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Standards and Technologies from Building Sector, IoT, and Open-Source Trends

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Towards Energy Smart Homes

Abstract

Home Automation (HA) has a long history becoming Smart Home (SH) or Smart Building (SB) when human-to-machine and machine-to-machine communications are able to turn each Things into a global system that is able to interact and make decisions. Based on European directives, energy-efficient technologies are one of the main levers of its development. Energy monitoring, and especially Measure and Verification (M&V), allows Energy Performance Contract (EPC) to help guarantying building performances from design to reality, while real-time feedback to occupants helps them to understand and better use their systems. Many metrics are available at building level in order to compare building performances, summarized here according to the International Energy Agency (IEA). SB is also open to outside, since it is integrated now into smart-district and smart-city, widening the interactions with other intelligent Things, referred for instance by Smart Readiness Indicator (SRI).

ISO 52000 series aims to reorganize all the standards relating to the energy performance of buildings. Building Management System (BMS) aims at providing smart functionalities categorized in monitoring, supervision, and efficiency continuous improvement. There are dedicated energy management algorithms, especially for HVAC (Heating Ventilation and Air Conditioning) systems, that are more and more often related to occupant’s behavior. These algorithms are going to be adaptive, including predictive automation, control, and maintenance.

A technical description of BMS is given, decomposed using three levels: management (including user interactive interface), automation (processing sensory data and performing energy-saving strategies), and field (sensors and actuators infrastructure). Levels are able to communicate with lots of available protocols that we are detailing, depending their openness, centralization, and versatility. Then we focus on Home Automation (HA), and highlight a shift coming from Information Technology (IT) players, that brings innovations with end-users services, leading to the concept of Smart Home (SH).

Standards from the world of SB, necessary to structure and optimize an industrial organization, have given way to HA agile solutions exploiting plug-and-play and cloud infrastructure. Internet of things (IoT) technology is then detailed, including architecture, interoperability, security, privacy, context-aware capacity. Typical IoT for home energy monitoring are illustrated with a specific focus on wireless technologies and many references of hardware and protocols are given.

Complementary to commercial solutions, last part is about open source (OS) for HA, including a review of OS software, low-cost hardware, and brief history of OS projects. A review of some SH projects is then concluding this chapter showing OS alternatives to single solution providers, to offer ever more accessible services to citizens.

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Notes

  1. 1.

    https://smartreadinessindicator.eu

  2. 2.

    https://www.smartbuildingsalliance.org/

  3. 3.

    https://dribbble.com/shots/4612989-Smart-home-dashboard-concept

  4. 4.

    https://www.big-eu.org/en/news/news-press-releases/news/mike-newman-the-father-of-bacnet-has-passed-away

  5. 5.

    https://en.wikipedia.org/wiki/SCADA

  6. 6.

    https://www.statista.com/

  7. 7.

    https://yourthings.info

  8. 8.

    https://dev.netatmo.com/

  9. 9.

    Hui Fu, The IoT Smarthome Battlefield: A Jointly Endorsed IoT Standard for the Home Area Network (HAN), IoT for all, February 12, 2020. Ref: https://www.iotforall.com/connected-home-over-ip/

  10. 10.

    www.enerbee.fr

  11. 11.

    https://ubidots.com/blog/open-source-home-automation/

  12. 12.

    https://www.computerhistory.org/revolution/personal-computers/17/312

  13. 13.

    https://www.oshwa.org/definition/

  14. 14.

    https://mikemcquaid.com/2018/08/14/the-open-source-contributor-funnel-why-people-dont-contribute-to-your-open-source-project/

  15. 15.

    https://opensourcesurvey.org/2017/

  16. 16.

    https://choosealicense.com/

  17. 17.

    https://creativecommons.org/

  18. 18.

    https://www.seeedstudio.com/smartcitizen

  19. 19.

    https://smartcitizen.me/kits/1352

  20. 20.

    https://openenergymonitor.org/

  21. 21.

