Skip to main content
Top
Published in: Wireless Personal Communications 3/2021

07-03-2021

Systematic Mapping Study on Energy Optimization Solutions in Smart Building Structure: Opportunities and Challenges

Authors: Muhammad Saidu Aliero, Kashif Naseer Qureshi, Muhammad Fermi Pasha, Imran Ghani, Rufai Aliyu Yauri

Published in: Wireless Personal Communications | Issue 3/2021

Log in

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

search-config
loading …

Abstract

Currently building structure sector takes lead in energy consumption across the globe and is expected to increase by 2% every year. Consequently, being a major energy consumer, it's required to make effort for energy conservation as well. However, this energy conservation has to be in line with occupant thermal comfort. Recent advancement in the Internet of Things concepts attempts to transform residential areas into an energy-aware environment with aimed to reduce energy waste and automate home activities. To identify research trends and challenges in this area the study adopted the Kincham approach to performing review analysis. Our study reveals despite the benefit of this innovation, only resident with two or more unit building structure is mostly benefiting from this opportunity. Out of 94 studies considered 67 are proposed solutions. To find the trend of the research we classified the proposed solution into the topic domain (architecture, algorithm, platform, framework, and model) and it shows that trends moving toward proposing an algorithm to optimize energy consumption in the smart building structure. The study also performed an analytical evaluation on a proposed solution to assess their quality attributes and our evaluation reveals none of the studies considered security in their solution. Finally, the study identifies challenges that bottleneck the development and acceptance of this innovation into societies.

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

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!

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!

