," Applied Energy, Elsevier, vol. 274(C).
    20. Deng, S. & Wang, R.Z. & Dai, Y.J., 2014. "How to evaluate performance of net zero energy building – A literature research," Energy, Elsevier, vol. 71(C), pages 1-16.
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