    https://amiqual4home.inria.fr/tools/smart-home/

  22. 22.

    https://data.mendeley.com/datasets/fcj2hmz5kb

References

  1. L. Biljana, R. Stojkoska, K.V. Trivodaliev, A review of Internet of Things for smart home: challenges and solutions. J. Clean. Prod. 140(Part 3), 1454–1464 (2017)

    Google Scholar 

  2. J.J. Greichen, Value based home automation or today's market. IEEE Trans. Consum. Electron. 38(3), 34–38 (1992)

    Article  Google Scholar 

  3. A.J. Bernheim Brush, B. Lee, R. Mahajan, S. Agarwal, S. Saroiu, C. Dixon, Home automation in the Wild: Challenges and Opportunities, in CHI’11 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (2011), pp. 2115–2124

    Google Scholar 

  4. M. Wigginton, J. Harris, Intelligent Skins (Routledge, London, 2002). https://doi.org/10.4324/9780080495446

    Book  Google Scholar 

  5. A. Ghaffarianhoseini, U. Berardi, H. Alwaer, S. Chang, E. Halawa, A. Ghaffarianhoseini, D. Clements-Croome, What is an intelligent building? Analysis of recent interpretations from an international perspective. Archit. Sci. Rev. 59, 338–357 (2015). https://doi.org/10.1080/00038628.2015.1079164

    Article  Google Scholar 

  6. C. Wilson, T. Hargreaves, R. Hauxwell-Baldwin, Smart homes and their users: a systematic analysis and key challenges. Personal Ubiquitous Comput. 19(2), 463–476 (2015). https://doi.org/10.1007/s00779-014-0813-0

    Article  Google Scholar 

  7. H. Obara, Schneider Electric – “Standardization in EE in buildings, in Sustainable Places 2015 Conference, Savona, Italy, 16–18 September 2015

    Google Scholar 

  8. D.S. Leitner, N.C. Sotsek, A. de Paula Lacerda Santos, Postoccupancy evaluation in buildings: systematic literature review. J. Perform. Constr. Facil. 34(1) (2020)

    Google Scholar 

  9. G.M. Di Giuda, L. Pellegrini, M. Schievano, M. Locatelli, F. Paleari, BIM and post-occupancy evaluations for building management system: weaknesses and opportunities, in Digital Transformation of the Design, Construction and Management Processes of the Built Environment, ed. by B. Daniotti, M. Gianinetto, T. S. Della, (Research for Development. Springer, Cham, 2020)

    Google Scholar 

  10. W. Jiang, X. Zhao, Trust and the intent to cooperate in energy performance contracting for public buildings in China. Eng. Constr. Archit. Manag. 28, 372–396 (2019). https://doi.org/10.1108/ECAM-07-2019-0385e

    Article  Google Scholar 

  11. A.G. Aoun, Blockchain application in energy performance contracting. Int. J. Strat. Energy Environ. Plann. 2(2) (2020)

    Google Scholar 

  12. K. Ehrhardt-Martinez, K.A. Donnelly, J. Laitne, Advanced Metering Initiatives and Residential Feedback Programs: A Meta-Review for Household Electricity-Saving Opportunities (American Council for an Energy-Efficient Economy, Washington, DC, 2010)

    Google Scholar 

  13. T. Märzinger, D. Österreicher, Supporting the smart readiness indicator—a methodology to integrate a quantitative assessment of the load shifting potential of smart buildings. Energies 12, 1955 (2019)

    Article  Google Scholar 

  14. N. Wang, Transactive control for connected homes and neighbourhoods. Nat. Energy 3, 907–909 (2018). https://doi.org/10.1038/s41560-018-0257-2

    Article  Google Scholar 

  15. H.-S. Jin, B.-H. Choi, J.-K. Kang, S.-I. Kim, J.-H. Lim, S.-Y. Song, Measurement and Normalization Methods to Provide Detailed Information on Energy Consumption by Usage in Apartment Buildings. Energy Procedia 96, 881–894 (2016). https://doi.org/10.1016/j.egypro.2016.09.161