Literature
1.
go back to reference Part, B. W. E. O. (2016) World energy outlook. Part, B. W. E. O. (2016) World energy outlook.
2.
go back to reference Majeed, S., et al. (2020). Unmanned aerial vehicles optimal airtime estimation for energy aware deployment in IoT-enabled fifth generation cellular networks. EURASIP Journal on Wireless Communications and Networking, 2020(1), 1–14.CrossRef Majeed, S., et al. (2020). Unmanned aerial vehicles optimal airtime estimation for energy aware deployment in IoT-enabled fifth generation cellular networks. EURASIP Journal on Wireless Communications and Networking, 2020(1), 1–14.CrossRef
3.
go back to reference SAULLES, M. D. (2017). Internet of Things statistics. SAULLES, M. D. (2017). Internet of Things statistics.
4.
go back to reference Grid, S. (2016). Is a smart thermostat a worthwhile investment for your home? Grid, S. (2016). Is a smart thermostat a worthwhile investment for your home?
5.
go back to reference Qureshi, K. N. (2020). Solutions and recent challenges related to energy in wireless body area networks with integrated technologies: Applications and perspectives. Baghdad Science Journal, 17(1(Suppl.)), 0378–0378.CrossRef Qureshi, K. N. (2020). Solutions and recent challenges related to energy in wireless body area networks with integrated technologies: Applications and perspectives. Baghdad Science Journal, 17(1(Suppl.)), 0378–0378.CrossRef
6.
go back to reference Qureshi, K. N., et al. (2020). Internet of vehicles: Key technologies, network model, solutions and challenges with future aspects. IEEE Transactions on Intelligent Transportation Systems, 22(3), 1777–1786.CrossRef Qureshi, K. N., et al. (2020). Internet of vehicles: Key technologies, network model, solutions and challenges with future aspects. IEEE Transactions on Intelligent Transportation Systems, 22(3), 1777–1786.CrossRef
7.
go back to reference Kitchenham, B., et al. (2009). Systematic literature reviews in software engineering—A systematic literature review. Information and Software Technology, 51(1), 7–15.CrossRef Kitchenham, B., et al. (2009). Systematic literature reviews in software engineering—A systematic literature review. Information and Software Technology, 51(1), 7–15.CrossRef
8.
go back to reference Revel, G. M., et al. (2015). Cost-effective technologies to control indoor air quality and comfort in energy efficient building retrofitting. Environmental Engineering & Management Journal (EEMJ), 14(7), 1487–1494.MathSciNetCrossRef Revel, G. M., et al. (2015). Cost-effective technologies to control indoor air quality and comfort in energy efficient building retrofitting. Environmental Engineering & Management Journal (EEMJ), 14(7), 1487–1494.MathSciNetCrossRef
9.
go back to reference Shah, J., & Mishra, B. (2016). Customized IoT enabled wireless sensing and monitoring platform for smart buildings. Procedia Technology, 23, 256–263.CrossRef Shah, J., & Mishra, B. (2016). Customized IoT enabled wireless sensing and monitoring platform for smart buildings. Procedia Technology, 23, 256–263.CrossRef
10.
go back to reference Guo, B., et al. (2016). Research on the temperature & humidity monitoring system in the key areas of the hospital based on the Internet of Things. International Journal of Smart Home, 10(7), 205–216.CrossRef Guo, B., et al. (2016). Research on the temperature & humidity monitoring system in the key areas of the hospital based on the Internet of Things. International Journal of Smart Home, 10(7), 205–216.CrossRef
11.
go back to reference Curi, T. M. R. D. C., et al. (2017). Positioning of sensors for control of ventilation systems in broiler houses: A case study. Scientia Agricola, 74(2), 101–109.CrossRef Curi, T. M. R. D. C., et al. (2017). Positioning of sensors for control of ventilation systems in broiler houses: A case study. Scientia Agricola, 74(2), 101–109.CrossRef
12.
go back to reference Hafeez, K., et al. (2017) Inverting HVAC for energy efficient thermal comfort in populous emerging countries. In Proceedings of the 4th ACM international conference on systems for energy-efficient built environments—BuildSys '17 (pp. 1–10). Hafeez, K., et al. (2017) Inverting HVAC for energy efficient thermal comfort in populous emerging countries. In Proceedings of the 4th ACM international conference on systems for energy-efficient built environments—BuildSys '17 (pp. 1–10).
13.
go back to reference Risteska Stojkoska, B., Trivodaliev, K., & Davcev, D. (2017). Internet of Things Framework for Home Care Systems. Wireless Communications and Mobile Computing., 2017, 1–10.CrossRef Risteska Stojkoska, B., Trivodaliev, K., & Davcev, D. (2017). Internet of Things Framework for Home Care Systems. Wireless Communications and Mobile Computing., 2017, 1–10.CrossRef
14.
go back to reference Kontes, G., et al. (2017). Using thermostats for indoor climate control in office buildings: The effect on thermal comfort. Energies, 10(9), 1369.CrossRef Kontes, G., et al. (2017). Using thermostats for indoor climate control in office buildings: The effect on thermal comfort. Energies, 10(9), 1369.CrossRef
15.
go back to reference Tsui, K. M., & Chan, S. C. (2012). Demand response optimization for smart home scheduling under real-time pricing. IEEE Transactions on Smart Grid, 3(4), 1812–1821.CrossRef Tsui, K. M., & Chan, S. C. (2012). Demand response optimization for smart home scheduling under real-time pricing. IEEE Transactions on Smart Grid, 3(4), 1812–1821.CrossRef
16.
go back to reference Pan, J., et al. (2015). An internet of things framework for smart energy in buildings: designs, prototype, and experiments. IEEE Internet of Things Journal, 2(6), 527–537.CrossRef Pan, J., et al. (2015). An internet of things framework for smart energy in buildings: designs, prototype, and experiments. IEEE Internet of Things Journal, 2(6), 527–537.CrossRef
