IDAT7219
Smart Building Technology
1. Basic
principles
2. BEM operations
3. Demand
analysis
4. BEM strategies
5. Smart energy
[Powerpoint
file in PDF format]
Videos:
Further
Reading:
References:
- Abdeslam D. O.
(ed.), 2023. Smart Meters: Artificial Intelligence to
Support Proactive Management of Energy Consumption,
Springer, Cham. https://doi.org/10.1007/978-3-031-27556-2
- Benavente-Peces
C., 2019. On the energy efficiency in the next generation of
smart buildings—supporting technologies and techniques, Energies,
12 (22) 4399. https://doi.org/10.3390/en12224399
- Capehart
B. L. & Capehart L. C. (eds.), 2005. Web
Based Energy Information and Control Systems: Case Studies
and Applications, Fairmont Press, GA.
[HKALL]
- Casini M., 2016.
Smart Buildings: Advanced Materials and Nanotechnology to
Improve Energy-Efficiency and Environmental Performance,
Woodhead Publishing, Duxford, UK. https://doi.org/10.1016/C2015-0-00182-4
- Chin J.
& Lin S.-C., 2016. A behavioral model of managerial
perspectives regarding technology acceptance in building
energy management systems, Sustainability, 8 (7) 641.
https://doi.org/10.3390/su8070641
- Dakheel J. A.,
Pero C. D., Aste N. & Leonforte F., 2020. Smart
buildings features and key performance indicators: A review,
Sustainable Cities and Society, 61: 102328. https://doi.org/10.1016/j.scs.2020.102328
- Mariano-Hernández
D., Hernández-Callejo L., Zorita-Lamadrid A., Duque-Pérez O.
& García F. S., 2021. A review of strategies for building
energy management system: Model predictive control, demand
side management, optimization, and fault detect &
diagnosis, Journal of Building Engineering, 33:
101692. https://doi.org/10.1016/j.jobe.2020.101692
- Mounsif M. &
Medard F., 2023. Smart energy management system framework
for population dynamics modelling and suitable energy
trajectories identification in islanded micro-grids, Energy
and AI, 13: 100242. https://doi.org/10.1016/j.egyai.2023.100242
- Pandiyan P.,
Saravanan S., Usha K., Kannadasan R., Alsharif M. H. &
Kim M.-K., 2023. Technological advancements toward smart
energy management in smart cities, Energy Reports,
10: 648-677. https://doi.org/10.1016/j.egyr.2023.07.021
- Zhou K. & Wen
L., 2023. Smart Energy Management: Data Driven Methods
for Energy Service Innovation, Springer Singapore. https://doi.org/10.1007/978-981-16-9360-1
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| Created:
Jan 2024 | Update: 31 Jan 2024 |