آمار

تعداد نشریات26
تعداد شماره‌ها379
تعداد مقالات3,335
تعداد مشاهده مقاله5,037,060
تعداد دریافت فایل اصل مقاله3,437,389
Sadratdin, A., Sabah, A.A., Zaidi, M., Raed, K., Jamal, K.A., Al-Mansor, H.O., Khattab, F.. (1401). A Novel Energy Management System to Optimize the Energy Consumption in a Smart Building. سامانه مدیریت نشریات علمی, 11(Special Issue), 28-32. doi: 10.22098/joape.2023.13225.2001
A. Sadratdin; A.A. Sabah; M. Zaidi; K. Raed; K.A. Jamal; H.O. Al-Mansor; F. Khattab. "A Novel Energy Management System to Optimize the Energy Consumption in a Smart Building". سامانه مدیریت نشریات علمی, 11, Special Issue, 1401, 28-32. doi: 10.22098/joape.2023.13225.2001
Sadratdin, A., Sabah, A.A., Zaidi, M., Raed, K., Jamal, K.A., Al-Mansor, H.O., Khattab, F.. (1401). 'A Novel Energy Management System to Optimize the Energy Consumption in a Smart Building', سامانه مدیریت نشریات علمی, 11(Special Issue), pp. 28-32. doi: 10.22098/joape.2023.13225.2001
Sadratdin, A., Sabah, A.A., Zaidi, M., Raed, K., Jamal, K.A., Al-Mansor, H.O., Khattab, F.. A Novel Energy Management System to Optimize the Energy Consumption in a Smart Building. سامانه مدیریت نشریات علمی, 1401; 11(Special Issue): 28-32. doi: 10.22098/joape.2023.13225.2001

A Novel Energy Management System to Optimize the Energy Consumption in a Smart Building

Journal of Operation and Automation in Power Engineering
دوره 11، Special Issue، اسفند 2023، صفحه 28-32    اصل مقاله (547.55 K)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2023.13225.2001
نویسندگان
A. Sadratdin1؛ A.A. Sabah* 2؛ M. Zaidi3؛ K. Raed4؛ K.A. Jamal5؛ H.O. Al-Mansor6؛ F. Khattab7
1Associate Professor of the Department of “Automation and Robotics”, JSC Almaty Technological University, Republic of Kazakhstan.
2Ahl Al Bayt University / Kerbala / Iraq
3Al-Manara College For Medical Sciences (maysan), Iraq.
4Medical technical college, Al-Farahidi University, Baghdad , Iraq
5AL-Nisour University College, Baghdad, Iraq
6Department of Optical Techniques, Al-Zahrawi University College, Karbala, Iraq
7Kazan state power engineering university, Kazan, Russia
چکیده
Over the last few decades, the majority of industrialized and developed countries have placed a strong emphasis on reducing the amount of wasted energy. In this study, electrical energy consumption is optimized by monitoring power consumption caused by residents' activities at various times of the day and storing this data in a database. An optimization algorithm was used in this study to smarten up the management of energy consumption in the building based on inhabitants' activities. The Genetic Algorithm (GA) was used to optimize the energy consumption in a smart building compared to a traditional building. Furthermore, the algorithm will enable the creation of a smart building that requires no human intervention by presenting a model based on the energy efficiency management system for the automatic operation of household equipment based on the presence of the resident scenario. The main benefit of implementing smart grid technology in the studied building was the ability to manage and monitor the energy supply and demand process. The results showed that the proposed management system in the smart building consumes less energy and power than conventional buildings. The smart building reduces energy consumption for outlets, lighting, cooling, and heating by 38%, 28%, 34%, and 33%, respectively.
کلیدواژه‌ها
Energy Managment؛ Smart Building؛ Energy consumption؛ Optimization
مراجع
  1. W. Mao, Z. Zhao, Z. Chang, G. Min, and W. Gao, “EnergyEfficient Industrial Internet of Things: Overview and Open Issues,” IEEE Trans. Ind. Inf., vol. 17, no. 11, pp. 7225–7237, Nov. 2021, doi: 10.1109/TII.2021.3067026.
  2. A. Molajou, A. Afshar, M. Khosravi, E. Soleimanian, M. Vahabzadeh, and H. A. Variani, “A new paradigm of water, food, and energy nexus,”Environ. Sci. Pollut. Res., 2021, doi: 10.1007/s11356-021-13034-1.