17.
go back to reference Brundu, F. G., et al. (2017). IoT software infrastructure for energy management and simulation in smart cities. IEEE Transactions on Industrial Informatics, 13(2), 832–840.CrossRef Brundu, F. G., et al. (2017). IoT software infrastructure for energy management and simulation in smart cities. IEEE Transactions on Industrial Informatics, 13(2), 832–840.CrossRef
18.
go back to reference Feldmeier, M., & Paradiso, J. A. (2010). Personalized HVAC control system. In 2010 Internet of Things (IOT) (pp. 1–8). Feldmeier, M., & Paradiso, J. A. (2010). Personalized HVAC control system. In 2010 Internet of Things (IOT) (pp. 1–8).
19.
go back to reference Tsai, K.-L., Leu, F.-Y., & You, I. (2016). Residence energy control system based on wireless smart socket and IoT. IEEE Access, 4, 2885–2894.CrossRef Tsai, K.-L., Leu, F.-Y., & You, I. (2016). Residence energy control system based on wireless smart socket and IoT. IEEE Access, 4, 2885–2894.CrossRef
20.
go back to reference Khan, M., Silva, B. N., & Han, K. (2016). Internet of Things based energy aware smart home control system. IEEE Access, 4, 7556–7566.CrossRef Khan, M., Silva, B. N., & Han, K. (2016). Internet of Things based energy aware smart home control system. IEEE Access, 4, 7556–7566.CrossRef
21.
go back to reference Serra, J., et al. (2014). Smart HVAC control in IoT: Energy consumption minimization with user comfort constraints. ScientificWorldJournal, 2014, 161874.CrossRef Serra, J., et al. (2014). Smart HVAC control in IoT: Energy consumption minimization with user comfort constraints. ScientificWorldJournal, 2014, 161874.CrossRef
22.
go back to reference Moreno, M.V., et al. (2014) A holistic IoT-based management platform for smart environments. In 2014 IEEE international conference on communications (ICC). IEEE. Moreno, M.V., et al. (2014) A holistic IoT-based management platform for smart environments. In 2014 IEEE international conference on communications (ICC). IEEE.
23.
go back to reference Asif, S., et al. (2018) Energy management in residential area using genetic and strawberry algorithm. In Advances in network-based information systems (pp. 165–176). Asif, S., et al. (2018) Energy management in residential area using genetic and strawberry algorithm. In Advances in network-based information systems (pp. 165–176).
24.
go back to reference Aswani, A., et al. (2012). Reducing transient and steady state electricity consumption in HVAC using learning-based model-predictive control. Proceedings of the IEEE, 100(1), 240–253.CrossRef Aswani, A., et al. (2012). Reducing transient and steady state electricity consumption in HVAC using learning-based model-predictive control. Proceedings of the IEEE, 100(1), 240–253.CrossRef
25.
go back to reference Bujdei, C., & Moraru, S. A. (2011) Ensuring comfort in office buildings: Designing a KNX monitoring and control system. In 2011 Seventh international conference on intelligent environments (pp. 222–229). Bujdei, C., & Moraru, S. A. (2011) Ensuring comfort in office buildings: Designing a KNX monitoring and control system. In 2011 Seventh international conference on intelligent environments (pp. 222–229).
26.
go back to reference Velusamy, K., et al. (2013). Internet of Things in cloud. Journal of Engineering and Applied Sciences, 8(9), 304–313. Velusamy, K., et al. (2013). Internet of Things in cloud. Journal of Engineering and Applied Sciences, 8(9), 304–313.
27.
go back to reference Salamone, F., et al. (2016). Integration of a do it yourself hardware in a lighting device for the management of thermal comfort and energy use. Energy Procedia, 101, 161–168.CrossRef Salamone, F., et al. (2016). Integration of a do it yourself hardware in a lighting device for the management of thermal comfort and energy use. Energy Procedia, 101, 161–168.CrossRef
28.
go back to reference Han, J., et al. (2014). Smart home energy management system including renewable energy based on ZigBee and PLC. IEEE Transactions on Consumer Electronics, 60(2), 198–202.CrossRef Han, J., et al. (2014). Smart home energy management system including renewable energy based on ZigBee and PLC. IEEE Transactions on Consumer Electronics, 60(2), 198–202.CrossRef
29.
go back to reference Zeiler, W., et al. (2013). Occupants’ behavioural impact on energy consumption: ‘human-in-the-loop’ comfort process control. Architectural Engineering and Design Management, 10(1–2), 108–130. Zeiler, W., et al. (2013). Occupants’ behavioural impact on energy consumption: ‘human-in-the-loop’ comfort process control. Architectural Engineering and Design Management, 10(1–2), 108–130.
30.
go back to reference Barata, F. A., & Silva, R. (2013) Distributed model predictive control for housing with hourly auction of available energy. In Doctoral conference on computing, electrical and industrial systems. Springer. Barata, F. A., & Silva, R. (2013) Distributed model predictive control for housing with hourly auction of available energy. In Doctoral conference on computing, electrical and industrial systems. Springer.
31.
go back to reference Kumar, S. (2014). Ubiquitous smart home system using android application. International Journal of Computer Networks & Communications, 6(1), 33–43.CrossRef Kumar, S. (2014). Ubiquitous smart home system using android application. International Journal of Computer Networks & Communications, 6(1), 33–43.CrossRef
32.
go back to reference Gateau, B., & Rykowski, J. (2015) Personal e-comfort modelling and management based on multi-agent system and Internet of Things network. In 2015 International conference on pervasive and embedded computing and communication systems (PECCS). IEEE. Gateau, B., & Rykowski, J. (2015) Personal e-comfort modelling and management based on multi-agent system and Internet of Things network. In 2015 International conference on pervasive and embedded computing and communication systems (PECCS). IEEE.
