Abstract
The current environmental concerns increase the importance of sustainability in the construction industry. In this respect, information and communication technologies were identified to support automation and control systems promoting occupant’s comfort while safeguarding energy efficiency. In this study, a systematic review was performed to identify relevant applications supported by information and communications technologies with impact in the comfort of the occupants of green buildings. Results indicate that the scientific literature presents valuable arguments regarding the importance of information technologies to increase the occupant’s comfort and to minimize energy consumption of the modern green buildings.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Darko, A., Zhang, C., Chan, A.P.: Drivers for green building: a review of empirical studies. Habitat Int. 60, 34–49 (2017)
US Green Building Council: Building Momentum: National Trends and Prospects for High-Performance Green Buildings. US Green Building Council, Washington, DC (2003)
Hossain, M.F.: Solar energy integration into advanced building design for meeting energy demand and environment problem. Int. J. Energy Res. 40(9), 1293–1300 (2016)
Hossain, M.F.: Green science: independent building technology to mitigate energy, environment, and climate change. Renew. Sustain. Energy Rev. 73, 695–705 (2017)
Wang, L., Toppinen, A., Juslin, H.: Use of wood in green building: a study of expert perspectives from the UK. J. Clean. Prod. 65, 350e361 (2014)
Gou, Z., Xie, X.: Evolving green building: triple bottom line or regenerative design? J. Clean. Prod. 153, 600–607 (2017)
Wong, J.K.W., Zhou, J.: Enhancing environmental sustainability over building life cycles through green BIM: a review. Autom. Constr. 57, 156–165 (2015)
Berardi, U.: Sustainable construction: green building design and delivery. Intell. Build. Int. 5(1), 65–66 (2013)
Ahn, Y.H., Pearce, A.R., Wang, Y., Wang, G.: Drivers and barriers of sustainable design and construction: the perception of green building experience. Int. J. Sustain. Build. Technol. Urban Dev. 4(1), 35–45 (2013)
Zhao, X., Zuo, J., Wu, G., Huang, C.: A bibliometric review of green building research 2000–2016. Architect. Sci. Rev. 62(1), 74–88 (2019)
Rawi, M.I.M., Al-Anbuky, A.: Development of intelligent wireless sensor networks for human comfort index measurement. Proc. Comput. Sci. 5, 232–239 (2011)
Lee, S., Chon, Y., Kim, Y., Ha, R., Cha, H.: Occupancy prediction algorithms for thermostat control systems using mobile devices. IEEE Trans. Smart Grid 4(3), 1332–1340 (2013)
Gao, P.X., Keshav, S.: SPOT: a smart personalized office thermal control system. In: Proceedings of the Fourth International Conference on Future Energy Systems, pp. 237–246. ACM (2013)
Li, X., Chen, G., Zhao, B., Liang, X.: A kind of intelligent lighting control system using the EnOcean network. In: 2014 International Conference on Computer, Information and Telecommunication Systems (CITS), pp. 1–5. IEEE (2014)
Soares, N., Bastos, J., Pereira, L.D., Soares, A., Amaral, A.R., Asadi, E., Rodrigues, E., Lamas, F.B., Monteiro, H., Lopes, M.A.R., Gaspar, A.R.: A review on current advances in the energy and environmental performance of buildings towards a more sustainable built environment. Renew. Sustain. Energy Rev. 77, 845–860 (2017)
Bhattacharya, S., Sridevi, S., Pitchiah, R.: Indoor air quality monitoring using wireless sensor network. In: 2012 Sixth International Conference on Sensing Technology (ICST), pp. 422–427. IEEE (2012)
Wang, Z., Wang, L.: Intelligent control of ventilation system for energy-efficient buildings with CO2 predictive model. IEEE Trans. Smart Grid 4(2), 686–693 (2013)
Costa, A.A., Lopes, P.M., Antunes, A., Cabral, I., Grilo, A., Rodrigues, F.M.: 3I buildings: intelligent, interactive and immersive buildings. Proc. Eng. 123, 7–14 (2015)
Zhi, S., Wei, Y., Cao, Z., Hou, C.: Intelligent controlling of indoor air quality based on remote monitoring platform by considering building environment. In: 2017 4th International Conference on Systems and Informatics (ICSAI), pp. 627–631. IEEE (2017)
Lee, H., Wu, C., Aghajan, H.: Vision-based user-centric light control for smart environments. Pervasive Mob. Comput. 7(2), 223–240 (2011)
Cheng, Z., Xia, L., Zhao, Q., Zhao, Y., Wang, F., Song, F.: Integrated control of blind and lights in daily office environment. In: 2013 IEEE International Conference on Automation Science and Engineering (CASE), pp. 587–592. IEEE (2013)
Miki, M., Yoshii, T., Ikegami, H., Azuma, Y., Emi, A., Yoshida, K.: A lighting control system to optimize brightness distribution on working places. In: 2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI), pp. 23–28. IEEE (2013)
Angelopoulos, C.M., Evangelatos, O., Nikoletseas, S., Raptis, T.P., Rolim, J.D., Veroutis, K.: A user-enabled testbed architecture with mobile crowdsensing support for smart, green buildings. In: 2015 IEEE International Conference on Communications (ICC), pp. 573–578. IEEE (2015)
Malavazos, C., Papanikolaou, A., Tsatsakis, K., Hatzoplaki, E.: Combined visual comfort and energy efficiency through true personalization of automated lighting control. In: 2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS), pp. 1–7. IEEE (2015)
Behera, A.R., Devi, J., Mishra, D.S.: A comparative study and implementation of real time home automation system. In: 2015 International Conference on Energy Systems and Applications, pp. 28–33. IEEE (2015)
Yin, X., Keoh, S.L.: Personalized ambience: an integration of learning model and intelligent lighting control. In: 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), pp. 666–671. IEEE (2016)
Basnayake, B.A.D.J.C.K., Amarasinghe, Y.W.R., Attalage, R.A., Jayasekara, A.G.B.P.: Occupancy identification based energy efficient Illuminance controller with improved visual comfort in buildings. In: 2017 Moratuwa Engineering Research Conference (MERCon), pp. 304–309. IEEE (2017)
Rawi, M.I.M., Al-Anbuky, A.: Passive house sensor networks: human centric thermal comfort concept. In: 2009 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 255–260. IEEE (2009)
Chang, S., Kim, C., Suh, D.: PIMA: RFID and USN based personalized indoor microclimate adjuster. In: ICCAS 2010, pp. 859–862. IEEE (2010)
Dong, B., Lam, K.P.: Building energy and comfort management through occupant behaviour pattern detection based on a large-scale environmental sensor network. J. Build. Perform. Simul. 4(4), 359–369 (2011)
Lei, C.U., Man, K.L., Liang, H.N., Lim, E.G., Wan, K.: Building an intelligent laboratory environment via a cyber-physical system. Int. J. Distrib. Sens. Netw. 9(12), 109014 (2013)
Jazizadeh, F., Ghahramani, A., Becerik-Gerber, B., Kichkaylo, T., Orosz, M.: Personalized thermal comfort-driven control in HVAC-operated office buildings. Comput. Civ. Eng. 2013, 218–225 (2013)
Pitt, L., Green, P.R., Lennox, B.: A sensor network for predicting and maintaining occupant comfort. In: 2013 IEEE Workshop on Environmental Energy and Structural Monitoring Systems, pp. 1–6. IEEE (2013)
Pazhoohesh, M., Shahmir, R., Zhang, C.: Investigating thermal comfort and occupants position impacts on building sustainability using CFD and BIM. In: 49th International Conference of the Architectural Science Association, pp. 257–266. The Architectural Science Association and The University of Melbourne (2015)
Rana, R., Kusy, B., Wall, J., Hu, W.: Novel activity classification and occupancy estimation methods for intelligent HVAC (heating, ventilation and air conditioning) systems. Energy 93, 245–255 (2015)
Gupta, S.K., Atkinson, S., O’Boyle, I., Drogo, J., Kar, K., Mishra, S., Wen, J.T.: BEES: Real-time occupant feedback and environmental learning framework for collaborative thermal management in multi-zone, multi-occupant buildings. Energy Build. 125, 142–152 (2016)
Lim, S.J., Puteh, S., Goh, K.C.: Information processing and knowledge discovery framework for sustainable building environment using multiple sensor network. In: 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 1448–1452. IEEE (2016)
Katsigarakis, K.I., Kontes, G.D., Giannakis, G.I., Rovas, D.V.: Sense-think-act framework for intelligent building energy management. Comput.-Aided Civ. Infrastruct. Eng. 31(1), 50–64 (2016)
Manjarres, D., Mera, A., Perea, E., Lejarazu, A., Gil-Lopez, S.: An energy-efficient predictive control for HVAC systems applied to tertiary buildings based on regression techniques. Energy Build. 152, 409–417 (2017)
Marche, C., Nitti, M., Pilloni, V.: Energy efficiency in smart building: a comfort aware approach based on Social Internet of Things. In: 2017 Global Internet of Things Summit (GIoTS), pp. 1–6. IEEE (2017)
Altayeva, A., Omarov, B., Giyenko, A., Im Cho, Y.: Multi-agent based smart grid system development for building energy and comfort management. In: 2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), pp. 58–63. IEEE (2017)
Matsui, K.: Pleasant sleep provision system during warm nights as a function of smart home. In: 2017 International Symposium on Networks, Computers and Communications (ISNCC), pp. 1–6. IEEE (2017)
Yang, R., Wang, L.: Multi-agent based energy and comfort management in a building environment considering behaviors of occupants. In: 2012 IEEE Power and Energy Society General Meeting, pp. 1–7. IEEE (2012)
Anastasi, G., Corucci, F., Marcelloni, F.: An intelligent system for electrical energy management in buildings. In: 2011 11th International Conference on Intelligent Systems Design and Applications, pp. 702–707. IEEE (2011)
Chen, S.Y., Huang, J.T., Wen, S.L., Feng, M.W.: Optimized control of indoor environmental health-example of the fu-an memorial building. Comput.-Aided Des. Appl. 9(5), 733–745 (2012)
Kamienski, C., Borelli, F., Biondi, G., Rosa, W., Pinheiro, I., Zyrianoff, I., Sadok, D., Pramudianto, F.: Context-aware energy efficiency management for smart buildings. In: 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), pp. 699–704. IEEE (2015)
Frešer, M., Gradišek, A., Cvetković, B., Luštrek, M.: An intelligent system to improve THC parameters at the workplace. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, pp. 61–64. ACM (2016)
Lan, L., Tan, Y.K.: Advanced building energy monitoring using wireless sensor integrated EnergyPlus platform for personal climate control. In: 2015 IEEE 11th International Conference on Power Electronics and Drive Systems, pp. 567–574. IEEE (2015)
Zhang, Y., Mai, J., Zhang, M., Wang, F., Zhai, Y.: Adaptation-based indoor environment control in a hot-humid area. Build. Environ. 117, 238–247 (2017)
Farag, W.A.: ClimaCon: an autonomous energy efficient climate control solution for smart buildings. Asian J. Control 19(4), 1375–1391 (2017)
Acknowledgments
The present study was developed in the scope of the Smart Green Homes Project [POCI-01-0247 FEDER-007678], a co-promotion between Bosch Termotecnologia S.A. and the University of Aveiro. It is financed by Portugal 2020, under the Competitiveness and Internationalization Operational Program, and by the European Regional Development Fund.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Martins, A.I., Lima, A.C.O., Bartolomeu, P., Mouzinho, L.F., Ferreira, J., Rocha, N.P. (2020). Enabling Green Building’s Comfort Using Information and Communication Technologies: A Systematic Review of the Literature. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1160. Springer, Cham. https://doi.org/10.1007/978-3-030-45691-7_19
Download citation
DOI: https://doi.org/10.1007/978-3-030-45691-7_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-45690-0
Online ISBN: 978-3-030-45691-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)