    Article  Google Scholar 

  16. J. Salom, A.J. Marszal, J. Widén, J. Candanedo, K.B. Lindberg, Analysis of load match and grid interaction indicators in net zero energy buildings with simulated and monitored data. Appl. Energy 136, 119–131 (2014). https://doi.org/10.1016/j.apenergy.2014.09.018

    Article  Google Scholar 

  17. IEA, Building Energy Performance Metrics (IEA, Paris, 2015)., https://www.buildingrating.org/sites/default/files/1448011796IEA_IPEEC_BEET4_Final_Report.pdf

    Google Scholar 

  18. D. Van Orshoven, D. van Dijk, EPB standard EN ISO 52003: How to put the EPB assessment outputs to intelligent use, REHVA J. (2016)

    Google Scholar 

  19. S. Verbeke, Y. Ma, P. Van Tichelen, S. Bogaert, V. Gómez Oñate, P. Waide, K. Bettgenhäuser, J. Ashok, A. Hermelink, M. Offermann, et al., Support for Setting Up a Smart Readiness Indicator for Buildings and Related Impact Assessment, Final Report; Study Accomplished under the Authority of the European Commission DG Energy 2017/SEB/R/1610684 (VITO NV, Mol, Belgium, 2018)., https://smartreadinessindicator.eu

    Google Scholar 

  20. J. Hogeling, The set of EN and EN ISO EPB standards: supporting the implementation of the EPB Directive in Europe, in EBC-Annex 71 Symposium The Building as Cornerstone of our Future Energy Infrastructure, Bilbao, Spain, 10–11 April 2019. https://dynastee.info/wp-content/uploads/2019/06/6_Hogeling-Presentatie2019-04-Bilbao-EBC-Annex71.pdf

  21. H.A. Gabbar, Building Energy Management Systems (BEMS), Part1, Chapter2 in Energy Conservation in Residential, Commercial, and Industrial Facilities (Wiley, 2018). https://doi.org/10.1002/9781119422099.ch2

    Book  Google Scholar 

  22. Research and Markets, Global Building Management System Market 2016–2023 (2017). https://www.prnewswire.com/news-releases/global-building-management-system-market-2016-2023-300492250.html

  23. M. Manic, D. Wijayasekara, K. Amarasinghe, J.J. Rodriguez-Andina, Building energy management systems: the age of intelligent and adaptive buildings. IEEE Ind. Electron. Mag. 10, 25–39 (2016). https://doi.org/10.1109/MIE.2015.2513749

    Article  Google Scholar 

  24. Elizabeth Gasiorowski-Denis, ISO 52000 leads the way on clean energy building solutions, ISO News, 28 June 2017. https://www.iso.org/news/ref2196.html

  25. GIMELEC, Mener à bien un projet d’efficacité énergétique Bâtiments et collectivités, Guide De Bonnes Pratiques, Efficacité Energétique. https://www.ac-paris.fr/portail/jcms/p1_529163/guide-ee-batiment-avril2008

  26. N. Artiges, A. Nassiopoulos, F. Vial, B. Delinchant, Calibrating models for MPC of energy systems in buildings using an adjoint-based sensitivity method, Energy and Buildings, 109647 (2020). ISSN 0378-7788. https://doi.org/10.1016/j.enbuild.2019.109647

  27. K. Verbert, R. Babuška, B. De Schutter, Combining knowledge and historical data for system-level fault diagnosis of HVAC systems, Engineering Applications of Artificial Intelligence 59, 260–273 (2017). ISSN 0952-1976. https://doi.org/10.1016/j.engappai.2016.12.021

  28. Calvert Controls, Internet of Things – “IoT” – the next evolution in smart building management (2020). http://calvertcontrols.com/index.php/2019/05/21/internet-of-things-iot-the-next-evolution-in-smart-building-management/