  3. T. Wu, S. T. Ng, and J. Chen, “Deciphering the CO2 emissions and emission intensity of cement sector in China through decomposition analysis,” J. Cleaner Prod., vol. 352, p. 131627, Jun. 2022, doi: 10.1016/j.jclepro.2022.131627.
  4. S. Berdysheva and S. Ikonnikova, “The Energy Transition and Shifts in Fossil Fuel Use: The Study of International Energy Trade and Energy Security Dynamics,” Energies, vol. 14, no. 17, p. 5396, Aug. 2021, doi: 10.3390/en14175396.
  5. T. Kober, H.-W. Schiffer, M. Densing, and E. Panos, “Global energy perspectives to 2060 – WEC’s World Energy Scenarios 2019,” Energy Strategy Rev., vol. 31, p. 100523, Sep. 2020, doi: 10.1016/j.esr.2020.100523.
  6. X. Yang, S. Zhang, and W. Xu, “Impact of zero energy buildings on medium-to-long term building energy consumption in China,” Energy Policy, vol. 129, pp. 574–586, Jun. 2019, doi: 10.1016/j.enpol.2019.02.025.
  7. A. S. Alamoush, F. Ballini, and A. I. Ölçer, “Ports’ technical and operational measures to reduce greenhouse gas emission and improve energy efficiency: A review,” Mar. Pollut. Bull., vol. 160, p. 111508, Nov. 2020, doi: 10.1016/j.marpolbul.2020.111508.
  8. M. H. Sial, N. Arshed, M. A. Amjad, and Y. A. Khan, “Nexus between fossil fuel consumption and infant mortality rate: a non-linear analysis,” Environ. Sci. Pollut. Res., vol. 29, no. 38, pp. 58378–58387, Aug. 2022, doi: 10.1007/s11356022-19975-5.
  9. L. Belussi et al., “A review of performance of zero energy buildings and energy efficiency solutions,” J. Build. Eng., vol. 25, p. 100772, Sep. 2019, doi: 10.1016/j.jobe.2019.100772.
  10. A. Shajahan, C. H. Culp, and B. Williamson, “Effects of indoor environmental parameters related to building heating, ventilation, and air conditioning systems on patients’ medical outcomes: A review of scientific research on hospital buildings,” Indoor Air vol. 29, no. 2, pp. 161–176, Mar. 2019, doi: 10.1111/ina.12531.
  11. L. Zhou and F. Haghighat, “Optimization of ventilation system design and operation in office environment, Part I: Methodology,” Build. Environ., vol. 44, no. 4, pp. 651–656, Apr. 2009, doi: 10.1016/j.buildenv.2008.05.009.
  12. A. L. S. Chan, T. T. Chow, K. F. Fong, and Z. Lin, “Investigation on energy performance of double skin façade in Hong Kong,” Energy Build., vol. 41, no. 11, pp. 1135–1142, Nov. 2009, doi: 10.1016/j.enbuild.2009.05.012.
  13. M. K. Nematchoua, A. Marie-Reine Nishimwe, and S. Reiter, “Towards nearly zero-energy residential neighbourhoods in the European Union: A case study,” Renewable Sustainable Energy Rev., vol. 135, p. 110198, Jan. 2021, doi: 10.1016/j.rser.2020.110198.
  14. H. I. Naji, M. Mahmood, and H. E. Mohammad, “Using BIM to propose building alternatives towards lower consumption of electric power in Iraq,” Asian J. Civ. Eng., vol. 20, no. 5, pp. 669–679, Jul. 2019, doi: 10.1007/s42107-019-00134-0.
  15. V. Hartkopf and V. Loftness, “Global relevance of total building performance,” Autom. Constr., vol. 8, no. 4, pp. 377–393, Apr. 1999, doi: 10.1016/S0926-5805(98)00085-5.
  16. T. Mazhar et al., “The Role of ML, AI and 5G Technology in Smart Energy and Smart Building Management,” Electron.,    vol. 11, no. 23, p. 3960, Nov. 2022, doi: 10.3390/electronics11233960.
  17. S. A. Sharif and A. Hammad, “Simulation-Based MultiObjective Optimization of institutional building renovation considering energy consumption, Life-Cycle Cost and LifeCycle Assessment,” J. Build. Eng., vol. 21, pp. 429–445, Jan. 2019, doi: 10.1016/j.jobe.2018.11.006.