33.
go back to reference Bari, F., et al. (2015). The EcoThermo project: Key and innovative aspects. Energy Procedia, 78, 2977–2982.CrossRef Bari, F., et al. (2015). The EcoThermo project: Key and innovative aspects. Energy Procedia, 78, 2977–2982.CrossRef
34.
go back to reference Sehar, F., Pipattanasomporn, M., & Rahman, S. (2017). Integrated automation for optimal demand management in commercial buildings considering occupant comfort. Sustainable Cities and Society, 28, 16–29.CrossRef Sehar, F., Pipattanasomporn, M., & Rahman, S. (2017). Integrated automation for optimal demand management in commercial buildings considering occupant comfort. Sustainable Cities and Society, 28, 16–29.CrossRef
35.
go back to reference Moreno, M. V., et al. (2014). How can we tackle energy efficiency in IoT based smart buildings? Sensors (Basel), 14(6), 9582–9614.CrossRef Moreno, M. V., et al. (2014). How can we tackle energy efficiency in IoT based smart buildings? Sensors (Basel), 14(6), 9582–9614.CrossRef
36.
go back to reference Uribe, O. H., et al. (2015). Smart building: Decision making architecture for thermal energy management. Sensors (Basel), 15(11), 27543–27568.CrossRef Uribe, O. H., et al. (2015). Smart building: Decision making architecture for thermal energy management. Sensors (Basel), 15(11), 27543–27568.CrossRef
37.
go back to reference Salamone, F., et al. (2016). An open source “smart lamp” for the optimization of plant systems and thermal comfort of offices. Sensors (Basel), 16(3), 338.CrossRef Salamone, F., et al. (2016). An open source “smart lamp” for the optimization of plant systems and thermal comfort of offices. Sensors (Basel), 16(3), 338.CrossRef
38.
go back to reference Salamone, F., et al. (2017). A low-cost environmental monitoring system: How to Prevent systematic errors in the design phase through the combined use of additive manufacturing and thermographic techniques. Sensors (Basel), 17(4), 828.CrossRef Salamone, F., et al. (2017). A low-cost environmental monitoring system: How to Prevent systematic errors in the design phase through the combined use of additive manufacturing and thermographic techniques. Sensors (Basel), 17(4), 828.CrossRef
39.
go back to reference Salamone, F., et al. (2017). Design and development of a nearable wireless system to control indoor air quality and indoor lighting quality. Sensors (Basel), 17(5), 1021.CrossRef Salamone, F., et al. (2017). Design and development of a nearable wireless system to control indoor air quality and indoor lighting quality. Sensors (Basel), 17(5), 1021.CrossRef
40.
go back to reference Robles, R. J., & Kim, T.-H. (2010). Applications, systems and methods in smart home technology: A. International Journal of Advanced Science and Technology, 15, 37–48. Robles, R. J., & Kim, T.-H. (2010). Applications, systems and methods in smart home technology: A. International Journal of Advanced Science and Technology, 15, 37–48.
41.
go back to reference Fischer, D., & Madani, H. (2017). On heat pumps in smart grids: A review. Renewable and Sustainable Energy Reviews, 70, 342–357.CrossRef Fischer, D., & Madani, H. (2017). On heat pumps in smart grids: A review. Renewable and Sustainable Energy Reviews, 70, 342–357.CrossRef
42.
go back to reference Darby, S. J. (2017). Smart technology in the home: Time for more clarity. Building Research & Information, 46(1), 140–147.CrossRef Darby, S. J. (2017). Smart technology in the home: Time for more clarity. Building Research & Information, 46(1), 140–147.CrossRef
43.
go back to reference Thomas, A. M., et al. (2013). Smart care spaces: Needs for intelligent at-home care. International Journal of Space-Based and Situated Computing, 3(1), 35–44.CrossRef Thomas, A. M., et al. (2013). Smart care spaces: Needs for intelligent at-home care. International Journal of Space-Based and Situated Computing, 3(1), 35–44.CrossRef
44.
go back to reference Piyare, R., & Lee, S. R. (2013). Smart home-control and monitoring system using smart phone. ICCA, ASTL, 24, 83–86. Piyare, R., & Lee, S. R. (2013). Smart home-control and monitoring system using smart phone. ICCA, ASTL, 24, 83–86.
45.
go back to reference Baig, F., et al. (2013). Smart home energy management system for monitoring and scheduling of home appliances using zigbee. Journal of Basic and Applied Scientific Research, 3(5), 880–891. Baig, F., et al. (2013). Smart home energy management system for monitoring and scheduling of home appliances using zigbee. Journal of Basic and Applied Scientific Research, 3(5), 880–891.
46.
go back to reference Rabbani, A., & Keshav, S. (2016) The SPOT* personal thermal comfort system. In Proceedings of the 3rd ACM international conference on systems for energy-efficient built environments—BuildSys '16 (pp. 75–84). Rabbani, A., & Keshav, S. (2016) The SPOT* personal thermal comfort system. In Proceedings of the 3rd ACM international conference on systems for energy-efficient built environments—BuildSys '16 (pp. 75–84).
47.
go back to reference Zheng, S., et al. (2013). Real-time measurement of wind environment comfort in urban areas by Environmental Internet of Things. International Journal of Sustainable Development & World Ecology, 20(3), 254–260.CrossRef Zheng, S., et al. (2013). Real-time measurement of wind environment comfort in urban areas by Environmental Internet of Things. International Journal of Sustainable Development & World Ecology, 20(3), 254–260.CrossRef
48.
go back to reference Yamauchi, T., Kondo, H., & Nii, K. (2015). Automotive low power technology for IoT society. In 2015 Symposium on VLSI Technology (VLSI Technology). IEEE. Yamauchi, T., Kondo, H., & Nii, K. (2015). Automotive low power technology for IoT society. In 2015 Symposium on VLSI Technology (VLSI Technology). IEEE.
49.
go back to reference Moreno, M. V., Zamora, M. A., & Skarmeta, A. F. (2014). User-centric smart buildings for energy sustainable smart cities. Transactions on Emerging Telecommunications Technologies, 25(1), 41–55.CrossRef Moreno, M. V., Zamora, M. A., & Skarmeta, A. F. (2014). User-centric smart buildings for energy sustainable smart cities. Transactions on Emerging Telecommunications Technologies, 25(1), 41–55.CrossRef
50.
go back to reference Javed, A., et al. (2017). Smart random neural network controller for HVAC using cloud computing technology. IEEE Transactions on Industrial Informatics, 13(1), 351–360.MathSciNetCrossRef Javed, A., et al. (2017). Smart random neural network controller for HVAC using cloud computing technology. IEEE Transactions on Industrial Informatics, 13(1), 351–360.MathSciNetCrossRef
51.
go back to reference Luo, M., et al. (2016). The dynamics of thermal comfort expectations: The problem, challenge and impication. Building and Environment, 95, 322–329.CrossRef Luo, M., et al. (2016). The dynamics of thermal comfort expectations: The problem, challenge and impication. Building and Environment, 95, 322–329.CrossRef
52.
go back to reference Chen, X., Wei, T., & Hu, S. (2013). Uncertainty-aware household appliance scheduling considering dynamic electricity pricing in smart home. IEEE Transactions on Smart Grid, 4(2), 932–941.CrossRef Chen, X., Wei, T., & Hu, S. (2013). Uncertainty-aware household appliance scheduling considering dynamic electricity pricing in smart home. IEEE Transactions on Smart Grid, 4(2), 932–941.CrossRef
53.
go back to reference Kim, Y. -P., Yoo, S., & Yoo, C. DAoT: Dynamic and energy-aware authentication for smart home appliances in Internet of Things. In 2015 IEEE international conference on consumer electronics (ICCE). 2015. IEEE. Kim, Y. -P., Yoo, S., & Yoo, C. DAoT: Dynamic and energy-aware authentication for smart home appliances in Internet of Things. In 2015 IEEE international conference on consumer electronics (ICCE). 2015. IEEE.
54.
go back to reference Drungilas, D., & Bielskis, A. A. (2012). Cloud interconnected affect reward based automation ambient comfort controller. Electronics and Electrical Engineering., 18(10), 49–52. Drungilas, D., & Bielskis, A. A. (2012). Cloud interconnected affect reward based automation ambient comfort controller. Electronics and Electrical Engineering., 18(10), 49–52.
55.
go back to reference Meana-Llorián, D., González García, C., Pelayo G-Bustelo, B. C., Cueva Lovelle, J. M., & Garcia-Fernandez, N. (2017). IoFClime: The fuzzy logic and the Internet of Things to control indoor temperature regarding the outdoor ambient conditions. Future Generation Computer Systems, 76, 275–284.CrossRef Meana-Llorián, D., González García, C., Pelayo G-Bustelo, B. C., Cueva Lovelle, J. M., & Garcia-Fernandez, N. (2017). IoFClime: The fuzzy logic and the Internet of Things to control indoor temperature regarding the outdoor ambient conditions. Future Generation Computer Systems, 76, 275–284.CrossRef
56.
go back to reference Walker, G., Brown, S., & Neven, L. (2016). Thermal comfort in care homes: vulnerability, responsibility and ‘thermal care.’ Building Research & Information, 44(2), 135–146.CrossRef Walker, G., Brown, S., & Neven, L. (2016). Thermal comfort in care homes: vulnerability, responsibility and ‘thermal care.’ Building Research & Information, 44(2), 135–146.CrossRef
57.
go back to reference Chen, S. -Y., et al. (2013) Intelligent home-appliance recognition over IoT cloud network. In Wireless communications and mobile computing conference (IWCMC), 2013 9th International. IEEE. Chen, S. -Y., et al. (2013) Intelligent home-appliance recognition over IoT cloud network. In Wireless communications and mobile computing conference (IWCMC), 2013 9th International. IEEE.
58.
go back to reference Ciabattoni, L., et al. (2016) IoT based indoor personal comfort levels monitoring. In 2016 IEEE international conference on consumer electronics (ICCE). IEEE. Ciabattoni, L., et al. (2016) IoT based indoor personal comfort levels monitoring. In 2016 IEEE international conference on consumer electronics (ICCE). IEEE.
59.
go back to reference Han, J., Choi, C.-S., & Lee, I. (2011). More efficient home energy management system based on ZigBee communication and infrared remote controls. IEEE Transactions on Consumer Electronics, 57(1), 85–89.CrossRef Han, J., Choi, C.-S., & Lee, I. (2011). More efficient home energy management system based on ZigBee communication and infrared remote controls. IEEE Transactions on Consumer Electronics, 57(1), 85–89.CrossRef
60.
go back to reference Rehman, A. U., et al. (2018) Efficient energy management system using firefly and harmony search algorithm. In Advances on broad-band wireless computing, communication and applications (pp. 37–49). Rehman, A. U., et al. (2018) Efficient energy management system using firefly and harmony search algorithm. In Advances on broad-band wireless computing, communication and applications (pp. 37–49).
61.
go back to reference Patti, E., Acquaviva, A., & Macii, E. (2013). Enable sensor networks interoperability in smart public spaces through a service oriented approach. In 2013 5th IEEE international workshop on advances in sensors and interfaces (IWASI). IEEE. Patti, E., Acquaviva, A., & Macii, E. (2013). Enable sensor networks interoperability in smart public spaces through a service oriented approach. In 2013 5th IEEE international workshop on advances in sensors and interfaces (IWASI). IEEE.
62.
go back to reference Talari, S., et al. (2017). A review of smart cities based on the Internet of Things concept. Energies, 10(4), 421.CrossRef Talari, S., et al. (2017). A review of smart cities based on the Internet of Things concept. Energies, 10(4), 421.CrossRef
63.
go back to reference Jahn, M., et al. (2010) The energy aware smart home. In 2010 5th international conference on future information technology (FutureTech). IEEE. Jahn, M., et al. (2010) The energy aware smart home. In 2010 5th international conference on future information technology (FutureTech). IEEE.
64.
go back to reference Pan, J., et al. (2012) A framework for smart location-based automated energy controls in a green building testbed. In Energytech, 2012 IEEE. IEEE. Pan, J., et al. (2012) A framework for smart location-based automated energy controls in a green building testbed. In Energytech, 2012 IEEE. IEEE.
65.
go back to reference Tereshchenko, T., & Nord, N. (2018). Future trends in district heating development. Current Sustainable/Renewable Energy Reports, 5(2), 172–180.CrossRef Tereshchenko, T., & Nord, N. (2018). Future trends in district heating development. Current Sustainable/Renewable Energy Reports, 5(2), 172–180.CrossRef
66.
go back to reference Giuseppina, N., & Salvatore, T. (2015). WSN system design by using an innovative neural network model to perform thermals forecasting in a urban canyon scenario. Giuseppina, N., & Salvatore, T. (2015). WSN system design by using an innovative neural network model to perform thermals forecasting in a urban canyon scenario.
67.
go back to reference Haider, H. T., See, O. H., & Elmenreich, W. (2016). A review of residential demand response of smart grid. Renewable and Sustainable Energy Reviews, 59, 166–178.CrossRef Haider, H. T., See, O. H., & Elmenreich, W. (2016). A review of residential demand response of smart grid. Renewable and Sustainable Energy Reviews, 59, 166–178.CrossRef
68.
go back to reference Hang-yat, L. A., & Wang, D. (2013) Carrying my environment with me. In Proceedings of the 5th ACM workshop on embedded systems for energy-efficient buildings—BuildSys'13 (pp. 1–8). Hang-yat, L. A., & Wang, D. (2013) Carrying my environment with me. In Proceedings of the 5th ACM workshop on embedded systems for energy-efficient buildings—BuildSys'13 (pp. 1–8).
69.
go back to reference Harfield, A., & Rattanongphisat, W. (2017). Towards an open monitoring platform for improving energy efficiency and thermal comfort in public buildings. In 2017 9th international conference on knowledge and smart technology (KST). IEEE. Harfield, A., & Rattanongphisat, W. (2017). Towards an open monitoring platform for improving energy efficiency and thermal comfort in public buildings. In 2017 9th international conference on knowledge and smart technology (KST). IEEE.
70.
go back to reference Hargreaves, T., et al. (2015) Smart homes, control and energy management: How do smart home technologies influence control over energy use and domestic life? Hargreaves, T., et al. (2015) Smart homes, control and energy management: How do smart home technologies influence control over energy use and domestic life?
71.
go back to reference Manic, M., et al. (2016). Intelligent buildings of the future: Cyberaware, deep learning powered, and human interacting. IEEE Industrial Electronics Magazine, 10(4), 32–49.CrossRef Manic, M., et al. (2016). Intelligent buildings of the future: Cyberaware, deep learning powered, and human interacting. IEEE Industrial Electronics Magazine, 10(4), 32–49.CrossRef
72.
go back to reference Altayeva, A. B., Omarov, B. S., & Cho, Y. I. (2016). Intelligent microclimate control system based on IoT. The International Journal of Fuzzy Logic and Intelligent Systems, 16(4), 254–261.CrossRef Altayeva, A. B., Omarov, B. S., & Cho, Y. I. (2016). Intelligent microclimate control system based on IoT. The International Journal of Fuzzy Logic and Intelligent Systems, 16(4), 254–261.CrossRef
73.
go back to reference Lockton, D., et al. (2013). People and energy: A design‐led approach to understanding everyday energy use behaviour. In Ethnographic praxis in industry conference proceedings. Wiley Online Library. Lockton, D., et al. (2013). People and energy: A design‐led approach to understanding everyday energy use behaviour. In Ethnographic praxis in industry conference proceedings. Wiley Online Library.
74.
go back to reference Mansur, V., Carreira, P., & Arsenio, A. (2014). A learning approach for energy efficiency optimization by occupancy detection. In Internet of Things. User-Centric IoT (pp. 9–15). Springer. Mansur, V., Carreira, P., & Arsenio, A. (2014). A learning approach for energy efficiency optimization by occupancy detection. In Internet of Things. User-Centric IoT (pp. 9–15). Springer.
75.
go back to reference Langevin, J., Wen, J., & Gurian, P. L. (2013). Modeling thermal comfort holistically: Bayesian estimation of thermal sensation, acceptability, and preference distributions for office building occupants. Building and Environment, 69, 206–226.CrossRef Langevin, J., Wen, J., & Gurian, P. L. (2013). Modeling thermal comfort holistically: Bayesian estimation of thermal sensation, acceptability, and preference distributions for office building occupants. Building and Environment, 69, 206–226.CrossRef
76.
go back to reference Meinke, A., et al. (2016). Comfort-related feedforward information: occupants’ choice of cooling strategy and perceived comfort. Building Research & Information, 45(1–2), 222–238. Meinke, A., et al. (2016). Comfort-related feedforward information: occupants’ choice of cooling strategy and perceived comfort. Building Research & Information, 45(1–2), 222–238.
77.
go back to reference Moreno, M. V., Ramos, J. L. H., & Skarmeta, A. F. (2014). User role in IoT-based systems. In 2014 IEEE world forum on Internet of Things (WF-IoT). IEEE. Moreno, M. V., Ramos, J. L. H., & Skarmeta, A. F. (2014). User role in IoT-based systems. In 2014 IEEE world forum on Internet of Things (WF-IoT). IEEE.
78.
go back to reference Kathiravelu, P., Sharifi, L., & Veiga, L. (2015). Cassowary. In Proceedings of the 2nd workshop on middleware for context-aware applications in the IoT—M4IoT 2015 (pp. 1–6). Kathiravelu, P., Sharifi, L., & Veiga, L. (2015). Cassowary. In Proceedings of the 2nd workshop on middleware for context-aware applications in the IoT—M4IoT 2015 (pp. 1–6).
79.
go back to reference Alan, A. T., et al. (2016). It is too hot. In Proceedings of the 2016 CHI conference on human factors in computing systems—CHI '16 (pp. 5262–5273). Alan, A. T., et al. (2016). It is too hot. In Proceedings of the 2016 CHI conference on human factors in computing systems—CHI '16 (pp. 5262–5273).
80.
go back to reference Zhu, N., et al. (2015). Bridging e-health and the Internet of Things: The SPHERE project. IEEE Intelligent Systems, 30(4), 39–46.CrossRef Zhu, N., et al. (2015). Bridging e-health and the Internet of Things: The SPHERE project. IEEE Intelligent Systems, 30(4), 39–46.CrossRef
81.
go back to reference Tila, F., & Kim, D. H. (2015) Semantic IoT system for indoor environment control—A Sparql and SQL based hybrid model (pp. 678–683). Tila, F., & Kim, D. H. (2015) Semantic IoT system for indoor environment control—A Sparql and SQL based hybrid model (pp. 678–683).
82.
go back to reference Pritoni, M., et al. (2017). Occupant thermal feedback for improved efficiency in university buildings. Energy and Buildings, 144, 241–250.CrossRef Pritoni, M., et al. (2017). Occupant thermal feedback for improved efficiency in university buildings. Energy and Buildings, 144, 241–250.CrossRef
83.
go back to reference Huang, C. -C., Yang, R., & Newman, M. W. (2015) The potential and challenges of inferring thermal comfort at home using commodity sensors. In Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing—UbiComp '15 (pp. 1089–1100). Huang, C. -C., Yang, R., & Newman, M. W. (2015) The potential and challenges of inferring thermal comfort at home using commodity sensors. In Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing—UbiComp '15 (pp. 1089–1100).
84.
go back to reference Brager, G., Zhang, H., & Arens, E. (2015). Evolving opportunities for providing thermal comfort. Building Research & Information, 43(3), 274–287.CrossRef Brager, G., Zhang, H., & Arens, E. (2015). Evolving opportunities for providing thermal comfort. Building Research & Information, 43(3), 274–287.CrossRef
85.
go back to reference Peffer, T., et al. (2016). Writing controls sequences for buildings: from HVAC industry enclave to hacker’s weekend project. Peffer, T., et al. (2016). Writing controls sequences for buildings: from HVAC industry enclave to hacker’s weekend project.
86.
go back to reference Rostampour, V., & Keviczky, T. (2018). Probabilistic energy management for building climate comfort in smart thermal grids with seasonal storage systems. IEEE Transactions on Smart Grid, 94(2015), 109–120. Rostampour, V., & Keviczky, T. (2018). Probabilistic energy management for building climate comfort in smart thermal grids with seasonal storage systems. IEEE Transactions on Smart Grid, 94(2015), 109–120.
87.
go back to reference Royapoor, M., & Roskilly, T. (2015). Building model calibration using energy and environmental data. Energy and Buildings, 94, 109–120.CrossRef Royapoor, M., & Roskilly, T. (2015). Building model calibration using energy and environmental data. Energy and Buildings, 94, 109–120.CrossRef
88.
go back to reference Michailidis, I. T., et al. (2018). Energy-efficient HVAC management using cooperative, self-trained, control agents: A real-life German building case study. Applied Energy, 211, 113–125.CrossRef Michailidis, I. T., et al. (2018). Energy-efficient HVAC management using cooperative, self-trained, control agents: A real-life German building case study. Applied Energy, 211, 113–125.CrossRef
89.
go back to reference Wei, F., et al. (2018). A novel thermal energy storage system in smart building based on phase change material. IEEE Transactions on Smart Grid, 10, 1–1. Wei, F., et al. (2018). A novel thermal energy storage system in smart building based on phase change material. IEEE Transactions on Smart Grid, 10, 1–1.
90.
go back to reference Jia, Q. -S., Zhang, Y., & Zhao, Q. (2018) Controlling the Internet of Things—From energy saving to fast evacuation in smart buildings. In Intelligent Building Control Systems (pp. 293–310). Jia, Q. -S., Zhang, Y., & Zhao, Q. (2018) Controlling the Internet of Things—From energy saving to fast evacuation in smart buildings. In Intelligent Building Control Systems (pp. 293–310).
91.
go back to reference Park, H., & Rhee, S.-B. (2018). IoT-based smart building environment service for occupants’ thermal comfort. Journal of Sensors, 2018, 1–10. Park, H., & Rhee, S.-B. (2018). IoT-based smart building environment service for occupants’ thermal comfort. Journal of Sensors, 2018, 1–10.
92.
go back to reference AlFaris, F., Juaidi, A., & Manzano-Agugliaro, F. (2017). Intelligent homes’ technologies to optimize the energy performance for the net zero energy home. Energy and Buildings, 153, 262–274.CrossRef AlFaris, F., Juaidi, A., & Manzano-Agugliaro, F. (2017). Intelligent homes’ technologies to optimize the energy performance for the net zero energy home. Energy and Buildings, 153, 262–274.CrossRef
93.
go back to reference Singh, A., et al. (2017). Ventilation monitoring and control system for high rise historical buildings. IEEE Sensors Journal, 17(22), 7533–7541.CrossRef Singh, A., et al. (2017). Ventilation monitoring and control system for high rise historical buildings. IEEE Sensors Journal, 17(22), 7533–7541.CrossRef
94.
go back to reference Matsui, K. (2018). An information provision system to promote energy conservation and maintain indoor comfort in smart homes using sensed data by IoT sensors. Future Generation Computer Systems, 82, 388–394.CrossRef Matsui, K. (2018). An information provision system to promote energy conservation and maintain indoor comfort in smart homes using sensed data by IoT sensors. Future Generation Computer Systems, 82, 388–394.CrossRef
95.
go back to reference Ejaz, W., et al. (2017). Efficient energy management for the Internet of Things in smart cities. IEEE Communications Magazine, 55(1), 84–91.CrossRef Ejaz, W., et al. (2017). Efficient energy management for the Internet of Things in smart cities. IEEE Communications Magazine, 55(1), 84–91.CrossRef
96.
go back to reference Shakeri, M., et al. (2017). An intelligent system architecture in home energy management systems (HEMS) for efficient demand response in smart grid. Energy and Buildings, 138, 154–164.CrossRef Shakeri, M., et al. (2017). An intelligent system architecture in home energy management systems (HEMS) for efficient demand response in smart grid. Energy and Buildings, 138, 154–164.CrossRef
97.
go back to reference Lu, X., et al. (2017). Optimal scheduling of household appliances for smart home energy management considering demand response. Natural Hazards, 88(3), 1639–1653.CrossRef Lu, X., et al. (2017). Optimal scheduling of household appliances for smart home energy management considering demand response. Natural Hazards, 88(3), 1639–1653.CrossRef
98.
go back to reference Meana-Llorián, D., et al. (2017). IoFClime: The fuzzy logic and the Internet of Things to control indoor temperature regarding the outdoor ambient conditions. Future Generation Computer Systems., 76, 275–284.CrossRef Meana-Llorián, D., et al. (2017). IoFClime: The fuzzy logic and the Internet of Things to control indoor temperature regarding the outdoor ambient conditions. Future Generation Computer Systems., 76, 275–284.CrossRef
99.
go back to reference Grindvoll, H., et al. (2012). A wireless sensor network for intelligent building energy management based on multi communication standards-A case study. Journal of Information Technology in Construction, 17, 43–61. Grindvoll, H., et al. (2012). A wireless sensor network for intelligent building energy management based on multi communication standards-A case study. Journal of Information Technology in Construction, 17, 43–61.
100.
go back to reference Revel, G. M., & Arnesano, M. (2014). Measuring overall thermal comfort to balance energy use in sports facilities. Measurement, 55, 382–393.CrossRef Revel, G. M., & Arnesano, M. (2014). Measuring overall thermal comfort to balance energy use in sports facilities. Measurement, 55, 382–393.CrossRef
101.
go back to reference Revel, G. M., & Arnesano, M. (2014). Perception of the thermal environment in sports facilities through subjective approach. Building and Environment, 77, 12–19.CrossRef Revel, G. M., & Arnesano, M. (2014). Perception of the thermal environment in sports facilities through subjective approach. Building and Environment, 77, 12–19.CrossRef
102.
go back to reference Revel, G. M., Sabbatini, E., & Arnesano, M. (2012). Development and experimental evaluation of a thermography measurement system for real-time monitoring of comfort and heat rate exchange in the built environment. Measurement Science and Technology, 23(3). Revel, G. M., Sabbatini, E., & Arnesano, M. (2012). Development and experimental evaluation of a thermography measurement system for real-time monitoring of comfort and heat rate exchange in the built environment. Measurement Science and Technology, 23(3).
103.
go back to reference Sikora, B. A. (2017). Joint comments of baltimore gas and electric company, potomac electric power company, and delmarva power & light company on the August 23, 2017 rate design workgroup report. Sikora, B. A. (2017). Joint comments of baltimore gas and electric company, potomac electric power company, and delmarva power & light company on the August 23, 2017 rate design workgroup report.
104.
go back to reference Qureshi, K. N., et al. (2020) 5 A novel framework for cyber secure smart city. Security and Organization within IoT and Smart Cities (p. 75). Qureshi, K. N., et al. (2020) 5 A novel framework for cyber secure smart city. Security and Organization within IoT and Smart Cities (p. 75).
105.
go back to reference Qureshi, K. N., & Iftikhar, A. (2020) 6 Contemplating security. Security and Organization within IoT and Smart Cities (p. 93). Qureshi, K. N., & Iftikhar, A. (2020) 6 Contemplating security. Security and Organization within IoT and Smart Cities (p. 93).
106.
go back to reference Qureshi, K. N., et al. (2020). Trust management and evaluation for edge intelligence in the Internet of Things. Engineering Applications of Artificial Intelligence, 94, 103756.CrossRef Qureshi, K. N., et al. (2020). Trust management and evaluation for edge intelligence in the Internet of Things. Engineering Applications of Artificial Intelligence, 94, 103756.CrossRef
Metadata
Title
Systematic Mapping Study on Energy Optimization Solutions in Smart Building Structure: Opportunities and Challenges
Authors
Muhammad Saidu Aliero
Kashif Naseer Qureshi
Muhammad Fermi Pasha
Imran Ghani
Rufai Aliyu Yauri
Publication date
07-03-2021
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 3/2021
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-021-08316-3

Other articles of this Issue 3/2021

Wireless Personal Communications 3/2021 Go to the issue