  29. A. Totonchi, Internet of Things for Smart Home: State-of-the-Art Literature Review (2018)

    Google Scholar 

  30. O. Nývlt, Buses, Protocols and Systems for Home and Building Automation, Department of Control Engineering Faculty of Electrical Engineering Czech Technical University in Prague. 2009–2011. http://www.tecnolab.ws/pdf/Buses,%20Protocols%20and%20Systems%20for%20Home%20and%20Building%20Automa tion.pdf

  31. Siemens Building Technologies. Communication in building automation, Answers for infrastructure and cities. https://www.downloads.siemens.com/download-center/Download.aspx?pos=download&fct=getasset&id1=A6V10209534

  32. D. Bonino, F. Corno, D. Russis, Luigi, A semantics-rich information technology architecture for smart buildings. Buildings 4, 880–910 (2014). https://doi.org/10.3390/buildings4040880

    Article  Google Scholar 

  33. Gartner, Inc., Market Insight: The Move From the Connected Home to the Intelligent Home, Technical Report G00355564, Jul. 2018. [Online]. https://www.gartner.com/doc/3876868/market-insight-connected-home-intelligent

  34. O. Hamdan, H. Shanableh, I. Zaki, A.R. Al-Ali and T. Shanableh, IoT-based interactive dual mode smart home automation, in 2019 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, 2019, pp. 1–2, https://doi.org/10.1109/ICCE.2019.8661935

  35. Smart Homes Market Report: Trends, Forecast and Competitive Analysis, Research and Markets, Global Report n°4846240, September 2019. https://www.researchandmarkets.com/reports/4846240/smart-homes-market-report-trends-forecast-and

  36. Z. Yang, J.H. Cho, Application and development trend of smart home in residential interior design Journal of Physics: Conference Series, Volume 1487, in 2020 4th International Conference on Control Engineering and Artificial Intelligence (CCEAI 2020) 17–19 January 2020, Singapore (2020)

    Google Scholar 

  37. B. Qolomany et al., Leveraging machine learning and big data for smart buildings: a comprehensive survey. IEEE Access 7, 90316–90356 (2019)

    Article  Google Scholar 

  38. G. Lobaccaro, S. Carlucci, E. Lfstrm, G. Lobaccaro, S. Carlucci, and E. Lfstrm, “A review of systems and technologies for smart homes and smart grids,” Energies, vol. 9, no. 5, p. 348, 2016. https://www.mdpi.com/1996-1073/9/5/348

  39. ITU-T SSCIoT 2, Unleashing the Potential of the Internet of Things (Implementing ITU-T International Standards to Shape Smart Sustainable Cities, International Telecommunication Union (ITU), 2016). https://www.itu.int/pub/T-TUT-SSCIOT-2016-2/fr

    Google Scholar 

  40. Vision and Challenges for Realizing the Internet of Things, CERP-IoT (Cluster of European Research Projects on the Internet of things), Publication Office of The European Union, March 2010. http://bookshop.europa.eu/en/vision-and-challenges-for-realising-the-internet-of-things-pbKK3110323/

  41. C. Perera et al., Context aware computing for the internet of things: a survey. IEEE Commun. Surveys Tutorials 16(1), 414–454 (2014)

    Article  Google Scholar 

  42. V.M. Tayur, R. Suchithra, Review of interoperability approaches in application layer of internet of things, in International Conference on Innovative Mechanisms for Industry Applications (ICIMIA 2017)

    Google Scholar 

  43. M. Uslar, S. Rohjans, M. Specht, Technical requirements for DER integration architectures. Energy Procedia 20, 281–290 (2012). https://doi.org/10.1016/j.egypro.2012.03.028

    Article  Google Scholar 

  44. A. Sajid, H. Abbas, K. Saleem, Cloud-assisted IoT-based SCADA systems security: a review of the state of the art and future challenges. IEEE Access 4, 1375–1384 (2016). https://doi.org/10.1109/ACCESS.2016.2549047

    Article  Google Scholar 

  45. O. Alrawi, C. Lever, M. Antonakakis, F. Monrose, SoK: security evaluation of home-based IoT deployments, in 2019 IEEE Symposium on Security and Privacy (SP), San Francisco, CA, 2019, pp. 1362–1380. https://doi.org/10.1109/SP.2019.00013

  46. E. Byres, M. Franz, D. Miller, The use of attack trees in assessing vulnerabilities in SCADA systems, in Proc. IEEE Int. Infrastruct. Survivability Workshop (IISW), Lisbon, Portugal, Dec. 2004

    Google Scholar 

  47. B. Fouladi, S. Ghanoun, Security evaluation of the Z-wave wireless protocol", Black Hat USA, vol. 1, pp. 1–6, Aug. 2013 “Black Hat 2013 – Honey, I’m Home!! – Hacking Z-Wave Home Automation Systems.” Online video clip. YouTube. YouTube, 19 Nov 2013. Web 1 Nov. 2016. https://www.youtube.com/watch?v=KYaEQhvodc8

  48. D. Caputo, L. Verderame, A. Ranieri, A. Merlo, L. Caviglione, Fine-hearing Google Home: why silence will not protect your privacy. J. Wireless Mobile Netw. Ubiquit. Comput. Depend. Appl. 11, 35–53 (2020). https://doi.org/10.22667/JOWUA.2020.03.31.035

    Article  Google Scholar 

  49. S. Wachter, Normative challenges of identification in the Internet of Things: Privacy, profiling, discrimination, and the GDPR. Comp. Law Secur. Rev. 34(3), 436–449 (2018). https://doi.org/10.1016/j.clsr.2018.02.002

    Article  MathSciNet  Google Scholar 

  50. B.I. Gartner, Summit Summary: Internet of Things (IoT)—Buttigieg.org (2015)

  51. G.M. Toschi, L.B. Campos, C.E. Cugnasca, Home automation networks: a survey. Comput Stand. Interf. 50, 42–54 (2017). https://doi.org/10.1016/j.csi.2016.08.008

    Article  Google Scholar 

  52. A. Shadi, C. Thomas, P. Stephane, D. Benoit, W. Frederic, M.P. Singh, Power management of laptops batteries in dynamic heterogeneous environments using iPOPO, IBPSA, 20–21 mai 2014, Arras (2014)

    Google Scholar 

  53. B. Delinchant, H.A. Dang, H.T.T Vu, D.Q. Nguyen, Massive arrival of low-cost and low-consuming sensors in buildings: towards new building energy services, in 2019 IOP Conf. Ser.: Earth Environ. Sci., Vol. 307, Conf. 1, 2019. https://doi.org/10.1088/1755-1315/307/1/012006

  54. D. Kushner, The Making of Arduino, in IEEE Spectrum, Oct. 26th, 2011. https://spectrum.ieee.org/geek-life/hands-on/the-making-of-arduino

  55. M. McQuaid, The Open Source Contributor Funnel: Turning Users Into Maintainers, in CodeConf 2016

    Google Scholar 

  56. P. Lago, F. Lang, C. Roncancio, C. Jiménez-Guarín, R. Mateescu, N. Bonnefond, The ContextAct@A4H Real-Life Dataset of Daily-Living Activities, in Modeling and Using Context. CONTEXT 2017. Lecture Notes in Computer Science, ed. by P. Brézillon, R. Turner, C. Penco, vol. 10257, (Springer, Cham, 2017)

    Google Scholar 

  57. S. Katipamula, M.R. Brambley, Methods for fault detection, diagnostics, and prognostics for building systems: a review, part I, HVACR Res. 11(1), 3–25 (2005)

    Google Scholar 

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Delinchant, B., Ferrari, J. (2021). Standards and Technologies from Building Sector, IoT, and Open-Source Trends. In: Ploix, S., Amayri, M., Bouguila, N. (eds) Towards Energy Smart Homes. Springer, Cham. https://doi.org/10.1007/978-3-030-76477-7_3

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