  18. M. Khalil, M. Esseghir, and L. Merghem-Boulahia, “Federated Learning for Energy-Efficient Thermal Comfort Control Service in Smart Buildings,” IEEE Global Commun. Conf. (GLOBECOM), Dec. 2021, pp. 01–06. doi: 10.1109/GLOBECOM46510.2021.9685286.
  19. S. Bicer and F. H. Halicioglu, “Rethinking the influence of the Intelligent Building Systems on productivity, health, and well-being for enhancing the quality of life during mandatory working from home: Lessons learned from the COVID-19 pandemic,” IOP Conf. Ser.: Earth Environ. Sci., vol. 1101, no. 3, p. 032001, Nov. 2022, doi: 10.1088/17551315/1101/3/032001.
  20. J. Al Dakheel, C. Del Pero, N. Aste, and F. Leonforte, “Smart buildings features and key performance indicators: A review,” Sustainable Cities Soc., vol. 61, p. 102328, Oct. 2020, doi:
    10.1016/j.scs.2020.102328.
  21. M. O. Oyewole, F. M. Araloyin, and P. T. Oyewole, “Residents’ Awareness and Aspiration for Smart Building Features: The Case of Okota, Lagos, Nigeria,” Niger. J. Environ. Sci. Technol., vol. 3, no. 1, pp. 30–40, Mar. 2019, doi: 10.36263/nijest.2019.01.0098.
  22. W. W. Che et al., “Energy consumption, indoor thermal comfort and air quality in a commercial office with retrofitted heat, ventilation and air conditioning (HVAC) system,” Energy Build., vol. 201, pp. 202–215, Oct. 2019, doi: 10.1016/j.enbuild.2019.06.029.
  23. T. K. L. Nguyen et al., “Environmental impacts and greenhouse gas emissions assessment for energy recovery and material recycle of the wastewater treatment plant,” Sci. Total Environ., vol. 784, p. 147135, Aug. 2021, doi: 10.1016/j.scitotenv.2021.147135.
  24. A. I. Reginald, “Integrating BIM with BMS in Energy Performance Assessment,” Int. J. 3-D Inf. Model., vol. 4, no. 1, pp. 19–44, Jan. 2015, doi: 10.4018/IJ3DIM.2015010102.
  25. 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,” Autom. Constr., vol. 72, pp. 195–210, Dec. 2016, doi: 10.1016/j.autcon.2016.08.043.
  26. A. Namvar and J. Salehi, “Adaptive Residential Energy Hubs Scheduling Considering Renewable Sources,” J. Oper. Autom. Power Eng., 2022, doi: 10.22098/joape.2023.11083.1826.
  27. J. Salehi, F. S. Gazijahani, and A. Safari, “Stochastic Simultaneous Planning of Interruptible Loads, Renewable Generations and Capacitors in Distribution Network,” J. Oper. Autom. Power Eng., 2022, doi: 10.22098/joape.2022.7826.1553.
  28. V. D. Juyal and S. Kakran, “Optimized Cost of Energy by a Home Energy Management System Employing Dynamic Power Import Limit Strategy: A Case study Approach,” J. Oper. Autom. Power Eng., vol. 11, no. 4, pp. 285–294, 2023, doi: 10.22098/joape.2022.10254.1728.
  29. Y. Wang and C. Wei, “Design optimization of office building envelope based on quantum genetic algorithm for energy conservation,” J. Build. Eng., vol. 35, p. 102048, Mar. 2021, doi: 10.1016/j.jobe.2020.102048.
  30. H. Wei et al., “Unified Multi-Objective Genetic Algorithm for Energy Efficient Job Shop Scheduling,” IEEE Access, vol. 9, pp. 54542–54557, 2021, doi: 10.1109/ACCESS.2021.3070981.
  31. R. Z. Homod, A. Almusaed, A. Almssad, M. K. Jaafar, M. Goodarzi, and K. S. M. Sahari, “Effect of different building envelope materials on thermal comfort and airconditioning energy savings: A case study in Basra city, Iraq,” J. Energy Storage, vol. 34, p. 101975, Feb. 2021, doi: 10.1016/j.est.2020.101975.
آمار
تعداد مشاهده مقاله: 366
تعداد دریافت فایل اصل مقاله: 383


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب