The Application of BMS in Electrical Energy Management and Carbon Emission Reduction
Corressponding author's email:
nhibtm@ctd.edu.vnDOI:
https://doi.org/10.54644/jte.2024.1617Keywords:
Building Management System, Energy management, Carbon Emission Reduction, CO2 emissions, Optimizing energy usageAbstract
This article presents the application of Building Management System (BMS) in electrical load management. The BMS system in this article structure includes DDC, IOT 2050 Siemens, sensors, inverters and loads. Implementing this system in buildings saves energy, reduces operating costs and reduces CO2 emissions. A comparative analysis was conducted between projects with and without BMS implementation. The investment in the BMS incurs an additional capital expenditure, with a payback period of 7.3 years and a system lifespan of 20 years, providing a return of more than 13% on the investment. The results show significant energy savings with total consumption reduced by 13%. These findings highlight the effectiveness of BMS in optimizing energy use across different areas of a building, providing significant financial and environmental benefits. This research contributes to understanding the economic and environmental implications of integrating BMS into infrastructure development, creating favorable conditions for stakeholders in the construction and energy sectors.
Downloads: 0
References
Honeywell, "About Us," archived Mar. 3, 2020. [Online]. Available: https://honeywell.com. [Accessed: Mar. 2, 2020].
D. M. Hernández, L. H. Callejo, A. Z. Lamadrid, O. D. Pérez, and F. S. García, "A review of strategies for building energy management systems: Model predictive control, demand side management, optimization, and fault detection & diagnosis," Journal of Building Engineering, vol. 101692, 2020. doi: 10.1016/j.jobe.2020.101692. DOI: https://doi.org/10.1016/j.jobe.2020.101692
M. Ashouri, F. Haghighat, B. C. M. Fung, and H. Yoshino, "Development of a ranking procedure for energy performance evaluation of buildings based on occupant behavior," Energy and Buildings, vol. 183, pp. 659–671, 2019. doi: 10.1016/j.enbuild.2018.11.050. DOI: https://doi.org/10.1016/j.enbuild.2018.11.050
L. P. Lombard, J. Ortiz, and C. Pout, "A review on buildings energy consumption information," Energy and Buildings, vol. 40, no. 3, pp. 394–398, 2008. doi: 10.1016/j.enbuild.2007.03.007. DOI: https://doi.org/10.1016/j.enbuild.2007.03.007
S. Wang and J. Xie, "Integrating Building Management System and facilities management on the Internet," Automation in Construction, vol. 11, no. 6, pp. 707–715, 2002. doi: 10.1016/S0926-5805(02)00011-0. DOI: https://doi.org/10.1016/S0926-5805(02)00011-0
J. Yu, M. Kim, H. C. Bang, S. H. Bae, and S. J. Kim, "IoT as an application: Cloud-based building management systems for the Internet of Things," Multimedia Tools and Applications, vol. 75, no. 22, pp. 14583–14596, 2015. doi: 10.1007/s11042-015-2785-0. DOI: https://doi.org/10.1007/s11042-015-2785-0
D. N. Le, L. T. Le, and M. N. Dang, "Smart-building management system: An Internet-of-Things (IoT) application business model in Vietnam," Technological Forecasting and Social Change, vol. 141, pp. 22–35, 2019. doi: 10.1016/j.techfore.2019.01.002. DOI: https://doi.org/10.1016/j.techfore.2019.01.002
S. Papantoniou, S. Mangili, and I. Mangialenti, "Using Intelligent Building Energy Management System for the Integration of Several Systems to one Overall Monitoring and Management System," Energy Procedia, vol. 111, pp. 639–647, 2017. doi: 10.1016/j.egypro.2017.03.226. DOI: https://doi.org/10.1016/j.egypro.2017.03.226
R. Eini, L. Linkous, N. Zohrabi, and S. Abdelwahed, "Smart building management system: Performance specifications and design requirements," Journal of Building Engineering, vol. 39, 102222, 2021. doi: 10.1016/j.jobe.2021.102222. DOI: https://doi.org/10.1016/j.jobe.2021.102222
R. D. Tumėnienė, G. Mikučionienė, G. Streckienė, and J. Bielskus, "Development and analysis of a dynamic energy model of an office using a building management system (BMS) and actual measurement data," Energies, vol. 14, no. 6419, 2021. DOI: https://doi.org/10.3390/en14196419
E. Biyik and A. Kahraman, "A predictive control strategy for optimal management of peak load, thermal comfort, energy storage and renewables in multi-zone buildings," Journal of Building Engineering, vol. 25, 100826, 2019. doi: 10.1016/j.jobe.2019.100826. DOI: https://doi.org/10.1016/j.jobe.2019.100826
F. Oldewurtel, C. N. Jones, A. Parisio, and M. Morari, "Stochastic Model Predictive Control for Building Climate Control," IEEE Transactions on Control Systems Technology, vol. 22, no. 3, pp. 1198–1205, 2014. doi: 10.1109/TCST.2013.2272178. DOI: https://doi.org/10.1109/TCST.2013.2272178
H. A. Gabbar, A. M. Othman, and M. R. Abdussami, "Review of Battery Management Systems (BMS) Development and Industrial Standards," Technologies, vol. 9, no. 2, p. 28, 2021. doi: 10.3390/technologies9020028. DOI: https://doi.org/10.3390/technologies9020028
N. K. Kim, M. H. Shim, and D. Won, "Building Energy Management Strategy Using an HVAC System and Energy Storage System," Energies, vol. 11, no. 10, p. 2690, 2018. doi: 10.3390/en11102690. DOI: https://doi.org/10.3390/en11102690
A. H. Oti, E. Kurul, F. Cheung, and J. H. M. Tah, "A framework for the utilization of Building Management System data in building information models for building design and operation," Automation in Construction, 2016. DOI: https://doi.org/10.1016/j.autcon.2016.08.043
A. GhaffarianHoseini et al., "Application of nD BIM Integrated Knowledge-based Building Management System (BIM-IKBMS) for inspecting post-construction energy," 2017. DOI: https://doi.org/10.1016/j.rser.2016.12.061
G. K. C. Ding, "Sustainable construction—The role of environmental assessment tools," Journal of Environmental Management, vol. 86, no. 3, pp. 451–464, 2008. doi: 10.1016/j.jenvman.2006.12.025. DOI: https://doi.org/10.1016/j.jenvman.2006.12.025
Official Dispatch 327/BĐKH-PTCBT-2024, (in Vietnamese), Ministry of Natural Resources and Environment of Vietnam, 2024.
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2024 Journal of Technical Education Science

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright © JTE.


